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L’IA agentique transforme l’informatique et exige des architectures pour agents autonomes et orchestration dynamique. Sans données fiables et utiles, elle ne fonctionne pas. Les plateformes de données sont donc essentielles.
IBM Consulting propose pratiques, architectures et outils pour accélérer cette transformation, présentés ici.
Dans un contexte où les volumes de données explosent et où l’agilité est clé, IBM révolutionne l’intégration de données avec l’intégration de StreamSets dans watsonx.data.
Cette nouvelle offre unifiée permet de concevoir des pipelines intelligents, réutilisables et résilients face aux évolutions technologiques. Grâce à une interface low-code et une prise en charge hybride multicloud, les équipes peuvent orchestrer des flux de données en temps réel, quel que soit le format ou la source. L’approche élimine la dépendance aux outils spécialisés, réduit les coûts de maintenance et accélère les projets d’IA.
L’atelier mettra en lumière des cas d’usage concrets : détection de fraude, expérience client enrichie, et intelligence opérationnelle.
Venez découvrir comment simplifier vos architectures de données tout en boostant vos capacités analytiques.
Une démonstration live illustrera la puissance de cette nouvelle synergie. Préparez-vous à transformer vos pipelines en leviers d’innovation.
Les entreprises recherchent la souveraineté dans un IT hybride et hétérogène. Les agents autonomes orchestrent applications et technologies. IBM accompagne cette transition avec expertise et cas concrets (banque, parfumerie, restauration, électroménager) pour renforcer savoir, créativité, opérations et expérience client. L’IA complete l’humain, sans le remplacer.
"L’intelligence artificielle promettait de révolutionner la manière dont les entreprises innovent, produisent et prennent des décisions. Mais la réalité s’impose : les projets d’IA, notamment ceux liés aux agents autonomes, ne tiennent pas toujours leurs promesses. Selon les dernières prévisions du cabinet Gartner, plus de 40 % des initiatives d’IA agentique seront annulées d’ici fin 2027.
Les raisons sont claires : des coûts qui s’envolent, une valeur métier difficile à démontrer, et une gestion des risques encore trop immature.
Résultat, selon IBM, seulement 25% des projets d’IA délivrent le ROI attendu.
Face à cet essoufflement progressif, il devient urgent de repositionner l’IA, non plus comme un rêve technologique, mais comme un investissement qui doit être rigoureusement maîtrisé.
Cette présentation propose une approche pragmatique : comment garder le contrôle économique et opérationnel de ses projets IA, en particulier dans un contexte d’innovation rapide et parfois instable.
Cette session décrypte comment il est possible de reprendre le contrôle sur les coûts des projets IA, en mettant en lumière des problématiques clés souvent sous-estimées :
•Des coûts IA fragmentés et sous-évalués
•Une consommation d’IA rapide, difficile à anticiper
•Des difficultés à adopter et à mesurer l’usage."
Dans un contexte de forte pression opérationnelle, l’administration française a su innover pour améliorer la qualité de service tout en optimisant ses ressources. Grâce à la plateforme d’IA développée par ATHENA Decision Systems – combinant LLM, moteur de règles et orchestration intelligente – le projet DELPHES permet de traiter plus rapidement et équitablement les demandes des usagers étrangers en préfecture.
Cette solution, fondée sur l’IA de confiance d’IBM, démontre comment l’automatisation responsable, sous supervision humaine, peut transformer des processus complexes, réduire les délais, améliorer la satisfaction client et limiter les coûts.
Un retour d’expérience concret, inspirant pour les organisations publiques comme privées, confrontées à des enjeux similaires de volume, de qualité de service et de conformité. Venez découvrir comment cette approche peut s’adapter à vos propres défis métiers.
Send us a text Replay Episode: Python, Anaconda, and the AI Frontier with Peter Wang Peter Wang — Chief AI & Innovation Officer and Co-founder of Anaconda — is back on Making Data Simple! Known for shaping the open-source ecosystem and making Python a powerhouse, Peter dives into Anaconda’s new AI incubator, the future of GenAI, and why Python isn’t just “still a thing”… it’s the thing. From branding and security to leadership and philosophy, this episode is a wild ride through the biggest opportunities (and risks) shaping AI today. Timestamps: 01:27 Meet Peter Wang 05:10 Python or R? 05:51 Anaconda’s Differentiation 07:08 Why the Name Anaconda 08:24 The AI Incubator 11:40 GenAI 14:39 Enter Python 16:08 Anaconda Commercial Services 18:40 Security 20:57 Common Points of Failure 22:53 Branding 24:50 watsonx Partnership 28:40 AI Risks 34:13 Getting Philosophical 36:13 China 44:52 Leadership Style
Linkedin: linkedin.com/in/pzwang Website: https://www.linkedin.com/company/anacondainc/, https://www.anaconda.com/ 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.
Joseph Toma is the Cloud and AI Director for Media and Communications. Joseph’s career spans across enterprise, scale-up, and start-up environments, most notably as the CEO of Jugo, an innovative AI SaaS platform. His tenure as Managing Partner at Kyndryl and various leadership roles at IBM, including Hybrid Cloud and Red Hat Sales Director, took him to three continents and has equipped him with a unique perspective that shapes his approach to supporting customers. Joseph is based in London where he lives with his wife, young child, and cavapoo.
Send us a text This week on Making Data Simple, join Ajay Kulkarni, CEO and co-founder of TigerData, as we dive into the rapidly evolving world of data. Ajay shares his front-row perspective on the challenges and opportunities of building and scaling time-series databases in an era of AI-driven automation. From the mechanics of managing massive data streams to the bold bets shaping the future of IoT, this conversation goes deep into what’s breaking, what’s working, and what’s next. Whether you’re a data engineer, tech leader, or simply fascinated by the speed of AI innovation, this episode is packed with insights you won’t want to miss. 01:15 Meet AJ Kulkarni04:29 TigerData07:16 Timeseries 09:25 Use Cases 11:03 Why Progress? 11:58 Why TigerData16:05 AI is Everything21:06 The Fastest Postgres 25:45 Advanced Features28:53 Future of IOT36:48 The Future of TigerData38:03 San Francisco38:26 A Big Bet41:06 Good BooksLinkedIn: https://www.linkedin.com/in/ajaykulkarni/ Website: https://tigerdata.com 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 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 directly to databases—but they're far from perfect. How do you maintain the right balance between leveraging AI capabilities and preserving your fundamental skills? As data teams face mounting pressure to deliver AI-ready data and demonstrate business value, what strategies can ensure your work remains trustworthy? With issues ranging from biased algorithms to poor data quality potentially leading to serious risks, how can organizations implement responsible AI practices while still capitalizing on the positive applications of this technology? Christina Stathopoulos is an international data specialist who regularly serves as an executive advisor, consultant, educator, and public speaker. With expertise in analytics, data strategy, and data visualization, she has built a distinguished career in technology, including roles at Fortune 500 companies. Most recently, she spent over five years at Google and Waze, leading data strategy and driving cross-team projects. Her professional journey has spanned both the United States and Spain, where she has combined her passion for data, technology, and education to make data more accessible and impactful for all. Christina also plays a unique role as a “data translator,” helping to bridge the gap between business and technical teams to unlock the full value of data assets. She is the founder of Dare to Data, a consultancy created to formalize and structure her work with some of the world’s leading companies, supporting and empowering them in their data and AI journeys. Current and past clients include IBM, PepsiCo, PUMA, Shell, Whirlpool, Nitto, and Amazon Web Services.
In the episode, Richie and Christina explore the role of AI agents in data analysis, the evolving workflow with AI assistance, the importance of maintaining foundational skills, the integration of AI in data strategy, the significance of trustworthy AI, and much more.
Links Mentioned in the Show: Dare to DataJulius AIConnect with ChristinaCourse - Introduction to SQL with AIRelated Episode: The Data to AI Journey with Gerrit Kazmaier, VP & GM of Data Analytics at Google CloudRewatch RADAR AI
New 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
Send us a text What if AI could tap into live operational data — without ETL or RAG? In this episode, Deepti Srivastava, founder of Snow Leopard, reveals how her company is transforming enterprise data access with intelligent data retrieval, semantic intelligence, and a governance-first approach. Tune in for a fresh perspective on the future of AI and the startup journey behind it.
We explore how companies are revolutionizing their data access and AI strategies. Deepti Srivastava, founder of Snow Leopard, shares her insights on bridging the gap between live operational data and generative AI — and how it’s changing the game for enterprises worldwide. We dive into Snow Leopard’s innovative approach to data retrieval, semantic intelligence, and governance-first architecture. 04:54 Meeting Deepti Srivastava 14:06 AI with No ETL, no RAG 17:11 Snow Leopard's Intelligent Data Fetching 19:00 Live Query Challenges 21:01 Snow Leopard's Secret Sauce 22:14 Latency 23:48 Schema Changes 25:02 Use Cases 26:06 Snow Leopard's Roadmap 29:16 Getting Started 33:30 The Startup Journey 34:12 A Woman in Technology 36:03 The Contrarian View🔗 LinkedIn: https://www.linkedin.com/in/thedeepti/ 🔗 Website: https://www.snowleopard.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 🎙️ This week on Making Data Simple: Fred Joyal — you may know him from the iconic 1-800-DENTIST commercials. Today, Fred takes us beyond marketing genius into the art of being BOLD. Show Notes 02:20 – Brand Fred Joyal19:20 – Monetization Strategy20:58 – Boldness as a Superpower23:18 – Just Show Up26:15 – Step Up with Exercises27:00 – Failures are Steps Up: Take Another Swing38:50 – 5 Steps to Lowering Anxiety41:50 – How to Better Network💡 Boldness, resilience, and practical strategies you can use today — this episode is packed with insights that will help you step up in work, leadership, and life. Find Fred Joyal @ https://fredjoyal.com/ LinkedIn: linkedin.com/in/fredjoyal Twitter: fredjoyal
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 Get ready for an insightful conversation on the future of data integration and real-time decision making with Dima Spivak, Director of Product Management at StreamSets. We cover everything from the “why StreamSets” story to its secret sauce, how it plays in regulated industries, and what makes it a powerful player in data fabric, AI, and streaming use cases. If you’re passionate about the future of data pipelines, governance, and AI-driven insights, this one’s for you! ⏱️ Episode Guide: 02:02 | Meet Dima Spivak04:19 | Why StreamSets?06:00 | What is StreamSets?09:48 | On-Demand Expense11:34 | Regulated Industries12:36 | The Secret Sauce14:41 | A Competitive View15:50 | Data Fabric + StreamSets18:25 | StreamSets + AI21:12 | Use Cases That Matter24:02 | The Future of Streaming25:48 | Quality + Testing31:19 | For Fun 🎉🔗 Connect with Dima: LinkedIn: linkedin.com/in/dmitryspivak Website: https://www.ibm.com/blog/announcement/ibm-acquires-streamSets/ 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 Ready to reclaim your time and live with intention? In this episode, Katherine Mayne sits down with Jacob Hicks, Coach and Speaker, to explore the intersection of productivity and intentional living. We dive into the tools, habits, and strategies that can help you master time management, optimize your workflow, and unlock your full potential. From the Four Disciplines of Execution to Atomic Habits and the role of AI in coaching, Jacob shares practical, real-world insights you can put into action today. Whether you’re a leader, entrepreneur, or simply looking to get more out of your day, this conversation will give you the frameworks and mindset shifts you need. 🕒 Episode Timestamps 01:34 Meet Jacob Hicks 04:12 Mastering Time Management via WPRI 14:01 Four Disciplines of Execution 15:12 Time Management Misconceptions 21:30 What Stops People from Managing Time 23:32 Tools and Giving AI a Role 26:31 Atomic Habits 28:11 What to Stop 29:36 Coaching and AI 31:05 Jacob's Coaching Business
🔗 Connect with Jacob Hicks LinkedIn: Jacob HicksWebsite: jacobhickscoach.comPodcast: Purpose Driven Progress
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 Episode Description: Taking a break doesn’t mean you miss the good stuff. Last year, while I was on a much-needed vacation, I invited one of my favorite coaches back on the mic — Lynne Snead, Principal & Owner of Talent Evolution Systems. Lynne walks us through the Three Circles Model — a powerful framework for maintaining focus, expanding influence, and leading with intention. We explore what separates managers from true leaders, the role of mindset and energy in influence, and why how you speak to yourself matters just as much as how you speak to others. If people would follow you even if they didn’t have to… that’s leadership. Timestamps: 02:47 Meet Lynne Snead Again 03:47 The Circles Model 09:30 The Circle of Personal Control 14:05 It’s the How You Say It, Also to Yourself! 20:43 Thought Management 22:53 Leadership = Influence 25:08 A Manager vs a Leader 27:05 Mindset & Energy 29:59 Stress 31:11 Atomic Habits 33:47 Mindmapping 36:19 Emotional Intelligence 39:38 Read, Study, Learn or Be Left BehindReading List: Stephen Covey – The 7 Habits of Highly Effective PeopleJames Clear – Atomic HabitsJohn A. Daly – Advocacy: Championing Ideas and Influencing OthersGuest Links: Lynne Snead on LinkedInTalent Evolution SystemsSocial: #Leadership #ReplayEpisode #MakingDataSimple #ExecutiveCoaching #Influence #Focus #LeadershipDevelopment #MindsetMatters #PersonalGrowth #AtomicHabits #EmotionalIntelligence #CareerGrowth 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 Episode Description (Show Notes): Step into the world of IBM Power Systems with insider insights from Tom McPherson, former GM of IBM Power. In this conversation, Tom shares leadership lessons, debunks common misconceptions, and dives deep into the innovations shaping the future of Power infrastructure. From AI integration to hybrid cloud strategies, competitive positioning to compelling client use cases — it’s a powerhouse discussion you won’t want to miss. Timestamps: 00:49 Meet Tom McPherson 03:00 Leadership Advice 04:58 Hobbies 07:53 IBM Power 10:24 Power 11 13:53 Common Misconception 14:39 Favorite Power Features 21:51 Promise to Profits of AI 25:28 Hybrid Cloud 27:34 Power Competitors 28:36 Compelling Use Cases 29:51 The Future of Power 31:20 Rapid Fire 33:51 Business Partners in Power 35:16 LeadershipGuest Links: 🔗 Tom McPherson on LinkedIn 🌐 IBM Power Systems Social: #IBMPower #Leadership #HybridCloud #AI #EnterpriseTech #TechInnovation #MakingDataSimple #PowerSystems #BusinessStrategy #DigitalTransformation #CloudComputing #AIinBusiness 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 🎙 Replay Alert: Symbolic AI, QLattice, and Mind-Bending Ideas with Casper Wilstrup We’re bringing back one of our most thought-provoking episodes! Join us for a replay with Casper Skern Wilstrup, CEO of Abzu and the mind behind QLattice. We dive into Symbolic AI, the why behind Abzu, and Casper’s wild take on consciousness, simulation theory, and panpsychism. It’s science, AI, and philosophy in one unforgettable conversation. Grab a drink, sit back, and prepare to have your mind blown — again. 🔹 Timestamps: • 01:39 Introducing Casper Wilstrup • 06:34 Abzu the Name • 09:09 Abzu the Mission • 12:32 Symbolic AI • 22:20 Foundational Models? • 24:42 The QLattice Explanation • 26:33 Abzu Use Cases • 30:57 More on QLattice • 32:52 The Abzu Pitch • 34:56 Reaching Abzu • 36:10 Are We in a Simulation? • 38:03 Panpsychism 🤯 • 43:03 For Fun 🔗 LinkedIn: Casper Wilstrup 🌐 Website: abzu.ai Hashtags: #ReplayEpisode #MakingDataSimple #SymbolicAI #QLattice #AbzuAI #ArtificialIntelligence #AIPhilosophy #Panpsychism #SimulationTheory #AIandScience #DataPodcast
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 Deep Diving into the future of AI:
Join Dr. Sean Falconer — AI Entrepreneur in Residence at Confluent, software engineering leader, and developer relations expert — for a deep dive into the future of AI, data streaming, and what it really means to build at the edge of innovation. From managing multiple LLMs to testing autonomous agents and sharing his bold contrarian takes, Sean helps us simplify the complexity of today's tech. 📌 Timestamps 04:38 – Meet Sean Falconer 11:11 – Lifelong Learning 12:31 – AI Entrepreneur in Residence 16:28 – Multiple LLMs in Action 21:07 – The Tech Behind Confluent 25:51 – Why Sean Chose Confluent 28:40 – Invest or Short? 36:58 – Testing Agents IRL 40:51 – The Contrarian AI Take 42:27 – Looking Ahead: The Future of AI🔗 Connect with Sean: LinkedInSubstackMedium
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 She’s the legal powerhouse behind IBM’s AI ethics strategy — and she makes law fun. In this encore episode, we revisit a fan favorite: Christina Montgomery, formerly IBM’s Chief Privacy and Trust Officer, now Chief Privacy and Trust Officer, GM. From guarding the gates of generative AI risk to advising on global regulation, Christina gives us a front-row seat to what’s now, what’s next, and what needs rethinking when it comes to trust, synthetic data, and the future of AI law. 📍 Timestamps: • 01:00 Christina Montgomery! • 04:36 My Daughter and the Bar • 08:36 Chief Privacy and Trust Officer • 11:37 Keeping IBM Out of Trouble • 13:34 Client Conversations • 16:23 Where to Be Bullish and Bearish • 20:52 The Risks of LLMs • 24:21 NIST and AI Alliance • 28:26 AI Regulation • 36:13 Synthetic Data • 38:00 Misconceptions • 40:07 Worries • 41:27 The Path to AI • 43:13 Aspiring Lawyers 🔗 Christina on LinkedIn 🌐 IBM AI Ethics 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 AI Advantage: Get Better Results from LLMs with the Perfect Prompt On this episode of Making Data Simple, we’re joined by Jonathan Mast, AI consultant and coach at Whitebeard Strategies and creator of the Perfect Prompting Framework™. Jonathan’s not just riding the AI wave—he’s teaching business leaders and everyday users how to surf it, with simple, actionable tools that unlock meaningful results from large language models. If you've ever stared at a prompt box wondering what to type—or worse, gotten garbage back from AI—this episode is for you. We talk about what works, what doesn’t, and what’s coming next (agents, anyone?). Plus, Jonathan breaks down his 4-step framework that’s helping 300K+ community members and clients scale AI with clarity and confidence. ⏱️ Episode Timestamps 01:34 Introducing Jonathan Mast04:13 Digital Agency05:29 Whitebeard Strategies08:06 ADD09:57 Back to Whitebeard14:51 The Perfect Prompting Framework21:36 The Four Step Method24:58 What if You Don't Use AI?28:37 Agents30:08 Whitebeard Engagements32:42 Getting Started36:39 What's True But Not a Consensus?37:23 For Fun🔗 Connect with Jonathan LinkedIn: https://www.linkedin.com/in/jonathanjmast/Website: https://whitebeardstrategies.com#MakingDataSimple #PerfectPromptingFramework #AIforBusiness #AIProductivity #JonathanMast #PromptEngineering #LLMs #AIAgents #WhitebeardStrategies #TechPodcast #DataSimplified 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.
Women remain critically underrepresented in data science and Python communities, comprising only 15–22% of professionals globally and less than 3% of contributors to Python open-source projects. This disparity not only limits diversity but also represents a missed opportunity for innovation and community growth. This talk explores actionable strategies to address these gaps, drawing from my leadership in Women in AI at IBM, TechWomen mentorship, and initiatives with NumFOCUS. Attendees will gain insights and practical steps to create inclusive environments, foster diverse collaboration, and ensure the scientific Python community thrives by unlocking its full potential.