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#240 Manos Koukoumidis: Why The Future of AI is Open-Source
4 maart 2025 · 1 uur 6 min
This episode is brought to you by Sonar, the creators of SonarQube Server, Cloud, IDE, and the open source Community Build. Lees meer
Sonar unlocks actionable code intelligence, helping to redefine the software development lifecycle by use of AI and AI agentic systems, to continuously improve quality and security
while reducing developer toil. By analyzing all code, regardless of who writes it—your internal team or genAI—Sonar enables more secure, reliable, and maintainable software. Join the over 7 million developers from organizations like the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile, who use Sonar.
Visit http://sonarsource.com/eyeonai to try SonarQube for free today.
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The Future of AI is Open-Source | Manos Koukoumidis on UMI & The AI Revolution
Is closed AI holding back innovation? In this episode, Manos Koukoumidis, CEO of Oumi, makes the case for why the future of AI must be open-source. OUMI (Open Universal Machine Intelligence) is redefining how AI is built—offering fully open models, open data, and open collaboration to make AI development more transparent, accessible, and community-driven.
Big Tech has dominated AI, but UMI is challenging the status quo by creating a platform where anyone can train, fine-tune, and deploy AI models with just a few commands. Could this be the Linux moment for AI?
What You'll Learn in This Episode:
Why open-source AI is the only sustainable path forward
The difference between "open-source" AI and true open AI
How OUMI enables researchers and enterprises to build better AI models
Why Big Tech's closed AI systems are losing their competitive edge
The impact of open AI on healthcare, science, and enterprise innovation
The future of AI models—will proprietary AI survive?
The AI revolution is happening—and it's open-source. If you care about the future of AI, innovation, and ethical tech development, this episode is a must-watch.
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#239 Tuhin Srivatsa: How Baseten is Disrupting AI Deployment & Scaling in 2025
26 februari 2025 · 46 min
This episode is sponsored by Thuma. Lees meer
Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details.
To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai
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AI deployment is broken—can it be fixed? In this episode, Tuhin Srivatsa, CEO & Co-Founder of Baseten, reveals how his company is DISRUPTING AI infrastructure, making it easier, faster, and more cost-effective to deploy and scale AI models in production.
As enterprises increasingly turn to open-source AI models and grapple with the high costs and complexity of scaling, Baseten offers a game-changing solution that eliminates bottlenecks and simplifies the process. Discover how Baseten is taking on AWS SageMaker, OpenAI, and cloud-based AI deployment platforms to reshape the future of AI model deployment.
What You'll Learn in This Episode:
Why AI deployment & scaling is one of the biggest challenges in 2025
How Baseten enables enterprises to run AI models faster & more efficiently
The shift from closed-source to open-source AI models—and why it matters
The hidden costs of AI inference & how to optimize for performance
Why most AI models fail in production and how to prevent it
The future of AI infrastructure: What comes next for scalable AI
Whether you're a machine learning engineer, AI researcher, startup founder, or enterprise leader, this episode is packed with actionable insights to help you scale AI models without the headaches.
Don't miss this conversation on the next era of AI deployment!
#AI #ArtificialIntelligence #MachineLearning #Baseten #AIDeployment #AIScaling #Inference #MLInfrastructure #TechPodcast
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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(00:00) Tuhin Srivatsa's Journey in AI & Baseten
(01:50) What is AI Infrastructure &…
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#238 Dominic Williams Reveals His Vision for the Internet Computer (ICP)
21 februari 2025 · 1 uur 15 min
This episode is sponsored by Indeed. Lees meer
Stop struggling to get your job post seen on other job sites. Indeed's Sponsored Jobs help you stand out and hire fast. With Sponsored Jobs your post jumps to the top of the page for your relevant candidates, so you can reach the people you want faster.
Get a $75 Sponsored Job Credit to boost your job's visibility! Claim your offer now: https://www.indeed.com/EYEONAI
Dominic Williams' Bold Vision for The Internet Computer (ICP) | The Future of Decentralized Computing
The internet is broken—can blockchain fix it? In this episode, Dominic Williams, the visionary behind The Internet Computer (ICP) and founder of DFINITY, reveals his plan to build a decentralized alternative to cloud computing. Discover how ICP is challenging Big Tech, replacing traditional IT infrastructure, and creating a tamper-proof, autonomous internet powered by smart contracts.
What You'll Learn in This Episode:
Why Dominic Williams believes the current internet is flawed
How ICP aims to replace centralized cloud providers like AWS & Google Cloud
The role of smart contracts in making the internet more secure and censorship-resistant
The mission of DFINITY and how it started in 2016
The future of Web3, decentralized applications (dApps), and blockchain governance
Don't miss this deep dive into the future of the internet! If you're interested in blockchain, decentralization, and the next evolution of the web, this episode is for you.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) The Origins of The Internet Computer
(02:57) Dominic Williams' Background in Tech
(04:28) Early Innovations in Distributed Computing
(07:08) The Birth of a 'World Computer' Concept
(11:22) Reimagining IT: A Decentralized Alternative
(13:45) The Creation of DFINITY and ICP
(16:29) How ICP Differs from Traditional Blockchains
(22:05) The Problem with Cloud-Based Blockchains
(25:35) How ICP En…
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#237 Pedro Domingos Breaks Down The Symbolist Approach to AI
18 februari 2025 · 48 min
This episode is sponsored by Thuma. Lees meer
Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details.
To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai
In this episode of the Eye on AI podcast, Pedro Domingos—renowned AI researcher and author of The Master Algorithm—joins Craig Smith to break down the Symbolist approach to artificial intelligence, one of the Five Tribes of Machine Learning.
Pedro explains how Symbolic AI dominated the field for decades, from the 1950s to the early 2000s, and why it's still playing a crucial role in modern AI. He dives into the Physical Symbol System Hypothesis, the idea that intelligence can emerge purely from symbol manipulation, and how AI pioneers like Marvin Minsky and John McCarthy built the foundation for rule-based AI systems.
The conversation unpacks inverse deduction—the Symbolists' "Master Algorithm"—and how it allows AI to infer general rules from specific examples. Pedro also explores how decision trees, random forests, and boosting methods remain some of the most powerful AI techniques today, often outperforming deep learning in real-world applications.
We also discuss why expert systems failed, the knowledge acquisition bottleneck, and how machine learning helped solve Symbolic AI's biggest challenges. Pedro shares insights on the heated debate between Symbolists and Connectionists, the ongoing battle between logic-based reasoning and neural networks, and why the future of AI lies in combining these paradigms.
From AlphaGo's hybrid approach to modern AI models integrating logic and reasoning, this episode is a deep dive into the past, present, and future of Symbolic AI—and why it might be making a comeback.
Don't forget to like, subscribe, and hit the notification bell for more expert discussions on AI, technology, and the future of intelligence!
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Craig Smith Twitter: https://twitter.com/…
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#236 Pedro Domingo's on Bayesians and Analogical Learning in AI
10 februari 2025 · 57 min
This episode is sponsored by Thuma. Lees meer
Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details.
To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai
In this episode of the Eye on AI podcast, Pedro Domingos, renowned AI researcher and author of The Master Algorithm, joins Craig Smith to explore the evolution of machine learning, the resurgence of Bayesian AI, and the future of artificial intelligence.
Pedro unpacks the ongoing battle between Bayesian and Frequentist approaches, explaining why probability is one of the most misunderstood concepts in AI. He delves into Bayesian networks, their role in AI decision-making, and how they powered Google's ad system before deep learning. We also discuss how Bayesian learning is still outperforming humans in medical diagnosis, search & rescue, and predictive modeling, despite its computational challenges.
The conversation shifts to deep learning's limitations, with Pedro revealing how neural networks might be just a disguised form of nearest-neighbor learning. He challenges conventional wisdom on AGI, AI regulation, and the scalability of deep learning, offering insights into why Bayesian reasoning and analogical learning might be the future of AI.
We also dive into analogical learning—a field championed by Douglas Hofstadter—exploring its impact on pattern recognition, case-based reasoning, and support vector machines (SVMs). Pedro highlights how AI has cycled through different paradigms, from symbolic AI in the '80s to SVMs in the 2000s, and why the next big breakthrough may not come from neural networks at all.
From theoretical AI debates to real-world applications, this episode offers a deep dive into the science behind AI learning methods, their limitations, and what's next for machine intelligence.
Don't forget to like, subscribe, and hit the notification bell for more expert discussions on AI, techno…
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#235 Vall Herard: The Future of AI-Driven Compliance (Saifr.ai)
3 februari 2025 · 52 min
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Lees meer
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
In this episode of Eye on AI, Vall Herard, CEO of Saifr.ai, joins Craig Smith to explore how AI is transforming compliance in financial services.
Saifr.ai acts as a "grammar check" for regulatory compliance, ensuring AI-generated content meets SEC, FINRA, and global financial regulations. Vall explains how Saifr integrates into Microsoft Word, Outlook, and Adobe, reducing compliance risks in marketing, emails, and AI chatbots.
We also discuss Saifr.ai's partnership with Microsoft, AI's role in regulated industries, and how businesses can safely adopt generative AI without violating compliance laws.
- How does AI reduce compliance friction?
- Why is regulatory oversight a barrier to AI adoption?
- What does AI safety really mean for financial services?Find out in this deep dive into AI, compliance, and the future of regulation.
Like, subscribe, and hit the notification bell for more AI insights!
Strengthen your compliance controls with AI: https://saifr.ai/
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI(00:00) Introduction to Generative AI and Compliance
(02:47) Meet Vall Herard, CEO of Saifr.ai
(05:28) What Saifr.ai Does and Its Mission
(08:25) How Saifr.ai Ensures Regulatory Compliance
(12:13) Overcoming AI Adoption Barriers in Finance
(19:58) Saifr.ai's Partnership with Microsoft
(24:11) How SaferAI Integrates with Microsoft Office
(29:33) AI in Podcast and Audio Compliance Review
(33:54) Saifr.ai's Business Model and Pricing
(38:09) How Saifr.ai Works with Generative AI Chatbots
(42:36) Supporting Multiple Languages for Compliance
(50:08) Future Outlook -
#234 Tyler Xuan Saltsman: How AI is Shaping the Future of Combat & Warfare
29 januari 2025 · 39 min
In this episode of the Eye on AI podcast, Tyler Xuan Saltsman, CEO of Edgerunner, joins Craig Smith to explore how AI is reshaping military strategy, logistics, and defense technology—pushing the boundaries of what's possible in modern warfare. Lees meer
Tyler shares the vision behind Edgerunner, a company at the cutting edge of generative AI for military applications. From logistics and mission planning to autonomous drones and battlefield intelligence, Edgerunner is building domain-specific AI that enhances decision-making, ensuring national security while keeping humans in control.
We dive into how AI-powered military agents work, including the LoRA (Low-Rank Adaptation) model, which fine-tunes AI to think and act like military specialists—whether in logistics, aircraft maintenance, or real-time combat scenarios. Tyler explains how retrieval-augmented generation (RAG) and small language models allow warfighters to access mission-critical intelligence without relying on the internet, bringing real-time AI support directly to the battlefield.
Tyler also discusses the future of drone warfare—how AI-driven, vision-enabled drones can neutralize threats autonomously, reducing reliance on human pilots while increasing battlefield efficiency. With autonomous swarms, AI-powered kamikaze drones, and real-time situational awareness, the landscape of modern warfare is evolving fast.
Beyond combat, we explore AI's role in security, including advanced weapons detection systems that can safeguard military bases, schools, and public spaces. Tyler highlights the urgent need for transparency in AI, contrasting Edgerunner's open and auditable AI models with the black-box approaches of major tech companies.
Discover how AI is transforming military operations, from logistics to combat strategy, and what this means for the future of defense technology.
Don't forget to like, subscribe, and hit the notification bell for more deep dives into AI, defense, and cutting-edge technology!
Stay U…
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#233 Matt Price: How Crescendo is Disrupting Customer Service with Gen AI
26 januari 2025 · 45 min
In this episode of the Eye on AI podcast, Matt Price, CEO of Crescendo, joins Craig Smith to discuss how generative AI is reshaping customer service and blending seamlessly with human expertise to create next-level customer experiences. Lees meer
Matt shares the story behind Crescendo, a company at the forefront of revolutionizing customer service by integrating advanced AI technology with human-driven solutions. With a focus on outcome-based service delivery and quality assurance, Crescendo is setting a new standard for customer engagement.
We dive into Crescendo's innovative approach, including its use of large language models (LLMs) combined with proprietary IP to deliver consistent, high-quality support across 56 languages. Matt explains how Crescendo's AI tools are designed to handle routine tasks while enabling human agents to focus on complex, empathy-driven interactions—resulting in higher job satisfaction and better customer outcomes.
Matt highlights how Crescendo is redefining the BPO industry, combining AI and human capabilities to reduce costs while improving the quality of customer interactions. From enhancing agent retention to enabling scalable, multilingual support, Crescendo's impact is transformative.
Discover how Matt and his team are designing a future where AI and humans work together to deliver exceptional customer experiences—reimagining what's possible in the world of customer service.
Don't forget to like, subscribe, and hit the notification bell for more insights into AI, technology, and innovation!
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction to Matt Price and Crescendo
(01:49) The rise of AI in customer service
(05:34) Using AI and human expertise for better customer experiences
(07:47) How Gen AI reduces costs and improves engagement
(09:37) Challenges in customer service design and innovation
(11:32) Moving from hidden chatbots to front-and-cen…
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#232 Sepp Hochreiter: How LSTMs Power Modern AI System's
23 januari 2025 · 51 min
In this special episode of the Eye on AI podcast, Sepp Hochreiter, the inventor of Long Short-Term Memory (LSTM) networks, joins Craig Smith to discuss the profound impact of LSTMs on artificial intelligence, from language models to real-time robotics. Lees meer
Sepp reflects on the early days of LSTM development, sharing insights into his collaboration with Jürgen Schmidhuber and the challenges they faced in gaining recognition for their groundbreaking work.
He explains how LSTMs became the foundation for technologies used by giants like Amazon, Apple, and Google, and how they paved the way for modern advancements like transformers. Topics include:
- The origin story of LSTMs and their unique architecture.
- Why LSTMs were crucial for sequence data like speech and text.
- The rise of transformers and how they compare to LSTMs.
- Real-time robotics: using LSTMs to build energy-efficient, autonomous systems.The next big challenges for AI and robotics in the era of generative AI. Sepp also shares his optimistic vision for the future of AI, emphasizing the importance of efficient, scalable models and their potential to revolutionize industries from healthcare to autonomous vehicles.
Don't miss this deep dive into the history and future of AI, featuring one of its most influential pioneers.
(00:00) Introduction: Meet Sepp Hochreiter
(01:10) The Origins of LSTMs
(02:26) Understanding the Vanishing Gradient Problem
(05:12) Memory Cells and LSTM Architecture
(06:35) Early Applications of LSTMs in Technology
(09:38) How Transformers Differ from LSTMs
(13:38) Exploring XLSTM for Industrial Applications
(15:17) AI for Robotics and Real-Time Systems
(18:55) Expanding LSTM Memory with Hopfield Networks
(21:18) The Road to XLSTM Development
(23:17) Industrial Use Cases of XLSTM
(27:49) AI in Simulation: A New Frontier
(32:26) The Future of LSTMs and Scalability
(35:48) Inference Efficiency and Potential Applications
(39:53) Continuous Learning and Adaptability in AI
(42:59) Traini… -
#231 Paras Jain: The Future of AI Video Generation with Genmo
17 januari 2025 · 48 min
In this episode of the Eye on AI podcast, Paras Jain, CEO and Co-founder of Genmo, joins Craig Smith to explore the cutting-edge world of AI-driven video generation, the open-source revolution, and the future of creative storytelling. Lees meer
Paras shares the story behind Genmo, a company at the forefront of advancing video generation technologies, and their groundbreaking model, Mochi One. With a focus on motion quality and prompt adherence, Genmo is redefining what's possible in generative AI for video, offering unmatched precision and creative possibilities.
We delve into the innovative approach behind Mochi One, including its state-of-the-art architecture, which enables fast, high-quality video generation. Paras explains how Genmo's commitment to open source empowers developers and researchers worldwide, fostering rapid advancements, customization, and the creation of new tools, like video-to-video editing.
The conversation touches on key themes such as scalability, synthetic data pipelines, and the transformative potential of AI in creating immersive virtual worlds. Paras also explores how Genmo is bridging the gap between cutting-edge AI and practical applications, from TikTok-ready videos to future possibilities like interactive environments and real-time video game-like experiences.
Discover how Paras and his team are shaping the future of video creation, blending art, science, and open collaboration to push the boundaries of generative AI.
Don't forget to like, subscribe, and hit the notification bell for more insightful conversations on AI, technology, and innovation!
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction to Paras Jain and Genmo
(01:45) Video generation with Mochi One
(04:41) Open-source AI in video generation
(06:08) Building Mochi One
(12:03) Simulating complex physics in video models
(14:35) Reducing latency: Fast video generation at scale
(20:34) Tac…
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#230 Jamie Lerner: How Quantum Solves AI's Need for Unstructured Data Solutions
13 januari 2025 · 53 min
This episode is sponsored by Oracle. Lees meer
Oracle Cloud Infrastructure, or OCI is a blazing fast and secure platform for your infrastructure, database, application development, plus all your AI and machine learning workloads. OCI costs 50% less for compute and 80% less for networking. So you're saving a pile of money. Thousands of businesses have already upgraded to OCI, including MGM Resorts, Specialized Bikes, and Fireworks AI.
Cut your current cloud bill in HALF if you move to OCI now: https://oracle.com/eyeonai
In this episode of the Eye on AI podcast, Jamie Lerner, CEO of Quantum, joins Craig Smith to discuss the future of data storage, unstructured data management, and AI's transformative role in modern workflows.
Jamie shares his journey leading Quantum, a company revolutionizing the storage and management of unstructured data for industries like healthcare, media, and AI research. With decades of expertise in creating innovative data solutions, Quantum is at the forefront of enabling efficient, secure, and scalable data workflows.
We dive into Quantum's cutting-edge technologies, from high-speed flash storage systems like the Myriad file system to cost-effective, long-term archival solutions such as tape systems. Jamie unpacks how Quantum supports AI-powered workflows, enabling seamless data movement, metadata tagging, and policy-driven automation for unstructured data like medical imaging, genomics, and video archives.
Jamie also explores the critical role of data sovereignty in today's global landscape, the growing importance of "forever archives," and how Quantum's tools help organizations balance exponential data growth with flat budgets. He sheds light on innovations like synthetic DNA and compressed storage mediums, providing a glimpse into the future of data storage.
Don't forget to like, subscribe, and hit the notification bell for more engaging discussions on AI, technology, and innovation!
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Craig Smith Twitter: https://twitter.com/…
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#229 Mitesh Agrawal: Why Lambda Labs' AI Cloud Is a Game-Changer for Developers
8 januari 2025 · 56 min
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Lees meer
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
In this episode of the Eye on AI podcast, we dive into the transformative world of AI compute infrastructure with Mitesh Agrawal, Head of Cloud/COO at Lambda
Mitesh takes us on a journey from Lambda Labs' early days as a style transfer app to its rise as a leader in providing scalable, deep learning infrastructure. Learn how Lambda Labs is reshaping AI compute by delivering cutting-edge GPU solutions and accessible cloud platforms tailored for developers, researchers, and enterprises alike.
Throughout the episode, Mitesh unpacks Lambda Labs' unique approach to optimizing AI infrastructure—from reducing costs with transparent pricing to tackling the global GPU shortage through innovative supply chain strategies. He explains how the company supports deep learning workloads, including training and inference, and why their AI cloud is a game-changer for scaling next-gen applications.
We also explore the broader landscape of AI, touching on the future of AI compute, the role of reasoning and video models, and the potential for localized data centers to meet the growing demand for low-latency solutions. Mitesh shares his vision for a world where AI applications, powered by Lambda Labs, drive innovation across industries.
Tune in to discover how Lambda Labs is democratizing access to deep learning compute and paving the way for the future of AI infrastructure.
Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest in AI, deep learning, and transformative tech!
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction and Lambda Labs' Mission
(01:37) Origins: From DreamScope to …
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#228 Rodrigo Liang: How SambaNova Systems Is Disrupting AI Inference
2 januari 2025 · 24 min
This episode is sponsored by RapidSOS. Close the safety gap and transform your emergency response with RapidSOS. Lees meer
Visit https://rapidsos.com/eyeonai/ today to learn how AI-powered safety can protect your people and boost your bottom line.
In this episode of the Eye on AI podcast, we explore the world of AI inference technology with Rodrigo Liang, co-founder and CEO of SambaNova Systems.
Rodrigo shares his journey from high-performance chip design to building SambaNova, a company revolutionizing how enterprises leverage AI through scalable, power-efficient solutions. We dive into SambaNova's groundbreaking achievements, including their record-breaking inference models, the Lama 405B and 70B, which deliver unparalleled speed and accuracy—all on a single rack consuming less than 10 kilowatts of power.
Throughout the conversation, Rodrigo highlights the seismic shift from AI training to inference, explaining why production AI is now about speed, efficiency, and real-time applications. He details SambaNova's approach to open-source models, modular deployment, and multi-tenancy, enabling enterprises to scale AI without costly infrastructure overhauls.
We also discuss the competitive landscape of AI hardware, the challenges of NVIDIA's dominance, and how SambaNova is paving the way for a new era of AI innovation. Rodrigo explains the critical importance of power efficiency and how SambaNova's technology is unlocking opportunities for enterprises to deploy private, secure AI systems on-premises and in the cloud.
Discover how SambaNova is redefining AI for enterprise adoption, enabling real-time AI, and setting new standards in efficiency and scalability.
Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs in AI, technology, and enterprise innovation!
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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#227 Sedarius Tekara Perrotta: The Importance of Data Quality in AI Systems
30 december 2024 · 45 min
In this episode of the Eye on AI podcast, we dive into the critical issue of data quality for AI systems with Sedarius Perrotta, co-founder of Shelf. Lees meer
Sedarius takes us on a journey through his experience in knowledge management and how Shelf was built to solve one of AI's most pressing challenges—unstructured data chaos. He shares how Shelf's innovative solutions enhance retrieval-augmented generation (RAG) and ensure tools like Microsoft Copilot can perform at their best by tackling inaccuracies, duplications, and outdated information in real-time.
Throughout the episode, we explore how unstructured data acts as the "fuel" for AI systems and why its quality determines success. Sedarius explains Shelf's approach to data observability, transparency, and proactive monitoring to help organizations fix "garbage in, garbage out" issues, ensuring scalable and trusted AI initiatives.
We also discuss the accelerating adoption of generative AI, the future of data management, and why building a strategy for clean and trusted data is vital for 2025 and beyond. Learn how Shelf enables businesses to unlock the full potential of their unstructured data for AI-driven productivity and innovation.
Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest advancements in AI, data management, and next-gen automation!
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI(00:00) Introduction and Shelf's Mission
(03:01) Understanding SharePoint and Data Challenges
(05:29) Tackling Data Entropy in AI Systems
(08:13) Using AI to Solve Data Quality Issues
(12:30) Fixing AI Hallucinations with Trusted Data
(21:01) Gen AI Adoption Insights and Trends
(28:44) Benefits of Curated Data for AI Training
(37:38) Future of Unstructured Data Management -
#226 Nathan Michael: The Future of AI-Powered Drones and Autonomous Warfare (with Shield AI)
24 december 2024 · 58 min
Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com/ and use promo code EYEONAI to get 10% off any LegalZoom business formation product excluding subscriptions and renewals. Lees meer
In this episode of the Eye on AI podcast, we explore the cutting-edge world of AI-powered autonomy with Nathan Michael, CTO of Shield AI.
Nathan shares his journey from academia to leading one of the most innovative companies in defense technology, revealing how Shield AI is transforming autonomous systems to operate in the most challenging environments.
Throughout the episode, Nathan dives into Shield AI's groundbreaking technologies, including the revolutionary Hivemind platform, which enables drones and uncrewed jets to think, adapt, and act independently—even in GPS-denied and communication-jammed conditions. He explains how these systems are deployed across defense and commercial applications, reshaping intelligence, surveillance, and reconnaissance missions with unprecedented precision and resilience.
We also discuss the future of warfare and technology, from the commoditization of AI-driven autonomy to the ethical and strategic considerations of deploying these systems at scale. Nathan offers insights into how rapid iteration cycles and resilient intelligence will define the next era of defense innovation, ensuring mission success in increasingly complex scenarios.
Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest advancements in AI, robotics, and the future of autonomous systems!
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction to Shield AI and Hivemind
(03:02) Nathan Michael's journey to Shield AI
(06:07) Shield AI's mission and technology overview
(10:18) VBAT: A versatile tail-sitter aircraft
(12:44) Hivemind's swarm capabilities and applications
(14:32) Ethics and societal guardrails for autonomous sys…
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#225 Christian Marek: How AI is Shaping the Future of Product Management
19 december 2024 · 50 min
This episode is sponsored by RapidSOS. Close the safety gap and transform your emergency response with RapidSOS. Lees meer
Visit https://rapidsos.com/eyeonai/ today to learn how AI-powered safety can protect your people and boost your bottom line.
In this episode of the Eye on AI podcast, we delve into the role of AI in product management with Christian Marek, VP of Product at Productboard.
Christian shares his journey in shaping the future of product management, exploring how AI is changing the way we ideate, build, and deliver customer-centric products.
Throughout the episode, Christian unveils Productboard's innovative AI-driven solutions, including the groundbreaking Productboard Pulse, which accelerates ideation and discovery by aggregating and analyzing customer feedback. He explains how AI enables product managers to prioritize features, write detailed specifications, and align product roadmaps with organizational goals—all while driving ROI and delivering exceptional customer experiences.
We also discuss the evolution of product management, from its origins to its rise as a mainstream discipline in organizations of all sizes. Christian offers insights into how AI tools are reshaping the product management landscape, making it more efficient, collaborative, and impactful than ever before.
Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs in AI, product innovation, and customer-centric technology!
Checkout Productboard Pulse: https://www.productboard.com/product/voice-of-customer/
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction
(03:18) What is Productboard?
(05:04) Christian Marek's Journey
(07:20) Defining Product Management
(08:45) How Productboard Was Born
(10:05) Transforming Product Management
(14:32) Exploring Use Cases: Existing and New Product Development
(18:13) Scaling Productboard
(20:33) Managing C…
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#224 Tariq Shaukat: How Safe Is AI-Assisted Coding?
11 december 2024 · 53 min
This episode is sponsored by Oracle. Lees meer
Oracle Cloud Infrastructure, or OCI is a blazing fast and secure platform for your infrastructure, database, application development, plus all your AI and machine learning workloads. OCI costs 50% less for compute and 80% less for networking. So you're saving a pile of money. Thousands of businesses have already upgraded to OCI, including MGM Resorts, Specialized Bikes, and Fireworks AI.
Cut your current cloud bill in HALF if you move to OCI now: https://oracle.com/eyeonai
In this episode of the Eye on AI podcast, Tariq Shaukat, CEO of Sonar, joins Craig Smith to explore the future of code quality, security, and AI's role in software development.
Tariq shares his journey from leading roles at Google Cloud and Bumble to helming Sonar, a company disrupting code assurance for developers worldwide. With over 7 million users and support for 30+ programming languages, Sonar has become a critical tool in ensuring clean, maintainable, and secure code.
We dive into Sonar's innovative AI Code Assurance Workflow, which integrates seamlessly with generative AI tools like Copilot and Codium. Tariq discusses how Sonar addresses the challenges of AI-generated code, tackling issues like security vulnerabilities, maintainability problems, and the accountability crisis in today's coding landscape.
Tariq also unpacks the importance of hybrid deterministic and AI-driven approaches, the role of design and architecture in modern software development, and how Sonar is helping companies manage tech debt across billions of lines of code.
With Sonar's recent enterprise-grade SaaS launch and commitment to reducing developer toil, this episode offers valuable insights for developers, tech leaders, and anyone interested in the evolving intersection of AI and software engineering.
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#224 Matt Panousis: How AI Is Disrupting The Dubbing Industry (LipDub AI)
8 december 2024 · 52 min
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In this episode of the Eye on AI podcast, Matt Panousis, Co-Founder & COO @ LipDub AI, shares the journey behind the platforms a cutting-edge AI-powered lip-syncing tool revolutionizing the dubbing industry.
Matt joins Craig to explore the future of content localization, the evolution of LipDub, and how generative AI is transforming how audiences experience video content worldwide.
As a leader in AI and visual effects, Matt discusses how LipDub integrates advanced AI to enable real-time lip-syncing for dubbed audio, making Hollywood-quality dubbing affordable and accessible. From processing hours of video footage to handling complex, dynamic scenes, LipDub is empowering content creators to reach global audiences like never before.
We explore the challenges of creating realistic lip movements, the importance of mouth internals, textures, and fidelity, and how tools like LipDub stand apart from competitors like Rasque AI. Matt also introduces Vanity AI, LipDub's sister technology for automated digital makeup and de-aging, used by MARZ for high-end visual effects work.
Learn how LipDub is redefining the possibilities of content localization with AI and what the future holds as this technology evolves.
Don't miss this deep dive into AI-powered innovation with Matt Panousis. Like, subscribe, and hit the notification bell for more episodes exploring cutting-edge advancements in AI!
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(00:00) Introduction & Matt Panousis Background
(02:45) Origins of MARZ and LipDub
(04:20) LipDub vs. Competitors
(06:15) Integration with Dubbing Solutions
(08:00) LipDub Technical Process
(10:20) Competition
(12:20) Time and Cost
(14:00) Target Markets and Use… -
#224 Matt Panousis: How AI Is Disrupting The Dubbing Industry (LipDub AI) | Chinese Version
8 december 2024 · 49 min
Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com and use promo code EYEONAI to get 10% off any LegalZoom business formation product excluding subscriptions and renewals. Lees meer
In this episode of the Eye on AI podcast, Matt Panousis, Co-Founder & COO @ LipDub AI, shares the journey behind the platforms a cutting-edge AI-powered lip-syncing tool revolutionizing the dubbing industry.
Matt joins Craig to explore the future of content localization, the evolution of LipDub, and how generative AI is transforming how audiences experience video content worldwide.
As a leader in AI and visual effects, Matt discusses how LipDub integrates advanced AI to enable real-time lip-syncing for dubbed audio, making Hollywood-quality dubbing affordable and accessible. From processing hours of video footage to handling complex, dynamic scenes, LipDub is empowering content creators to reach global audiences like never before.
We explore the challenges of creating realistic lip movements, the importance of mouth internals, textures, and fidelity, and how tools like LipDub stand apart from competitors like Rasque AI. Matt also introduces Vanity AI, LipDub's sister technology for automated digital makeup and de-aging, used by MARZ for high-end visual effects work.
Learn how LipDub is redefining the possibilities of content localization with AI and what the future holds as this technology evolves.
Don't miss this deep dive into AI-powered innovation with Matt Panousis. Like, subscribe, and hit the notification bell for more episodes exploring cutting-edge advancements in AI!
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(00:00) Introduction & Matt Panousis Background
(02:45) Origins of MARZ and LipDub
(04:20) LipDub vs. Competitors
(06:15) Integration with Dubbing Solutions
(08:00) LipDub Technical Process
(10:20) Competition
(12:20) Time and Cost
(14:00) Target Markets and Use… -
#223 Kai Beckmann: Why Next-Gen Chips Are Critical for AI's Future
4 december 2024 · 45 min
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Lees meer
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In this episode of the Eye on AI podcast, we explore the cutting-edge world of semiconductor innovation and its role in the future of artificial intelligence with Kai Beckmann, CEO of Merck KGaA.
Kai takes us on a journey into the heart of semiconductor manufacturing, revealing how next-generation chips are driving the AI revolution. From the complex process of creating advanced chips to the increasing demands of AI on semiconductor technology, Kai shares how Merck is pioneering materials science to unlock unprecedented levels of computational power.
Throughout the conversation, Kai explains how AI's growth is reshaping the semiconductor industry, with innovations like edge AI, heterogeneous integration, and 3D chip architectures pushing the boundaries of performance. He highlights how Merck is using artificial intelligence to accelerate material discovery, reduce experimentation cycles, and create smarter, more efficient processes for the chips that power everything from smartphones to data centers.
Kai also delves into the global landscape of semiconductor manufacturing, discussing the challenges of supply chains, the cyclical nature of the industry, and the rapid technological advancements needed to meet AI's demands. He explains why the semiconductor sector is entering the "Age of Materials," where breakthroughs in materials science are enabling the next wave of AI-driven devices.
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(00:00) Introduction
(02:48) Merck KGaA
(05:21) Foundations of Semiconductor Manufacturing
(07:57) How Chips …
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#222 Andrew Feldman: How Cerebras Systems Is Disrupting AI Inference
28 november 2024 · 42 min
This episode is sponsored by Shopify. Lees meer
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In this episode of the Eye on AI podcast, Andrew D. Feldman, Co-Founder and CEO of Cerebras Systems, unveils how Cerebras is disrupting AI inference and high-performance computing.
Andrew joins Craig Smith to discuss the groundbreaking wafer-scale engine, Cerebras' record-breaking inference speeds, and the future of AI in enterprise workflows. From designing the fastest inference platform to simplifying AI deployment with an API-driven cloud service, Cerebras is setting new standards in AI hardware innovation.
We explore the shift from GPUs to custom architectures, the rise of large language models like Llama and GPT, and how AI is driving enterprise transformation. Andrew also dives into the debate over open-source vs. proprietary models, AI's role in climate mitigation, and Cerebras' partnerships with global supercomputing centers and industry leaders.
Discover how Cerebras is shaping the future of AI inference and why speed and scalability are redefining what's possible in computing.
Don't miss this deep dive into AI's next frontier with Andrew Feldman.
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(00:00) Intro to Andrew Feldman & Cerebras Systems
(00:43) The rise of AI inference
(03:16) Cerebras' API-powered cloud
(04:48) Competing with NVIDIA's CUDA
(06:52) The rise of Llama and LLMs
(07:40) OpenAI's hardware strategy
(10:06) Shifting focus from training to infe…
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#221 Varun Mohan: The AI Tool That's Changing How Code is Written (Codeium)
26 november 2024 · 24 min
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In this episode of the Eye on AI podcast, Varun Mohan, Co-Founder and CEO of Codeium, shares the journey behind building one of the most innovative AI-powered coding tools available today.
Varun joins Craig Smith to explore the future of software development, the evolution of Codeium, and how generative AI is revolutionizing the way developers interact with codebases.
As a leader in AI and software engineering, Varun discusses how Codeium integrates advanced AI to enable real-time code completion, refactoring, and even end-to-end application building. From processing billions of lines of code to making complex legacy systems like COBOL more accessible, Codeium is empowering developers to work smarter and faster.
We delve into the challenges of managing massive codebases, the importance of maintaining security and self-hosted solutions, and how tools like Codeium stand apart from competitors like Copilot and CodeWhisperer. Varun also introduces **Cascade**, the AI assistant within Codeium's custom IDE, Windsurf, which merges human ingenuity with AI's reasoning capabilities for a seamless coding experience.
Other fascinating topics include the role of AI in onboarding developers to complex systems, its ability to handle rare programming languages, and how Codeium is reshaping the software lifecycle from design to deployment.
Learn how Codeium is redefining the possibilities of software development with AI, and what the future holds as this technology continues to evolve.
Don't miss this deep dive into AI-powered innovation with Varun Mohan. Like, subscribe, and hit the notification bell for more episodes exploring cutting-edge advancements in AI!
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#220 Terry Sejnowski: The Future of AI, ChatGPT & Deep Learning
22 november 2024 · 1 uur
This episode of Eye on AI is sponsored by Citrusx. Lees meer
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In this episode of the Eye on AI podcast, Terry Sejnowski, a pioneer in neural networks and computational neuroscience, joins Craig Smith to discuss the future of AI, the evolution of ChatGPT, and the challenges of understanding intelligence.
Terry, a key figure in the deep learning revolution, shares insights into how neural networks laid the foundation for modern AI, including ChatGPT's groundbreaking generative capabilities. From its ability to mimic human-like creativity to its limitations in true understanding, we explore what makes ChatGPT remarkable and what it still lacks compared to human cognition.
We also dive into fascinating topics like the debate over AI sentience, the concept of "hallucinations" in AI models, and how language models like ChatGPT act as mirrors reflecting user input rather than possessing intrinsic intelligence. Terry explains how understanding language and meaning in AI remains one of the field's greatest challenges.
Additionally, Terry shares his perspective on nature-inspired AI and what it will take to develop systems that go beyond prediction to exhibit true autonomy and decision-making.
Learn why AI models like ChatGPT are revolutionary yet incomplete, how generative AI might redefine creativity, and what the future holds for AI as we continue to push its boundaries.
Don't miss this deep dive into the fascinating world of AI with Terry Sejnowski. Like, subscribe, and hit the notification bell for more cutting-edge AI insights!
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(00:0…
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#219 Avthar Sewrathan: How to Build Smarter AI Applications with PostgreSQL
18 november 2024 · 51 min
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Lees meer
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In this episode of the Eye on AI podcast, Avthar Sewrathan, Lead Technical Product Marketing Manager at Timescale joins Craig Smith to explore how Postgres is transforming AI development with cutting-edge tools and open-source innovation.
With its robust, extensible framework, Postgres has become the go-to database for AI applications, from semantic search to retrieval-augmented generation (RAG). Avthar takes us through Timescale's journey from its IoT origins to disrupting the way developers handle vector search, embedding management, and high-performance AI workloads—all within Postgres.
We dive into Timescale's tools like PGVector, PGVector Scale, and PGAI Vectorizer, uncovering how they aid developers to build AI-powered systems without the complexity of managing multiple databases. Avthar explains how Postgres seamlessly handles structured and unstructured data, making it the perfect foundation for next-gen AI applications.
Learn how Postgres supports AI-driven use cases across industries like IoT, finance, and crypto, and why its open-source ecosystem is key to fostering collaboration and innovation.
Tune in to discover how Postgres is redefining AI databases, why Timescale's tools are a game-changer for developers, and what the future holds for AI innovation in the database space.
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(00:00) Introduction to Avthar and Timescale
(02:35) The origins of Timescale and TimescaleDB
(05:06) What makes Postgres unique and reliable
(07:17) Open-source philosophy at Timescale
(12:04) Timesca…
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#218 Jeff Boudier: The Future of Open Source AI Development (Hugging Face)
13 november 2024 · 50 min
This episode is sponsored by Oracle. Lees meer
Oracle Cloud Infrastructure, or OCI is a blazing fast and secure platform for your infrastructure, database, application development, plus all your AI and machine learning workloads. OCI costs 50% less for compute and 80% less for networking. So you're saving a pile of money. Thousands of businesses have already upgraded to OCI, including MGM Resorts, Specialized Bikes, and Fireworks AI.
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In this episode of the Eye on AI podcast, Jeff Boudier, Head of Product and Growth at Hugging Face, joins Craig Smith to uncover how the platform is empowering AI builders and driving the open-source AI revolution.
With a mission to democratize AI, Jeff walks us through Hugging Face's journey from a chatbot for teens to the leading platform hosting over 1 million public AI models, datasets, and applications. We explore how Hugging Face is bridging the gap between enterprises and open-source innovation, enabling developers to build cutting-edge AI solutions with transparency and collaboration.
Jeff dives deep into Hugging Face's tools and features, from hosting private and public models to fostering a thriving ecosystem of AI builders. He shares insights on the transformative impact of technologies like Transformers, transfer learning, and no-code solutions that make AI accessible to more creators than ever before.
We also discuss Hugging Face's latest innovation, 'Hugs,' designed to help enterprises seamlessly integrate open-source AI within their infrastructure while retaining full control over their data and models.
Tune in to discover how Hugging Face is shaping the future of AI development, why open-source models are catching up with proprietary ones, and what trends are driving innovation across AI disciplines.
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#217 Ben Goertzel: The Path to Artificial General Intelligence, Decentralized AI and AI Consciousness
7 november 2024 · 56 min
This episode is sponsored by Legal Zoom. Lees meer
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In this episode of the Eye on AI podcast, we dive into the world of Artificial General Intelligence (AGI) with Ben Goertzel, CEO of SingularityNET and a leading pioneer in AGI development.
Ben shares his vision for building machines that go beyond task-specific capabilities to achieve true, human-like intelligence. He explores how AGI could reshape society, from revolutionizing industries to redefining creativity, learning, and autonomous decision-making.
Throughout the conversation, Ben discusses his unique approach to AGI, which combines decentralized AI systems and blockchain technology to create open, scalable, and ethically aligned AI networks. He explains how his work with SingularityNET aims to democratize AI, making AGI development transparent and accessible while mitigating risks associated with centralized control.
Ben also delves into the philosophical and ethical questions surrounding AGI, offering insights into consciousness, the role of empathy, and the potential for building machines that not only think but also align with humanity's best values. He shares his thoughts on how decentralized AGI can avoid the narrow, profit-driven goals of traditional AI and instead evolve in ways that benefit society as a whole.
This episode offers a thought-provoking glimpse into the future of AGI, touching on the technical challenges, societal impact, and ethical considerations that come with creating truly intelligent machines.
Ben's perspective will leave you questioning not only what AGI can achieve, but also how we can guide it toward a positive future.
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#216 Nenshad Bardoliwalla: Inside Vertex AI - The Ultimate AI Toolkit by Google Cloud
30 oktober 2024 · 52 min
This episode of the Eye on AI podcast is sponsored by JLL. Lees meer
JLL's AI solutions are transforming the real estate landscape, accelerating growth, streamlining operations and unlocking hidden value in properties and portfolios. From predictive analytics to intelligent automation, JLL is creating smarter buildings, more efficient workplaces and sustainable cities.
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In this episode of the *Eye on AI* podcast, we explore the world of AI at Google Cloud with Nenshad Bardoliwalla, Director of Product Management for Vertex AI.
Nenshad unpacks the three core layers of Vertex AI: the Model Garden, where users can access and evaluate a diverse range of models; the Model Builder, which supports model fine-tuning and prompt optimization; and the Agent Builder, designed to develop AI agents that can perform complex, goal-oriented tasks.
He shares insights into model evaluation strategies, the role of Google's Tensor Processing Units (TPUs) in scaling AI infrastructure, and how enterprises can choose the right models based on performance, cost, and regulatory requirements.
Nenshad also delves into the challenges and opportunities of AI prompt optimization, highlighting Google's approach to ensuring consistent outputs across different models. He discusses the ethical considerations in AI design, emphasizing the need for human oversight and clear guardrails to maintain safety.
Whether you're in AI, tech, or curious about AI's potential impact, this episode is packed with insights on next-gen AI deployment.
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(00:00) Introduction to Nenshad Bardoliwalla & Vertex AI
(01:52) Overview of Vertex AI's Three Core Layers
(05:35) Nenshad's Journey to Google Cloud
(06:36) Choosing the Right AI Model
(08:00) Google's AI Infrastructure & Tensor P…
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#215 Manuel Haug: How Celonis Uses AI to Optimize Business Processes
23 oktober 2024 · 44 min
This episode of Eye on AI is sponsored by Citrusx. Lees meer
Navigating the complexities of AI risk management? Citrusx has you covered. Their innovative platform helps you make better business decisions and achieve reliable AI outcomes while staying compliant with regulatory standards. Citrusx enables you to manage AI risks effortlessly, connecting all stakeholders and providing continuous validation. Their solution can detect and mitigate vulnerabilities, biases, and errors, ensuring the accuracy, robustness, and compliance of AI models
Visit https://email.citrusx.ai/eyeonai to book your free demo today!
In this episode of the Eye on AI podcast, we dive into process intelligence with Manuel Haug, Field CTO at Celonis.
Manuel shares how process mining is transforming business operations by connecting directly to digital systems to map workflows, optimize processes, and boost efficiency. He explains how Celonis builds digital twins of business processes, allowing companies to visualize and resolve inefficiencies with data-driven insights.
Manuel also explores the role of AI in process optimization, discussing the integration of generative AI and AI agents in Celonis. From automating repetitive tasks to enabling strategic decision-making, Manuel details how AI agents can enhance workflows, reduce costs, and deliver measurable productivity gains across industries.
Tune in to learn how AI agents are evolving, the potential of process intelligence graphs, and how Celonis is pioneering the future of autonomous enterprises.
Whether you're in business, tech, or curious about the impact of AI, this episode offers valuable insights into next-gen process optimization.
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(00:00) Introduction to Manuel Haug & Celonis
(01:07) Understanding Proc…
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#214 Ece Kamar: Why AI Agents Are the Next Big Thing in Tech (Microsoft Research)
17 oktober 2024 · 1 uur 1 min
This episode is sponsored by RapidSOS. Close the safety gap and transform your emergency response with RapidSOS. Lees meer
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In this episode of the Eye on AI podcast, we dive deep into the world of AI agents with Ece Kamar, VP of Research and Managing Director of AI Frontiers Lab at Microsoft.
Ece shares her unique insights on the future of AI, discussing how AI agents are reshaping the way we interact with technology and perform tasks.
Throughout the episode, Ece explains the groundbreaking potential of AI agents, describing how they act as autonomous entities that can perceive, learn, and carry out complex tasks in real time. She discusses the revolutionary shift from traditional AI models to agentic workflows, highlighting how multi-agent systems like Microsoft's AutoGen are creating scalable solutions for industries and everyday life. Ece also shares her thoughts on building responsible AI, touching on the ethical challenges and safety concerns that come with the rise of autonomous agents.
We explore how multi-agent systems can scale to millions of agents, and how they are transforming enterprises by automating complex workflows, personalizing customer experiences, and pushing the boundaries of AI development. Ece's perspective on the future of AI in scientific discovery, as well as her work in responsible AI, offers a thought-provoking glimpse into what lies ahead.
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(00:00) Preview and Introduction
(03:11) What Are AI Agents?
(04:43) Building Responsible AI at Microsoft
(10:55) The Rise of Agentic Workflows
(12:30) Multi-Agent Systems and AutoGen
(18:04) Scaling Multi-Agent Systems
(20:22) The Cr…
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#213 Mark Surman: How Mozilla Is Shaping the Future of Open-Source AI
13 oktober 2024 · 47 min
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. Lees meer
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In this episode of the Eye on AI podcast, we sit down with Mark Surman, President of Mozilla, to explore the future of open-source AI and how Mozilla is leading the charge for privacy, transparency, and ethical technology.
Mark shares Mozilla's vision for AI, detailing the company's innovative approach to building trustworthy AI and the launch of Mozilla AI. He explains how Mozilla is working to make AI open, accessible, and secure for everyone—just as it did for the web with Firefox. We also dive into the growing importance of federated learning and AI governance, and how Mozilla Ventures is supporting groundbreaking companies like Flower AI.
Throughout the conversation, Mark discusses the critical need for open-source AI alternatives to proprietary models like OpenAI and Meta's LLaMA. He outlines the challenges with closed systems and highlights Mozilla's work in giving users the freedom to choose AI models directly in Firefox.
Mark provides a fascinating look into the future of AI and how open-source technologies can create trillions in economic value while maintaining privacy and inclusivity. He also sheds light on the global race for AI innovation, touching on developments from China and the impact of public AI funding.
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(00:00) Introduction to …
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#212 Thomas Dietterich: The Future of Machine Learning, Deep Learning and Computer Vision
9 oktober 2024 · 56 min
This episode is sponsored by Speechmatics. Check it out at www.speechmatics.com/realtime Lees meer
Today, we're joined by Dr. Thomas G. Dietterich, a pioneer in machine learning who recently was honored with the Award for Research Excellence from the International Joint Conference on Artificial Intelligence, one of the top awards for AI researchers.
Dietterich traces the field's progression from early rule-based systems to modern machine learning paradigms and delves into his work on novel category detection and open set problems. He also discusses the evolution of ensemble methods in the context of large language models (LLMs), highlighting the shift from combining many cheap models to more selective approaches with expensive models.
He advocates for a foundation model approach to capture the variability of the world.
Join us for a deep dive into the future of AI, where Thomas explains why the development of novel materials and drugs may have the most transformative impact on our economy. Plus, hear about his latest work on multi-instance learning, weak supervision, and the role of reinforcement learning in real-world applications like wildfire management.
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(00:00) Introduction to Thomas Dietterich's Machine Learning Journey
(02:34) The Early Days of Machine Learning and AI Systems
(04:29) Tackling the Multiple Instance Problem in Drug Design
(05:41) AI in Sustainability
(07:17) The Challenge of Novelty Detection in AI Systems
(08:00) Addressing the Open Set Problem in Cybersecurity and Computer Vision
(09:11) The Evolution of Deep Learning in Computer Vision
(11:21) How Deep Learning Handles Novel Representations
(12:01) Foundation Models and Self-Supervised Learning
(14:11) Vision Transformers vs. Convolut…
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#211 Stuart Hameroff: Why AI Will Never Fully Replicate Human Consciousness
7 oktober 2024 · 1 uur 16 min
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Lees meer
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In this episode of the Eye on AI podcast, we dive into the world of quantum consciousness with Stuart Hameroff, a pioneer in the field of consciousness studies and co-developer of the controversial Orch OR theory.
Stuart Hameroff takes us on a journey through the intersection of quantum mechanics and the human mind, explaining how microtubules within neurons could be the key to unlocking the mysteries of consciousness.
Stuart delves into his work with physicist Roger Penrose, where they propose that consciousness arises from quantum processes in the brain, deeply embedded in the fabric of spacetime itself. We explore how this theory challenges mainstream neuroscience, which often reduces the mind to simple neural activity, and instead suggests that consciousness may have a profound connection to the universe's underlying structure.
Throughout the conversation, Stuart addresses the debate over AI consciousness, asserting that true conscious experience cannot arise from mere computation but requires quantum processes. He shares insights on the latest experiments in anesthesia and quantum biology, offering a fresh perspective on how the brain might function on a deeper, quantum level.
Join us as we unpack the groundbreaking Orch OR theory and what it could mean for the future of science, technology, and our understanding of reality.
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(00:00) Preview
(03:26) Consciousness and Dualism vs. Materialism
(04:51) An…
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#210 Pedro Domingos: Exploring AI's Impact on Politics and Society
30 september 2024 · 57 min
This episode is sponsored by Bloomreach. Bloomreach is a cloud-based e-commerce experience platform and B2B service specializing in marketing automation, product discovery, and content management systems. Lees meer
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In this episode of the Eye on AI podcast, we sit down with Pedro Domingos, professor of computer science and author of The Master Algorithm and 2040, to dive deep into the future of artificial intelligence, machine learning, and AI governance.
Pedro shares his expertise in AI, offering a unique perspective on the real dangers and potential of AI, far from the apocalyptic fears of superintelligence taking over. We explore his satirical novel, 2040, where an AI candidate for president—Prezibot—raises questions about control, democracy, and the flaws in both AI systems and human decision-makers.
Throughout the episode, Pedro sheds light on Silicon Valley's utopian dreams clashing with its dystopian realities, highlighting the contrast between tech innovation and societal challenges like homelessness. He discusses how AI has already integrated into our daily lives, from recommendation systems to decision-making tools, and what this means for the future.
We also unpack the ongoing debate around AI safety, the limits of current AI models like ChatGPT, and why he believes AI is more of a tool to amplify human intelligence rather than an existential threat. Pedro offers his insights into the future of AI development, focusing on how symbolic AI and neural networks could pave the way for more reliable and intelligent systems.
Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest insights into AI, machine learning, and tech culture.
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(00:0…
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#209 Bill Moore: How BCG Created a Conversational AI Co-Host (Inside the Development of GENE)
25 september 2024 · 40 min
In this episode of the Eye on AI podcast, Craig Smith sits down with Bill Moore BCGX to explore the development of Gene, an AI-powered co-host transforming the way we engage with conversational AI. Lees meer
Bill walks us through the journey of creating Gene, a real-time conversational agent built to interact seamlessly with human hosts. He shares insights into the technical challenges they faced, from improving latency to expanding context windows, and how Speechmatics' cutting-edge speech-to-text technology helped achieve over 90% accuracy in real-time.
We dive deep into the ethics of AI, particularly gender representation, as the conversation touches on why assigning gender to AI assistants can reinforce outdated stereotypes. Gene, as a gender-neutral conversational AI, challenges these norms, providing a clear distinction between human-like interaction and AI-driven dialogue.
Join us for an in-depth discussion on the future of AI in media, the balance between human creativity and AI's analytical power, and the ethical considerations every company should be mindful of when integrating AI into their operations.
Don't forget to like, subscribe, and hit the notification bell for more deep dives into AI innovation, ethics, and the future of conversational agents!
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(00:00) Introduction to Gene: BCG's Conversational AI
(02:19) Bill Moore's Background
(04:22) Early Challenges in Building Real-Time AI
(07:20) Technical Aspects: Prompting and Configuring Gene
(09:28) The Use of Vector Databases and Sparse Priming
(12:01) How Gene Handles Long Conversations
(14:46) Building Conversational AI
(19:07) Gene Introduces Itself: AI as a Podcast Co-Host
(22:00) The Ethics of AI
(29:35) Should AI Have a Physical Representation?
(32:05) AI and Children: Nurturing Healthy Interactions
(36:16) Adoption of Conversational AI in Businesses
(38:11) Ethical Considerat…
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#208 Michael Martin: How AI is Saving Lives Every Day (Inside RapidSOS's Groundbreaking Tech)
18 september 2024 · 54 min
This episode is sponsored by Shopify. Lees meer
Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you're selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons.
Sign up for a $1 per month trial period at http://shopify.com/eyeonai
In this episode of the Eye on AI podcast, Craig Smith sits down with Michael Martin, CEO of RapidSOS, to explore how AI and connected devices are aiding emergency response and public safety.
With billions of sensor feeds from over 540 million devices—including wearables, vehicles, and security systems—RapidSOS integrates life-saving data to provide real-time support for 911 and first responders across the U.S. and beyond. Michael shares how their platform is reducing response times, improving accuracy, and transforming the way emergencies are handled by public safety agencies.
We dive deep into RapidSOS's AI-powered platform, which fuses human and machine intelligence to deliver faster, more effective emergency responses. Michael also discusses the challenges of scaling such technology globally, the role of AI in predictive emergency management, and the importance of integrating these solutions into legacy systems used by first responders.
Whether it's saving lives through faster 911 responses, preventing emergencies before they happen, or leveraging AI to enhance public safety, this episode offers a compelling look at the future of emergency services. Join us to uncover how technology is reshaping public safety and emergency response on a global scale.
Don't forget to like, subscribe, and hit the notification bell for more cutting-edge discussions on AI, emergency services, and technology innovation!
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#207 Noa Srebrnik: How to Mitigate AI Risk in High-Stakes Industries
16 september 2024 · 47 min
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. Lees meer
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
In this episode of the Eye on AI podcast, Craig Smith sits down with Noa Srebrnik from Citrusx to explore how AI is transforming risk management and compliance in high-risk industries like finance and insurance.
With a background spanning regulation, risk, and technology, Noa guides us through Citrusx's innovative approach to enabling organizations to leverage AI responsibly while adhering to complex regulatory environments.
We dive deep into Citrusx's AI platform, designed to validate, monitor, and explain AI models, ensuring transparency, fairness, and compliance. Noa explains how their proprietary synthetic data technology identifies hidden risks, allowing companies to confidently scale AI solutions across different use cases without compromising governance.
We also discuss the evolving regulatory landscape, including the challenges of navigating fragmented AI regulations in the U.S. and the EU AI Act's influence on high-risk sectors.
Join us as we uncover how AI can drive innovation while maintaining regulatory accountability and why risk management is crucial for the future of AI in finance and beyond.
Don't forget to like, subscribe, and hit the notification bell for more in-depth discussions on AI, regulation, and risk management!
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#206 Krishna Rangasayee: Why Edge AI is the Next Big Thing in Tech
5 september 2024 · 50 min
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Lees meer
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
In this episode of the Eye on AI podcast, Craig Smith sits down with Krishna Rangasayee, CEO of SiMa.ai, to explore the innovations in AI at the edge and how embedded systems are transforming industries like robotics, automotive, and industrial automation.
Krishna brings over 30 years of experience in software and silicon design, leading us through SiMa.ai's vision of disrupting edge computing with their Machine Learning System on Chip (MLSoC).
We dive deep into how SiMa.ai's chips are designed to accelerate AI workloads at the edge, providing unmatched performance and efficiency compared to cloud-based solutions.
We also discuss the future of AI hardware, including the role of open-source platforms, the challenges of scaling AI in embedded systems, and why the edge market is poised to outgrow the cloud in the coming years.
Krishna shares his insights on the importance of AI software architecture, how SiMa.ai's platform simplifies integration for developers, and the emerging potential of neuromorphic and quantum computing.
Join us as we delve into the next big AI gold rush, the edge market, and learn why AI-powered edge devices will reshape the way industries operate.
Don't forget to like, subscribe, and hit the notification bell for more exclusive insights into the future of AI and edge computing!
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(00:00) Preview and Introduction
(02:13) SiMa.ai's Focus on Chip Design for the Edge
(05:38) How is SiMa.ai Different from NVIDIA's CUDA?
(08:29) The Evolution of Chip Architecture
(11:50) AI's Move to the Edge Market?
(19:19) Industries Driving Demand for SiMa.ai's Techno…
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#205 Randall Degges: The Biggest Risks of AI-Generated Code (What Developers Need to Know!)
28 augustus 2024 · 54 min
This episode is sponsored by Bloomreach. Lees meer
Bloomreach is a cloud-based e-commerce experience platform and B2B service specializing in marketing automation, product discovery, and content management systems.
Check out Bloomreach: https://www.bloomreach.com
Explore Loomi AI: https://www.bloomreach.com/en/products/loomi
Other Bloomreach products: https://www.bloomreach.com/en/products
In this episode of the Eye on AI podcast, we sit down with Randall Degges, Head of Developer Relations and Security at Snyk, to uncover the impact of AI on cybersecurity and software development.
Randall shares his 20+ years of experience as a software developer and security expert, leading us through Snyk's innovative approach to developer security. We dive into how Snyk is changing vulnerability detection and code generation by leveraging a hybrid AI model—combining symbolic AI for accurate detection and generative AI for smart fixes.
We explore the challenges and opportunities of using AI in code security, discussing whether AI-generated code can ever fully replace human coders or if it's best suited as a powerful tool in a developer's arsenal. Randall also addresses the risks of AI hallucinations in code generation and how Snyk mitigates these through rigorous testing and validation.
Join us as we discuss the future of coding, the role of AI in software development, and how developers can stay ahead in this rapidly evolving landscape.
Don't forget to like, subscribe, and hit the notification bell for more expert insights into the latest AI and cybersecurity trends.
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(00:00) Preview and Intro
(00:34) Randall Degges Background
(01:33) The Role of AI in Security at Snyk
(03:28) Symbolic vs. Generative AI in Code Security
(04:57) How Snyk Uses Rule-Based AI for Detection
(06:48) Challenges with AI-Generated Code Fixes
(09:08) The Future of AI in Code Generation…
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#204 Peter Guagenti: How AI Will Change the Way Developers Work (Tabnine's Vision Explained)
21 augustus 2024 · 56 min
In this episode of the Eye on AI podcast, we sit down with Peter Guagenti, President and Chief Marketing Officer at Tabnine, to explore the role of AI in software development. Lees meer
Peter takes us through his journey from web developer and engineering lead to leading Tabnine, a pioneer of AI code assistance.
We delve into the innovative ways Tabnine is pushing the boundaries of AI, from enhancing code generation to ensuring privacy with its Protected Model—offering enterprises fully private AI solutions tailored to their specific needs. Peter discusses how Tabnine is addressing the challenges of fit-to-purpose AI, making AI tools more context-aware and personalized to the workflows of individual engineering teams.
Peter also sheds light on the future of AI in software development, addressing the pressing question: Can AI truly replace developers, or is it destined to be a powerful collaborator?
Learn how AI can elevate software engineering teams, helping them overcome the repetitive tasks that slow down progress and focus on the creative aspects that push the industry forward.
Don't forget to like, subscribe, and hit the notification bell for more in-depth conversations on the latest AI advancements.
This episode of Eye on AI is sponsored by BetterHelp.
If you're thinking of starting therapy, give BetterHelp a try. It's entirely online. Designed to be convenient, flexible, and suited to your schedule. Just fill out a brief questionnaire to get matched with a licensed therapist, and switch therapists any time for no additional charge.
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Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
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(00:00) Preview and Introduction
(00:38) Peter Guagenti's Background
(01:20) Tabnine's Origins
(03:49) Innovating in AI Code Assistance
(05:10) The Path to Autonomous Code Generation
(07:49) Human Oversight in Autonomous AI
(10:17) Mi…
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#203 Xun Wang: How Bloomreach is Shaping the Future of AI-Powered E-Commerce
14 augustus 2024 · 57 min
Check our BloomReach: https://www.bloomreach.com Lees meer
Explore Loomi AI: https://www.bloomreach.com/en/products/loomi
Other BloomReach products: https://www.bloomreach.com/en/products
In this episode of the Eye on AI podcast, we sit down with Xun Wang, Chief Technology Officer at Bloomreach, to explore the power of AI in the world of e-commerce.
Xun takes us on a journey through his career, from his early days at NVIDIA, where he played a pivotal role in the evolution of parallel computing and GPU technology, to his current leadership at Bloomreach, a company at the forefront of AI-driven commerce solutions.
He shares how Bloomreach is disrupting the e-commerce landscape with its AI-powered platform, helping brands and retailers enhance customer experiences through personalized search and recommendations.
We dive deep into the technical side of Bloomreach's AI services, including Loomi AI, which integrates various AI capabilities such as search, recommendations, and segmentation. Xun explains how these services work together to deliver highly personalized shopping experiences that boost engagement and conversion rates.
Xun sheds light on the company's innovative use of generative AI and large language models to improve search relevance and personalization, offering listeners a glimpse into the future of e-commerce.
Tune in to discover how Bloomreach is leveraging cutting-edge AI technologies like two-tower neural networks and their Customer Data Engine (CDE) to redefine the online shopping experience.
Join us as we explore the intersection of AI and commerce, and learn how Bloomreach is setting new standards for personalized online experiences.
Don't forget to like, subscribe, and hit the notification bell for more deep dives into the latest AI innovations.
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.
NetSuite is offering a one-of-a-kind flexible…
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#202 Raphael Townshend: How AI and RNA Tech is Transforming Drug Discovery (Inside Atomic AI)
7 augustus 2024 · 59 min
In this episode of the Eye on AI podcast, we explore the cutting-edge intersection of AI and biotechnology with Raphael Townshend, founder and CEO of Atomic AI. Lees meer
Raphael delves into the revolutionary potential of AI in RNA drug discovery, highlighting Atomic AI's innovative approach. He shares his journey from studying electrical engineering and computer science at UC Berkeley to developing advanced AI models for understanding RNA structures, analogous to DeepMind's AlphaFold for proteins.
We dive deep into the intricacies of RNA's role in the human genome and its untapped potential in treating diseases previously considered undruggable. Raphael explains how Atomic AI's core model, Atom 1, is designed to predict RNA shapes with unprecedented accuracy, enabling the design of new drugs that target RNA instead of proteins. He discusses the significance of RNA in the context of mRNA vaccines, particularly the COVID-19 vaccine, and the challenges of making these vaccines more stable and accessible.
The conversation also covers the technical aspects of using AI, including transformer-based models and in-house data generation, to enhance RNA drug discovery. Raphael shares insights into the company's progress, from cell testing to upcoming animal trials, and the broader implications of integrating AI in biotechnology.
Join us as we uncover the future of RNA-based therapies, the innovative use of AI in drug discovery, and the groundbreaking advancements that could transform the landscape of medicine. Don't forget to like, subscribe, and hit the notification bell for more expert insights into the latest AI innovations.
This episode is sponsored by SysAid, the Next-gen ITSM Platform.
Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig
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#201 Danny Halawi: The Science Behind AI Predictions - Accuracy, Challenges, and Innovations
5 augustus 2024 · 55 min
In this episode of the Eye on AI podcast, we dive into the world of AI forecasting with Danny Halawi, a PhD student at UC Berkeley. Lees meer
Danny shares his groundbreaking research on using large language models (LLMs) to predict future events with accuracy, rivaling human forecasters and prediction markets.
Danny recounts his journey from studying computer security and fraud detection to exploring the potential of AI in forecasting geopolitical events and beyond. He introduces us to the sophisticated architecture of his AI system, which leverages real-time data from prediction markets and advanced machine learning techniques to generate reliable forecasts.
We explore the complexities of judgmental forecasting versus time series forecasting and how AI can enhance decision-making in various fields. Danny discusses the challenges of training AI models for high-stakes predictions, the role of super forecasters, and the fascinating dynamics of prediction markets. He also sheds light on the ethical considerations and future possibilities of integrating AI into our decision-making processes.
Join us as we delve into the future of AI forecasting, the potential of superhuman predictions, and the exciting developments that could reshape our understanding of the future. Don't forget to like, subscribe, and hit the notification bell for more expert insights into the latest AI innovations.
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduc…
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#200 Trevor Back: How Speechmatics is Shaping the Future of Conversational AI
1 augustus 2024 · 56 min
In this episode of the Eye on AI podcast, we explore the forefront of voice-powered AI technology with Trevor Back, Chief Product Officer at Speechmatics. Discover how Speechmatics is pushing the boundaries of speech recognition and conversational AI with their latest innovation, Flow. Lees meer
Trevor shares his journey from a background in computational astrophysics to becoming a key figure in AI at DeepMind and now Speechmatics. He delves into the development and potential of Flow, a groundbreaking tool combining automatic speech recognition (ASR), large language models (LLMs), and text-to-speech synthesis, aimed at creating seamless and responsive voice interactions.
We explore the wide-ranging applications of Speechmatics' technology across industries, including media, call centers, and education. Trevor discusses the challenges of achieving high accuracy in speech recognition, especially in diverse and noisy environments, and how Speechmatics addresses these challenges with their unique approach to training models.
Listen in as we uncover the intricacies of handling multiple languages, improving diarization, and the future goals of understanding complex audio cues like emotion and sarcasm. Learn about the company's vision for integrating voice technology into everyday products, making technology more accessible and user-friendly.
Don't miss this insightful conversation on the future of voice technology, AI in business, and its role in the evolving landscape of AI. Like, subscribe, and hit the notification bell for more expert discussions on cutting-edge advancements in AI.
This episode is sponsored by Shopify.
Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you're selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons.
Sign up …
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#199 Shub Bhowmick: How Gen AI is Transforming Modern Data Science and Management
25 juli 2024 · 52 min
In this episode of the Eye on AI podcast, we delve into the power of AI in business and data science and data management with Shub Bhowmick, CEO and co-founder of Tredence. Lees meer
Explore how Tredence is revolutionizing industries by integrating AI and data science to drive business outcomes. Shub shares his journey from management consulting to leading a team of 2,500 data scientists and engineers. Learn how Tredence is supercharging Fortune 200 clients across retail, consumer packaged goods (CPG), financial services, healthcare, and more, with custom AI solutions.
We dive deep into the challenges and opportunities in leveraging AI, particularly in the CPG sector, and how Tredence addresses data silos, enhances data quality, and implements real-time data processing. Shub also discusses the implementation of generative AI, detailing the company's journey from foundational models to enterprise adoption and responsible AI practices.
Discover Tredence's Gen AI as a service platform, designed to help enterprises navigate the complexities of AI integration, optimize infrastructure, and unlock business value through innovative AI solutions. Shub highlights real-world applications of AI, such as demand forecasting and predictive analytics, demonstrating how these technologies can significantly reduce costs and improve efficiency.
Gain insights into Tredence's growth strategy, including their expansion into new verticals, service lines, and geographies. Shub emphasizes the importance of a multidisciplinary approach, combining domain expertise with cutting-edge technology to deliver customized, impactful AI solutions.
Don't miss out on this insightful conversation. Like, subscribe, and hit the notification bell for more expert discussions on the technologies driving the AI revolution
This episode of Eye on AI is sponsored by BetterHelp.
If you're thinking of starting therapy, give BetterHelp a try. It's entirely online. Designed to be convenient, flexible, and suited to you…
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#198 Sethuraman Panchanathan: How The U.S. National Science Foundation is Shaping the Future of AI
17 juli 2024 · 53 min
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. Lees meer
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
In this episode of the Eye on AI podcast, join us as we sit down with Dr. Sethuraman Panchanathan, Director of the National Science Foundation (NSF), where we explore the impact of AI on research and innovation.
Dr. Panchanathan delves into his journey from PhD student in machine learning to leading one of the most pivotal science organizations in the world. With a background in vector quantization and neural networks, his extensive experience positions him at the forefront of AI advancements.
Discover how the NSF is revolutionizing AI through strategic investments and initiatives like the AI Institutes and the National AI Research Resource (NAIR). Dr. Panchanathan explains how these programs democratize access to cutting-edge computational resources, fostering innovation across diverse regions and disciplines.
Learn about NSF's $828 million investment in AI for 2023 and the agency's unique approach to allocating funds across various scientific domains. Dr. Panchanathan shares insights on the importance of partnerships with industries, educational institutions, and international bodies, emphasizing the need for a collaborative ecosystem to drive AI progress.
He also touches on the role of AI in addressing societal challenges and the ethical considerations in AI development.
Tune in to understand how NSF is leading the charge in AI research and development, ensuring the US remains at the cutting edge of technological innovation.
Don't forget to like, subscribe, and hit the notification bell for more deep dives i…
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#197: AI, Fusion, and National Security with Lawrence Livermore's Brian Spears
13 juli 2024 · 57 min
This episode is sponsored by SysAid. Lees meer
Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig
In this episode of the Eye on AI podcast, join us as we delve into the cutting-edge world of AI and high-performance computing with Brian Spears, Director of the AI Innovation Incubator at Lawrence Livermore National Laboratory.
Brian shares his experience in driving AI into national security science and managing the nation's nuclear stockpile. With a PhD in mechanical engineering, his expertise spans nonlinear dynamical systems and high-dimensional topology, making him uniquely positioned to lead groundbreaking projects in fusion ignition and AI integration.
Discover how Lawrence Livermore National Laboratory achieved fusion ignition for the first time, harnessing the power of AI to elevate simulation models with precise experimental data. Brian explains how this approach is paving the way for commercially viable fusion energy and advancing stockpile stewardship.
Explore the relationship between high-performance computing and AI as Brian discusses the Department of Energy's FAST initiative. Brian also touches on the importance of public-private partnerships, ethical considerations in AI development, and the future potential of quantum computing.
Tune in to understand how the US is leading the global race in AI and computing technology, setting the stage for unprecedented advancements in science and security.
Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
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(00:00) Preview
(01:52) Introducing Brian Spears
(03:14) Fusion Ignition and AI Integration
(06:00) Predictive Models and Experimental Data
(08:05) Challenges in Fusion Energy
(12:03) Inertial Confinement Fusion Explained
(14…
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#196 Avi Kedmi: How SysAid Uses AI to Redefine IT Service Management
5 juli 2024 · 56 min
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Lees meer
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
In this episode of the Eye on AI podcast, join us as we sit down with Avi Kedmi, CEO of SysAid, to explore the transformative power of AI in IT service management.
Avi shares his journey from the high-tech industry to leading SysAid, a pioneer in IT service management solutions. With over 20 years of experience, Avi discusses how SysAid is leveraging AI to revolutionize service management through predictive modeling and generative AI.
Discover how SysAid's AI-driven solutions reduce ticket volumes and enhance customer satisfaction by automating IT services. Avi provides an inside look at SysAid's AI Co-Pilot, a comprehensive AI suite designed to optimize IT service delivery and support.
Explore the unique features of SysAid's platform, including its ease of use, no-code interface, and seamless integration with existing IT systems. Avi explains how SysAid's AI capabilities enable real-time data processing and decision-making, improving efficiency and response times.
Learn about the future of AI in IT service management, as Avi delves into the potential for AI-driven automation and the development of smarter IT solutions. He also highlights SysAid's strategic approach to staying competitive in a rapidly evolving industry.
Tune in to understand how SysAid is setting new standards in AI-powered IT service management and what this means for the future of IT support.
Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.
Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig
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#195 Mrinal Manohar: Building Secure AI Systems with Blockchain
30 juni 2024 · 1 uur
This episode is sponsored by TrialKey.ai, the market leader AI-driven clinical trial design optimization, and predictor that improves trial design and execution. With over 90% accuracy based on precision/recall, TrialKey.ai predicts the success of clinical trials more precisely than any other tool on the market. Lees meer
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In this episode of the Eye on AI podcast, join us as we sit down with Mrinal Manohar, CEO of Casper Labs, to explore the intersection of blockchain technology and AI governance.
Mrinal delves into his journey from Wall Street to founding Casper Labs, a leading enterprise-grade blockchain infrastructure company. With a strong background in computer science and experience in AI governance, Mrinal shares how Casper Labs is setting new standards in AI compliance and security.
Discover how Casper Labs uses blockchain to create tamper-proof, auditable records, ensuring the integrity and security of AI systems. Mrinal explains the innovative use of blockchain for multi-party access and version control, highlighting the company's collaboration with IBM to develop cutting-edge solutions integrated into the Watson X platform.
Explore the implications of upcoming AI legislation, such as the EU AI Act, and how Casper Labs is helping enterprises navigate these regulatory changes. Mrinal provides insights into the challenges and opportunities in AI governance, discussing real-world use cases and the future of secure AI systems.
Learn how Casper Labs is positioning itself ahead of the curve, with technical differentiators and strategic partnerships that set it apart in the industry.
Tune in to understand how Casper Labs is transforming AI compliance and security with blockchain, and what this means for the future of AI.
Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.
Che…
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#194 Russell Palmer: How AI is Taking Over Hollywood and Changing Filmmaking Forever
26 juni 2024 · 48 min
This episode of Eye on AI is sponsored by BetterHelp. Lees meer
If you're thinking of starting therapy, give BetterHelp a try. It's entirely online. Designed to be convenient, flexible, and suited to your schedule. Just fill out a brief questionnaire to get matched with a licensed therapist, and switch therapists any time for no additional charge.
Visit https://www.betterhelp.com/eyeonai today to get 10% off your first month.
In this episode of the Eye on AI podcast, join host Craig Smith as he engages with Russell Palmer, CEO & Co-Founder at CyberFilm AI.
Russell delves into the transformative journey of integrating AI with storytelling, emphasizing the role of strong narratives in creating impactful AI films. He shares his extensive background, from his early days at Microsoft and JP Morgan to co-founding a startup with his brother that pioneers AI tools for the film industry.
Explore how their innovative app supports writers and filmmakers by offering structured templates, AI-generated plot ideas, character arcs, and storyboards. Discover the startup's mission to democratize filmmaking, making high-quality tools accessible to film students, hobbyists, and professionals alike.
Russell discusses the future of AI in filmmaking, highlighting the potential for AI to enhance creativity, support diverse storytelling, and bridge the gap between aspiring creators and Hollywood-level productions. Learn about their plans to expand features, including video generation and script analysis, while maintaining ethical AI use and respecting intellectual property.
Join us for an insightful conversation on how AI is shaping the future of storytelling and filmmaking, and gain valuable perspectives on navigating this evolving landscape.
Tune in to learn how AI can empower you to create compelling stories and films.
Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies.
Check out CyberFilms' Latest Product:
Website: https://writeon…
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#193 Itamar Friedman: How CodiumAI is Making Bug-Free Code a Reality
13 juni 2024 · 54 min
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Lees meer
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
In this episode of the Eye on AI podcast, join host Craig Smith as he sits down with Itamar Friedman, co-founder and CEO of CodiumAI, a pioneering company in the realm of intelligent coding systems.
Itamar shares the ambitious vision of CodiumAI, where developers can aim for zero bugs and issues in their code. Dive into the innovative solutions CodiumAI offers, including Codiumate and PR Agent, tools designed to assist developers in planning, writing, analyzing, and reviewing code with high integrity.
Explore the concept of flow engineering and how CodiumAI's research project, AlphaCodium, outperforms DeepMind's AlphaCode by using fewer LLM calls and no fine-tuning.
Itamar delves into the future of coding, where AI not only generates code but ensures its quality through robust verification systems.Itamar offers valuable advice for both developers and enterprises on navigating the evolving landscape of AI in software development.
Tune in to gain insights into how CodiumAI is leading the way in creating a future where coding is more efficient, reliable, and free from bugs.
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