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#325 Using Data to Master the Cycles of Leadership with Carolyn Dewar, Global Practice Leader at McKinsey
Leadership in data-driven organizations requires a delicate balance of technical expertise and human understanding. As businesses navigate unprecedented uncertainty in global markets, geopolitics, and technological change, the role of data
#324 Using Behavioral Science to Hack Your Customers Minds with Richard Shotton, Founder at Astroten
Behavioral science is revolutionizing how businesses connect with customers and influence decisions. By understanding the psychological principles that drive human behavior, companies can create more effective marketing strategies and produ
#323 The Evolution of Data Literacy & AI Literacy with Jordan Morrow, Godfather of Data Literacy
Data literacy and AI literacy are becoming essential skills in today's digital landscape. As organizations collect more data and deploy AI solutions, the ability to understand, interpret, and make decisions with these tools is increasingly
#322 How Next-Gen Data Analytics Powers Your AI Strategy with Christina Stathopoulos, Founder at Dare to Data
The relationship between AI assistants and data professionals is evolving rapidly, creating both opportunities and challenges. These tools can supercharge workflows by generating SQL, assisting with exploratory analysis, and connecting dire
#321 Developing Financial AI Products at Experian with Vijay Mehta, EVP of Global Solutions & Analytics at Experian
Financial institutions are racing to harness the power of AI, but the path to implementation is filled with challenges. From feature engineering to model deployment, the technical complexities of AI adoption in finance require careful navig
#320 The Next Industrial Revolution is Industrial AI | Barbara Humpton, CEO at Siemens USA and Olympia Brikis, Director of Industrial AI at Siemens USA
The manufacturing floor is undergoing a technological revolution with industrial AI at its center. From predictive maintenance to quality control, AI is transforming how products are designed, produced, and maintained. But implementing thes
#319 Building & Managing Human+Agent Hybrid Teams with Karen Ng, Head of Product at HubSpot
The line between human work and AI capabilities is blurring in today's business environment. AI agents are now handling autonomous tasks across customer support, data management, and sales prospecting with increasing sophistication. But how
#318 Master Your Inner Game to Avoid Burnout with Klaus Kleinfeld, Former CEO at Alcoa and Siemens
The modern workplace often glorifies constant productivity and hustle culture, but at what cost? More professionals are burning out earlier in their careers, while elite athletes are extending their peak performance years. What can business
Industry Roundup #6: GPT-5 Launch & Scaling Limits, Meta’s Chatbot Guidelines Leak, and AI Safety Concerns
Welcome to DataFramed Industry Roundups! In this series of episodes, we sit down to discuss the latest and greatest in data & AI. In this episode, with special guest, DataCamp Editor Alex, we touch upon the launch of GPT-5, scaling limits i
#317 How to Reengineer Your Business Processes with Nelson Repenning, Distinguished Professor at MIT Sloan & Don Kieffer, Senior Lecturer in Operations Management at MIT Sloan
Every day, knowledge workers face the challenge of managing competing priorities and constant interruptions. When systems are managing us rather than us managing them, productivity suffers and morale plummets. But what if the key to improve
#316 Enterprise AI Agents with Jun Qian, VP of Generative AI Services at Oracle
Combining LLMs with enterprise knowledge bases is creating powerful new agents that can transform business operations. These systems are dramatically improving on traditional chatbots by understanding context, following conversations natura
#315 DataFramed x Alter Everything: Future-Proofing Your Career in AI and Data Analytics | Richie & Megan Bowers
The relationship between AI and data professionals is evolving rapidly, creating both opportunities and challenges. As companies embrace AI-first strategies and experiment with AI agents, the skills needed to thrive in data roles are fundam
#314 How to Have a Career in Data Science in 2025 with Dawn Choo, Data Careers Influencer, Co-Founder at Interview Master
Data science continues to evolve in the age of AI, but is it still the 'sexiest job of the 21st century'? While generative AI has transformed the landscape, it hasn't replaced data scientists—instead, it's created more demand for their skil
#313 Developing Better Predictive Models with Graph Transformers with Jure Leskovec, Pioneer of Graph Transformers, Professor at Stanford
The structured data that powers business decisions is more complex than the sequences processed by traditional AI models. Enterprise databases with their interconnected tables of customers, products, and transactions form intricate graphs t
#312 Can we Create an AI Doctor? with Aldo Faisal, Professor in AI & Neuroscience at Imperial College
Healthcare AI is rapidly evolving beyond simple diagnostic tools to comprehensive systems that can analyze and predict patient outcomes. With the rise of multimodal AI models that can process everything from medical images to patient record
#311 The Human Element of AI-Driven Transformation with Steve Lucas, CEO at Boomi
The relationship between humans and AI in the workplace is rapidly evolving beyond simple automation. As companies deploy thousands of AI agents to handle everything from expense approvals to customer success management, a new paradigm is e
#310 The State of BI in 2025 with Howard Dresner, Godfather of BI
Business intelligence has been transforming organizations for decades, yet many companies still struggle with widespread adoption. With less than 40% of employees in most organizations having access to BI tools, there's a significant 'infor
#309 What Science Fiction Can Tell Us About the Future of AI with Ken Liu, Sci-Fi Author
Technology and human consciousness are converging in ways that challenge our fundamental understanding of creativity and connection. As AI systems become increasingly sophisticated at mimicking human thought patterns, we're entering unchart
Industry Roundup #5: AI Agents Hype vs. Reality, Meta’s $15B Stake in Scale AI, and the First Fully AI-Generated NBA Ad
Welcome to DataFramed Industry Roundups! In this series of episodes, we sit down to discuss the latest and greatest in data & AI. In this episode, with special guest, DataCamp COO Martijn, we touch upon the hype and reality of AI agents in
#308 A Framework for GenAI App and Agent Development with Jerry Liu, CEO at LlamaIndex
The enterprise adoption of AI agents is accelerating, but significant challenges remain in making them truly reliable and effective. While coding assistants and customer service agents are already delivering value, more complex document-bas
#307 Human Guardrails in Generative AI with Wendy Gonzalez & Duncan Curtis, CEO & SVP of Gen AI at Sama
The line between generic AI capabilities and truly transformative business applications often comes down to one thing: your data. While foundation models provide impressive general intelligence, they lack the specialized knowledge needed fo
#306 The Next Generation of Business Intelligence with Colin Zima, CEO at Omni
The modern data stack has transformed how organizations work with data, but are our BI tools keeping pace with these changes? As data schemas become increasingly fluid and analysis needs range from quick explorations to production-grade rep
#305 RAG 2.0 and The New Era of RAG Agents with Douwe Kiela, CEO at Contextual AI, Adjunct Professor at Stanford University, Inventor of RAG
Retrieval Augmented Generation (RAG) continues to be a foundational approach in AI despite claims of its demise. While some marketing narratives suggest RAG is being replaced by fine-tuning or long context windows, these technologies are ac
#304 Accelerating Data Science with Nick Becker, Technical Product Manager at NVIDIA & Dan Hannah, Associate Director at SES AI
GPU acceleration is transforming how data scientists tackle computationally intensive problems in the AI and materials science fields. When dealing with billions of potential molecular combinations or massive datasets requiring dimensionali
#303 Increasing Your Organization's AI Maturity with Iwo Szapar & Eryn Peters, Founders at AI Maturity Index
AI maturity isn't achieved through technology alone—it requires organizational alignment, cultural readiness, and strategic implementation. Companies across industries are working to move beyond experimental AI use toward systematic integra
#302 Making AI Applications like Greased Lightning with William Falcon, CEO at Lightning AI
AI tooling continues to expand with specialized solutions for every step of the development process. For data scientists and engineers, this creates a paradox: more options but potentially more complexity and integration challenges. How do
#301 What the Like Button Tells You About Your Customers with Bob Goodson, Inventor of the Like Button
The like button has transformed how we interact online, becoming a cornerstone of digital engagement with over 7 billion clicks daily. What started as a simple user interface solution has evolved into a powerful data collection tool that co
Industry Roundup #4: O3 & O4-mini, LLama 4’s Rocky Release & Google’s Agent Ecosystem
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 launch of OpenAI’s O3 and O4-mini models, Meta’s rocky release o
#300 End to End AI Application Development with Maxime Labonne, Head of Post-training at Liquid AI & Paul-Emil Iusztin, Founder at Decoding ML
The roles within AI engineering are as diverse as the challenges they tackle. From integrating models into larger systems to ensuring data quality, the day-to-day work of AI professionals is anything but routine. How do you navigate the com
#299 From Panic to Profit, Via Data with Bill Canady, CEO at Arrowhead Engineered Products
Data-driven turnarounds are transforming how struggling businesses find their path back to profitability. When companies falter, the key to recovery can often lies in understanding which 20% of customers and products generate 80% of profits
