Send us a text Hit replay on this high-energy conversation with Ben Lowe, Founder and CEO of Lighthouse Technology, as he breaks down what it really takes to build something from scratch in a fast-changing AI world. From finding the right co‑founder and stepping into the CEO role, to navigating the toughest challenges of entrepreneurship, Ben shares practical lessons and hard‑won insights for builders at every stage. Ben also lifts the curtain on Lighthouse Technology’s mission at the intersection of cloud modernisation, cost optimisation, and Agentic AI, and how enterprises can turn AI hype into outcomes with the right GTM motion and architecture. If you care about innovation, AI for the enterprise, or your own startup journey, this replay is packed with career gold, strategic perspective, and a candid look at what’s next. 01:34 Finding a Entrepreneurial Partner 04:43 The Creation of Lighthouse 08:10 Becoming the CEO 09:34 The Biggest Challenge of Entrepreneurship 11:30 Lighthouse Technology 19:07 Agentic AI 20:16 The Lighthouse Trajectory 22:12 The GTM 31:39 Reseller versus Innovator 36:53 AI for the Enterprise 41:35 The 2-Min Pitch 43:30 What's True?LinkedIn: https://www.linkedin.com/in/lowebenjamin/?originalSubdomain=uk Website: https://lighthousetechnology.ai/

Entrepreneurship #AgenticAI #TechLeadership #Innovation #BusinessGrowth #CareerAdvice #AIForEnterprise #StartupJourney #MakingDataSimple #LighthouseTechnology #PodcastReplay

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 Hit replay on one of the most thought-provoking Agentic AI conversations on Making Data Simple. GTM Account Director Megan Gallagher makes the case for Agentic AI from the Maven AGI front lines, where AI agents stop following rigid decision trees and start acting with real autonomy over enterprise workflows. “We’re still living like everything is deterministic,” Megan argues, “but this new generation of agents is inherently generative and predictive.” In this replay, she unpacks what that shift means for smaller specialized models, using real enterprise data, rethinking “assistant vs person,” and how to get started without boiling the ocean. If you want to understand how Agentic AI moves from slideware to shipped value, this is the episode to queue up again.

01:30 All Great Podcasts start with Drinks05:27 Maven AGI 09:13 Smaller Models! 10:50 Why Maven AGI12:04 The Secret Sauce or Use Case15:13 Typical Client Persona 20:31 Using Enterprise Data 26:19 But AGI, Really?30:12 Assistant or Person?39:06 What's Next?40:28 My Thoughts on Getting Started?46:30 The AI Example49:30 The Maven AGI Pitch53:23 Learning

Maven AGI: https://www.mavenagi.com/  Megan's LinkedIn: https://www.linkedin.com/in/megfgallagher/ Al's LinkedIn: https://www.linkedin.com/in/al-martin-ku/

AgenticAI #FutureOfAI #MakingDataSimple #MavenAGI #AIAgents #EnterpriseAI #CustomerExperience #AIInProduction #PodcastReplay​

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.

Global enterprises are under pressure to boost productivity, accelerate innovation and lower costs, all while managing complex technology landscapes. Multi-agent AI systems are essential to revolutionizing IT delivery and how industry leaders drive business value. In this session, hear from one of the world’s largest telcos on how they are partnering with Microsoft and IBM to deploy agentic AI to build more resilient and available IT systems that can accelerate innovation at scale.

“On Air at Microsoft Ignite” will deep dive into key announcements with expert interviews, demonstrations, and real-world applications for all the latest news. ​​

Hour 2 will feature:​ Azure Accelerate in action: Confidently migrate, modernize, and build faster: Cyril Belikoff​ Cisco: Patrick Eustace​ Dell: Kenny Lowe​ Build secure agentic AI apps with SQL Server 2025: Sirjad Parakkat & Anna Hoffman​ IBM: Nigel Cain​ PwC: Scott Sikorski

Send us a text Dive into the powerful world of mainframes! Chief Product Officer of IBM Z and LinuxONE, Tina Tarquinio, reveals the truth behind those eight nines of uptime and explores how mainframes are evolving with AI, hybrid cloud, and future-proofing strategies for mission-critical business decisions. 

Discover the cutting-edge innovations transforming enterprise computing—from on-chip AIU and Spyre AI accelerators enabling real-time inferencing at transaction speed, to how LinuxONE is redefining hybrid cloud architecture.  Tina discusses DevOps integration, AI-powered code assistants revolutionizing mainframe development, compelling AI use cases, and shares her bold predictions for the mainframe’s next 100 years.  Plus, career advice from a tech leader and what she does for fun! 00:46 Tina Tarquinio03:18 The Most Mainframe Surprise09:12 What IS the Mainframe Really?  8 Nines!14:40 On Chip AIU, Spyre Inferencing18:11 Mainframes with Hybrid Cloud19:11 The Linux One Pitch19:59 Exciting Mainframe Innovations22:09 DevOps23:36 Code Assistants26:03 AI Use Case27:49 Future Proofing Decisions37:17 Regulations38:45 Bold Prediction38:58 Mainframe 10040:48 Career Advice42:24 For FunLinkedIn: linkedin.com/in/tina-tarquinio Website: https://www.ibm.com/products/z

MakingDataSimple #IBMz #Mainframe #LinuxONE #AIInferencing #SpyreAccelerator #HybridCloud #EnterpriseAI #DevOps #AICodeAssistant #EightNines #TinaTarquinio #MainframeModernization #AIUChip #FutureProofing #TechLeadership #WatsonxCodeAssistant #CloudComputing #TelumII

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.

“On Air at Microsoft Ignite” will deep dive into key announcements with expert interviews, demonstrations, and real-world applications for all the latest news. ​

Hour 1 will feature:​ Security in the agentic AI era: Vasu Jakkal​ Microsoft Credentials for the AI frontier: Elisa Graceffo​ Accessibility in the AI Era: Jenny Lay-Flurrie​ IBM: Chris McGuire & Michelle Pellegrin​ Microsoft Foundry: The AI app and agent factory: Yina Arenas

Un résumé des annonces HashiConf 2025 et les perspectives de synergies IBM/RedHat?HashiCorp.

Phil Gilbert is a recognized leader in design, culture, and organizational transformation, known for driving innovation at IBM, co-chairing IBM's Global Women's Executive Council, and founding the Racial Equity in Design team; NYFA Hall of Fame inductee and Oklahoma Creativity Ambassador.

Send us a text Data’s everywhere, but so often it feels… stuck. Joining us today is Jure Leskovec, Chief Scientist at Kumo and a Stanford Professor who's fundamentally reshaped how we understand networks—from Pinterest's recommendations to tracking the spread of disease. We’ll unpack why structured data is lagging behind the AI revolution, exploring how techniques like Graph Neural Networks are finally unlocking its potential, and how this all plays out in real-world applications

00:57 Meet Jure Leskovec02:31 Knowing When to Move On04:01 Academia versus Industry07:30 Learnings from Pinterest10:28 The Kumo Pitch17:57 The Secret Sauce25:51 Monetization27:12 Only the Enterprise?29:49 The Sandbox to Try Before Buy31:42 The Best Use Cases35:00 Summarizing37:38 Predicting AI40:15 What's True and No One Agrees41:19 Learning

LinkedIn: https://www.linkedin.com/in/leskovec/ Website: https://kumo.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.

IBM keynote

Send us a text Guest: Kris Kluver, Founder of Life on Your Terms — speaker, facilitator, best-selling author, advisor, and coach helping leaders design fulfillment that matches their ambition. Summary: In this powerful replay, Kris Kluver flips the script on success. Too many high performers master their business but neglect their well-being — Kris shows how to align both. From defining what success really means to knowing when to say no, this conversation is about creating freedom, balance, and impact on your terms. Timestamps: 02:39 Who is Kris Kluver, the coach? 05:33 Are A-type personalities ever truly satisfied? 06:23 The evolution of Kris’ brand 12:14 How to grow your business and yourself 20:37 Redefining success 26:09 One action to transform your life 29:59 Just because you can… should you? 31:49 The courage to change 37:39 The Life on Your Terms process 41:31 Rethinking failure 45:59 The offer that changes everything

Linkedin: https://www.linkedin.com/in/kriskluver/ Kris' Website: https://lifeon-yourterms.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.

Send us a text Exploring the intersection of creativity and innovation, Geoff Thatcher, Founder and CCO Creative Principals, shares his insights on how AI is revolutionizing live experiences. From personalized exhibits to universal storytelling, Geoff delves into the possibilities and pitfalls of harnessing AI to elevate our connections with others.  01:39 Introducing Geoff Thatcher  02:48 Thinking about AI Differently  13:47 What Does it Mean to "Create" Now? 19:32 Augmented Intelligence  22:27 Death By PowerPoint  23:57 Five Rules for Using AI  24:47 Difference between Better and Easier? 30:16 Don't Let AI Steal Moments of Inspiration 33:18 Always Use the Most Reliable Source 34:57 Use AI to Tell Stories  37:36 The Worry of Getting Lazy  39:48 Humanizing AI!  LinkedIn: https://www.linkedin.com/in/geoffthatcher/  Website: https://www.creativeprincipals.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.

Send us a text This is one of my favorite episodes - it's all about the story! Part 2 of our conversation with Vinca LaFleur, Founding Partner of West Wing Writers. From the power of ideas to the art of delivery, Vinca shares what it takes to write words that resonate — and why every great message starts with meaning. 00:30 Tricks and tips to a presentation04:14 Speech gotchas07:29 Knowing when you have a hit09:39 How much is delivery11:53 GOAT speech Bobby Kennedy in Indianapolis: https://www.youtube.com/watch?v=A2kWIa8wSC014:49 Gettysburg case study17:11 ChatGPT?20:26 Mental cups26:55 West Wing Writers31:51 Chief34:30 Book recommended most Made to Stick: https://www.amazon.com/Made-Stick-Ideas-SurviveOthers/dp/1400064287 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 We're joined by Douwe Kiela, CEO of Contextual.ai and pioneer in RAG research. From deploying AI agents at Fortune 500 companies to shedding light on data privacy and security, Douwe shares his expertise and insights on how to make data simple, effective, and secure. 00:46 Introducing Douwe Kiela 01:37 RAG - Here to Stay or Go? 06:59 LLMs with Context 08:20 Making AI Successful 10:34 Why Contextual AI? 17:18 LLM versus SLMs 20:28 Speed over Perfection 22:07 Hallucinations 26:02 Making AI Easy to Consume 28:50 Defining an Agent 32:53 Reaching Contextual AI 33:14 The Contrarian View 34:37 The Risks of AI 36:53 For Fun

LinkedIn: linkedin.com/in/douwekiela Website: https://contextual.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.  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, we’re rewinding one of our most talked-about episodes! Richmond Alake, Developer Advocate at MongoDB, joins us to explore how databases power the future of AI. From RAG best practices to the truth behind AGI hype, Richmond breaks down what it takes to build systems that scale — and think. Show Notes 02:05 Meet Rich Alake 03:57 A Developer Advocate at MongoDB 05:57 Passions and Fate! 08:52 AI Hype 13:14 Oh No… AGI Again 17:30 What Makes an AI Database? 20:42 Use Cases 25:41 RAG Best Practices 27:40 The Role of Databases 30:05 Why MongoDB Does It Better 32:43 What’s Next 36:13 Advice on Continuous Learning 38:44 Where to Find RichConnect with Richmond: 🔗 LinkedIn 🌐 MongoDB Website 🧠 Register for MongoDB 🤖 AI Agents Article 💾 Best Repo for AI Developers 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.

• A l’image d’un marché fait d’une diversité de consommateurs et au potentiel infini, L’Oréal, leader mondial de la beauté repousse les limites de l’innovation avec des solutions toujours plus performantes, inclusives et durables.
• C'est fort d'une culture d'entreprise unique et de plus de 115 ans de données dédiées à la beauté que L'Oréal a initié dès 2018 le virage de la Beauty Tech et ainsi fait entrer sa Recherche & Innovation dans une nouvelle ère où l'IA décuple l'intuition et la créativité de ses chercheurs.
•  L'intégration éthique de ces technologies de pointe, menée dans le respect de ses valeurs, confère à ses 4 000 chercheurs partout dans le monde une capacité d'innovation plus différenciante, rapide et performante.
• Au-delà de l'optimisation, c’est une réinvention qui s’opère au sein de sa Recherche & Innovation. Les ambitions sont renouvelées, notamment en matière de prédictivité, grâce à son partenariat inédit avec IBM.

Une part essentielle des données stratégiques réside dans des systèmes critiques et de production (tels que IBM i, Oracle, SAP, SQL Server...) . Les extraire sans perturber la production est l’un des obstacles majeurs aux initiatives de modernisation.

Cette démonstration montrera comment la réplication de données permet de :

• Diffuser la donnée en temps réel sans impact sur les opérations,

• Consolider les données dans Snowflake, BigQuery ou les Data Lake pour l’analyse et l’IA,

• Réduire les coûts d’intégration et limiter les risques projets.

Une session de 30 minutes avec démonstration et temps de questions-réponses.

Découvrez comment un centre de support a transformé son efficacité opérationnelle grâce à une solution innovante basée sur IBM watsonx. Ce retour d’expérience met en lumière l’intégration d’agents intelligents capables de :

  - Identifier automatiquement les tickets à traiter à partir d’un simple ID,

  - Rechercher les 5 cas les plus similaires déjà résolus,

  - Générer une synthèse de résolution probable à forte valeur ajoutée,

  - Assister le technicien en lui proposant une aide contextualisée et des cas similaires consultables.

Une démonstration concrète de l’impact de l’IA générative sur la productivité des équipes support, la réduction des temps de traitement et l’amélioration de la satisfaction client.