Among organizations that have adopted generative AI, only 33% report implementing it into functional processes. To seize productivity gains from AI, enterprises need to get the most from their data, ensure governance, and make it easier to use. For many, that means better integration with the workforce tools already in use. Learn how companies are developing AI agents that act with greater autonomy and how they are scaling them across diverse environments to deliver impact. Discover how to manage your AI assistants and agents in a unified, adaptable experience that safeguards investments.

To scale generative AI and drive real value, enterprises need to get the most from their data. Business leaders must shift their focus to creating efficient, secure and scalable data foundations to train their AI. Given that 80% of enterprise data is unstructured, driving performant and accurate AI requires a strategy to unify structured and unstructured data as well as solutions to enable data access verification, integration and governance across disparate environments. Hear how leading organizations are successfully leveraging their data to fuel growth and trust across their business.

Send us a text What makes IBM TechXchange different — and why is it a must-attend for techies? In this episode, we’re joined by two powerhouses behind the scenes: Amy Tennison, VP of IBM TechXchange & Client Advocacy, and Graeme Noseworthy, TechXchange Content & Experiences. We explore the ethos of TechXchange, how it's curated for technologists of all skill levels, and why it's more than just an event — it's an experience that continues all year long. From strategic content design to the future of tech conferences, you’ll hear insider insights and behind-the-scenes stories that bring TechXchange to life. ⏱️ Time Markers: 03:06 Meet Amy Tennison03:54 Meet Graeme Noseworthy05:51 What IS TechXchange10:31 TechXchange is Always On!16:32 The Cost of Learning: Time22:12 Targeting Different Skill Levels27:07 Where Are Tech Events Heading?28:52 Session Curation33:03 The WHY of TechXchange34:00 Finally, What to Know36:29 For Fun💡 Whether you're a hands-on architect, an emerging developer, or a tech lead looking to sharpen your edge — this episode is for you.  #TechXchange #IBMPodcast #MakingDataSimple Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text 👤 About the Guest Dr. Ruchir Puri is IBM Fellow and Chief Scientist at IBM Research. He’s a master inventor with 70+ patents and decades of leadership in scalable AI, chip innovation, and open-source contributions. From Watson to watsonx, he’s been shaping the AI landscape for decades — and he’s not slowing down. Inside This Episode In Part 2, Ruchir unpacks the macro forces shaping AI — from Jensen Huang’s bold prediction to IBM’s leadership in open-model ecosystems and the emerging blueprint for AGI (Artificial General Intelligence). It’s a mix of sharp insight, grounded realism, and future-forward thinking.

⏱️ Chapters & Timing 00:12 – Jensen Huang's Prediction Ruchir’s take on NVIDIA’s CEO and whether the 2029 AGI forecast holds water.04:15 – The Open-Model Ecosystem Why IBM is betting on openness — and what that means for enterprise AI.07:21 – Why IBM Granite? A breakdown of Granite’s strengths, flexibility, and why it’s built to scale responsibly.09:58 – Model Indemnification The legal side of LLMs. Ruchir explains how IBM handles risk and accountability.11:32 – AI Implementation Challenges Beyond the hype: What really gets in the way of successful AI deployment?14:20 – AI in Politics A frank look at how AI is already reshaping elections, media, and power dynamics.15:35 – AI Chipsets From GPUs to custom silicon, Ruchir highlights what’s next in the AI compute race.18:37 – AGI = IQ, EQ, RQ Artificial General Intelligence, demystified. Why intellect alone isn’t enough — and how reasoning and empathy fit in.24:15 – The Human Brain’s Efficiency What AI can learn from 20 watts of organic genius.💬 Key Ideas You can’t have AGI without reasoning. That’s the ‘RQ’ — and it’s the missing piece.

The future isn’t one model to rule them all. It’s an ecosystem — modular, open, and responsible.

IBM’s commitment to indemnification isn’t just legal — it’s about trust in enterprise AI.

🔥 Why You Should Listen This episode goes beyond buzzwords. If you're serious about what’s coming next in AI — how we’ll build it, govern it, and live with it — Ruchir offers a rare combination of technical clarity and visionary leadership. 🎧 Subscribe for More Don't miss upcoming episodes that help you lead with clarity in the AI era — the Making Data Simple way. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text 🎙️  Ruchir Puri (Part 1): From Prompt Engineering to Agentic AI Guest: Ruchir Puri, Chief Scientist at IBM Research 📍 Website: ibm.com/watsonx 🎧 Host: Al Martin, Worldwide VP, Technical Sales, IBM 📨 Want to be a guest? Email us at [email protected] 👤 About the Guest Dr. Ruchir Puri is IBM Fellow, Chief Scientist of IBM Research, and one of IBM’s most prolific inventors. With over 70 patents and a lead architect behind IBM’s AI breakthroughs including Watson and watsonx, Ruchir is a globally respected authority on AI, chip design, and scalable compute. He’s led groundbreaking work from Deep Blue to Agentic AI and is shaping how AI will drive the next era of enterprise transformation. 🧠 What’s Inside This Episode This episode is a masterclass in where AI is headed. Ruchir takes us on a journey from the fading relevance of prompt engineering to the rise of agentic AI systems that think, plan, execute, and reflect. You’ll hear his candid views on inference at scale, memory in systems, and why 2025 is the year of agents. ⏱️ Chapters & Timing 01:22 – Hints for the IBM THINK Conference Sneak peek into what’s coming at THINK — and what not to miss.04:09 – What Drives Ruchir From childhood curiosity to global impact. How does a mind like his stay inspired?10:00 – Where Are We Now: Feedback Systems Why the “training is done” mindset is outdated and how feedback loops change the game.12:21 – Prompt Engineering Gone! Hot take alert! Ruchir declares the death of prompt engineering — and what replaces it.13:39 – Inference Scaling How scaling inference (not just training) is the next AI frontier.16:26 – Systems with Memory Why “forgetting” systems are failing us — and how memory transforms intelligence.17:56 – Agentic AI: Think, Plan, Act, Execute, Observe, Reflect A full walkthrough of what makes AI “agentic” and where we’re headed next.21:02 – Future of Work and MCP (Multi-Contextual Personas) AI in the workplace isn’t about job replacement — it’s about augmentation.23:45 – 2025: The Year of Agents Why this year will be the breakout moment for agents in enterprise AI.23:58 – The Open Ecosystem Open-source meets enterprise grade. Ruchir breaks it down.26:38 – Agentic AI Leader Final thoughts on leadership in AI and how to stay ahead.💬 Quotes to Remember “Prompt engineering is dead. It’s like writing assembler. You needed it at first. But not anymore.”“The true intelligence lies in systems that can remember — not just respond.”“We’re heading into an era where your agent will know you better than your coworkers do.”🔥 Why You Should Listen If you want a front-row seat to the future of AI — especially in enterprise environments — this is it. Ruchir combines deep tech insights with strategic vision, all while keeping it practical and human. 📩 Subscribe & Stay Ahead Follow us on your favorite platform and never miss an episode that helps you lead with tech — simply. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Part 2 of 2 We’re back with Part 2 of our fascinating conversation with Phanish Puranam, Professor of Strategy and Organizational Design at INSEAD. In this episode, we explore the next frontier: how intelligent algorithms don’t just support organizations—they shape them. From AI ethics and algorithmic bureaucracy to the future of human-AI teams, universal income, and debunking myths, Phanish offers a provocative look at how organizations can—and should—adopt AI in a human-centric way.

⏱️ Chapters 00:12 – Algorithmic Bureaucracy01:23 – AI Ethics04:24 – Blockchain07:51 – AI as Team vs. Individual Agents11:59 – New Skills15:12 – Predictions & Universal Income17:20 – Adopting AI in a Human-Centric Way19:02 – AI Myths🔗 Connect with Phanish Puranam LinkedIn: linkedin.com/in/phanishpuranamWebsite: insead.edu/faculty/phanish-puranamWant to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Join us to learn about how you can migrate virtual machines and deliver AI-enabled applications with Red Hat OpenShift Dedicated on Google Cloud. In this session, we’ll cover a comprehensive set of AI and virtualization technologies on OpenShift Dedicated including: - OpenShift Virtualization to migrate, manage and deploy VMs alongside containers - Red Hat OpenShift AI and IBM watsonx.ai to build, train, test and deploy AI models in the cloud - Google Cloud’s Vertex AI and virtualization capabilities for bare metal infrastructure.

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Boost AI innovation in regulated industries! Use Red Hat OpenShift AI/IBM Watsonx and Vertex AI to split model lifecycles: train securely on isolated OpenShift AI/Watsonx, then deploy via Vertex AI's model registry. Explore use cases, deployment patterns, and the advantages of this approach. Ensure training on a trusted platform for sensitive data. Deploy models easily via Google Cloud's registry. Learn how this MLOps architecture helps meet regulations while leveraging cloud AI.

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Send us a text Part 1 of 2 How do we make organizations not just run — but run intelligently? In this episode of Making Data Simple, we welcome Phanish Puranam, Professor of Strategy and Organizational Design at INSEAD, to explore the intersection of AI, organizational science, and intelligent design. From tools and teammates to blockchain and the metaverse, Phanish walks us through the evolving relationship between humans, algorithms, and the systems we build. We dive into real-world use cases, research-backed insights, and surprising pitfalls — plus a contrarian take on why bad ideas might be the key to better innovation. ⏱️ Chapters 01:50 – Meet Phanish Puranam03:36 – Organizational Design08:39 – Where is Org Design Today12:41 – A Research Example15:59 – Technologies as Tools & Teammates17:54 – A Real Use Case Example20:30 – The Metaverse, Eliminate Bad Ideas Fast21:28 – Pitfalls23:30 – Use Case Deep Dive30:06 – The Power Structure🔗 Connect with Phanish Puranam LinkedIn: linkedin.com/in/phanishpuranamINSEAD Profile: insead.edu/faculty/phanish-puranam#OrganizationalDesign #ArtificialIntelligence #PhanishPuranam #FutureOfWork #AIinBusiness #AlgorithmicOrganizations #Leadership #INSEAD #MakingDataSimple #AIandWork #BusinessStrategy #DigitalTransformation #OrgDesign Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text ✨ Updated April 1, 2025 What do Tickle Me Elmo, bourbon, and Taylor Swift tickets have in common? Scarcity. And in the world of marketing, it's one of the most powerful forces you can harness. This week, we’re throwing it back to one of our most insightful interviews — a conversation with Dr. Mindy Weinstein, Founder and CEO of Market MindShift, marketing professor at Grand Canyon University, Columbia Business School, and Wharton, and author of The Power of Scarcity. We dig into: The psychology behind scarcity and why it drives us to act nowThe four types of scarcity (you’ll want to write these down!)How top brands — and yes, bourbon sellers — use scarcity to spark actionWhy "reaching humans" in digital marketing is more nuanced than everHow you can ethically and effectively use scarcity to boost business results📚 About the Book:  In The Power of Scarcity, Dr. Weinstein combines her background in marketing and psychology to break down how scarcity messaging influences decision-making — and how you can leverage it to drive revenue, deepen loyalty, and create urgency without manipulation. With research, real-world examples, and interviews from brands like McDonald’s and 1-800-Flowers, it’s a must-read for anyone looking to up their marketing game. 📌 Timestamps: 01:41 Meet "Marketer" Mindy Weinstein 04:42 Technology in Marketing 07:50 One of the top women in digital marketing 09:12 The Power of Scarcity 19:16 The Four Types of Scarcity 20:41 Bourbon Scarcity 21:47 Businesses Leveraging Scarcity 🧠 Connect with Dr. Weinstein:  🔗 LinkedIn: linkedin.com/in/mindydweinstein 📘 Book: persuasioninbusiness.com 🌐 Website: marketmindshift.com 🎧 Originally aired: Season 7, Episode 5 Want to be featured on Making Data Simple? Drop us a note at [email protected] and tell us why you should be next! Hosted by Al Martin, WW VP Technical Sales at IBM — where we explore cutting-edge tech, business innovation, and the human side of leadership... all while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text 🎙️ From Host to Hot Seat! This week on Making Data Simple, Al Martin flips the mic and becomes the guest as Ian Smith, co-founder of Lighthouse Technology, steps in to host a fast-paced, thought-provoking episode of the Baseline Podcast. It’s a casual convo with some serious zingers—think startup energy, AI honesty, automation truths, and even a little NFL shoutout. You won’t want to miss this one! 🕒 Episode Highlights 00:52 – How Making Data Simple got started 06:11 – IBM as a Startup?! 08:38 – Why IBM, really 11:49 – Competing with “Real-time” AI 23:20 – How to get clients to truly embrace automation 32:12 – The test AI flunked… but still got a B 🤖 33:06 – GO CHIEFS! 🏈 37:54 – The real IBM use case 47:06 – “Nothing went wrong” (famous last words?) 🔗 Connect with Ian: linkedin.com/in/ian-smith-a803701 🌐 Learn more: baselinepodcast.com 💡 Want to be featured on Making Data Simple? Pitch us your story at [email protected]—we’re always on the lookout for brilliant minds in tech, data, leadership, and innovation. 🎧 Hosted by Al Martin, WW VP Technical Sales, IBM. LinkedIn. Executive Producer, Katherine Mayne LinkedIn. We talk trending tech, bold ideas, and big leadership—all with a focus on keeping it simple and fun. 

MakingDataSimple #BaselinePodcast #TechLeadership #AIConversations #StartupTalk #AutomationInnovation #IBMTech #DataDriven #PodcastGuest #BusinessInnovation #LighthouseTechnology #AlMartin #IanSmith #GoChiefs

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

The integration of AI into everyday business operations raises questions about the future of work and human agency. With AI's potential to automate and optimize, how do we ensure that it complements rather than competes with human capabilities? What measures can be taken to prevent AI from overshadowing human input and creativity? How do we strike a balance between embracing AI's benefits and preserving the essence of human contribution? Faisal Hoque is the founder and CEO of SHADOKA, NextChapter, and other companies. He also serves as a transformation and an innovation partner for CACI, an $8B company focused on U.S. national security. He volunteers for several organizations, including MIT IDEAS Social Innovation Program. He is also a contributor at the Swiss business school IMD, Thinkers50, the Project Management Institute (PMl), and others. As a founder and CEO of multiple companies, he is a three-time winner of Deloitte Technology Fast 50™ and Fast 500™ awards. He has developed more than 20 commercial platforms and worked with leadership at the U.S. DoD, DHS, GE, MasterCard, American Express, Home Depot, PepsiCo, IBM, Chase, and others. For their innovative work, he and his team have been awarded several provisional patents in the areas of user authentication, business rule routing, and metadata sorting. In the episode, Richie and Faisal explore the philosophical implications of AI on humanity, the concept of AI as a partner, the potential societal impacts of AI-driven unemployment, the importance of critical thinking and personal responsibility in the AI era, and much more. Links Mentioned in the Show: SHADOKAFaisail’s WebsiteConnect with FaisalSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision ScientistSign up to attend RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Supported by Our Partners • WorkOS — The modern identity platform for B2B SaaS. • Vanta — Automate compliance and simplify security with Vanta. — Linux is the most widespread operating system, globally – but how is it built? Few people are better to answer this than Greg Kroah-Hartman: a Linux kernel maintainer for 25 years, and one of the 3 Linux Kernel Foundation Fellows (the other two are Linus Torvalds and Shuah Khan). Greg manages the Linux kernel’s stable releases, and is a maintainer of multiple kernel subsystems. We cover the inner workings of Linux kernel development, exploring everything from how changes get implemented to why its community-driven approach produces such reliable software. Greg shares insights about the kernel's unique trust model and makes a case for why engineers should contribute to open-source projects. We go into: • How widespread is Linux? • What is the Linux kernel responsible for – and why is it a monolith? • How does a kernel change get merged? A walkthrough • The 9-week development cycle for the Linux kernel • Testing the Linux kernel • Why is Linux so widespread? • The career benefits of open-source contribution • And much more! — Timestamps (00:00) Intro (02:23) How widespread is Linux? (06:00) The difference in complexity in different devices powered by Linux  (09:20) What is the Linux kernel? (14:00) Why trust is so important with the Linux kernel development (16:02) A walk-through of a kernel change (23:20) How Linux kernel development cycles work (29:55) The testing process at Kernel and Kernel CI  (31:55) A case for the open source development process (35:44) Linux kernel branches: Stable vs. development (38:32) Challenges of maintaining older Linux code  (40:30) How Linux handles bug fixes (44:40) The range of work Linux kernel engineers do  (48:33) Greg’s review process and its parallels with Uber’s RFC process (51:48) Linux kernel within companies like IBM (53:52) Why Linux is so widespread  (56:50) How Linux Kernel Institute runs without product managers  (1:02:01) The pros and cons of using Rust in Linux kernel  (1:09:55) How LLMs are utilized in bug fixes and coding in Linux  (1:12:13) The value of contributing to the Linux kernel or any open-source project  (1:16:40) Rapid fire round — The Pragmatic Engineer deepdives relevant for this episode: What TPMs do and what software engineers can learn from them The past and future of modern backend practices Backstage: an open-source developer portal — See the transcript and other references from the episode at ⁠⁠https://newsletter.pragmaticengineer.com/podcast⁠⁠ — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email [email protected].

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Send us a text 🚀 What’s the secret to building a world-class influencer marketing program? Ryan Debenham, CEO of GRIN, joins Making Data Simple to break down the future of creator-driven marketing, AI’s role in the space, and how GRIN is reshaping brand-influencer partnerships. 💡 From Red Bull’s marketing playbook to a key conversation about the “Secret Sauce”, Ryan shares the insights, technology, and mindset needed to scale a creator-powered brand in today’s digital economy. 🔹 Key Topics: ✅ What makes a great influencer? ✅ How GRIN is redefining the industry ✅ AI’s impact on marketing ✅ The future of remote companies ⌛️Minute Markers 02:11 Meet Ryan Debenham 07:54 Running a Startup 08:46 Modeled after Red Bull 12:01 GRIN 15:44 Influencer Marketing 17:52 Who are the Influencers 18:45 Secret Sauce 22:51 The Technology 24:51 The 2-Min GRIN Pitch 31:16 AI in Marketing 34:32 GRIN's Future 36:06 A Remote Company 38:35 In Closing 📢 Listen now! 🎧 Guest: Ryan Debenham | LinkedIn | Website 🌍 Host: Al Martin, WW VP Technical Sales, IBM | LinkedIn 📩 Want to be a guest? Email us at [email protected] 🔗 Hashtags: #MakingDataSimple #InfluencerMarketing #CreatorEconomy #AIinMarketing #BrandGrowth #MarketingTech #Leadership #GRIN #RyanDebenham Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Innovating on Wall Street: Kristen McGarry on Data, AI, and Technical Sales 🎧 Tune in for an insider’s look at the technical strategies shaping the future of finance. Kristen McGarry, Principal Account Technical Lead for IBM’s Financial Services Market, returns to Making Data Simple to dive deeper into the intersection of technology and Wall Street. Based in NYC, Kristen works with the world’s largest financial institutions to drive innovation, accelerate time to value, and implement cutting-edge solutions across software, hardware, and services. In this episode, we break down the realities of technical sales, the evolving role of data science in finance, and what Wall Street is getting right (or wrong) about AI. Kristen also shares key insights on the challenges of working with financial giants and predictions for the future of tech in banking. ⏱ Episode Highlights: 📍 02:57 – An Intro to Kristen McGarry 📍 04:36 – Why IBM? 📍 09:25 – The Attraction of Data Science 📍 11:51 – A Day in the Life of an Account Technical Leader 📍 13:30 – Technical Sales versus Sales 📍 15:05 – Continuing to Innovate 📍 19:09 – Dealing with Wall Street 📍 20:17 – The Methodology 📍 22:23 – The How of Technical Sales 📍 23:05 – Continuous Learning 📍 28:03 – Management System 📍 30:34 – Wall Street Learnings 📍 32:20 – Biggest Challenge 📍 33:08 – The Data Challenge 📍 34:22 – Best Data Science Use Cases in Finance 📍 36:14 – What Do Clients Miss on AI? 📍 38:09 – Predictions LinkedIn: https://www.linkedin.com/in/kristen-mcgarry/ Website: https://www.ibm.com/

MakingDataSimple #DataScience #AIinFinance #TechSales #WallStreet #IBM #Innovation #FinancialServices #Leadership #ContinuousLearning #AI

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text 🚀 The Coaching Discussion Reprise with Katie McLuckie and a special guest! In this episode, we dive into the value of coaching—what it takes to find the right coach, the ups and downs of the journey, and what to watch out for. If you're considering a business coach, this one's for you! 🎧 Episode Breakdown: ⏱️ 01:33 – Meet Katie McLuckie ⏱️ 04:11 – Transitioning from Urban Planning ⏱️ 07:02 – Finding a Coach ⏱️ 13:34 – A Silly Coaching Example 🤔 ⏱️ 21:10 – The Coaching Folder 📂 ⏱️ 23:33 – The Show After the Show 🎭 ⏱️ 27:05 – Corporate vs. Individual Coaching ⏱️ 29:17 – Red Flags 🚩 ⏱️ 30:50 – The Echo Chamber 🔄 🔗 Connect with Katie: linkedin.com/in/katiemcluckie 🎙️ Want to be a guest on Making Data Simple? 📩 Email us at [email protected] and tell us why you should be next! 🔥 Hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership—all while keeping it simple & fun. Al's LinkedIn: https://www.linkedin.com/in/al-martin-ku  Katherine the "Special Guest"  LinkedIn: https://www.linkedin.com/in/katemayne

MakingDataSimple #Podcast #Coaching #BusinessCoaching #Leadership #CareerGrowth #Innovation #CorporateCoaching #CoachingJourney #TechAndLeadership

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text In this special replay episode of Making Data Simple, Al Martin sits down with Matt Cowell, CEO of QuantHub, to dive deep into data literacy, upskilling, and solving learning challenges. Matt shares his expertise on defining data fluency, the best ways to learn, and how organizations can close the data skill gap. From client use cases to leadership insights, this episode is packed with valuable takeaways for businesses and individuals navigating the data-driven world. Show Notes & Chapter Markers: ⏳ 2:25 – From SVP of Products to Data Learning Business 📊 3:48 – Defining Data Literacy 🎓 5:50 – Teaching the Products 🚧 7:36 – What’s Out of Scope? 🏢 12:50 – Client Use Case 💡 18:07 – Solving Learning Problems 📖 21:14 – What Does a Learning Plan Look Like? 🔍 25:08 – Defining Micro 🧠 30:20 – Best Ways to Learn 📈 33:14 – Measuring Success 💰 34:47 – Venture Capital Funding 🌟 36:10 – Fundamental Leadership Belief 🔑 38:24 – The Most Valuable Leadership Skill 🔗 Connect & Resources: QuantHubMatt Cowell on LinkedInBooks Mentioned: Monetizing Innovation, Ultra LearningConnect with the Team:🎤 Host: Al Martin🎬 Producers: Kate Mayne📩 Want to be a guest? Reach out to [email protected] and tell us why you should be next! 📢 Hashtags:

MakingDataSimple #DataLiteracy #Upskilling #AI #BigData #TechPodcast #Leadership #LearnData #QuantHub

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

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. 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: NVIDIANVIDIA RapidsFew shot learningConnect with Jean-Francois on Linkedin and Kaggle and check out Chris on KaggleCourse: Winning a Kaggle Competition in PythonRelated Episode: Becoming a Kaggle GrandmasterSign up to attend RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Send us a text The master of Artificial Intelligence: Ruchir Puri, Chief Scientist of IBM Research, an IBM Fellow, and Vice-President of IBM Corporate Technology.  AI questions you were afraid to ask, from hallucinations to watsonx. #makingdatasimple #watsonx

Welcome to the enlightening world of AI with Ruchir Puri, the Master of Artificial Intelligence and esteemed guest on our podcast. Join us as we embark on a captivating journey, delving deep into the realms of AI that you've always been curious about but hesitant to ask. From hallucinations to WatsonX, we leave no stone unturned in our quest for knowledge. Ruchir Puri, Chief Scientist of IBM Research and IBM Fellow, as well as Vice-President of IBM Corporate Technology, shares his expertise and insights, unraveling the complexities and potential of AI. Tune in to gain a comprehensive understanding of AI's capabilities and its impact on our lives. Prepare to have your questions answered and be amazed by the wonders of AI.

02:17 Meet Ruchir Puri the "Maker"09:24 A day in the life 14:22 The AI hype 24:21 Why now?27:36 The AI triangle35:57 Why IBM 40:58 Deciding factors43:57 Is bigger better?47:59 Hallucinations 49:53 watsonx52:33 Who are you betting on?54:23 First stepsLinkedIn: linkedin.com/in/ruchir-puri-b117021a Website: https://www.ibm.com/watsonx Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

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? 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 AnthonyAPQCConnect with Cindy and AnthonySkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Research InstituteSign up to RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business