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#290 Joel Hron: How Thomson Reuters is Approaching The Next Era of AI
29 september 2025 · 1 uur
This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
Joel Hron, Chief Technology Officer at Thomson Reuters, joins Eye on AI to unpack the future of agentic systems and what it takes to build them responsibly at enterprise scale.
We dive into the shift from prompt-based AI to true agentic workflows capable of planning, reasoning, and executing complex tasks. Joel breaks down how Thomson Reuters is deploying generative AI across law, tax, risk, and compliance, while keeping human experts in the loop to ensure trust and accuracy in high-stakes domains.
Topics include:
- What separates agentic AI from simple prompt-based tools
- How "agency dials" (autonomy, tools, memory) change system behavior
- Infrastructure and architecture required for multi-agent collaboration
- Why human verification and user experience design are essential for trust
- The future of coding, engineering skills, and AI adoption inside enterprisesIf you want to understand how a 170-year-old company is reinventing itself with AI — and what's next for agentic systems in business and knowledge work — this conversation is a must-listen.
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Eye on A.I. on X: https://x.com/EyeOn_AI -
#289 Eiso Kant: How Reinforcement Learning and Coding Could Unlock Human-Level AI
24 september 2025 · 54 min
How do we get from today's AI copilots to true human-level intelligence? In this episode of Eye on AI, Craig Smith sits down with Eiso Kant, Co-Founder of Poolside, to explore why reinforcement learning + software development might be the fastest path to human-level AI. Lees meer
Eiso shares Poolside's mission to build AI that doesn't just autocomplete code — but learns like a real developer. You'll hear how Poolside uses reinforcement learning from code execution (RLCF), why software development is the perfect training ground for intelligence, and how agentic AI systems are about to transform the way we build and ship software.
If you want to understand the future of AI, software engineering, and AGI, this conversation is packed with insights you won't want to miss.
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Craig Smith on X:https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) The Missing Ingredient for Human-Level AI
(01:02) Eiso Kant's Journey
(05:30) Using Software Development to Reach AGI
(07:48) Why Coding Is the Perfect Training Ground for Intelligence
(10:11) Reinforcement Learning from Code Execution (RLCF) Explained
(13:14) How Poolside Builds and Trains Its Foundation Models
(17:35) The Rise of Agentic AI
(21:08) Making Software Creation Accessible to Everyone
(26:03) Overcoming Model Limitations
(32:08) Training Models to Think
(37:24) Building the Future of AI Agents
(42:11) Poolside's Full-Stack Approach to AI Deployment
(46:28) Enterprise Partnerships, Security & Customization Behind the Firewall
(50:48) Giving Enterprises Transparency to Drive Adoption -
#288 Florian Douetteau: How Enterprises Can Scale and Adopt Agentic AI
21 september 2025 · 55 min
Discover how enterprises can successfully adopt and scale agentic AI to create real business impact in this conversation with Florian Douetteau, CEO and co-founder of Dataiku. Lees meer
Florian shares why democratizing AI across the enterprise is essential, how to prevent agent sprawl, and what it takes to build a governance framework that keeps your data secure while enabling innovation. Learn about Dataiku's enterprise AI blueprint, its partnership with NVIDIA, and how global companies are using agentic workflows to accelerate R&D, optimize operations, and stay competitive.
If you're a business leader, CTO, or data professional looking to scale AI safely and effectively, this episode is your playbook for the future of enterprise AI.
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Craig Smith on X: https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI00:00 Intro
00:31 Florian's Background & Dataiku's Founding
03:00 Enterprise Blueprint for AI with NVIDIA
05:13 Unique Needs of Financial Services
07:09 Building Agents on Dataiku
09:22 Permissioning & Governance
11:17 Agent Lifecycle Management
13:20 State of Agent-to-Agent Systems
15:02 Real-World Use Cases of Agents
16:28 The Most Complex Agents in Production
19:01 Future Vision: Headless Organizations
21:04 Human-Like Qualities of Agents
24:56 The LLM Mesh & Model Abstraction
28:55 Guardrails & Compliance
31:12 No-Code + Code-Friendly Collaboration
36:12 Breaking Silos & Centers of Excellence
41:36 Distribution & Seat Allocation
43:34 Most Common Agents by Industry
47:02 The State of Enterprise AI Adoption -
#287 Sahil Bansal: Why Developers Are Switching to CodeRabbit's AI Code Reviews
17 september 2025 · 48 min
Try OCI for free at http://oracle.com/eyeonai Lees meer
This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking.
Join Modal, Skydance Animation, and today's innovative AI tech companies who upgraded to OCI…and saved.
AI-generated code is exploding, but reviewing it all has become the new bottleneck for engineering teams. In this episode, Sahil Bansil from CodeRabbit reveals how their AI-powered platform is transforming the code review process, helping developers ship faster without compromising quality. He explains how CodeRabbit uses advanced LLM context engineering to deliver senior-level review quality, reduce pull request merge times by up to 50%, and catch more bugs before they reach production.
Whether you're a developer, engineering manager, or CTO, this conversation shows why automated code review is essential in the AI era and how CodeRabbit can help your team scale software delivery while keeping quality high.
Cut Code Review Time & Bugs in Half. Instantly with CodeRabbit: https://www.coderabbit.ai/
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Craig Smith on X:https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) LLMs & Why Context Matters
(02:26) Meet Sahil Bansil from CodeRabbit
(04:04) AI Code Boom & The Review Bottleneck
(06:05) Why CodeRabbit Focused on Reviews, Not Generation
(09:55) Keeping Humans in the Loop for Code Quality
(14:30) IDE Reviews vs PR Governance
(17:51) Inside CodeRabbit's Context Engineering
(20:42) Building Context from Code Graphs & Jira Tickets
(22:15) Eliminating AI Hallucinations with Verification
(27:19) Empowering Junior Developers & Legacy Code Support
(32:40) CodeRabbit's Open Source & Enterprise Success Stories
(36:56) Cutting Review Times & PR Merge Delays
(44:35) Scaling CodeRabbit & The Growing Market -
#286 Ram Venkatesh: How to Build, Operate & Scale Enterprise AI Agents (Sema4.ai)
14 september 2025 · 47 min
Discover how Sema4.ai is redefining enterprise AI with a platform built to help businesses build, operate, and scale SAFE AI agents. Lees meer
In this conversation, CTO and co-founder Ram Venkatesh explains why simply generating insights isn't enough and why enterprises need AI that can act on those insights reliably, securely, and at scale.
If you want to understand the future of agentic AI and how to safely scale AI across your organization, this episode is a must-watch.
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Craig Smith on X: https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) The Data-to-Action Gap
(00:38) Ram's Big Data Background
(03:22) Why RPA Failed & Agents Win
(04:39) Conversational Agents vs Manual Workflows
(06:28) The Power of a Semantic Layer
(08:20) Runbooks: Capturing Intent, Not Just Steps
(11:16) Connecting Data Across Systems
(15:12) How Sema4.ai Keeps AI Secure
(17:37) From 20 to 2,000 Agents: Scaling the Fleet
(20:20) Choosing the Right Agent Platform
(26:22) Process Architects: The New Role in AI
(29:00) Why Finance & Healthcare Lead in Adoption
(30:04) Sema4.ai's Pricing & Adoption Playbook
(41:29) Scaling Faster with Snowflake Deployment
(43:10) ISVs & Domain Experts as Agent Builders -
#285 Raj Koneru: How Kore.ai is Building No Code Enterprise-Grade Agentic AI
10 september 2025 · 52 min
Enterprise AI Agents for Work, Service and Process: www.kore.ai Lees meer
Kore.ai founder and CEO Raj Koneru breaks down how enterprises are moving beyond chatbots into agentic AI that actually ships.
We get into the no-code tooling behind multi-agent workflows, agentic RAG, guardrails that keep outputs in scope, and why a control layer for governance is now essential. Raj shares real scale numbers, the three Kore.ai product lanes for customer and employee experience, and how partnerships with Microsoft and AWS let teams build where they already run.
If you care about building secure, explainable AI agents that integrate fast and scale cleanly, this one is for you.
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Eye on A.I. on X: https://x.com/EyeOn_AI
(00:00) Raj Koneru's Journey & The Birth of Kore.ai
(03:10) From Chatbots to Enterprise-Grade Agents
(06:33) Security, Scale & Proof in the Market
(07:04) What Agentic AI Really Means
(12:16) Building & Governing AI Agents
(17:26) Kore.ai's Product Lines & Differentiation
(20:22) Industry Applications & Case Studies
(28:17) User Experience & Change Management
(34:46) Governance, Identity & Cost Controls
(39:56) Adoption Timelines & Market Outlook
(43:51) Roadmap & Partnerships
(47:38) Future of the Enterprise AI Landscape -
#284 Pat Utz: Inside Abstract, The AI That Decodes Laws and Regulations
7 september 2025 · 48 min
What if AI could decode government in real time? Lees meer
In this episode of Eye on AI, Craig Smith sits down with Pat Utz, CEO and Co-Founder of Abstract, the AI startup building "regulatory superintelligence" to track and analyze laws, bills, and regulations across 145,000+ government entities.
Pat explains how Abstract evolved from university research into a venture-backed company helping law firms, enterprises, and policymakers cut through the noise of Congress, state legislatures, and regulatory agencies. From uncovering hidden amendments in massive bills to proactively identifying risks and opportunities for businesses, Abstract is transforming how we understand legislation.
We cover:
How AI is reshaping lobbying, law, and compliance
Why Abstract is focused on proactive intelligence, not reactive compliance
The role of AI agents, LLMs, and retrieval-augmented generation (RAG) in policy analysis
Real examples of AI influencing funding and legislation
The future of democracy when citizens and businesses have true transparency into government
Whether you're in tech, law, government affairs, or just curious about how AI is changing democracy, this conversation reveals the future of policy intelligence.
🔗 Learn more about Abstract: https://www.abstract.us
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#283 Andrei Danescu: How Dexory Uses AI & Robotics for Warehouse Management
3 september 2025 · 48 min
What if your warehouse could see everything, all the time? Lees meer
In this episode of Eye on AI, we sit down with Andrei Danescu, CEO & Co-Founder of Dexory, to explore how AI and robotics are transforming logistics.
Andrei shares his journey from Formula 1 engineering to building one of the fastest-growing robotics companies in Europe. He explains how Dexory's autonomous robots and real-time digital twins are giving warehouses unprecedented visibility, cutting errors, boosting efficiency, and even turning storage into a profit driver.
We cover:
Why warehouses struggle with visibility and how AI solves it
The role of autonomous robots in scanning 10,000+ pallet locations per hour
How digital twins unlock optimization in space, flow, and production
Dexory's vision for the future of supply chains across Europe and the US
The balance between human workers and automation in logistics
If you want to understand the future of logistics, warehouse technology, and supply chain visibility, this conversation will give you a front-row seat.
Subscribe for more deep dives on AI, robotics, and the future of work.
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Craig Smith on X:https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) Intro
(02:08) The Birth of Dexory and Its Mission
(04:23) Building Autonomous Robots and Digital Twins
(08:52) Optimizing Space, Storage, and Traffic Flow
(12:15) DexoryView: The Platform Behind the Robots
(16:03) Humans, Robots, and the Future of Warehouses
(18:54) AI, SLAM, and the Tech Driving Dexory
(23:17) Real-Time Visibility and Error Elimination
(27:31) Multi-Site Insights and Supply Chain Potential
(32:47) Scaling Dexory: Markets, Adoption, and Growth
(37:01) Scanning at Scale: 10,000+ Pallets Per Hour
(41:11) Roadmap: AI Agents, Simulations, and Next Steps
(45:13) A Vision for Global Logistics Networks -
#282 Chris O'Neill: How GrowthLoop is Using Agentic AI for Real-Time, Personalized Marketing
2 september 2025 · 53 min
Marketing is changing forever. Lees meer
In this episode of Eye on AI, host Craig Smith sits down with Chris O'Neill, CEO of GrowthLoop and board member at Gap, to explore how agentic AI and GrowthLoop's Compound Marketing Engine are transforming the way brands connect with their customers.
Chris shares how GrowthLoop applies AI on top of modern data clouds like Snowflake, BigQuery, and Databricks to automate audience targeting, personalize campaigns in real time, and accelerate experimentation loops.
He explains why speed and iteration matter more than ever, how companies like Allegro doubled their return on ad spend with GrowthLoop, and why the future of marketing belongs to brands that embrace agentic AI.
If you're a marketer, technologist, or business leader looking to stay ahead in the age of AI, this conversation is packed with practical insights you can't afford to miss.
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#281 Leon Song: The Research Driving Next-Gen Open-Source Models (Together AI)
25 augustus 2025 · 50 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
In this episode of Eye on AI, we sit down with Leon Song, VP of Research at Together AI, to explore how open-source models and cutting-edge infrastructure are reshaping the AI landscape.
From speculative decoding to FlashAttention and RedPajama, Leon shares how Together AI is building one of the fastest, most cost-efficient AI clouds—helping enterprises fine-tune, deploy, and scale open-source models at the level of GPT-4 and beyond.
We dive into Leon's journey from leading DeepSpeed and AI for Science at Microsoft to driving system-level innovation at Together AI.
Topics include:
The future of open-source vs. closed-source AI models
Breakthroughs in speculative decoding for faster inference
How Together AI's cloud platform empowers enterprises with data sovereignty and model ownership
Why open-source models like DeepSeek R1 and Llama 4 are now rivaling proprietary systems
The role of GPUs vs. ASIC accelerators in scaling AI infrastructure
Whether you're an AI researcher, enterprise leader, or curious about where generative AI is heading, this conversation reveals the technology and strategy behind one of the most important players in the open-source AI movement.
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Craig Smith on X:https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI
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#280 Aytekin Tank: How to Fully Automate Your Customer Service with AI Agents
17 augustus 2025 · 45 min
This episode is brought to you by Extreme Networks, the company radically improving customer experiences with AI-powered automation for networking.Extreme is driving the convergence of AI, networking, and security to transform the way businesses connect and protect their networks, delivering faster performance, stronger security, and a seamless user experience. Lees meer
Visit https://www.extremenetworks.com/ to learn more.
JotForm began nearly twenty years ago as a simple online form builder.
Today, it has grown into a platform powering millions of users and has recently stepped into a new era of AI. In this episode, Aytekin Tank, founder and CEO of JotForm, shares the story of how the company pivoted from forms to launching AI Agents that are changing the way small and medium-sized businesses handle customer support and automation.
Aytekin explains how JotForm's AI journey started as an internal experiment to fill out forms by voice, only to discover that most users wanted it for customer service. That insight sparked the creation of JotForm AI Agents, tools that don't just answer questions, but perform tasks, scale support teams, and transform the customer experience.
Beyond the technology, Aytekin outlines a bold vision of the future where every business, no matter the size, will have its own AI-powered agent available around the clock to schedule appointments, answer questions, and even process transactions.
This conversation explores how AI is reshaping customer service and why small businesses, nonprofits, and educators stand to benefit the most from this wave of innovation.
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Craig Smith on X: https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) The Scale of JotForm Today and the AI Vision
(01:32) Aytekin's Journey: From Developer to Bootstrap Founder
(03:36) The Pivot: From Voice Forms to AI Customer Service
(05:25) Building and Launching JotForm AI Agents
(06:20) Using AI Internally: Cutting Tickets and Boosting Resolution Rate… -
#279 Matthew Carroll: Immuta's Approach to Secure, Scalable Data Access in the Age of AI
14 augustus 2025 · 54 min
Try OCI for free at http://oracle.com/eyeonai Lees meer
This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today's innovative AI tech companies who upgraded to OCI…and saved.
Matthew Carroll, CEO and co-founder of Immuta, joins the Eye on AI podcast to explore how data access governance is evolving in the age of generative AI.
As AI drives a surge in both human and non-human data consumers, traditional security models are no longer enough. Matthew explains how Immuta automates compliance, enforces policies across global jurisdictions, and scales secure access for enterprises—from blinded clinical trials in pharma to cross-border data sharing.
Discover why AI-powered governance agents, risk-based access controls, and native cloud integration are the future of compliant, scalable data use.
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Craig Smith on X: https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) How Immuta Governs Data in the AI Era
(02:59) Security Alone Isn't Enough in AI
(05:24) From U.S. Intel Roots to Immuta's Platform
(07:38) Pharma Trials: Protecting Billions in Drug Development
(12:58) The Data Marketplace & Access Negotiations
(16:07) Why Native Integration Beats Proxy Models
(20:33) Managing Data Across Borders & Sovereignty Laws
(25:33) The Data Governor Bottleneck (and AI Solution)
(31:05) Inside Immuta's SaaS Model & User Roles
(33:26) Big Data Lessons Driving AI ROI
(41:05) The Growing Data Governance Market
(45:48) Storage Portability & Apache Iceberg Explained
(48:32) Future Shift to Risk-Based, AI-Driven Access -
#278 Julia Peyre: How Schneider Electric is Pioneering Enterprise AI at Scale
10 augustus 2025 · 56 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
How does a 150,000-employee global leader make AI work at scale?
In this episode of Eye on AI, host Craig Smith sits down with Julia Peyre, Head of AI Strategy & Innovation at Schneider Electric, to explore how the company is pioneering enterprise AI adoption through its AI Hub, hybrid AI systems, and real-world digital twin applications.
From breaking data silos and embedding AI into hardware, to partnering with startups and building predictive maintenance solutions, Julia shares a blueprint for bringing AI from pilot programs to full-scale deployment, across both internal processes and customer-facing products.
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Craig Smith on X:https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) Preview and Intro
(01:58) Meet Julia Peyre & Her Role
(03:19) Inside Schneider's AI Hub
(05:51) AI in Industrial Automation & Robotics
(08:43) Internal vs External AI Applications
(13:54) Why Schneider Is Ahead in AI Adoption
(15:57) Centralized AI Hub Model
(19:38) Hybrid AI: Combining Physics & Data
(25:44) Early Steps in Multi-Agent Systems
(29:54) Breaking Data Silos for AI at Scale
(32:02) Predictive Maintenance with Hybrid AI
(37:03) Long-Term View on AI Automation
(42:37) Advice for Young Professionals in AI
(44:21) Framework for Evaluating AI Solutions
(50:19) Involving End Users in AI Testing -
#277 Alex Salazar: Arcade's Vision to Make AI Agents Secure and Scalable
6 augustus 2025 · 53 min
In this episode of Eye on AI, host Craig Smith sits down with Alex Salazar, co-founder and CEO of Arcade.dev, to explore what it really takes to build secure, scalable AI agents that can take real-world actions. Lees meer
While everyone's talking about the future of autonomous agents, most never make it past the demo stage. Why? Because agents today lack secure infrastructure to connect with real tools like Gmail, Slack, Notion, GitHub—and do so on behalf of users without breaking authentication protocols.
Alex shares how Arcade solves the missing layer in AI agent development: secure tool execution, user-specific authorization, OAuth flows, and production-ready consistency.
Whether you're building with GPT‑4, Claude, or open-source models, Arcade handles the hard part—making agent actions actually work.
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Craig Smith on X:https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) Why AI Agents Can't Take Action (Yet)
(01:27) Meet Alex Salazar: From Okta to Arcade
(03:39) What Arcade.dev Actually Does
(05:16) Agent Protocols: MCP, ACP & Where Arcade Fits
(07:36) Arcade Demo: Building a Multi-Tool AI Agent
(11:16) Handling Secure Authentication with OAuth
(14:40) Why Agents Need User-Tied Authorization
(19:25) Tools vs APIs: The Real Interface for LLMs
(23:41) How Arcade Ensures Agents Go Beyond Demos
(25:48) Why Arcade Focuses on Developers, Not Consumers
(27:55) The Roadblocks to Production-Ready Agents
(31:15) How Arcade Integrates Into Agent Workflows
(33:16) Tool Calling & Model Compatibility Challenges
(34:49) Arcade's Pricing Model Explained
(36:20) Competing with Big Tech: IBM, AWS & Others
(38:38) Future of Agents: From Hype to Workflow Automation
(41:58) Real Use Cases: Email Agents, Slack Bots, Finance & More
(46:17) Agent Marketplaces & The Arcade Origin Story -
#276 Ryan Wang: How Assembled is Building the Future of AI-Powered Customer Support
3 augustus 2025 · 59 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
What happens when AI meets the chaos of real-world customer support?
In this episode of Eye on AI, we sit down with Ryan Wang, co-founder and CEO of Assembled, to unpack how AI is transforming the future of customer service, without replacing humans.
Ryan reveals how Assembled went from a workforce scheduling tool to a full-stack AI support platform used by companies like Stripe, Robinhood, and Honeylove.
You'll learn how conversational AI agents are handling up to 75% of support inquiries, why voice is the next big frontier, and how AI copilots are helping human agents become 15% more productive.
But this isn't just hype. Ryan shares the hard economic truths behind automation—why humans aren't going away, how companies are navigating global workforce optimization, and why hybrid AI + human systems are here to stay.
This episode gives you a front-row seat into how the smartest companies are rethinking support at scale.
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Craig Smith on X:https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) Preview and Intro
(01:37) Ryan Wang's Journey from Stripe to Assembled
(04:55) Launching Assembled
(09:49) From Scheduling Tool to AI-Powered Support
(12:11) Who Uses Assembled: Companies vs. BPOs
(14:57) Building Conversational and Voice AI Agents
(21:10) Competing with Zendesk, Salesforce & Crescendo
(23:07) How Assembled Integrates with Customer Support Stacks
(25:40) The Niche Power of Workforce Management Tech
(31:16) Why the Customer Support Market Is Ripe for Disruption
(33:47) How Assembled Swaps Between OpenAI, Claude & Others
(37:56) Evaluating LLMs with Golden Datasets and 'Vibe Checks'
(41:20) Multilingual Support and the Challenge of Europe
(45:11) Industry Focus vs. Complexity Focus
(47:43) Voice AI: The Next Big Frontier?
(50:18) The Truth About AI Replacing Jobs in Support
(54:39) The Automation Paradox: Why Labor I… -
#275 Nandan Nayampally: How Baya Systems is Fixing the Biggest Bottleneck in AI Chips (Data Flow)
31 juli 2025 · 47 min
What if the biggest challenge in AI isn't how fast chips can compute, but how quickly data can move? Lees meer
In this episode of Eye on AI, Nandan Nayampally, Chief Commercial Officer at Baya Systems, shares how the next era of computing is being shaped by smarter architecture, not just raw processing power. With experience leading teams at ARM, Amazon Alexa, and BrainChip, Nandan brings a rare perspective on how modern chip design is evolving.
We dive into the world of chiplets, network-on-chip (NoC) technology, silicon photonics, and neuromorphic computing. Nandan explains why the traditional path of scaling transistors is no longer enough, and how Baya Systems is solving the real bottlenecks in AI hardware through efficient data movement and modular design.
From punch cards to AGI, this conversation maps the full arc of computing innovation. If you want to understand how to build hardware for the future of AI, this episode is a must-listen.
Subscribe to Eye on AI for more conversations on the future of artificial intelligence and system design.
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Craig Smith on X:https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) Why AI's Bottleneck Is Data Movement
(01:26) Nandan's Background and Semiconductor Career
(03:06) What Baya Systems Does: Network-on-Chip + Software
(08:40) A Brief History of Computing: From Punch Cards to AGI
(11:47) Silicon Photonics and the Evolution of Data Transfer
(20:04) How Baya Is Solving Real AI Hardware Challenges
(22:13) Understanding CPUs, GPUs, and NPUs in AI Workloads
(24:09) Building Efficient Chips: Cost, Speed, and Customization
(27:17) Performance, Power, and Area (PPA) in Chip Design
(30:55) Partnering to Build Next-Gen Photonic and Copper Systems
(32:29) Why Moore's Law Has Slowed and What Comes Next
(34:49) Wafer-Scale vs Traditional Die: Where Baya Fits In
(36:10) Chiplet Stacking and Composability Explained
(39:44) The Future of On-Chip Networking
(41:10) Neuromorphic Computing: Energy-Efficient AI
(… -
#274 Luke Behnke: Why Grammarly Is Going All In on AI Agents
28 juli 2025 · 57 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
Grammarly is no longer just a writing assistant. It's building an AI productivity platform that could rival Microsoft Copilot. In this episode, Luke Behnke, VP of Enterprise Product at Grammarly, shares how the company is moving beyond grammar correction into intelligent agents, enterprise workflows, and real-time AI tools.
We dive into Grammarly's new Authorship feature, why AI fluency is becoming essential at work, how Grammarly is integrating tools like Coda and Superhuman, and what the future of multi-agent systems looks like.
If you're curious about where AI at work is really heading, this conversation will give you a clear and powerful glimpse.
(00:00) Preview and Intro
(03:37) Meet Luke Behnke
(05:00) Grammarly's Origin Story and Early Vision
(09:11) Grammarly's UX Advantage
(13:30) Competing With Microsoft Copilot and Built-In Assistants
(17:48) What Is "Authorship" and Why It Matters
(20:31) AI Detection vs Authorship Tracking
(25:05) The Future of AI Transparency
(27:43) Why AI Fluency Will Be a Job Requirement
(32:04) Grammarly's Agentic Vision
(34:11) The Rise of Context-Aware Enterprise Agents
(38:24) Use Cases: Automating Tasks Across Tools with AI
(40:21) The Coda Acquisition & Building the Agent Platform
(44:48) The Future of Interoperable AI Agents
(47:43) Why Agent Oversight Is Crucial in Enterprise AI
(55:57) Measuring Grammarly's ROI in the Enterprise -
#273 Benjamin Encz: How Ashby is Building the Future of Hiring with AI
24 juli 2025 · 48 min
This episode is brought to you by Extreme Networks, the company radically improving customer experiences with AI-powered automation for networking.Extreme is driving the convergence of AI, networking, and security to transform the way businesses connect and protect their networks, delivering faster performance, stronger security, and a seamless user experience. Lees meer
Visit https://www.extremenetworks.com/ to learn more.
In this episode, Craig Smith sits down with Benjamin Encz, co-founder and CEO of Ashby, the AI-powered recruiting platform that is transforming how companies hire.
Ashby is disrupting the $650B recruiting industry by combining automation, data, and large language models to streamline the entire hiring process, from job postings to resume screening and interview scheduling. With clients like OpenAI and Shopify, Ashby is setting a new standard for modern recruiting.
Benji shares how AI is boosting efficiency while keeping human judgment at the center, and what the future of hiring could look like as these tools continue to evolve.
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#272 Andrew Blum: Inside The Most Important AI Event Of The Year (HumanX)
20 juli 2025 · 24 min
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What if the most important AI conference in the world wasn't built by academics or hype merchants, but by operators who actually understand what businesses need?
In this episode, Craig sits down with Andrew Blum, Co-Founder and COO of HumanX, the breakout AI conference that has quickly become the go-to gathering for enterprise leaders, AI builders, and government policymakers.
Andrew shares the inside story of how HumanX went from an idea born in a VC incubator to hosting 3,300+ attendees, 350 speakers, and leaders from OpenAI, Anthropic, Mistral, Snowflake, and more, all within 18 months. You'll hear how HumanX is different from other conferences, why face-to-face connection matters more than ever, and how HumanX is creating the bridge between AI innovation and real-world business transformation.
This is a behind-the-scenes look you won't want to miss.
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#271 Steve Lucas: Why AI Agents Will Automate 75% of Business Operations by 2026
17 juli 2025 · 42 min
This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today's innovative AI tech companies who upgraded to OCI…and saved. Lees meer
Try OCI for free at http://oracle.com/eyeonai
What if the future of enterprise wasn't human-driven, but agent-driven?
In this groundbreaking episode, Steve Lucas, CEO of Boomi, unveils a radical vision for the next era of business: one where AI agents will power 75% of enterprise operations by 2026. From eliminating traditional user interfaces to transforming legacy systems with no-code automation, Steve walks us through how Boomi is building the infrastructure for a self-driving enterprise, and why businesses that fail to prepare will be left behind.
This episode will shift your perspective on where the enterprise is headed and who (or what) will be running it.
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#270 Thomas Dohmke: GitHub CEO Reveals How AI Will Change Coding Forever
15 juli 2025 · 53 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
In this episode, GitHub CEO Thomas Dohmke joins us for a deep dive into the evolution of software development — from decentralized version control to the rise of AI coding agents. With over 150 million developers on GitHub and tools like Copilot rewriting the rules of software engineering, we explore what it really means to build in an AI-native future.
Thomas shares the origin story of Copilot, how GitHub is shifting from human-to-human to human-to-agent collaboration, and why he believes natural language is becoming the universal programming language. We also cover the technical architecture behind Coding Agents, the feedback loop between developers and AI, and what it takes to scale multi-agent systems in the real world.
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(00:00) The Future of AI-Powered Coding
(02:04) Thomas Dohmke's Journey
(05:16) GitHub's Origin Story & Evolution
(08:45) Life Before GitHub: Early Version Control Systems
(10:40) What is Git? And Why GitHub Matters
(12:36) The Birth of GitHub Copilot
(16:17) The Rise of AI Agents
(17:52) How Kids Are Learning to Code with Copilot
(22:38) Can Non-Coders Use Copilot Agents Effectively?
(26:01) What the Coding Agent Actually Does Behind the Scenes
(31:30) The Models Behind GitHub Copilot & Developer Choice
(35:22) How Much Code Is Now Written by AI?
(38:51) GitHub's Innovation Strategy
(41:54) What's Next for GitHub
(45:24) From 150M to 1B Developers: Empowering the World to Build
(47:51) GitHub Universe & Galaxy Events
(49:53) GitHub's Innovation Graph and the Power of Open Collaboration
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#269 Jason Hardy: How Hitachi Vantara Is Powering the Future of Enterprise AI
11 juli 2025 · 56 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
In this episode of Eye on AI, Craig Smith sits down with Jason Hardy, Chief Technology Officer for AI at Hitachi Vantara, to explore what it really takes to deploy AI at scale in the enterprise, beyond the hype.
Jason shares how Hitachi is building a pragmatic, outcomes-driven AI platform through Hitachi iQ. From working with NVIDIA to integrating agentic AI into operations, this conversation unpacks the infrastructure, mindset, and strategies needed to move AI projects from experimentation to production.
Whether you're navigating AI adoption, battling with data readiness, or looking to build your own LLM-powered applications, this episode offers invaluable insights from a company that's actually doing it globally, sustainably, and at scale.
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(00:00) Preview
(02:10) The Role of CTO for AI at Hitachi Vantara
(05:38) Applying AI Across Manufacturing, Energy & Transport
(09:54) What Is Pragmatic AI?
(13:21) Infrastructure Demands of Generative AI
(14:47) Why Most AI Projects Fail
(20:25) Inside the Hitachi iQ Platform & NVIDIA Partnership
(25:42) Building a Model-Agnostic, Hybrid AI Stack
(32:08) Beyond Selling GPUs: Delivering Real AI Outcomes
(38:09) Supporting Hybrid Deployments Across Cloud and On-Prem
(42:02) Rethinking ROI: Failure as a Strategic Advantage
(47:44) Agentic AI and the Future of Autonomous IT Workflows
(49:37) Five Core Domains of Agentic AI at Hitachi
(53:02) Making AI Infrastructure Sustainable
(56:48) Hitachi's Vision for the Future of Enterprise AI
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#268 Kiren Sekar: The Future of Physical Operations Is AI-Powered (Here's Why)
6 juli 2025 · 56 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
How AI Is Transforming the Physical World | Samsara's Vision for the Future of Operations
In this episode of Eye on AI, Craig Smith sits down with Kiren Sekar, Chief Product Officer at Samsara, to explore how AI, edge computing, and IoT are revolutionizing the world of physical operations - from fleets and factories to farms and field teams.
Samsara has quietly become the digital backbone for thousands of frontline businesses, collecting trillions of data points across vehicles, tools, and teams. Kiren explains how they're building AI-powered systems that don't just collect data, they deliver real-time safety alerts, optimize routes, track fuel efficiency, and even coach drivers automatically.
Whether you work in tech, operations, or AI, this episode shows how AI is finally meeting the real world.
Check our Samsara, AI Build for Physical Operations: https://www.samsara.com/
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(00:00) Preview
(02:01) Kiren Sekar's Background and Why Samsara Was Founded
(06:38) The Real-World Impact of Samsara's AI Systems
(09:04) What Changed After Samsara Went Public
(11:09) How Samsara Gives Businesses Visibility Into Operations
(13:08) The Hardware and Cellular Network Powering Samsara
(14:13) AI to Detect Driving Risks
(23:13) Tracking Every Asset: From Cranes to Toolkits
(25:20) Why Even Mid-Sized Companies Can Use Samsara Easily
(27:25) Regional Dashboards and AI Insights for Executives
(29:57) How Samsara Decides Where to Apply AI
(32:54) Can AI Read Handwritten Forms?
(35:31) The AI Models Samsara Uses
(39:21) What Samsara Processes at the Edge vs in the Cloud
(43:00) Why Samsara Keeps Its R&D Team Small and Fast
(46:35) Why Legacy Industries Are Finally Adopting AI
(49:12) What Agentic AI Workflows Look Like at Samsara
(54:53) What's Next: AI Voic…
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#267 Nabil Bukhari: Exploring the Future of AI-Powered Enterprise Networking with Extreme Networks
2 juli 2025 · 55 min
What does the future of enterprise networking really look like? Lees meer
In this episode, Extreme Networks' Chief Product & Technology Officer Nabil Bukhari joins Craig to explore how AI, autonomous agents, and platform thinking are transforming the core infrastructure of modern businesses.
From managing mission-critical networks to building agentic systems that collaborate, troubleshoot, and scale autonomously - this is a deep dive into how connectivity is being redefined from the ground up.
Whether you're a tech leader, CIO, product builder, or simply curious about how infrastructure evolves, this conversation reveals where the enterprise is headed next.
Check out Extreme Networks: https://www.extremenetworks.com/
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(00:00) Preview
(01:02) Introducing Nabil Bukhari & Extreme Networks
(05:24) Why Global Connectivity Is Still Accelerating
(07:54) How Enterprise Data Flows Across Modern Networks
(12:34) Networking for AI vs. Built-in AI
(14:12) Platform One & Agentic AI Systems Explained
(21:20) Human-in-the-Loop, Over-the-Loop, and Above-the-Loop
(23:35) Why AI Guardrails Must Be Baked into the Architecture
(27:33) Introducing the ARC Framework
(31:15) Persona-Based Interfaces for NetOps, CFOs & CMOs
(33:25) The Problem with Chatbots
(36:06) Enterprise vs. Public Networks
(38:38) Global Connectivity Infrastructure & Use Case Variability
(44:29) How Secure and Resilient Are Enterprise Networks?
(52:24) In-House AI for Critical Infrastructure
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#266 Andy Kurtzig: How Pearl Uses AI + Human Experts In Professional Services
29 juni 2025 · 48 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
What if AI could actually be trusted in healthcare, law, or even car repair?
In this episode, Andy Kurtzig, founder and CEO of Pearl (formerly JustAnswer), reveals how his platform is solving the biggest problems in AI: hallucinations, liability, and monetization.
Pearl blends large language models with real human experts across 700+ categories—so users get AI speed and human-verified accuracy.
Whether you're a doctor, mechanic, or just someone with a question, Pearl offers fast, affordable, and expert-backed answers—without the risk of misinformation.If you're building in AI, working in a regulated industry, or just curious about the future of trusted automation—this episode is for you.
Check out Pearl, AI Enhanced Human Expertise: https://www.pearl.com/
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Craig Smith on X: https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) Introduction
(03:20) Why Pearl Focuses on High-Stakes Industries
(06:10) How Pearl Reduces AI Hallucinations with Human Trust Scores
(10:11) Pearl.com's Ideal Customers
(14:14) Solving AI Liability with Platform Protection
(23:27) The Three Big Problems in AI: Risk, Quality, and Monetization
(29:00) Why Human-in-the-Loop Is the Future of AI
(33:26) Pearl's API: Bringing Verified Experts to Any App
(39:27) Building Trust in AI Through Human Validation
(41:03) The Road Ahead for Pearl and Human-Centered AI -
#265 Jeff Lu: How Akool Uses Gen AI to Make Live AI Avatars & Voices
27 juni 2025 · 45 min
What if you could translate any video into any language—instantly—and make it look like the speaker was really speaking it? Lees meer
In this episode of Eye on AI, host Craig Smith sits down with Jeff Liu, founder and CEO of Akool, to explore how AI avatars and real-time video translation are eliminating global language barriers. With a background at Apple, Google, and Stanford, Jeff is leading Akool to the frontier of generative AI: cloning faces, voices, and emotions in live video streams.
We dive into the technical architecture behind Akool's real-time avatars, the role of large language models in translation latency, and what the future looks like when the need to "learn languages" may disappear.
Whether you're a content creator, marketer, technologist, or just curious about what's next in AI and communication, this episode is a must-listen.
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(00:00) Creating Digital Clones with AI
(01:20) Jeff Liu's Journey from Big Tech to Startup Founder
(02:54) What Akool Does and Who It's For
(07:11) Inside the Live AI Avatar Suite
(10:32) How Akool Powers Real-Time AI Avatars
(16:05) Solving Language Translation with Avatars
(21:40) Translating YouTube Videos with One Click
(28:36) The Technology Behind Real-Time Translation
(33:22) Competing with Tech Giants Like Google
(36:26) Akool's Vision
(39:36) Avatar Types: Instant, Studio, and Ultra explained
(43:39) Building Emotional Nuance into Voice and Video
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#264 Amr Awadallah: Vectara's Mission To Make AI Hallucination-Free & Enterprise Ready
22 juni 2025 · 39 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
What's stopping large language models from being truly enterprise-ready?
In this episode, Vectara CEO and co-founder Amr Awadallah breaks down how his team is solving one of AI's biggest problems: hallucinations.
From his early work at Yahoo and Cloudera to building Vectara, Amr shares his mission to make AI accurate, secure, and explainable. He dives deep into why RAG (Retrieval-Augmented Generation) is essential, how Vectara detects hallucinations in real-time, and why trust and transparency are non-negotiable for AI in business.
Whether you're a developer, founder, or enterprise leader, this conversation sheds light on the future of safe, reliable, and production-ready AI.
Don't miss this if you want to understand how AI will really be used at scale.
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#263 Jarek Kutylowski: How DeepL Is Using AI to Break Language Barriers
18 juni 2025 · 54 min
What if language was no longer a barrier to global business? Lees meer
In this episode, DeepL CEO Jarek Kutylowski joins Craig Smith to unpack how AI-powered translation is reshaping the way companies communicate across borders.
From real-time speech tools to enterprise-grade language workflows, Jarek shares DeepL's journey, the tech behind their LLMs, and why accuracy, nuance, and localization matter more than ever. If you're building for a global audience, this conversation is a must-listen.
About Jarek:
Dr. Jaroslaw "Jarek" Kutylowski is the founder and CEO of DeepL, the Cologne-based Language AI company transforming global communication and breaking down language barriers for businesses worldwide.Born in Poland and having spent a large part of his life in Germany, Jarek brings an international perspective and a lifelong passion for technology - a developer at heart, he began coding at just 10 years old, building tools he found useful in daily life. He holds a PhD in Computer Science with a focus on mathematics and has held roles at several tech companies prior to founding DeepL.
Under his leadership, DeepL has grown rapidly, expanding its Language AI platform to offer highly accurate and nuanced human-like translation in both written and spoken formats, as well as a contextual AI writing assistant. Today, over 200,000 businesses and governments - and millions of individuals across 228 global markets - trust DeepL for secure, seamless and effective communication.
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(00:00) Introduction to DeepL and Jarek's Vision
(05:09) DeepL's Technology Evolution
(08:17) The DeepL Platform: Products, APIs, and Enterprise Use Cases
(12:39) Why DeepL Outperforms Consumer Tools
(15:14) How Enterprises Use DeepL
(17:05) DeepL's Translation Accuracy
(21:20) Breaking Language Barriers in Global Workforces
(23:46) A Future Without Language Barriers
(27:19) Expanding Language Coverage…
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#262 Deepak Chopra: How to Use AI to Expand Human Consciousness
15 juni 2025 · 53 min
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Can AI expand human consciousness? Or is it just a simulation of wisdom?
In this mind-bending episode of Eye on AI, host Craig Smith sits down with world-renowned spiritual teacher and author Deepak Chopra to explore the future of Artificial Intelligence, consciousness, health, and spiritual awakening.
Deepak unpacks the ideas behind his latest book, Digital Dharma, and shares how his team built a small language model—DeepakChopra.ai—designed to serve as a digital health and spiritual guide. Together, they dive deep into quantum theory, the illusion of the physical world, and why consciousness is not something AI can ever possess—but it can help us reach it.
Whether you're an AI enthusiast, a spiritual seeker, or simply curious about the future of human evolution, this episode will challenge your assumptions and expand your perspective.
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(00:00) Why Deepak Chopra Is Entering the AI Space
(04:05) The Promise and Peril of the AI Revolution
(09:47) How Deepak Chopra Built His Own AI Model
(13:58) Is AI the Future of Human Evolution?
(15:39) How the AI Landscape Has Evolved Over Time
(21:22) AI in Preventative Healthcare
(24:49) Key Insights from "Digital Dharma"
(25:40) Using Prompt Engineering for Inner Growth
(38:28) Exploring Human Potential Through AI
(43:16) Can AI Understand Human Emotions?
(47:00) Spiritual Awakening in the Age of AI
(50:54) The Future of AI and Consciousness
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#261 Jonathan Frankle: How Databricks is Disrupting AI Model Training
12 juni 2025 · 53 min
This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today's innovative AI tech companies who upgraded to OCI…and saved. Lees meer
Try OCI for free at http://oracle.com/eyeonai
What if you could fine-tune an AI model without any labeled data—and still outperform traditional training methods?
In this episode of Eye on AI, we sit down with Jonathan Frankle, Chief Scientist at Databricks and co-founder of MosaicML, to explore TAO (Test-time Adaptive Optimization)—Databricks' breakthrough tuning method that's transforming how enterprises build and scale large language models (LLMs).
Jonathan explains how TAO uses reinforcement learning and synthetic data to train models without the need for expensive, time-consuming annotation. We dive into how TAO compares to supervised fine-tuning, why Databricks built their own reward model (DBRM), and how this system allows for continual improvement, lower inference costs, and faster enterprise AI deployment.
Whether you're an AI researcher, enterprise leader, or someone curious about the future of model customization, this episode will change how you think about training and deploying AI.
Explore the latest breakthroughs in data and AI from Databricks: https://www.databricks.com/events/dataaisummit-2025-announcements
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#260 Ash Anwar: How Molecular You Uses AI for Early Disease Detection
9 juni 2025 · 49 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
What if your blood could reveal the future of your health - years before symptoms ever appear?
In this episode of Eye on AI, Craig Smith sits down with Ash Anwar, co-founder of Molecular You, to explore how AI and advanced biomarker analysis are transforming how we detect and prevent disease.
From a real-life case where stage 1 pancreatic cancer was caught early, to the science behind tracking 250+ dynamic biomarkers, Ash breaks down how Molecular You is shifting healthcare from reactive treatment to proactive longevity.
They dive into the limitations of genetic testing, the power of machine learning models trained on clinical data, and how personalized action plans are helping individuals take control of their health in real time.
If you're curious about the intersection of AI, diagnostics, and the future of preventive medicine—this is a conversation you won't want to miss.
Stay Updated:
Craig Smith on X: https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI(00:00) How AI Can Predict Disease Before It Happens
(02:02) Meet Ash Anwar: From Scientist to Health Tech Leader
(06:31) What Is Molecular You and How It Works
(09:43) Why Biomarker Tracking Over Time Is a Game-Changer
(15:46) How Molecular You Detected Stage 1 Pancreatic Cancer
(23:15) Biomarkers vs Genetics: What Really Matters
(28:11) The AI Models Behind Early Disease Detection
(32:37) How the Product Works for Clinics and Consumers
(35:05) Who They Compete With and What Makes Them Different
(37:34) Research vs Product: The Cancer Risk Challenge
(43:43) How Often Should You Get Tested? -
#259 Anjney Midha: a16z's Strategy to Turn AI Startups into Unicorns
2 juni 2025 · 57 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
What does it really take to turn cutting-edge AI research into a successful foundation model company?
In this episode of Eye on AI, we sit down with Anjney Midha, General Partner at a16z, to unpack how he helps scientists and researchers transform their breakthroughs into scalable, real-world AI businesses.
From his early backing of Anthropic to launching Mistral and Black Forest Labs, Anjney shares a behind-the-scenes look at how AI infrastructure companies are born.
We dive into the critical challenges of model reliability, evaluation beyond academic benchmarks, and the rise of hybrid architectures combining transformers with diffusion and LSTMs.
If you're building in AI or investing in it, this is the roadmap to what's next.
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(00:00) Turning AI Research into Real Companies
(02:08) Anjney's Journey into Venture Capital
(05:44) The Birth of Anthropic
(08:26) Backing Mistral and Stable Diffusion
(13:16) Are Transformers Really Enough?
(18:36) Why AI Evaluation Is Broken
(22:10) Making AI Models More Interpretable
(28:38) The Real Potential of AI Agents
(32:43) How a16z Spots AI Breakthroughs
(37:45) Investing Like It's the 1970s
(43:31) What AI Voice Tech Needs Right Now
(46:32) Models vs Products
(51:17) What's Holding Back AI Agents
(55:41) Anjney Startup Investing Strategy
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#258 Brian Peterson: How Dialpad is Building the Future of AI-Powered Communication
29 mei 2025 · 37 min
What happens when you combine 8 billion minutes of voice data with a full-stack AI engine? Lees meer
Yes, that's what Dialpad is doing.
In this episode, Brian Peterson, CTO and Co-Founder, breaks down how they've built an AI-powered communications platform from the ground up.
From real-time sales coaching and AI-driven support agents to predictive analytics that can spot churn before it happens, Brian shares why owning the full stack — infrastructure, LLMs, and data is the only way to deliver truly intelligent customer experience.
If you're curious about the future of AI in business communication, this is the episode to watch.
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(00:00) Brian's Founding Story
(03:56) What Dialpad Actually Does Today
(05:17) Is Voice the Most Valuable Untapped Data Source?
(07:41) Inside DialpadGPT
(10:10) AI Solutions for Sales, Support & Collaboration
(12:24) Owning the Entire Customer Journey with Unified Comms
(14:11) How Dialpad Stays Ahead in the AI Race
(17:50) Real-Time AI Coaching & Playbooks
(22:32) Why Most Enterprises are Behind in AI Adoption
(25:28) Action-Oriented AI Agents
(32:40) What's Next for AI in Customer Communication
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#257 Ankur Banerjee: How cheqd.io Is Building Trust for AI Agents with Decentralized Identity
25 mei 2025 · 59 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
What if AI agents needed digital passports to act on your behalf?
In this episode, Ankur Banerjee, Co-Founder and CTO of cheqd.io, reveals how decentralized identity is becoming the foundation of the AI agent economy.
From booking Taylor Swift tickets with an agent to proving you're a real person online, we explore why identity and trust are the hidden infrastructure shaping the future of AI.
Ankur explains how cheqd is building privacy-first tools that let AI agents verify who they are, what they can do, and who they're working for, all without handing over your data to big tech. We dig into the rise of digital credentials, the limits of biometrics, and how protocols like MCP are making the internet safe for autonomous agents.
If you've ever wondered how AI will operate on your behalf in the real world, this conversation offers a glimpse into what's coming next.
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(00:00) Why AI Needs Identity
(02:16) Ankur's Path to cheqd
(05:39) Delegating Tasks to AI Agents
(11:26) Identity Lessons from Governments
(17:25) Trusting AI with Digital Credentials
(23:42) The Problem with Biometrics
(30:49) Web Standards for Agent Identity
(36:46) MCP and Agent Interoperability
(48:47) Bridging Web2 and Web3 Identity
(55:18) Why Companies Should Care About Decentralized ID
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#256 Stephen Schmidt: Inside Amazon's AI-Powered Cybersecurity Strategy
22 mei 2025 · 54 min
Can Generative AI Be Secured? Amazon's Chief Security Officer Weighs In Lees meer
In this episode of Eye on AI, Amazon's Chief Security Officer Stephen Schmidt pulls back the curtain on how Amazon is using AI-powered cybersecurity to defend against real-world threats. From global honeypots to intelligent alarm systems and secure AI agent networks, Steve shares never-before-heard details on how Amazon is protecting both its infrastructure and your data in the age of generative AI.
We dive deep into:
Amazon's MadPot honeypot network and how it tracks adversaries in 90 seconds
The role of AI in threat detection, alarm triage, and code validation
Why open-source vs. closed-source models are a real security debate
The critical need for data privacy, secure LLM usage, and agent oversight
Amazon's $5M+ Nova Trusted AI Challenge to battle adversarial code generation
Whether you're building AI tools, deploying models at scale, or just want to understand how the future of cybersecurity is evolving—this episode is a must-listen.
Don't forget to like, subscribe, and turn on notifications to stay updated on the latest in AI, security, and innovation.
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(00:00) Preview
(00:52) Stephen Schmidt's Role and Background at Amazon
(02:11) Inside Amazon's Global Honeypot Network (MadPot)
(05:26) How Amazon Shares Threat Intel Through GuardDuty
(08:06) Are Cybercriminals Using AI?
(10:28) Open Source vs Closed Source AI Security Debate
(13:09) What Is Amazon GuardDuty
(17:44) How Amazon Protects Customer Data at Scale
(20:18) Can Autonomous AI Agents Handle Security?
(25:14) How Amazon Empowers SMBs with Agent-Driven Security
(26:18) What Tools Power Amazon's Security Agents?
(29:25) AI Security Basics
(35:34) Securing AI-Generated Code
(37:26) Are Models Learning from Our Queries?
(39:44) Risks of Agent-to-Agent Data Sharing
(42:08) Inside the $5M Nova Trusted AI Security Challe…
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#255 Eric Topol: Why AI is the Most Powerful Tool in Healthcare Now
19 mei 2025 · 49 min
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. Lees meer
What if AI could predict exactly when you'd get sick—and help you prevent it?
In this episode of Eye on AI, Dr. Eric Topol, world-renowned cardiologist, author, and AI health pioneer, joins us to unveil the future of preventive medicine. We dive deep into the themes of his new book Super Agers, which lays out a groundbreaking blueprint for extending healthspan—not just lifespan—through the power of multimodal AI and deep biological data.
Dr. Topol explains how AI models can now analyze a full-stack of human data—genomics, proteomics, metabolomics, microbiome, and more—to forecast age-related diseases like cancer, Alzheimer's, and heart disease decades before symptoms appear. This isn't science fiction. It's here now.
If you're interested in the intersection of AI, longevity, and the future of medicine, this is a must-listen.
Where AI Works tackles the big questions shaping AI's role in business today, cutting through the hype to deliver actionable insights for leaders. Brought to you by the Wharton School, in collaboration with Accenture, this podcast combines cutting-edge research with real-world case studies to uncover how top companies are using AI to upskill workforces, enhance customer experiences, boost productivity, and streamline operations.
Check it out: https://link.cohostpodcasting.com/f5e223b4-da0c-4fc8-bbf3-5f24c15f8fd2?d=sxo9xhJN2
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(00:00) The Power of Precision Medical Forecasting
(01:53) Eric Topol's Journey into Digital & AI Medicine
(03:27) Using AI to Prevent Aging-Related Diseases
(05:25) The Challenge of Health Data Privacy & Ownership
(09:05) Genetic Risk to Deep Data Insights
(11:20) Personalized Prevention Through Lifestyle & Biomarkers
(13:59) Why Anti-Aging Drugs Are Still Years Away
(16:18) What are Organ Clocks
(19:34…
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#254 Prashanth: Why Developers Still Trust Stack Overflow in the Age of AI
14 mei 2025 · 49 min
This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today's innovative AI tech companies who upgraded to OCI…and saved. Lees meer
Offer only for new US customers with a minimum financial commitment. See if you qualify for half off at http://oracle.com/eyeonai
In this episode of Eye on AI, host Craig Smith speaks with Prashanth Chandrasekar, CEO of Stack Overflow, about how one of the internet's most trusted platforms for developers is adapting to the era of generative AI. With over 60 million human-curated Q&A pairs, Stack Overflow is now at the center of AI development — not as a competitor to large language models like ChatGPT, but as a foundational knowledge base that powers them.
Prashanth breaks down how Stack Overflow is partnering with OpenAI, Google, and other LLM providers to license its data and improve AI accuracy, while also protecting the integrity of its community. He explains the rise of OverflowAI, how Stack Overflow for Teams is fueling enterprise-grade co-pilots, and why developers still rely on expert human input when AI hits its "complexity cliff." The conversation covers everything from hallucination problems and trust issues in AI-generated code to the monetization of developer data and the evolving interface of the web.
If you want to understand the future of developer tools, AI coding assistants, and how human knowledge will coexist with autonomous agents, this episode is a must-listen.
Subscribe for more deep dives into how AI is reshaping the world of software, enterprise, and innovation.
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(00:00) Intro
(02:31) Prashanth's Journey from Developer to CEO
(05:18) Why Stack Overfl…
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#253 Ivan Shkvarun: Inside the Fight Against AI-Driven Cybercrime
11 mei 2025 · 47 min
This episode is brought to you by Extreme Networks, the company radically improving customer experiences with AI-powered automation for networking.Extreme is driving the convergence of AI, networking, and security to transform the way businesses connect and protect their networks, delivering faster performance, stronger security, and a seamless user experience. Lees meer
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In this episode of Eye on AI, we sit down with Ivan Shkvarun, CEO of Social Links and founder of the Dark Side AI Initiative, to uncover how cybercriminals are leveraging generative AI to orchestrate fraud, deepfakes, and large-scale digital attacks—often with just a few lines of code.
Ivan shares how his team is building real-time OSINT (Open Source Intelligence) tools to help governments, enterprises, and law enforcement fight back. From dark web monitoring to ethical AI frameworks, we explore what it takes to protect the digital world from the next wave of AI-powered crime.
Whether you're in tech, cybersecurity, or policy—this conversation is a wake-up call.
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.
From cybersecurity to law enforcement — discover how Social Links brings the full potential of OSINT to your team at http://bit.ly/44sytzk
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(00:00) Preview
(02:11) Meet Ivan Shkvarun & Social Links
(03:41) Launching the Dark Side AI Initiative
(05:16) What OSINT Actually Means Today
(08:39) How Law Enforcement Trace Digital Footprints
(12:50) Connecting Surface Web to Darknet
(16:12) OSINT Methodology in Action
(20:23) Why Most Companies Waste Their Own Data
(21:09) Cybersecurity Threats Beyond the IT Department
(26:25) BrightSide AI vs. DarkSide AI
(30:10) Should AI-Generated Content Be Labeled?
(31:26) Why We Can't "Stop" AI
(35:37) Why AI-Driven Fraud Is Exploding
(41:39…
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#252 Jeffrey Hammond: How to Build Scalable GenAI Products (AWS Strategy)
9 mei 2025 · 54 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
Head to https://netsuite.com/EYEONAI to know more.
AWS partnered with Forrester Research to understand how software providers (ISVs), in particular, plan to drive profitable growth with generative AI, how they are uniquely approaching generative AI development, and the key challenges they're facing.
In this conversation with Jeffrey Hammond, Global ISV Product Strategist at AWS, he dives into the findings of the research and discusses how — particularly with AWS's help — ISVs can drive profitable growth and succeed in the gen AI gold rush.
Jeffrey helps software product management leaders leverage AWS cloud services to accelerate product delivery, create new revenue streams, reduce technical debt, and optimize operational costs.
You'll learn:
Why "toil reduction" is the fastest path to GenAI ROI
How AWS's GenAI Innovation Center helps companies cut costs and ship faster
What most ISVs get wrong about trust, security, and customer communication
The secret to scalable AI product pricing—and what Canva got right
Why agentic workflows and federated models are the next frontier in software
Whether you're building on AWS or just exploring GenAI adoption, this conversation is packed with frameworks, examples, and strategy.
Stay Updated:
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(00:00) The Future of Work with Generative AI
(03:20) Inside AWS: How Jeffrey Supports AI Innovation
(06:00) What the Forrester Survey Reveals About AI Adoption
(09:15) From Hype to Value: Building Real GenAI Use Cases
(13:45) How ISVs Are Reducing Toil and Driving Efficiency
(17:10) Balancing Innovation with Trust and Security
(22:00) AWS Programs That Help ISVs Win with AI
(28:00) GenAI Product Strategy: Accuracy, Cos…
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#251 Sid Sheth: How d-Matrix is Disrupting AI Inference in 2025
30 april 2025 · 55 min
This episode is sponsored by the DFINITY Foundation. Lees meer
DFINITY Foundation's mission is to develop and contribute technology that enables the Internet Computer (ICP) blockchain and its ecosystem, aiming to shift cloud computing into a fully decentralized state.
Find out more at https://internetcomputer.org/
In this episode of Eye on AI, we sit down with Sid Sheth, CEO and Co-Founder of d-Matrix, to explore how his company is revolutionizing AI inference hardware and taking on industry giants like NVIDIA.
Sid shares his journey from building multi-billion-dollar businesses in semiconductors to founding d-Matrix—a startup focused on generative AI inference, chiplet-based architecture, and ultra-low latency AI acceleration.
We break down:
Why the future of AI lies in inference, not training
How d-Matrix's Corsair PCIe accelerator outperforms NVIDIA's H200
The role of in-memory compute and high bandwidth memory in next-gen AI chips
How d-Matrix integrates seamlessly into hyperscaler and enterprise cloud environments
Why AI infrastructure is becoming heterogeneous and what that means for developers
The global outlook on inference chips—from the US to APAC and beyond
How Sid plans to build the next NVIDIA-level company from the ground up.
Whether you're building in AI infrastructure, investing in semiconductors, or just curious about the future of generative AI at scale, this episode is packed with value.
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(00:00) Intro
(02:46) Introducing Sid Sheth
(05:27) Why He Started d-Matrix
(07:28) Lessons from Building a $2.5B Chip Business
(11:52) How d-Matrix Prototypes New Chips
(15:06) Working with Hyperscalers Like Google & Amazon
(17:27) What's Inside the Corsair AI Accelerator
(21:12) How d-Matrix Beats NVIDIA on Chip Efficiency
(24:10) The Memory Bandwidth Advantage Explained
(26:27) Running Massive AI Models at High Speed
(30:20) Why Inference Isn't One-Si…
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#250 Pedro Domingos on the Real Path to AGI
24 april 2025 · 1 uur 8 min
This episode is sponsored by Thuma. Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details. Lees meer
To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai
Can AI Ever Reach AGI? Pedro Domingos Explains the Missing Link
In this episode of Eye on AI, renowned computer scientist and author of The Master Algorithm, Pedro Domingos, breaks down what's still missing in our race toward Artificial General Intelligence (AGI) — and why the path forward requires a radical unification of AI's five foundational paradigms: Symbolists, Connectionists, Bayesians, Evolutionaries, and Analogizers.
Topics covered:
Why deep learning alone won't achieve AGI
How reasoning by analogy could unlock true machine creativity
The role of evolutionary algorithms in building intelligent systems
Why transformers like GPT-4 are impressive—but incomplete
The danger of hype from tech leaders vs. the real science behind AGI
What the Master Algorithm truly means — and why we haven't found it yet
Pedro argues that creativity is easy, reliability is hard, and that reasoning by analogy — not just scaling LLMs — may be the key to Einstein-level breakthroughs in AI.
Whether you're an AI researcher, machine learning engineer, or just curious about the future of artificial intelligence, this is one of the most important conversations on how to actually reach AGI.
📚 About Pedro Domingos: Pedro is a professor at the University of Washington and author of the bestselling book The Master Algorithm, which explores how the unification of AI's "five tribes" could produce the ultimate learning algorithm.
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(00:00) The Five Tribes of AI Explained
(02:23) The Origins of The Master Algorithm
(08:22) Designing with Bit Strings: Radios, Robots & More
(10:46) Fitness Functions vs Reward Functions in AI
(15:5…
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#249 Brice Challamel: How Moderna is Using AI to Disrupt Modern Healthcare
20 april 2025 · 50 min
This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. Lees meer
On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today's innovative AI tech companies who upgraded to OCI…and saved.
Offer only for new US customers with a minimum financial commitment. See if you qualify for half off at http://oracle.com/eyeonai
In this episode of Eye on AI, Craig Smith sits down with Brice Challamel, Head of AI Products and Innovation at Moderna, to explore how one of the world's leading biotech companies is embedding artificial intelligence across every layer of its business—from drug discovery to regulatory approval.
Brice breaks down how Moderna treats AI not just as a tool, but as a utility—much like electricity or the internet—designed to empower every employee and drive innovation at scale. With over 1,800 GPTs in production and thousands of AI solutions running on internal platforms like Compute and MChat, Moderna is redefining what it means to be an AI-native company.
Key topics covered in this episode:
How Moderna operationalizes AI at scale
GenAI as the new interface for machine learning
AI's role in speeding up drug approvals and clinical trials
The future of personalized cancer treatment (INT)
Moderna's platform mindset: AI + mRNA = next-gen medicine
Collaborating with the FDA using AI-powered systems
Don't forget to like, comment, and subscribe for more interviews at the intersection of AI and innovation.
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(00:00) Preview
(02:49) Brice Challamel's Background and Role at Moderna
(05:51) Why AI Is Treated as a Utility at Moderna
(09:01) Moderna's AI Infrastructure
(11:53) GenAI vs Traditional ML
(14:59) Combining mRNA and AI as Dual Platforms
(18:15…
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#248 Pedro Domingos: How Connectionism Is Reshaping the Future of Machine Learning
17 april 2025 · 1 uur
This episode is sponsored by Indeed. Lees meer
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In this episode, renowned AI researcher Pedro Domingos, author of The Master Algorithm, takes us deep into the world of Connectionism—the AI tribe behind neural networks and the deep learning revolution.
From the birth of neural networks in the 1940s to the explosive rise of transformers and ChatGPT, Pedro unpacks the history, breakthroughs, and limitations of connectionist AI. Along the way, he explores how supervised learning continues to quietly power today's most impressive AI systems—and why reinforcement learning and unsupervised learning are still lagging behind.
We also dive into:
The tribal war between Connectionists and Symbolists
The surprising origins of Backpropagation
How transformers redefined machine translation
Why GANs and generative models exploded (and then faded)
The myth of modern reinforcement learning (DeepSeek, RLHF, etc.)
The danger of AI research narrowing too soon around one dominant approach
Whether you're an AI enthusiast, a machine learning practitioner, or just curious about where intelligence is headed, this episode offers a rare deep dive into the ideological foundations of AI—and what's coming next.
Don't forget to subscribe for more episodes on AI, data, and the future of tech.
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(00:00) What Are Generative Models?
(03:02) AI Progress and the Local Optimum Trap
(06:30) The Five Tribes of AI and Why They Matter
(09:07) The Rise of Connectionism
(11:14) Rosenblatt's Perceptron and the First AI Hype Cycle
(13:35) Backprop…
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#247 Barr Moses: Why Reliable Data is Key to Building Good AI Systems
13 april 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 Eye on AI, Craig Smith sits down with Barr Moses, Co-Founder & CEO of Monte Carlo, the pioneer of data and AI observability. Together, they explore the hidden force behind every great AI system: reliable, trustworthy data.
With AI adoption soaring across industries, companies now face a critical question: Can we trust the data feeding our models? Barr unpacks why data quality is more important than ever, how observability helps detect and resolve data issues, and why clean data—not access to GPT or Claude—is the real competitive moat in AI today.
What You'll Learn in This Episode:
Why access to AI models is no longer a competitive advantage
How Monte Carlo helps teams monitor complex data estates in real-time
The dangers of "data hallucinations" and how to prevent them
Real-world examples of data failures and their impact on AI outputs
The difference between data observability and explainability
Why legacy methods of data review no longer work in an AI-first world
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(00:00) Intro
(01:08) How Monte Carlo Fixed Broken Data
(03:08) What Is Data & AI Observability?
(05:00) Structured vs Unstructured Data Monitoring
(08:48) How Monte Carlo Integrates Across Data Stacks
(13:35) Why Clean Data Is the New Competitive Advantage
(16:57) How Monte Carlo Uses AI Internally
(19:20) 4 Failure Points: Data, Systems, Code, Models
(23:08) Can Observability Detect Bias in Data?
(26:15) Why Data Quality Needs a Modern Definition
(29:22) Explosion of Data Tools & Monte Carlo's 50+ Integrations
(33:18) Data Observability vs Explainability
(36:18) Human Evaluation vs Automated Moni…
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#246 Will Granis: How Google Cloud is Powering the Future of Agentic AI
9 april 2025 · 58 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
What happens when AI agents start negotiating, automating workflows, and rewriting how the enterprise world operates?
In this episode of the Eye on AI podcast, Will Grannis, CTO of Google Cloud, reveals how Google is leading the charge into the next frontier of artificial intelligence: agentic AI. From multi-agent systems that can file your expenses to futuristic R2-D2-style assistants in real-time race strategy, this episode dives deep into how AI is no longer just about models—it's about autonomous action.
In this episode, we explore:
How AgentSpace is transforming how enterprises build AI agents
The evolution from rule-based workflows to intelligent orchestration
Real-world use cases: expense automation, content creation, code generation
Trust, sovereignty, and securing agentic systems at scale
The future of multi-agent ecosystems and AI-driven scientific discovery
How large enterprises can match startup agility using their data advantage
Whether you're a founder, engineer, or enterprise leader—this episode will shift how you think about deploying AI in the real world.
Subscribe for more deep dives with tech leaders and AI visionaries.
Drop a comment with your thoughts on where agentic AI is headed!
(00:00) Preview and Intro
(02:34) Will Grannis' Role at Google Cloud
(05:14) Origins of Agentic Workflows at Google
(09:10) How Generative AI Changed the Agent Game
(12:29) Agents, Tool Access & Trust Infrastructure
(14:01) What is Agent Space?
(16:30) Creative & Marketing Agents in Action
(23:29) Core Components of Building Agents
(25:29) Introducing the Agent Garden
(28:06) The "Cloud of Connected Agents" Concept
(33:53) Solving Agent Quality & Self-Evaluation
(37:19) The Future of A…
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#245 Rajat Taneja: Visa's President of Technology Reveals Their $3.3 Billion AI Strategy
3 april 2025 · 25 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
Visa's President of Technology, Rajat Taneja, pulls back the curtain on the $3.3 billion AI transformation powering one of the world's most trusted financial networks.
In this episode, Taneja shares how Visa—a company processing over $16 trillion annually across 300 billion real-time transactions—is leveraging AI not just to stop fraud, but to redefine the future of commerce.
From deep neural networks trained on decades of transaction data to generative AI tools powering next-gen agentic systems, Visa has quietly been an AI-first company since the 1990s. Now, with 500+ petabytes of data and 2,900 open APIs, it's preparing for a future where agents, biometrics, and behavioral signals shape every interaction.
Taneja also reveals how Visa's models can mimic bank decisions in milliseconds, stop enumeration attacks, and even detect fraud based on how you type. This is AI at global scale—with zero room for error.
What You'll Learn in This Episode:
How Visa's $3.3B data platform powers 24/7 AI-driven decisioning
The fraud models behind stopping $40 billion in criminal transactions
What "agentic commerce" means—and why Visa is betting big on it
How Visa uses behavioral biometrics to detect account takeovers
Why Visa rebuilt its infrastructure for the AI era—10 years ahead of the curve
The role of generative AI, biometric identity, and APIs in the next wave of payments
The future of commerce isn't just cashless—it's intelligent, autonomous, and trust-driven.
If you're curious about how AI is redefining payments, security, and digital identity at massive scale, this episode is essential viewing.
Subscribe for more deep dives into the future of AI, commerce, and innovation.
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#244 Yoav Shoham on Jamba Models, Maestro and The Future of Enterprise AI
27 maart 2025 · 52 min
This episode is sponsored by the DFINITY Foundation. Lees meer
DFINITY Foundation's mission is to develop and contribute technology that enables the Internet Computer (ICP) blockchain and its ecosystem, aiming to shift cloud computing into a fully decentralized state.
Find out more at https://internetcomputer.org/
In this episode of Eye on AI, Yoav Shoham, co-founder of AI21 Labs, shares his insights on the evolution of AI, touching on key advancements such as Jamba and Maestro. From the early days of his career to the latest developments in AI systems, Yoav offers a comprehensive look into the future of artificial intelligence.
Yoav opens up about his journey in AI, beginning with his academic roots in game theory and logic, followed by his entrepreneurial ventures that led to the creation of AI21 Labs. He explains the founding of AI21 Labs and the company's mission to combine traditional AI approaches with modern deep learning methods, leading to innovations like Jamba—a highly efficient hybrid AI model that's disrupting the traditional transformer architecture.
He also introduces Maestro, AI21's orchestrator that works with multiple large language models (LLMs) and AI tools to create more reliable, predictable, and efficient systems for enterprises. Yoav discusses how Maestro is tackling real-world challenges in enterprise AI, moving beyond flashy demos to practical, scalable solutions.
Throughout the conversation, Yoav emphasizes the limitations of current large language models (LLMs), even those with reasoning capabilities, and explains how AI systems, rather than just pure language models, are becoming the future of AI. He also delves into the philosophical side of AI, discussing whether models truly "understand" and what that means for the future of artificial intelligence.
Whether you're deeply invested in AI research or curious about its applications in business, this episode is filled with valuable insights into the current and future landscape of artificial…
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#243 Greg Osuri: Why the Future of AI Depends on Decentralized Cloud Platforms
18 maart 2025 · 59 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.
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Greg Osuri's Vision for Decentralized Cloud Computing | The Future of AI & Web3 Infrastructure
The cloud is broken—can decentralization fix it? In this episode, Greg Osuri, founder of Akash Network, shares his groundbreaking approach to decentralized cloud computing and how it's disrupting hyperscalers like AWS, Google Cloud, and Microsoft Azure.
Discover how Akash Network's peer-to-peer marketplace is slashing cloud costs, unlocking unused compute power, and paving the way for AI-driven infrastructure without Big Tech's control.
What You'll Learn in This Episode:
- Why AI training is hitting an energy bottleneck and how decentralization solves it
- How Akash Network creates a global marketplace for underutilized compute power
- The role of blockchain in securing cloud resources and enforcing smart contracts
- The privacy risks of hyperscalers—and why sovereign AI in the home is the future
- How Akash Network is evolving from a resource marketplace to a full-fledged services economy
- The future of AI, energy-efficient cloud solutions, and decentralized infrastructureThe battle for the future of cloud computing is on—and decentralization is winning. If you're interested in AI, blockchain, Web3, or the economics of cloud infrastructure, this episode is a must-watch!
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Eye on A.I. Twitter: https://twitter.com/EyeOn_AI(00:00) Introduction & The Biggest Challenges in AI Training
(02:36) Greg Osuri's Background
(04:50) The Problem with AWS, Google Cloud & Traditional Cloud Providers
(06:40) How To Us… -
#242 Dylan Arena: The AI Education Revolution: How AI is Changing the Way We Learn
13 maart 2025 · 58 min
This episode is brought to you by Extreme Networks, the company radically improving customer experiences with AI-powered automation for networking. Extreme is driving the convergence of AI, networking, and security to transform the way businesses connect and protect their networks, delivering faster performance, stronger security, and a seamless user experience. Lees meer
Visit extremenetworks.com to learn more.
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The Role of AI in Education | Dylan Arena on Learning, AI Tutoring & The Future of Teaching How can AI enhance education without replacing the human touch?
In this episode, Dylan Arena, Chief Data Science and AI Officer at McGraw Hill, shares his insights on the intersection of AI and learning. Dylan's background in learning sciences and technology design has shaped his approach to AI-powered tools that help students and teachers—not replace them.
He discusses how AI can augment human relationships in education, improve personalized learning, and assist teachers with real-time insights while avoiding the pitfalls of over-reliance on automation.
With AI playing an increasingly central role in education, are we at risk of losing the essential human connections that define great learning experiences?
What You'll Learn in This Episode:
- Why AI should be used to enhance not replace teachers
- The risks and rewards of AI-powered tutoring
- How AI-driven assessments can improve personalized learning
- Why AI chatbots in education need careful ethical considerations
- The future of gamification and AI-driven engagement in classrooms
- How McGraw Hill is integrating AI into its learning platformsIf you care about the future of education, AI, and ethical tech development, this episode is a must-watch.
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This episode is sponsored by Oracle.
Oracle Cloud Infrastructure (OCI) is a blazing-fast and secure platform for your infrastructure, database, application development, plus all your AI…
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#241 Patrick M. Pilarski: The Alberta Plan's Roadmap to AI and AGI
8 maart 2025 · 1 uur 2 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.
Can AI learn like humans? In this episode, Patrick Pilarski, Canada CIFAR AI Chair and professor at the University of Alberta, breaks down The Alberta Plan—a bold roadmap for achieving Artificial General Intelligence (AGI) through reinforcement learning and real-time experience-based AI.
Unlike large pre-trained models that rely on massive datasets, The Alberta Plan champions continual learning, where AI evolves from raw sensory experience, much like a child learning through trial and error. Could this be the key to unlocking true intelligence?
Pilarski also shares insights from his groundbreaking work in bionic medicine, where AI-powered prosthetics are transforming human-machine interaction. From neuroprostheses to reinforcement learning-driven robotics, this conversation explores how AI can enhance—not just replace—human intelligence.
What You'll Learn in This Episode:
Why reinforcement learning is a better path to AGI than pre-trained models
The four core principles of The Alberta Plan and why they matter
How AI-driven bionic prosthetics are revolutionizing human-machine integration
The battle between reinforcement learning and traditional control systems in robotics
Why continual learning is critical for AI to avoid catastrophic forgetting
How reinforcement learning is already powering real-world breakthroughs in plasma control, industrial automation, and beyond
The future of AI isn't just about more data—it's about AI that thinks, adapts, and learns from experience.
If you're curious about the next frontier of AI, the rise of reinforcement learning, and the quest for true intelligence, this episode is a must-watch.
Subscribe for more AI deep dives!
(00:00) The Alberta Plan:…