Alle afleveringen
300 afleveringen, van nieuw naar oud
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#287 Self-Service Generative AI Product Development at Credit Karma with Madelaine Daianu, Head of Data & AI at Credit Karma
27 februari 2025 · 48 min
As businesses collect more data than ever, the question arises: is bigger always better? Companies are beginning to question whether massive datasets and complex infrastructures are truly delivering results or just adding unnecessary costs. How can you align your data strategy with your actual needs? Could focusing on smaller, more manageable datasets improve efficiency and save resources while still delivering valuable insights? Lees meer
Dr. Madelaine Daianu is the Head of Data & AI at Credit Karma, Inc. Before joining the company in June 2023, she served as Head of Data and Pricing at Belong Home, Inc. Earlier in her career, Daianu has held numerous senior roles in data science and machine learning at The RealReal, Facebook, and Intuit. Daianu earned a Bachelor of Applied Science in Bioengineering and Mathematics from the University of Illinois at Chicago and a Ph.D. in Bioengineering and Biomedical Engineering from the University of California, Los Angeles.
In the episode, Richie and Madelaine explore generative AI applications at Credit Karma, the importance of data infrastructure, the role of explainability in fintech, strategies for scaling AI processes, and much more.
Links Mentioned in the Show:
Credit Karma
Connect with Maddie
Skill Track: AI Business Fundamentals
Related Episode: Effective Product Management for AI with Marily Nika, Gen AI Product Lead at Google Assistant
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#286 Data Science Trends from 2 Kaggle Grandmasters with Jean-Francois Puget, Distinguished Engineer at NVIDIA & Chris Deotte, Senior Data Scientist at NVIDIA
24 februari 2025 · 45 min
With AI agents and GPU acceleration at the forefront, data science is entering a new era of efficiency and innovation. How are AI copilots transforming the way data scientists code and solve problems? Are they a reliable partner or a source of new complexities? On the other hand, the move to GPU-accelerated data science tools is revolutionizing model training and experimentation. What does this mean for the future of data science workflows? Explore these cutting-edge developments and their impact on the industry. Lees meer
Jean-Francois got a PhD in machine learning in the previous millennium. Given the AI winter at the time, he worked for a while on mathematical optimization software as dev manager for CPLEX in a startup. He came back to Machine Learning when IBM acquired the startup. Since then he discovered Kaggle and became one of the best Kagglers in the world. He joined NVIDIA 5 years ago and leads the NVIDIA Kaggle Grandmaster team there.
Chris Deotte is a senior data scientist at NVIDIA. Chris has a Ph.D. in computational science and mathematics with a thesis on optimizing parallel processing. Chris is a Kaggle 4x grandmaster.
In the episode, Richie, Jean-Francois, and Chris explore the transformative role of AI agents in data science, the impact of GPU acceleration on workflows, the evolution of competitive data science techniques, the importance of model evaluation and communication skills, and the future of data science roles in an AI-driven world, and much more.
Links Mentioned in the Show:
NVIDIA
NVIDIA Rapids
Few shot learning
Connect with Jean-Francois on Linkedin and Kaggle and check out Chris on Kaggle
Course: Winning a Kaggle Competition in Python
Related Episode: Becoming a Kaggle Grandmaster
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#285 Building an Analytics Production Line with Lee Feinberg, CEO at DecisionViz
20 februari 2025 · 56 min
Dashboards are everywhere in the data industry, but are they being used effectively? Many professionals find themselves creating dashboards that end up underutilized or misunderstood. The key is not just in the data presented, but in how it's communicated and used. How can you rethink your approach to dashboarding to ensure it aligns with business goals? What methods can you employ to engage users and drive meaningful actions? Lees meer
Lee is the President at DecisionViz, who provides training and consulting to organizations to improve their people, process, and culture around visualization and storytelling. He's a course creator for the University of Chicago, an instructor for TDWI, and an Adjunct Faculty Instructor for NYU School of Professional Studies. Lee is also a Tableau Certified Associate Consultant, 4 times Tableau Ambassador, and a long-term Tableau Partner. Previously, he was a Research Advisor for the International Institute of Analytics, the Founder of the 501c data community, and a senior manager at Nokia.
In the episode, Richie and Lee explore the limitations of traditional dashboards, the importance of a product mindset in data visualization, the role of communication and standardization in analytics, the intersection of AI with dashboarding, and much more.
Links Mentioned in the Show:
DecisionViz
Connect with Lee
Course: Understanding Data Visualization
Related Episode: Data Storytelling and Visualization with Lea Pica from Present Beyond Measure
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Industry Roundup #3: The Rise of Reasoning LLMs, OpenAI Operator, Project Stargate, and Gemini’s Struggle for Recognition
19 februari 2025 · 30 min
Welcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we discuss the rise of reasoning LLMs like DeepSeek R1 and the competition shaping the AI space, OpenAI’s Operator and the broader push for AI agents to control computers, and the implications of massive AI infrastructure investments like Project Stargate. We also touch on Google’s overlooked AI advancements, the challenges of AI adoption, the potential of Replit’s mobile app for building apps with natural language, and much more. Lees meer
Links Mentioned in the Show:
YouTube Tutorial: Fine Tune DeepSeek R1 | Build a Medical Chatbot
OpenAI Deep Research
Open Operator
Gemini 2.0
Lex Fridman Podcast Episode on DeepSeek
Removing Barriers to American Leadership in Artificial Intelligence
President's Council of Advisors on Science and Technology
Project Stargate announcements from OpenAI, Softbank
Sam Altman's quest for $7tn
Replit Mobile App
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#284 How Optimization Powers Decision Intelligence with Duke Perrucci & Ed Klotz, CEO and Senior Mathematical Optimization Specialist at Gurobi Optimization
17 februari 2025 · 45 min
Optimization and decision intelligence are reshaping industries, from logistics to finance. But what does this mean for professionals navigating daily challenges? Whether you're scheduling employees or managing power grids, finding the optimal solution can mean the difference between success and failure. How do you leverage optimization to make smarter, data-driven decisions? And how do you ensure these solutions are embraced by your team? Join us as we delve into the practical applications of optimization in the workplace. Lees meer
Duke Perrucci is the CEO at Gurobi Optimization. Prior to being appointed CEO, Duke served as CRO and COO since 2018. Perrucci has over 25 years of experience in sales, marketing, and analytics roles. Before joining Gurobi, he served at Cambridge Analytica, FocusVision, and Unilever. He also spent nine years with Information Resources, Inc., where he worked across the entire PepsiCo enterprise.
Dr. Ed Klotz is a Senior Mathematical Optimization Specialist at Gurobi Optimization. Klotz has over 30 years of experience in the mathematical optimization software industry. He is a technical expert who has helped customers solve some of the world’s most challenging mathematical optimization problems. Dr. Klotz works closely with Gurobi's customers to support them in implementing and utilizing mathematical optimization in their organizations. He also interacts heavily with the R&D team based on his experiences with the customers.
In the episode, Richie, Duke, and Ed explore decision intelligence, optimization in various industries, the synergy between optimization and machine learning, overcoming challenges in model building, the role of large language models in democratizing optimization, and much more.
Links Mentioned in the Show:
Gurobi Optimization
Connect with Duke and Ed
Skill Track: Artificial Intelligence (AI) Leadership
Related Episode: Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision Scientist…
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#283 Data Storytelling With High ROI: How to Create Great Thought Leadership with Cindy Anderson & Anthony Marshall, CMO and Senior Research Director at IBM
13 februari 2025 · 38 min
Thought leadership is more than just a buzzword—it's a strategic tool that can significantly influence business decisions and relationships. But what makes thought leadership effective? How do you ensure your insights are not only heard but also trusted and acted upon? What role does generative AI play in enhancing the storytelling process, and how can it be leveraged to create compelling narratives that resonate with your audience? Lees meer
Cindy Anderson is the Chief Marketing Officer/Global Lead for Engagement & Eminence at the IBM Institute for Business Value (IBV). She has co-authored research reports, published numerous articles, and delivered presentations on thought leadership, diversity, strategy implementation, project management, and technology to global audiences. She oversees a team of 30 editors, designers, and social media/email marketers. She is a founding board member of the Global Thought Leadership Institute at APQC, a new association that advances the practice of thought leadership.
Anthony Marshall is the Chair of the Board of Advisors for The Global Thought Leadership Institute at APQC and the Senior Research Director of thought leadership at the IBM Institute for Business Value (IBV), leading the top-rated thought leadership and analysis program. He oversees a global team of 60 technology and industry experts, statisticians, economists, and analysts. Anthony conducts original thought leadership and has authored dozens of refereed articles and studies on topics including generative AI, innovation, digital and business transformation and ecosystems, open collaboration and skills.
In the episode, Richie, Cindy, and Anthony explore the framework for thought leadership storytelling, the role of generative AI in thought leadership, the ROI of thought leadership, building trust and quality in research, and much more.
Links Mentioned in the Show:
The ROI of Thought Leadership book by Cindy and Anthony
APQC
Connect with Cindy and Anthony
Skill Track: A…
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#282 Navigating the Challenges of Product Integrations with Gil Feig, Co-Founder and CTO of Merge
10 februari 2025 · 28 min
As the software landscape becomes more fragmented, the importance of product integrations continues to rise. For those working in data and engineering roles, this presents both challenges and opportunities. How do you efficiently manage and scale integrations across diverse systems? What tools and strategies can help you maintain data integrity and streamline workflows? And how can you ensure that your integration strategy aligns with broader business goals and customer expectations? Lees meer
Gil Feig is the Co-Founder and CTO of Merge, the leading unified API platform. Previously, Gil was the Head of Engineering at Untapped and worked as a software engineer at Wealthfront and LinkedIn. A graduate of Columbia University, he lives and works in New York City.
In the episode, Richie and Gil explore the complexities of product integrations, the evolution of software ecosystems, the challenges of scaling integrations, the role of data engineers, the impact on business operations, and the future of integration technology, and much more.
Links Mentioned in the Show:
Merge
Connect with Gil
Course: Implementing AI Solutions in Business
Related Episode: Building Multi-Modal AI Applications with Russ d'Sa, CEO & Co-founder of LiveKit
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#281 Developing AI Products That Impact Your Business with Venky Veeraraghavan, Chief Product Officer at DataRobot
6 februari 2025 · 39 min
As AI continues to dominate industry conversations, the notion of AI readiness becomes a focal point for organizations. It's a multifaceted challenge that goes beyond technology, encompassing business processes and cultural shifts. For professionals, this means grappling with questions like: How do you choose the right AI projects that align with business goals? What skills and team structures are necessary to support AI initiatives? And how do you manage the change that comes with integrating AI into your operations? Lees meer
Venky Veeraraghavan is the Chief Product Officer at DataRobot. As CPO, Venky drives the definition and delivery of the DataRobot Enterprise AI Suite. Venky has twenty-five years of experience focusing on big data and AI as a product leader and technical consultant at top technology companies (Microsoft) and early-stage startups (Trilogy).
In the episode, Richie and Venky Veeraraghavan explore AI readiness in organizations, the importance of aligning AI with business processes, the roles and skills needed for AI integration, the balance between building and buying AI solutions, the challenges of implementing AI-driven changes, and much more.
Links Mentioned in the Show:
Datarobot
Connect with Venky
Skill Track: Artificial Intelligence (AI) Leadership
Related Episode: Aligning AI with Enterprise Strategy with Leon Gordon, CEO at Onyx Data
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#280 Can We Create A Universal AI Employee? with Surojit Chatterjee, CEO of Ema
3 februari 2025 · 39 min
The rise of AI agents in the workplace is transforming how businesses operate, tackling repetitive tasks and freeing up human employees for more creative endeavors. But what does this mean for the future of work, and how can professionals leverage these tools effectively? As AI agents become more sophisticated, capable of reasoning and decision-making, how do you ensure they align with your business goals? What are the implications for data privacy and security, and how do you manage the transition to a more automated workforce while maintaining human oversight? Lees meer
Surojit Chatterjee is the founder and CEO of Ema. Previously, he guided Coinbase through a successful 2021 IPO as its Chief Product Officer and scaled Google Mobile Ads and Google Shopping into multi-billion dollar businesses as the VP and Head of Product. Surojit holds 40 US patents and has an MBA from MIT, MS in Computer Science from SUNY at Buffalo, and B. Tech from IIT Kharagpur.
In the episode, Richie and Surojit explore the transformative role of AI agents in automating repetitive business tasks, enhancing creativity and innovation, improving customer support, and redefining workplace efficiency. They discuss the potential of AI employees, data privacy concerns, and the future of AI-driven business processes, and much more.
Links Mentioned in the Show:
Ema
Connect with Surojit
Skill Track: Artificial Intelligence (AI) Leadership
Related Episode: How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Research Institute
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#279 Customer Strategy in the Age of AI with David Edelman, Harvard Business School Fellow, Executive Advisor with BCG
30 januari 2025 · 48 min
Personalization is more than a buzzword—it's a powerful tool for businesses to connect with customers on a deeper level. As data and AI technologies evolve, the ability to deliver personalized experiences becomes more accessible. But what does this mean for professionals tasked with implementing these strategies? How do you ensure that personalization efforts are both effective and respectful of customer privacy? Lees meer
David Edelman is a Digital and Marketing Transformation Executive Advisor, working with executives on digital and marketing transformation. He has been working in marketing and personalization since the '80s. In addition to his consultancy business, David is an Executive Teaching Fellow at Harvard Business School and a board member for several organizations. Previously, David was Chief Marketing Officer at Aetna, and a Partner at McKinsey. Forbes has repeatedly named him one of the Top 20 Most Influential Voices in Marketing, and Ad Age has named him a Top 20 Chief Marketing and Technology Officer. He is a co-author of "Personalized: Customer Strategy in the Age of AI".
In this episode, Richie and David explore the power of personalization in customer experiences, the importance of understanding customer data, strategies for effective personalization, the role of AI in enhancing customer interactions, and much more.
Links Mentioned in the Show:
Personalized: Customer Strategy in the Age of AI
Connect with David
Skill Track: Artificial Intelligence (AI) Leadership
Related Episode: Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYU
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#278 Building Multi-Modal AI Applications with Russ d'Sa, CEO & Co-founder of LiveKit
27 januari 2025 · 47 min
As multimodal AI continues to grow, professionals are exploring new skills to harness its potential. From understanding real-time APIs to navigating new application architectures, the landscape is shifting. How can developers stay ahead in this evolving field? What opportunities do AI agents present for automating tasks and enhancing productivity? And how can businesses ensure they're ready for the future of AI-driven interactions? Lees meer
Russ D'Sa is the CEO & Co-founder at Livekit. Russ is building the transport layer for AI computing. He founded Livekit, the company that powers voice chat for OpenAI and Character.ai. Previously, he was a Product Manager at Medium and an engineer at Twitter. He's also a serial entrepreneur, having previously founded mobile search platform Evie Labs.
In the episode, Richie and Russ explore the evolution of voice AI, the challenges of building voice applications, the rise of video AI, the implications of deep fakes, the potential of AI-generated worlds, the future of AI in customer service and education, and much more.
Links Mentioned in the Show:
LiveKit
ChatGPT Voice
Course: Developing LLM Applications with LangChain
Related Episode: Creating High Quality AI Applications with Theresa Parker & Sudhi Balan, Rocket Software
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#277 How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Upwork Research Institute
23 januari 2025 · 48 min
Leadership is facing unprecedented challenges in today's socio-political and economic climate. As the lines between work and personal life blur, professionals are seeking workplaces that prioritize humanity and purpose. How can leaders create environments that support employee well-being and connection? With AI's growing presence, how do we balance technological integration with maintaining a human-centered approach? Lees meer
Dr. Christie Smith is a renowned leadership expert, visionary thinker, and founder of The Humanity Studio, a pioneering research and advisory institute dedicated to improving the way we live by revolutionizing the way we work. With over 35 years of experience advising Fortune 500 companies and holding global leadership roles at Accenture, Apple, and Deloitte, Dr. Smith has shaped the future of leadership, talent strategy, and organizational culture across industries.
Dr. Kelly Monahan is Managing Director of the Upwork Research Institute, leading their future of work research program. Her research has been recognized and published in both applied and academic journals, including MIT Sloan Management Review and the Journal of Strategic Management. In 2018, Kelly released her first book, “How Behavioral Economics Influences Management Decision-Making: A New Paradigm” (Academic Press/Elsevier Publishers). In 2019, Kelly gave her first TedX talk on the future of work. Kelly is frequently quoted in the media on talent decision-making and the future of work. She also has written over a dozen publications and is a sought-after speaker on how to apply new management and talent models in knowledge-based organizations. Kelly holds a B.S. from Rochester Institute of Technology, an M.S. from Roberts Wesleyan College, and a Ph.D. in Organizational Leadership from Regent University.
In the episode, Richie, Christie, and Kelly explore leadership transformations driven by crises, the rise of human-centered workplaces, the integration of AI with human intelligence, …
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#276 Why Getting AI Ethics Right Really Matters with Christopher DiCarlo, Professor at University of Toronto, Senior Researcher and Ethicist at Convergence Analysis
20 januari 2025 · 49 min
As AI advances at breakneck speed, the conversation around its potential risks and ethical implications grows louder. For professionals in the field, this raises important questions about responsibility and foresight. How do you ensure that AI systems align with human values? What role do ethics play in the development and deployment of these technologies? Let's delve into the pressing issues that could define the future of AI and its role in society. Lees meer
Dr. Christopher DiCarlo is a philosopher, educator, and author. He teaches philosophy at the University of Toronto. He also founded Critical Thinking Solutions, a business consultancy, is an Expert Advisor for the Centre for Inquiry Canada, and the Ethics Chair for the Canadian Mental Health Association. His academic work focuses on bioethics and cognitive evolution. He is the author of six books, including the bestselling "How to Become a Really Good Pain in the Ass: A Critical Thinker's Guide to Asking the Right Questions", and his latest "Building a God: The Ethics of Artificial Intelligence and the Race to Control It".
In the episode, Richie and Christopher explore the existential risks of powerful AI, ethical considerations in AI development, the importance of public awareness and involvement, the role of international regulation, and much more.
Links Mentioned in the Show:
Critical Thinking Solutions
Connect with Christopher
Course: AI Ethics
Related Episode: Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYU
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#275 Did Gen AI Kill NLP? with Meri Nova, Technical Founder at Break into Data
16 januari 2025 · 40 min
As AI continues to advance, natural language processing (NLP) is at the forefront, transforming how businesses interact with data. From chatbots to document analysis, NLP offers numerous applications. But with the advent of generative AI, professionals face new challenges: When is it appropriate to use traditional NLP techniques versus more advanced models? How do you balance the costs and benefits of these technologies? Explore the strategic decisions and practical applications of NLP in the modern business world. Lees meer
Meri Nova is the founder of Break Into Data, a data careers company. Her work focuses on helping people switch to a career in data, and using machine learning to improve community engagement. Previously, she was a data scientist and machine learning engineer at Hyloc. Meri is the instructor of DataCamp's 'Retrieval Augmented Generation with LangChain' course.
In the episode, Richie and Meri explore the evolution of natural language processing, the impact of generative AI on business applications, the balance between traditional NLP techniques and modern LLMs, the role of vector stores and knowledge graphs, and the exciting potential of AI in automating tasks and decision-making, and much more.
Links Mentioned in the Show:
Meri’s Breaking Into Data Handbook on GitHub
Break Into Data Discord Group
Connect with Meri
Skill Track: Artificial Intelligence (AI) Leadership
Related Episode: Industry Roundup #2: AI Agents for Data Work, The Return of the Full-Stack Data Scientist and Old languages Make a Comeback
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#274 Data Trends & Predictions 2025 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn Theuwissen
13 januari 2025 · 45 min
2025 promises to be another transformative year for data and AI. From groundbreaking advancements in reasoning models to the rise of new challengers in generative AI, the field shows no signs of slowing down. Last week Jonathan and Martijn scored their 2024 predictions, and scored highly, but what's in store for 2025? Lees meer
Building on the insights from their 2024 predictions, we'll assess the future of generative AI, the evolving role of AI in education, the growing importance of synthetic data, and much more.
In the episode, Richie, Jo, and Martijn discuss whether OpenAI and Google will maintain their dominance or face disruption from new players like Meta’s Llama and XAI’s Grok, the implications of recent breakthroughs in AI reasoning, the rise of short-form video generation AI in social media and advertising, the challenges Europe faces in keeping pace with the US and China in AI innovation and much more.
Links Mentioned in the Show:
Data & AI Trends & Predictions 2025
Skill Track: AI Business Fundamentals
Related Episode: Reviewing Our Data Trends & Predictions of 2024 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn Theuwissen
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#273 Reviewing Our Data Trends & Predictions of 2024 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn Theuwissen
9 januari 2025 · 32 min
2024 was another huge year for data and AI. Generative AI continued to shape the way we work and interact with technology, with companies of all sizes racing to integrate AI into their products. We saw strides in tools like AI-enhanced data science notebooks, rapid adoption of generative image AI, and a steady march toward video generation AI. At the same time, foundational skills like AI literacy and data governance gained traction as critical areas for individuals and organizations to master. Lees meer
This time last year, DataCamp Co-Founders Jonathan and Martijn made a series of predictions and data and AI for 2024, today, they join Richie to reflect on their 2024 predictions and share their vision for data and AI in 2025.
In the episode, Richie, Jonathan, and Martijn review the mainstream adoption of generative AI and its journey toward daily use, the rise of AI literacy as a critical skill, the growing overlap between data science and software engineering with the emergence of AI engineers, evolving trends in programming languages, how generative AI has moved from prototype to production, the near-mainstreaming of video generation AI, why AI hype continues to thrive and much more.
Links Mentioned in the Show:
Data & AI Trends & Predictions 2025
Skill Track: AI Business Fundamentals
Related Episode: Data Trends & Predictions 2024 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn Theuwissen
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#272 The Unreasonable Effectiveness of AI in Software Development with Eran Yahav, CTO of Tabnine
6 januari 2025 · 42 min
AI is not just about writing code; it's about improving the entire software development process. From generating documentation to automating code reviews, AI tools are becoming indispensable. But how do you ensure the quality of AI-generated code? What strategies can you employ to maintain high standards while leveraging AI's capabilities? These are the questions developers must consider as they incorporate AI into their workflows. Lees meer
Eran Yahav is an associate professor at the Computer Science Department at the Technion – Israel Institute of Technology and co-founder and CTO of Tabnine (formerly Codota). Prior to that, he was a research staff member at the IBM T.J. Watson Research Center in New York (2004-2010). He received his Ph.D. from Tel Aviv University (2005) and his B.Sc. from the Technion in 1996. His research interests include program analysis, program synthesis, and program verification. Eran is a recipient of the prestigious Alon Fellowship for Outstanding Young Researchers, the Andre Deloro Career Advancement Chair in Engineering, the 2020 Robin Milner Young Researcher Award (POPL talk here), the ERC Consolidator Grant as well as multiple best paper awards at various conferences.
In the episode, Richie and Eran explore AI's role in software development, the balance between AI assistance and manual coding, the impact of generative AI on code review and documentation, the evolution of developer tools, and the future of AI-driven workflows, and much more.
Links Mentioned in the Show:
Tabnine
Connect with Eran
Course: Working with the OpenAI API
Related Episode: Getting Generative AI Into Production with Lin Qiao, CEO and Co-Founder of Fireworks AI
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#271 Creating High Quality AI Applications with Theresa Parker & Sudhi Balan, Rocket Software
2 januari 2025 · 51 min
AI features and products are the hottest area of software development. Creating high quality AI software is both essential and challenging for many businesses. In this episode, we look at retrieval augmented generation, an important technique for improving text generation quality in AI applications. Beyond technical measures, we look at the broader quality problem for AI applications. How do you ensure your AI applications are effective and secure? What steps should you take to integrate AI into your existing data governance frameworks? And how do you measure the success of these AI-driven solutions? Lees meer
Theresa Parker is the Director of Product Management at Rocket Software. She has 25 years of experience as a technology executive with a focus on software development processes, consultancy, and business development. Her recent work in content management focuses on the use of AI and RAG to improve content discoverability.
Sudhi Balan is the Chief Technology Officer for AI & Cloud. He leads the AI and data teams for data modernization, driving AI adoption of Rocket's structured and unstructured data products. He also shapes AI strategy for Rocket’s infrastructure and app portfolio. He has earned patents for safe and scalable applications of transformational technology. Previously, he led digital transformation and hybrid cloud strategy for Rocket’s unstructured data business and was Senior Director of Product Development at ASG.
In the episode, Richie, Theresa, and Sudhi explore retrieval-augmented generation, its applications in customer support and loan processing, the importance of data governance and privacy, the role of testing and guardrails in AI, cost management strategies, and the potential of AI to transform customer experiences, and much more.
Links Mentioned in the Show:
Rocket Software
Connect with Theresa and Sudhi
Course: Retrieval Augmented Generation (RAG) with LangChain
Related Episode: Getting Generative AI Into Production with Lin Qiao, CEO a…
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Best of 2024: Data & AI Trends in 2024, with Tom Tunguz, General Partner at Theory Ventures
30 december 2024 · 39 min
As we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy! Lees meer
The four guests we'll be recapping with are:
Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover the full picture of data presentation, how to understand your audience, how to leverage hollywood storytelling and more. Out December 19.
Alex Banks - Founder of Sunday Signal. Adel and Alex cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and more. Out December 23.
Don Chamberlin - The renowned co-inventor of SQL. Richie and Don explore the early development of SQL, how it became standardized, the future of SQL through NoSQL and SQL++ and more. Out December 26.
Tom Tunguz - general Partner at Theory Ventures, a $235m VC firm. Richie and Tom explore trends in generative AI, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, AI in the corporate sector and more. Out December 30.
Rapid change seems to be the new norm within the data and AI space, and due to the ecosystem constantly changing, it can be tricky to keep up. Fortunately, any self-respecting venture capitalist looking into data and AI will stay on top of what’s changing and where the next big breakthroughs are likely to come from. We all want to know which important trends are emerging and how we can take advantage of them, so why not learn from a leading VC.
Tomasz Tunguz is a General Partner at Theory Ventures, a $235m early-stage venture capital firm. He blogs sat tomtunguz.com & co-authored Winning with Data. He has worked or works with Looker, Kustomer, Monte Carlo, Dremio, Omni, Hex, Spot, Arbitrum, Sui & many others.
He was previously the product manager for Google's social media monetization team, including the Google-MySpace partnershi…
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Best of 2024: 50 Years of SQL with Don Chamberlin, Computer Scientist and Co-Inventor of SQL
26 december 2024 · 37 min
As we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy! Lees meer
The four guests we'll be recapping with are:
Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover the full picture of data presentation, how to understand your audience, how to leverage hollywood storytelling and more. Out December 19.
Alex Banks - Founder of Sunday Signal. Adel and Alex cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and more. Out December 23.
Don Chamberlin - The renowned co-inventor of SQL. Richie and Don explore the early development of SQL, how it became standardized, the future of SQL through NoSQL and SQL++ and more. Out December 26.
Tom Tunguz - general Partner at Theory Ventures, a $235m VC firm. Richie and Tom explore trends in generative AI, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, AI in the corporate sector and more. Out December 30.
For our 200th episode, we bring you a special guest and taking a walk down memory lane—to the creation and development of one of the most popular programming languages in the world.
Don Chamberlin is renowned as the co-inventor of SQL (Structured Query Language), the predominant database language globally, which he developed with Raymond Boyce in the mid-1970s. Chamberlin's professional career began at IBM Research in Yorktown Heights, New York, following a summer internship there during his academic years. His work on IBM's System R project led to the first SQL implementation and significantly advanced IBM’s relational database technology. His contributions were recognized when he was made an IBM Fellow in 2003 and later a Fellow of the Computer History Museum in 2009 for his pioneering work on SQL and database architectures. Cha…
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Best of 2024: The Art of Prompt Engineering with Alex Banks, Founder and Educator, Sunday Signal
23 december 2024 · 45 min
As we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy! Lees meer
The four guests we'll be recapping with are:
Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover the full picture of data presentation, how to understand your audience, how to leverage hollywood storytelling and more. Out December 19.
Alex Banks - Founder of Sunday Signal. Adel and Alex cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and more. Out December 23.
Don Chamberlin - The renowned co-inventor of SQL. Richie and Don explore the early development of SQL, how it became standardized, the future of SQL through NoSQL and SQL++ and more. Out December 26.
Tom Tunguz - general Partner at Theory Ventures, a $235m VC firm. Richie and Tom explore trends in generative AI, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, AI in the corporate sector and more. Out December 30.
Since the launch of ChatGPT, one of the trending terms outside of ChatGPT itself has been prompt engineering. This act of carefully crafting your instructions is treated as alchemy by some and science by others. So what makes an effective prompt?
Alex Banks has been building and scaling AI products since 2021. He writes Sunday Signal, a newsletter offering a blend of AI advancements and broader thought-provoking insights. His expertise extends to social media platforms on X/Twitter and LinkedIn, where he educates a diverse audience on leveraging AI to enhance productivity and transform daily life.
In the episode, Alex and Adel cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, strategies for better prompting, chain of thought prompting, prompt en…
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Best of 2024: Data Storytelling and Visualization with Lea Pica from Present Beyond Measure
19 december 2024 · 1 uur 13 min
As we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy! Lees meer
The four guests we'll be recapping with are:
Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover the full picture of data presentation, how to understand your audience, how to leverage hollywood storytelling and more. Out December 19.
Alex Banks - Founder of Sunday Signal. Adel and Alex cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and more. Out December 23.
Don Chamberlin - The renowned co-inventor of SQL. Richie and Don explore the early development of SQL, how it became standardized, the future of SQL through NoSQL and SQL++ and more. Out December 26.
Tom Tunguz - general Partner at Theory Ventures, a $235m VC firm. Richie and Tom explore trends in generative AI, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, AI in the corporate sector and more. Out December 30.
Your data project doesn't end once you have results. In order to have impact, you need to communicate those results to others. Presentations filled with endless tables and technical jargon can easily become tedious, leading your audience to lose interest or misunderstand your point.
Data storytelling provides a solution to this: by creating a narrative around your results you can increase engagement and understanding from your audience. This is an art, and there are so many factors that contribute to visualizing data and creating a compelling story, it can be overwhelming. However, with the right approach, creating data stories can become second nature. In this special episode of DataFramed, we join forces with the Present Beyond Measure podcast to glean the best data presentation practices from one of the leading voices in the sp…
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#270 Leadership in the AI Era with Dana Maor, Senior Partner at McKinsey & Company
16 december 2024 · 35 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
The modern leader faces unprecedented challenges, from managing a multi-generational workforce to integrating AI into daily operations. How can leaders cultivate a human-centric approach that fosters trust and innovation? What role does vulnerability play in effective leadership, and how can it coexist with the need for bold decision-making? As professionals strive to lead with authenticity, what strategies can help leaders raise the tide for all boats?
Dana Maor is the global co-head for the McKinsey People & Organizational Performance Practice and is a member of its Knowledge Council. As a senior partner, she works with leaders globally to transform their organizations and themselves and serves as co-dean of multiple McKinsey leadership programs.
In the episode, Adel and Dana explore the complexities of modern leadership, the importance of human-centric leadership, balancing empathy with performance, navigating imposter syndrome, and the evolving role of leaders in the age of AI.
Links Mentioned in the Show:
The Journey to Leadership by Dana Maor
McKinsey & Company - Organizational Health Index
Skill Track: Artificial Intelligence (AI) Leadership
Related Episode: How Data can Enable Effective Leadership with Dr. Constance Dierickx, The Decision Doctor
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#269 Governing Data Models with Sarah Levy, CEO and Co-Founder at Euno
12 december 2024 · 38 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
Imagine spending millions on data tools only to find you can’t trust the answers they provide. What if different teams define key metrics in different ways? Without a clear, unified approach, chaos reigns, and confidence erodes. What role do data governance and semantic layers play in helping you trust the AI tools you build and the insights you get from your data?
Sarah Levy is a seasoned executive with extensive experience in data science, artificial intelligence, and technology leadership. Currently serving as Co-Founder and CEO of Euno since January 2023, Sarah has previously held significant positions, including VP of Data Science and Data Analytics for Real Estate at Pagaya and CTO at Sight Diagnostics, where innovative advancements in blood testing were achieved. With a strong foundation in research and development from roles at Sight Diagnostics and Natural Intelligence, as well as a robust background in cyber security gained from tenure at the IDF, Sarah has consistently driven impactful decision-making and technological advancements throughout their career. Academic credentials include a Master's degree in Condensed Matter Physics from the Weizmann Institute of Science and a Bachelor's degree in Mathematics and Physics from The Hebrew University of Jerusalem.
In the episode, Richie and Sarah explore the challenges of data governance, the role of semantic layers in ensuring data trust, the emergence of analytics engineers, the integration of AI in data processes, and much more.
Links Mentioned in the Show:
Euno
Connect with Sarah
Course: Responsible AI Data Management
Related Episode: How Data Leaders Can Make Data Governance a Priority with Saurabh Gupta, Chief Strategy & Revenue Officer at The Modern Data Company
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#268 Scaling AI in the Enterprise with Abhas Ricky, Chief Strategy Officer at Cloudera
9 december 2024 · 44 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
AI adoption is not just about flashy innovations or big models. For businesses, it’s about solving real problems and driving measurable outcomes. That means aligning your data infrastructure, navigating compute costs, and understanding where AI adds the most value. How do enterprises prioritize their use cases? What role does hybrid play in scaling securely and efficiently? What’s the next frontier beyond generative AI?
As Chief Strategy Officer, Abhas Ricky leads the overall corporate strategy for Cloudera and is responsible for creating the company vision, building the business and customer target operating model, communicating that with key stakeholders via clearly defined OKRs, and executing key transformational initiatives to realize that plan. He’s also tasked with driving growth and innovation and making appropriate build/buy partner decisions, including pricing and packaging, corporate development, and Cloudera’s innovation accelerator to launch new products. Previously, he served as chief of staff and vice president for business transformation at the company. Prior to the Cloudera/Hortonworks merger, he helped scale Hortonworks’ go-to-market efforts as global head of customer innovation and value management. A management consultant by training, he is passionate about driving action and change in the society and has led projects with multiple organizations including the World Economic Forum, Founders of the Future, and other nonprofits.
In the episode, Richie and Abhas explore the evolving landscape of data security and governance, the importance of data as an asset, the role of AI in transforming business processes, the challenges of data sprawl, and the significance of hybrid AI solutions, and much more.
Links Mentioned in the Show:
Cloudera
Connect with Abhas
Course: Understanding…
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Industry Roundup #2: AI Agents for Data Work, The Return of the Full-Stack Data Scientist and Old languages Make a Comeback
6 december 2024 · 28 min
Welcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we touch upon AI agents for data work, will the full-stack data scientist make a return, old languages making a comeback, Python's increase in performance, what they're both thankful for, and much more. Lees meer
Links Mentioned in the Show
Fractal’s Data Science Agent: Arya
Article: What Makes a True AI Agent? Rethinking the Pursuit of Autonomy
Cassie Kozyrkov on DataFramed
TIOBE Index for November 2024
Community discussion on Fortran
Tutorial: High Performance Data Manipulation in Python: pandas 2.0 vs. polars
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#267 No More NoSQL? How AI is Changing the Database with Sahir Azam, Chief Product Officer at MongoDB
5 december 2024 · 44 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
What makes a database modern, and why does it matter? In a world where we face countless choices, how do you build systems that not only scale but also make life easier for your teams? And with AI reshaping industries and workflows, how do businesses bridge the gap between legacy systems and cutting-edge applications?
Sahir Azam is the Chief Product Officer at MongoDB. He has been with MongoDB since 2016, where he launched the industry’s first developer data platform, MongoDB Atlas, and scaled the company’s thriving cloud business from the ground up. He also serves on the boards of Temporal and Observe, Inc, a cloud data observability startup. Sahir joined MongoDB from Sumo Logic, where he managed platform, pricing, packaging, and technology partnerships. Before Sumo Logic, he launched VMware's first organically developed SaaS management product and grew their management tools business to $1B+ in revenue. Earlier in his career, Sahir also held technical and sales-focused roles at DynamicOps, BMC Software, and BladeLogic.
In the episode, Richie and Sahir Azam explore the evolution of databases beyond NoSQL, enhancing developer productivity, integrating AI capabilities, modernizing legacy systems, and much more.
Links Mentioned in the Show:
MongoDB
Connect with Sahir
Course: Introduction to MongoDB in Python
Related Episode: Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at Google
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#266 Edge AI with Derek Collison & Justyna Bak, CEO & VP of Marketing at Synadia
2 december 2024 · 40 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
Edge computing is poised to transform industries by bringing computation and data storage closer to the source of data generation. This shift unlocks new types of value creation with data & AI and allows for a privacy-first and deeply personalized use of AI on our devices. What will the edge computing transition look like? How do you ensure applications are edge-ready, and what is the role of AI in the transition?
Derek Collison is the founder and CEO at Synadia. He is an industry veteran, entrepreneur and pioneer in large-scale distributed systems and cloud computing. Derek founded Synadia Communications and Apcera, and has held executive positions at Google, VMware, and TIBCO Software. He is also an active angel investor and a technology futurist around Artificial Intelligence, Machine Learning, IOT and Cloud Computing.
Justyna Bak is VP of Marketing at Synadia. Justyna is a versatile executive bridging Marketing, Sales and Product, a spark-plug for innovation at startups and Fortune 100 and a tech expert in Data Analytics and AI, AppDev and Networking. She is an astute influencer, panelist and presenter (Google, HBR) and a respected leader in Silicon Valley and Europe.
In the episode, Richie, Derek, and Justyna explore the transition from cloud to edge computing, the benefits of reduced latency, real-time decision-making in industries like manufacturing and retail, the role of AI at the edge, and the future of edge-native applications, and much more.
Links Mentioned in the Show:
Synadia
Connect with Derek and Justyna
Course: Understanding Cloud Computing
Related Episode: The Database is the Operating System with Mike Stonebraker, CTO & Co-Founder At DBOS
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#265 What You Need to Know About the EU AI Act with Dan Nechita, EU Director at Transatlantic Policy Network
28 november 2024 · 49 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
With the EU AI Act coming into effect, the AI industry faces a pivotal moment. This regulation is a landmark step for AI governance and challenges data and AI teams to rethink their approach to AI development and deployment. How will this legislation influence the way AI systems are built and used? What are the key compliance requirements that organizations need to be aware of? And how can companies balance regulatory obligations with the drive for innovation and growth?
Dan Nechita led the technical negotiations for the EU Artificial Intelligence Act on behalf of the European Parliament. For the 2019-2024 mandate, besides artificial intelligence, he focused on digital regulation, security and defense, and the transatlantic partnership as Head of Cabinet for Dragos Tudorache, MEP. Previously, he was a State Counselor for the Romanian Prime Minister with a mandate on e-governance, digitalization, and cybersecurity. He worked at the World Security Institute (the Global Zero nuclear disarmament initiative); at the Brookings Institution Center of Executive Education; as a graduate teaching assistant at the George Washington University; at the ABC News Political Unit; and as a research assistant at the Arnold A. Saltzman Institute of War and Peace at Columbia. He is an expert project evaluator for the European Commission and a member of expert AI working groups with the World Economic Forum and the United Nations. Dan is a graduate of the George Washington University (M.A.) and Columbia University in the City of New York (B.A.).
In the episode, Adel and Dan explore the EU AI Act's significance, risk classification frameworks, organizational compliance strategies, the intersection with existing regulations, AI literacy requirements, and the future of AI legislation, and much more.
Links Mentioned in …
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#264 From Gen AI to Gen BI with Omri Kohl, CEO and Co-Founder of Pyramid Analytics
25 november 2024 · 49 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
The convergence of AI and business intelligence is creating new opportunities for innovation. As AI becomes more embedded in BI tools, the challenge lies in fostering a data-driven culture within organizations. How can professionals bridge the gap between intuition and data-driven decision-making? What strategies can be employed to cultivate a culture where data is at the forefront of business decisions? And how can AI tools be leveraged to make data insights more accessible to all employees?
Omri Kohl is the CEO and co-founder of Pyramid Analytics, the Trusted Analytics Platform built for the enterprise. He leads Pyramid’s strategy and operations through a fast-growing data and analytics market. Kohl brings a deep understanding of analytics and AI technologies, valuable management experience, and a natural ability to challenge conventional thinking. Since Kohl founded Pyramid in 2009, it has achieved significant market success and customer growth. Kohl is a highly experienced entrepreneur with a proven track record developing and managing fast-growth companies.
In the episode, Richie and Omri explore the evolution of BI with AI, the importance of data-driven culture, the role of generative BI in democratizing insights, the balance between intuition and data, and much more.
Links Mentioned in the Show:
Pyramid Analytics
Connect with Omri
Pyramid Analytics GenBI Demo
Course: Introduction to Data Culture
Related Episode: Self-Service Business Intelligence with Sameer Al-Sakran, CEO at Metabase
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Industry Roundup #1: OpenAI vs Anthropic, Claude Computer Use, NotebookLM
22 november 2024 · 31 min
Welcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we touch upon the brewing rivalry between OpenAI and Anthropic, discuss Claude's new computer use feature, Google's NotebookLM and how its implications for the UX/UI of AI products, and a lot more. Lees meer
Links mentioned in the show:
Chatbot Arena Leaderboard
NotebookLM
Anthropic Computer Use
Introducing OpenAI o1-preview
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#263 The Data to AI Journey with Gerrit Kazmaier, VP and GM of Data Analytics at Google Cloud
21 november 2024 · 56 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
Integrating generative AI with robust databases is becoming essential. As organizations face a plethora of database options and AI tools, making informed decisions is crucial for enhancing customer experiences and operational efficiency. How do you ensure your AI systems are powered by high-quality data? And how can these choices impact your organization's success?
Gerrit Kazmaier is the VP and GM of Data Analytics at Google Cloud. Gerrit leads the development and design of Google Cloud’s data technology, which includes data warehousing and analytics. Gerrit’s mission is to build a unified data platform for all types of data processing as the foundation for the digital enterprise. Before joining Google, Gerrit served as President of the HANA & Analytics team at SAP in Germany and led the global Product, Solution & Engineering teams for Databases, Data Warehousing and Analytics. In 2015, Gerrit served as the Vice President of SAP Analytics Cloud in Vancouver, Canada.
In this episode, Richie and Gerrit explore the transformative role of AI in data tools, the evolution of dashboards, the integration of AI with existing workflows, the challenges and opportunities in SQL code generation, the importance of a unified data platform, leveraging unstructured data, and much more.
Links Mentioned in the Show:
Google Cloud
Connect with Gerrit
Thinking Fast and Slow by Daniel Kahneman
Course: Introduction to GCP
Related Episode: Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at Google
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#262 Self-Service Business Intelligence with Sameer Al-Sakran, CEO at Metabase
18 november 2024 · 52 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
We’re often caught chasing the dream of “self-serve” data—a place where data empowers stakeholders to answer their questions without a data expert at every turn. But what does it take to reach that point? How do you shape tools that empower teams to explore and act on data without the usual bottlenecks? And with the growing presence of natural language tools and AI, is true self-service within reach, or is there still more to the journey?
Sameer Al-Sakran is the CEO at Metabase, a low-code self-service analytics company. Sameer has a background in both data science and data engineering so he's got a practitioner's perspective as well as executive insight. Previously, he was CTO at Expa and Blackjet, and the founder of SimpleHadoop and Adopilot.
In the episode, Richie and Sameer explore self-serve analytics, the evolution of data tools, GenAI vs AI agents, semantic layers, the challenges of implementing self-serve analytics, the problem with data-driven culture, encouraging efficiency in data teams, the parallels between UX and data projects, exciting trends in analytics, and much more.
Links Mentioned in the Show:
Metabase
Connect with Sameer
Articles from Metabase on jargon, information budgets, analytics mistakes, and data model mistakes
Course: Introduction to Data Culture
Related Episode: Towards Self-Service Data Engineering with Taylor Brown, Co-Founder and COO at Fivetran
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#261 Low Code Data Science with Michael Berthold, CEO and co-founder of KNIME
14 november 2024 · 34 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
Data is no longer just for coders. With the rise of low-code tools, more people across organizations can access data insights without needing programming skills. But how can companies leverage these tools effectively? And what steps should they take to integrate them into existing workflows while upskilling their teams?
Michael Berthold is CEO and co-founder at KNIME, an open source data analytics company. He has more than 25 years of experience in data science, working in academia, most recently as a full professor at Konstanz University (Germany) and previously at University of California (Berkeley) and Carnegie Mellon, and in industry at Intel’s Neural Network Group, Utopy, and Tripos. Michael has published extensively on data analytics, machine learning, and artificial intelligence.
In the episode, Adel and Michael explore low-code data science, the adoption of low-code data tools, the evolution of data science workflows, upskilling, low-code and code collaboration, data literacy, integration with AI and GenAI tools, the future of low-code data tools and much more.
Links Mentioned in the Show:
KNIME
Connect with Michael
Code Along: Low-Code Data Science and Analytics with KNIME
Course: Introduction to KNIME
Related Episode: No-Code LLMs In Practice with Birago Jones & Karthik Dinakar, CEO & CTO at Pienso
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#260 Harnessing the Power of Now With Real-Time Analytics with Zuzanna Stamirowska & Hélène Stanway
13 november 2024 · 54 min
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Staying ahead means knowing what’s happening right now—not minutes or hours later. Real-time analytics promises to help teams react faster, make informed choices, and even predict issues before they arise. But implementing these systems is no small feat, and it requires careful alignment between technical capabilities and business needs. How do you ensure that real-time data actually drives impact? And what should organizations consider to make sure their real-time analytics investments lead to tangible benefits?
Zuzanna Stamirowska is the CEO of Pathway.com - the fastest data processing engine on the market which makes real-time intelligence possible. Zuzanna is also the author of the state-of-the-art forecasting model for maritime trade published by the National Academy of Sciences of the USA. While working on this project she saw that the digitization of traditional industries was slowed down by the lack of a software infrastructure capable of doing automated reasoning on top of data streams, in real time. This was the spark to launch Pathway. She holds a Master’s degree in Economics and Public Policy from Sciences Po, Ecole Polytechnique, and ENSAE, as well as a PhD in Complexity Science..
Hélène Stanway is Independent Advisor & Consultant at HMLS Consulting Ltd. Hélène is an award-winning and highly effective insurance leader with a proven track record in emerging technologies, innovation, operations, data, change, and digital transformation. Her passion for actively combining the human element, design, and innovation alongside technology has enabled companies in the global insurance market to embrace change by achieving their desired strategic goals, improving processes, increasing efficiency, and deploying relevant tools. With a special passion for IoT and Sensor Technology, Hélène is a p…
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#259 Getting the Data For Your Data-Driven Decisions with Jonathan Bloch & Scott Voigt
7 november 2024 · 46 min
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Lees meer
Understanding where the data you use comes from, how to use it responsibly, and how to maximize its value has become essential. But as data sources multiply, so do the complexities around data privacy, customization, and ownership. How can companies capture and leverage the right data to create meaningful customer experiences while respecting privacy? And as data drives more personalized interactions, what steps can businesses take to protect sensitive information and navigate the increasingly complex regulatory picture?
Jonathan Bloch is CEO at Exchange Data International (EDI) and a seasoned businessman with 40 years experience in information provision. He started work in the newsletter industry and ran the US subsidiary of a UK public company before joining its main board as head of its publishing division. He has been a director and/or chair of several companies and is currently a non executive director of an FCA registered investment bank. In 1994 he founded Exchange Data International (EDI) a London based financial data provider. EDI now has over 450 clients across three continents and is based in the UK, USA, India and Morocco employing 500 people.
Scott Voigt is CEO and co-founder at Fullstory. Scott has enjoyed helping early-stage software businesses grow since the mid 90s, when he helped launch and take public nFront—one of the world's first Internet banking service providers. Prior to co-founding Fullstory, Voigt led marketing at Silverpop before the company was acquired by IBM. Previously, he worked at Noro-Moseley Partners, the Southeast's largest Venture firm, and also served as COO at Innuvo, which was acquired by Google. Scott teamed up with two former Innuvo colleagues, and the group developed the earliest iterations of Fullstory to understand how an existing product was perform…
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#258 Machine Learning for Ride Sharing at Lyft, with Rachita Naik, ML Engineer at Lyft
4 november 2024 · 37 min
Machine learning and AI have become essential tools for delivering real-time solutions across industries. However, as these technologies scale, they bring their own set of challenges—complexity, data drift, latency, and the constant fight between innovation and reliability. How can we deploy models that not only enhance user experiences but also keep up with changing demands? And what does it take to ensure that these solutions are built to adapt, perform, and deliver value at scale? Lees meer
Rachita Naik is a Machine Learning (ML) Engineer at Lyft, Inc., and a recent graduate of Columbia University in New York. With two years of professional experience, Rachita is dedicated to creating impactful software solutions that leverage the power of Artificial Intelligence (AI) to solve real-world problems. At Lyft, Rachita focuses on developing and deploying robust ML models to enhance the ride-hailing industry’s pickup time reliability. She thrives on the challenge of addressing ML use cases at scale in dynamic environments, which has provided her with a deep understanding of practical challenges and the expertise to overcome them. Throughout her academic and professional journey, Rachita has honed a diverse skill set in AI and software engineering and remains eager to learn about new technologies and techniques to improve the quality and effectiveness of her work.
In the episode, Adel and Rachita explore how machine learning is leveraged at Lyft, the primary use-cases of ML in ride-sharing, what goes into an ETA prediction pipeline, the challenges of building large scale ML systems, reinforcement learning for dynamic pricing, key skills for machine learning engineers, future trends across machine learning and generative AI and much more.
Links Mentioned in the Show:
Engineering at Lyft on Medium
Connect with Rachita
Research Paper—A Better Match for Drivers and Riders: Reinforcement Learning at Lyft
Career Track: Machine Learning Engineer
Related Episode: Why ML Projects…
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#257 Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYU
1 november 2024 · 46 min
As AI continually changes how businesses operate, new questions emerge around ethics and privacy. Nowadays, algorithms can set prices and personalize offers, but how do companies ensure they’re doing this responsibly? What does it mean to be transparent with customers about data use, and how can businesses avoid unintended bias? Balancing innovation with trust is key, but achieving this balance isn’t always straightforward. Lees meer
Dr. Jose Mendoza is Academic Director and Clinical Associate Professor in Integrated Marketing at NYU, and was formerly an Associate Professor of Practice at The University of Arizona in Tucson, Arizona. His focus is on consumer pricing, digital retailing, intelligent retail stores, neuromarketing, big data, artificial intelligence, and machine learning. Previously, he taught marketing courses at Sacred Heart University and Western Michigan University. He is also an experienced senior global marketing executive with over 18 years of experience in global marketing alone and a career as an Engineer in Information Sciences. Dr. Mendoza is also a Doctoral Researcher in Strategic and Global pricing, Consumer Behavior, and Pricing Research methodologies. He had international roles in Latin America, Europe, and the USA with scope in over 50 countries.
In the episode, Richie and Jose explore AI-driven pricing, consumer perceptions and ethical pricing, the complexity of dynamic pricing models, explainable AI, data privacy and customer trust, legal and ethical guardrails, innovations in dynamic pricing and much more.
Links Mentioned in the Show:
NYU
Connect with Jose
Amazon Dynamic Pricing Strategy in 2024
Course: AI Ethics
Related Episode: The Future of Marketing Analytics with Cory Munchbach, CEO at BlueConic
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#256 From Deep Learning to SuperIntelligence with Terry Sejnowski, Head of Computational Neurobiology at Salk Institute
28 oktober 2024 · 51 min
With the recent rapid advancements in AI comes the challenge of navigating an ever-changing field of play, while ensuring the tech we use serves real-world needs. As AI becomes more ingrained in business and everyday life, how do we balance cutting-edge development with practicality and ethical responsibility? What steps are necessary to ensure AI’s growth benefits society, aligns with human values, and avoids potential risks? What similarities can we draw between the way we think, and the way AI thinks for us? Lees meer
Terry Sejnowski is one of the most influential figures in computational neuroscience. At the Salk Institute for Biological Studies, he runs the Computational Neurobiology Laboratory, and hold the Francis Crick Chair. At the University of California, San Diego, he is a Distinguished Professor and runs a neurobiology lab. Terry is also the President of the Neural Information Processing (NIPS) Foundation, and an organizer of the NeurIPS AI conference. Alongside Geoff Hinton, Terry co-invented the Boltzmann machine technique for machine learning. He is the author of over 500 journal articles on neuroscience and AI, and the book "ChatGPT and the Future of AI".
In the episode, Richie and Terry explore the current state of AI, historical developments in AI, the NeurIPS conference, collaboration between AI and neuroscience, AI’s shift from academia to industry, large vs small LLMs, creativity in AI, AI ethics, autonomous AI, AI agents, superintelligence, and much more.
Links Mentioned in the Show:
NeurIPS Conference
Terry’s Book—ChatGPT and the Future of AI: The Deep Language Revolution
Connect with Terry
Terry on Substack
Course: Data Communication Concepts
Related Episode: Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of Oxford
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#255 Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at Google
24 oktober 2024 · 47 min
Generative AI and data are more interconnected than ever. If you want quality in your AI product, you need to be connected to a database with high quality data. But with so many database options and new AI tools emerging, how do you ensure you’re making the right choices for your organization? Whether it’s enhancing customer experiences or improving operational efficiency, understanding the role of your databases in powering AI is crucial. Lees meer
Andi Gutmans is the General Manager and Vice President for Databases at Google. Andi’s focus is on building, managing, and scaling the most innovative database services to deliver the industry’s leading data platform for businesses. Prior to joining Google, Andi was VP Analytics at AWS running services such as Amazon Redshift. Prior to his tenure at AWS, Andi served as CEO and co-founder of Zend Technologies, the commercial backer of open-source PHP. Andi has over 20 years of experience as an open source contributor and leader. He co-authored open source PHP. He is an emeritus member of the Apache Software Foundation and served on the Eclipse Foundation’s board of directors. He holds a bachelor’s degree in computer science from the Technion, Israel Institute of Technology.
In the episode, Richie and Andi explore databases and their relationship with AI and GenAI, key features needed in databases for AI, GCP database services, AlloyDB, federated queries in Google Cloud, vector databases, graph databases, practical use cases of AI in databases and much more.
Links Mentioned in the Show:
GCP
Connect with Andi
AlloyDB for PostgreSQL
Course: Responsible AI Data Management
Related Episode: The Power of Vector Databases and Semantic Search with Elan Dekel, VP of Product at Pinecone
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#254 Career Skills for Data Professionals with Wes Kao, Co-Founder of Maven
21 oktober 2024 · 46 min
Mastering the technical side of data and AI is one thing, but communicating those insights effectively is a whole different challenge. How do you make sure your data is understood, acted upon, and influences decisions? It’s not just about presenting the right numbers—it’s about framing them in a way that resonates with different audiences. But how do you tailor your communication to different stakeholders and ensure your message cuts through? What strategies can you use to make your insights truly impactful? Lees meer
Wes Kao is an entrepreneur, marketer, coach, and advisor who writes at newsletter.weskao.com. She is co-founder of Maven, an edtech company that raised $25M from First Round and Andreessen Horowitz. Previously, she co-founded the altMBA with bestselling author Seth Godin.
In the episode, Richie and Wes explore communication skills, tailoring to your audience, persuasion vs information, feedback and behavioral change, intellectual honesty, judgement and analytical thinking, management and ownership, dealing with mistakes, conflict management, career advice for data practitioners and much more.
Links Mentioned in the Show:
Wes’ Website
Connect with Wes
10,000 Hours Concept by Malcolm Gladwell
Course: Data Communication Concepts
Related Episode: Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision Scientist
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#253 The Infrastructure Supporting the Data Revolution with Saad Siddiqui, General Partner at Titanium Ventures
17 oktober 2024 · 39 min
Building a robust data infrastructure is crucial for any organization looking to leverage AI and data-driven insights. But as your data ecosystem grows, so do the challenges of managing, securing, and scaling it. How do you ensure that your data infrastructure not only meets today’s needs but is also prepared for the rapid changes in technology tomorrow? What strategies can you adopt to keep your organization agile, while ensuring that your data investments continue to deliver value and support business goals? Lees meer
Saad Siddiqui is a venture capitalist for Titanium Ventures. Titanium focus on enterprise technology investments, particularly focusing on next generation enterprise infrastructure and applications. In his career, Saad has deployed over $100M in venture capital in over a dozen companies. In previous roles as a corporate development executive, he has executed M&A transactions valued at over $7 billion in aggregate. Prior to Titanium Ventures he was in corporate development at Informatica and was a member of Cisco's venture investing and acquisitions team covering cloud, big data and virtualization.
In the episode, Richie and Saad explore the business impacts of data infrastructure, getting started with data infrastructure, the roles and teams you need to get started, scalability and future-proofing, implementation challenges, continuous education and flexibility, automation and modernization, trends in data infrastructure, and much more.
Links Mentioned in the Show:
Titanium Ventures
Connect with Saad
Course - Artificial Intelligence (AI) Strategy
Related Episode: How are Businesses Really Using AI? With Tathagat Varma, Global TechOps Leader at Walmart Global Tech
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#252 Is Big Data Dead? MotherDuck and the Small Data Manifesto with Ryan Boyd Co-Founder at MotherDuck
14 oktober 2024 · 49 min
Businesses are collecting more data than ever before. But is bigger always better? Many companies are starting to question whether massive datasets and complex infrastructure are truly delivering results or just adding unnecessary costs and complications. How can you make sure your data strategy is aligned with your actual needs? What if focusing on smaller, more manageable datasets could improve your efficiency and save resources, all while delivering the same insights? Lees meer
Ryan Boyd is the Co-Founder & VP, Marketing + DevRel at MotherDuck. Ryan started his career as a software engineer, but since has led DevRel teams for 15+ years at Google, Databricks and Neo4j, where he developed and executed numerous marketing and DevRel programs. Prior to MotherDuck, Ryan worked at Databricks and focussed the team on building an online community during the pandemic, helping to organize the content and experience for an online Data + AI Summit, establishing a regular cadence of video and blog content, launching the Databricks Beacons ambassador program, improving the time to an “aha” moment in the online trial and launching a University Alliance program to help professors teach the latest in data science, machine learning and data engineering.
In the episode, Richie and Ryan explore data growth and computation, the data 1%, the small data movement, data storage and usage, the shift to local and hybrid computing, modern data tools, the challenges of big data, transactional vs analytical databases, SQL language enhancements, simple and ergonomic data solutions and much more.
Links Mentioned in the Show:
MotherDuck
The Small Data Manifesto
Connect with Ryan
Small DataSF conference
Related Episode: Effective Data Engineering with Liya Aizenberg, Director of Data Engineering at Away
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#251 The New Toolkit For CDOs with Adrian Estala, VP, Field Chief Data Officer at Starburst
11 oktober 2024 · 49 min
Businesses are constantly racing to stay ahead by adopting the latest data tools and AI technologies. But with so many options and buzzwords, it’s easy to get lost in the excitement without knowing whether these tools truly serve your business. How can you ensure that your data stack is not only modern but sustainable and agile enough to adapt to changing needs? What does it take to build data products that deliver real value to your teams while driving innovation? Lees meer
Adrian Estala is VP, Field Chief Data Officer and the host of Starburst TV. With a background in leading Digital and IT Portfolio Transformations, he understands the value of creating executive frameworks that focus on material business outcomes. Skilled with getting the most out of data-driven investments, Adrian is your trusted adviser to navigating complex data environments and integrating a Data Mesh strategy in your organization.
In the episode, Richie and Adrian explore the modern data stack, agility in data, collaboration between business and data teams, data products and differing ways of building them, data discovery and metadata, data quality, career skills for data practitioners and much more.
Links Mentioned in the Show:
Starburst
Connect with Adrian
Career Track: Data Engineer in Python
Related Episode: How this Accenture CDO is Navigating the AI Revolution
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#250 How Data and AI are Changing Data Management with Jamie Lerner, CEO, President & Chairman at Quantum
7 oktober 2024 · 49 min
AI is becoming a key tool in industries far beyond just tech. From automating tasks in the movie industry to revolutionizing drug development in life sciences, AI is transforming how we work. But with this growth comes important questions: How is AI really impacting jobs? Are we just increasing efficiency, or are we replacing human roles? And how can companies effectively store and leverage the vast amounts of data being generated every day to gain a competitive advantage? Lees meer
Jamie Lerner is the President and CEO of Quantum, a company specializing in data storage, management, and protection. Since taking the helm in 2018, Lerner has steered Quantum towards innovative solutions for video and unstructured data. His leadership has been marked by strategic acquisitions and product launches that have significantly enhanced the company's market position. Before joining Quantum, Jamie worked at Cisco, Seagate, CITTIO, XUMA, and Platinum Technology. At Quantum, Lerner has been instrumental in shifting the company's focus towards data storage, management, and protection for video and unstructured data, driving innovation and strategic acquisitions to enhance its market position.
In the episode, Richie and jamie explore AI in subtitling, translation, and the movie industry at large, AI in sports, AI in business and scientific research, AI ethics, infrastructure and data management, video and image data in business, challenges of working with AI in video, excitement vs fear in AI and much more.
Links Mentioned in the Show:
Quantum
Connect with Jamie
Career Track: Data Engineer in Python
Related Episode: Seeing the Data Layer Through Spatial Computing with Cathy Hackl and Irena Cronin
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#249 Towards Self-Service Data Engineering with Taylor Brown, Co-Founder and COO at Fivetran
3 oktober 2024 · 51 min
The sheer number of tools and technologies that can infiltrate your work processes can be overwhelming. Choosing the right ones to invest in is critical, but how do you know where to start? What steps should you take to build a solid, scalable data infrastructure that can handle the growth of your business? And with AI becoming a central focus for many organizations, how can you ensure that your data strategy is aligned to support these initiatives? It’s no longer just about managing data; it’s about future-proofing your organization. Lees meer
Taylor Brown is the COO and Co-Founder of Fivetran, the global leader in data movement. With a vision to simplify data connectivity and accessibility, Taylor has been instrumental in transforming the way organizations manage their data infrastructure. Fivetran has grown rapidly, becoming a trusted partner for thousands of companies worldwide. Taylor's expertise in technology and business strategy has positioned Fivetran at the forefront of the data integration industry, driving innovation and empowering businesses to harness the full potential of their data. Prior to Fivetran, Taylor honed his skills in various tech startups, bringing a wealth of experience and a passion for problem-solving to his entrepreneurial ventures.
In the episode, Richie and Taylor explore the biggest challenges in data engineering, how to find the right tools for your data stack, defining the modern data stack, federated data, data fabrics, data meshes, data strategy vs organizational structure, self-service data, data democratization, AI’s impact on data and much more.
Links Mentioned in the Show:
Fivetran
Connect with Taylor
Career Track: Data Engineer in Python
Related Episode: Effective Data Engineering with Liya Aizenberg, Director of Data Engineering at Away
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#248 Effective Product Management for AI with Marily Nika, Gen AI Product Lead at Google Assistant
30 september 2024 · 42 min
Building and managing AI products comes with its own set of unique challenges. Especially when they are under intense scrutiny like mobile and home assistants have dealt with in recent years. From dealing with the unpredictable nature of machine learning models to ensuring that your product is both ethical and user-friendly, the path to success isn’t always clear. But how do you navigate these complexities and still deliver a product that meets business goals? What key steps can you take to align AI innovation with measurable outcomes and long-term success? Lees meer
Marily Nika is one of the world's leading thinkers on product management for artificial intelligence. At Google, she manages the generative AI product features for Google Assistant. Marily also founded AI Product Academy, where she runs a BootCamp on AI product management, and she teaches the subject on Maven. Previously, Marily was an AI Product Lead in Meta's Reality Labs, and the AI Product Lead for Google Glass. She is also an Executive Fellow at Harvard Business School.
In the episode, Richie and Marily explore the unique challenges of AI product management, experimentation, ethical considerations in AI product management, collaboration, skills needed to succeed in AI product development, the career path to work in AI as a Product Manager, key metrics for AI products and much more.
Links Mentioned in the Show:
Komo AI
Connect with Marily
Marily’s Course: AI Product Management Bootcamp with Certification
Skill Track: AI Business Fundamentals
Related Episode: Building Human-Centered AI Experiences with Haris Butt, Head of Product Design at ClickUp
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#247 Aligning AI with Enterprise Strategy with Leon Gordon, CEO at Onyx Data
26 september 2024 · 41 min
Every organization today is exploring generative AI to drive value and push their business forward. But a common pitfall is that AI strategies often don’t align with business objectives, leading companies to chase flashy tools rather than focusing on what truly matters. How can you avoid these traps and ensure your AI efforts are not only innovative but also aligned with real business value? Lees meer
Leon Gordon, is a leader in data analytics and AI. A current Microsoft Data Platform MVP based in the UK, founder of Onyx Data. During the last decade, he has helped organizations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence and big data. Leon is an Executive Contributor to Brainz Magazine, a Thought Leader in Data Science for the Global AI Hub, chair for the Microsoft Power BI – UK community group and the DataDNA data visualization community as well as an international speaker and advisor.
In the episode, Adel and Leon explore aligning AI with business strategy, building AI use-cases, enterprise AI-agents, AI and data governance, data-driven decision making, key skills for cross-functional teams, AI for automation and augmentation, privacy and AI and much more.
Links Mentioned in the Show:
Onyx Data
Connect with Leon
Leon’s Linkedin Course - How to Build and Execute a Successful Data Strategy
Skill Track: AI Business Fundamentals
Related Episode: Generative AI in the Enterprise with Steve Holden, Senior Vice President and Head of Single-Family Analytics at Fannie Mae
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#246 AI and the Future of Art with Kent Keirsey, Founder & CEO at Invoke
23 september 2024 · 47 min
AI has rapidly emerged as an incredibly transformative technology, and nowhere has its impact been felt more unexpectedly than in the creative arts. Just a decade ago, few would have predicted that AI would evolve from automating routine tasks to generating paintings, music, and even poetry. Yet today, the role of AI in the arts has entered mainstream conversations, even contributing to the debates seen in last year’s Hollywood strikes. Lees meer
Kent Kersey is a creative technologist who has served as a Product and Business leader in startups across B2B, B2C, and Enterprise SaaS. He is the founder and CEO of Invoke, an open-source Enterprise platform built to empower creatives to co-create with custom/fine-tuned AI products.
In the episode, Adel and Kent explore intellectual property and AI, the legal landscape surrounding AI models, open vs closed-source models, the future of creative teams and GenAI, innovations in GenAI, the role of artists in an AI-world, GenAI’s impact on the future of entertainment and much more.
Links Mentioned in the Show:
Invoke
How to Use Midjourney: A Comprehensive Guide to AI-Generated Artwork Creation
Course: Generative AI Concepts
Related Episode: Seeing the Data Layer Through Spatial Computing with Cathy Hackl and Irena Cronin
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#245 Can We Make Generative AI Cheaper? With Natalia Vassilieva, Senior VP & Field CTO & Andy Hock, VP, Product & Strategy at Cerebras Systems
19 september 2024 · 47 min
With AI tools constantly evolving, the potential for innovation seems limitless. But with great potential comes significant costs, and the question of efficiency and scalability becomes crucial. How can you ensure that your AI models are not only pushing boundaries but also delivering results in a cost-effective way? What strategies can help reduce the financial burden of training and deploying models, while still driving meaningful business outcomes? Lees meer
Natalia Vassilieva is the VP & Field CTO of ML at Cerebras Systems. Natalia has a wealth of experience in research and development in natural language processing, computer vision, machine learning, and information retrieval. As Field CTO, she helps drive product adoption and customer engagement for Cerebras Systems' wafer-scale AI chips. Previously, Natalia was a Senior Research Manager at Hewlett Packard Labs, leading the Software and AI group. She also served as the head of HP Labs Russia leading research teams focused on developing algorithms and applications for text, image, and time-series analysis and modeling. Natalia has an academic background, having been a part-time Associate Professor at St. Petersburg State University and a lecturer at the Computer Science Center in St. Petersburg, Russia. She holds a PhD in Computer Science from St. Petersburg State University.
Andy Hock is the Senior VP, Product & Strategy at Cerebras Systems. Andy runs the product strategy and roadmap for Cerebras Systems, focusing on integrating AI research, hardware, and software to accelerate the development and deployment of AI models. He has 15 years of experience in product management, technical program management, and enterprise business development; over 20 years of experience in research, algorithm development, and data analysis for image processing; and 9 years of experience in applied machine learning and AI. Previously he was Product Management lead for Data and Analytics for Terra Bella at Google, where he led the develop…