DataFramed

Most organizations know AI matters, but few have turned that conviction into a written plan. Ambition and hope are everywhere; a clear roadmap tied to business strategy is rare. For teams on the ground, this gap shows up as scattered initiatives, tools nobody fully uses, and a lot of activity that never adds up to real value. So where do you actually start? How do you move from a long list of use cases to a focused plan you can execute? And who in the organization should own the job of turning AI into business results?Charlene Li is a New York Times bestselling author and strategic advisor who has spent more than two decades helping leaders navigate disruptive change. She founded Altimeter Group, has advised 49 of the Fortune 100, and is the co-author of Winning with AI: The 90-Day Blueprint for Success (with Dr. Katia Walsh).In the episode, Richie and Charlene explore how to get your organization AI-ready in 90 days, why you don't need a separate AI strategy, appointing an AI value owner, creating value beyond efficiency, building AI fluency, Goldilocks governance, why you should kill your AI pilots, and much more.Links Mentioned in the Show:Winning with AI: The 90-Day Blueprint for SuccessDr. Katia Walsh (co-author)ModernaKonectaIKEAAndrej Karpathy's LLM WikiConnect with Charlene: LinkedInAI-Native Course: Intro to AI for WorkRelated Episode: Our Data Trends & Predictions for 2026 with Jonathan Cornelissen & Martijn TheuwissenNew to DataCamp? Learn on the go using the DataCamp mobile app - https://www.datacamp.com/mobileEmpower your business with world-class data and AI skills with DataCamp for business - https://www.datacamp.com/business

Technical skills are being commoditized faster than ever. As AI takes on more of the work that used to define a junior knowledge worker, the things that once made someone valuable are becoming table stakes. What compounds in this environment is reputation — what colleagues, clients, and decision-makers think about you when your name comes up.That puts new pressure on visibility. People doing great work in silence are increasingly the ones getting passed over for promotions and external opportunities. So how do you build a reputation without becoming an influencer? What does AI-era credibility actually look like? And how do you start small?Dorie Clark teaches Executive Education at Columbia Business School and is the Wall Street Journal and USA Today bestselling author of The Long Game, Entrepreneurial You, Reinventing You, and Stand Out. She has been named four times as one of the Top 50 business thinkers in the world by Thinkers50, recognized as the #1 Communication Coach in the world by the Marshall Goldsmith Leading Global Coaches Awards, and is a frequent contributor to the Harvard Business Review.In the episode, Richie and Dorie explore why AI fluency is the new Excel skill, tinkering with AI's jagged frontier, the security risks of agentic AI, what personal branding really means in an AI-disrupted job market, the recognized expert formula, the ladder strategy for credibility, networking with "no asks for a year," running better meetings, and much more.Links Mentioned in the Show:• The Jagged Frontier (HBS Working Paper)• Agentic Misalignment: How LLMs could be insider threats (Anthropic)• AI-powered coding tool wiped out a software company's database (Fortune)• Reinventing You by Dorie Clark• The Long Game by Dorie Clark• Superteams by Ron Friedman• Connect with Dorie on LinkedIn• AI-Native Course: Intro to AI for Work• Related Episode: #341 Our Data Trends & Predictions for 2026New to DataCamp?Learn on the go using the DataCamp mobile app.Empower your business with world-class data and AI skills with DataCamp for business.

Physical AI is showing up across the industry as sensors, connected devices, and foundation models move from the cloud into the real world. After years of IoT wiring everything to the internet, the big shift is turning raw measurements and video into meaning, not just dashboards. For day-to-day teams, that changes how you monitor equipment, detect failures, and decide what to do next. When thousands of sensor streams hit storage, who turns them into insights and recommendations fast enough to matter? Can one model generalize across different sensors and conditions? And what must run on the asset versus the cloud?Dr. Ivan Poupyrev is CEO and Founder of Archetype AI, where he is building a multimodal AI foundation model that combines real-time sensor data and natural language to help people and organizations better understand and act on the physical world. The company is developing a developer platform to unlock new applications of Physical AI across industries.Previously, he was Director of Engineering at Google’s Advanced Technology and Projects (ATAP) division, where he founded and led large cross-functional teams to create Soli, a radar-based sensing platform, and Jacquard, a connected apparel platform powered by smart textiles and embedded ML. These technologies shipped in more than 15 products across 33 countries, including collaborations with Levi’s, YSL, Adidas, and Samsonite, and were integrated into flagship devices such as Pixel 4 and Nest products. His work has been widely published, recognized with major international awards, and featured in global media.In the episode, Richie and Ivan explore physical AI beyond robotics, turning IoT sensor streams into insights, recommendations, and automation, why physical foundation models differ from LLMs, sensor-fusion wins like wind-turbine failure alerts, edge deployment and privacy, how to pick a first project in practice, and much more.Links Mentioned in the Show:Archetype AIAttention Is All You Need (Original Transformer Architecture Paper)A Mathematical Theory of Communication (Shannon, 1948)Connect with IvanAI-Native Course: Intro to AI for WorkRelated Episode: Enterprise AI Agents with Jun Qian, VP of Generative AI Services at OracleExplore AI-Native Learning on DataCampNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

AI moves fast, and the news cycle can feel like a fire hose. New tools like agents and digital twins promise to help, but they also add more choices and noise. In day-to-day work, the challenge is less about knowing every breakthrough and more about deciding what matters, then making time to act. How do you cut meetings down, say no without friction, and still ship real work? How do you open your mind to new ideas while avoiding hype? And when you do spot a signal, how do you turn it into action across teams, stakeholders, and shifting priorities.As the Head of Global Innovation at ServiceNow, Brian Solis drives vision and strategy for future-focused innovation. He has three decades of experience as a technology leader, and Forbes called him "one of the more creative and brilliant business minds of our time". Previously, Brian was VP of Global Innovation at Salesforce. He has written nine books, including the best selling "Mindshift". Brian is an author of the ServiceNow Enterprise AI Maturity Index 2025 Report.In the episode, Richie and Brian explore the challenges of staying updated with AI advancements, the importance of mindset shifts for innovation, the role of storytelling in driving change, and practical strategies for managing information overload, fostering organizational transformation, and much more.Links Mentioned in the Show:Brian’s Book: MindshiftServiceNowConnect with BrianAI-Native Course: Intro to AI for WorkRelated Episode: The New Paradigm for Enterprise AI Governance with Blake Brannon, Chief Innovation Officer at OneTrustExplore AI-Native Learning on DataCampNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Data and AI teams are drowning in tools, but the big trend is consolidation and speed. AI-driven building is making dashboards, internal apps, and even data workflows feel more like products than reports. Custom interfaces, interactive presentations, and ad hoc apps are becoming easier to create than traditional BI artifacts.For working professionals, this raises practical questions: should you build a bespoke reporting site instead of another spreadsheet? Can you connect secure data views and prevent leaks by design? What does quality control look like when an agent writes the code—separate chats, clear plans, and tests? And what’s the real cost of going from idea to deployed app: a few dollars, or hundreds?Matt Palmer works at the intersection of developer experience, product marketing, and AI education. Leading Developer Relations at Replit, he helped grow Replit's revenue from $5M to $100M+. He creates content on vibe-coding, data transformation, AI, and more—blending technical depth with accessibility to empower developers and make complex tools approachable.In the episode, Richie and Matt explore the power of vibe coding, how non-developers are building impactful tools, the potential of AI in app development, the role of Replit in simplifying coding, and the future of personalized applications in data teams, and much more.Links Mentioned in the Show:ReplitCourse: Vibe Coding with ReplitYour Guide to ReplitConnect with MattAI-Native Course: Intro to AI for WorkRelated Episode: Building & Managing Human+Agent Hybrid Teams with Karen Ng, Head of Product at HubSpotExplore AI-Native Learning on DataCampNew to DataCamp?Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

2026 is shaping up to be a pivotal year for data, AI, and how we work. From step-change improvements in foundation models to AI-native workflows reshaping careers, commerce, and education, the pace of change shows no signs of slowing. After revisiting and scoring their previous predictions, Richie, Jo, and Martijn turn their focus to what’s coming next in 2026.Building on last year’s discussion, we explore how AI will transform hiring and career progression, why personal AI tutors could become the default learning experience, how AI agents may begin executing real economic activity, and whether we’re on the brink of another “GPT-3 moment” driven by new hardware and scaling.Links Mentioned in the Show:Blog: The Junior Hiring CrisisBlog: The agentic commerce opportunity: How AI agents are ushering in a new era for consumers and merchantsAlex Banks on the ChatGPT era endingSpec & Evals Driven Agent Development (SEDAD) TemplateAI-Native Course: Intro to AI for WorkRelated Episode: Reviewing Our Data Trends & Predictions of 2025 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn TheuwissenExplore AI-Native Learning on DataCampNew to DataCamp?Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business