Making Data Simple

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We dive into the exciting world of autonomous AI agents with Matt Glickman, Co-Founder & CEO of Genesis Computing. Join us as we explore how this technology is shifting the role of the data engineer and redefining what's possible.

• 02:36 Meet Matt Glickman
•  09:32 Frontier Models
•  17:14 The Origination of Genesis
•  18:51 What is an Autonomous Agent
•  30:25 Machines Have Our Code!
•  32:32 Genesis's AI Level?
•  34:54 Autonomous Agent Quality Control
•  38:30 Genesis Differentiators
•  40:58 The Pace of Finance and Healthcare
•  42:17 The Future of Data Engineers
•  44:06 Rapid Fire Questions

LinkedIn: https://www.linkedin.com/in/matthewglickman
Website: https://genesiscomputing.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. 

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Making Data Simple sits down with Dave Trieer, CEO of ModelOp, to explore the
rapidly evolving world of AI – particularly what happens when it starts acting
autonomously. From safely deploying AI in regulated industries to navigating
critical governance challenges, Dave offers invaluable insights on this
transformative technology.

• 01:22 Meet Dave Trier
• 04:22 The Terminator is Coming
• 10:33 The Definition of Autonomous
• 12:15 Pushing AI into Production
• 17:33 AI Misconceptions
• 21:12 Use Case Qualification
• 22:53 ModelOp Value Prop
• 29:59 The "One Thing" with AI Governance
• 33:13 AI Regulation
• 36:47 Predicting AI
• 39:45 Lightening Round

LinkedIn: linkedin.com/in/davidetrier
Website: https://www.modelop.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. 

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In case you missed it....For the Electrical Engineers in Test out there, this is your episode.  Todd VanGilder, CTO and CRO, and Ryan Smith, Tech Fellow, for Genuen join the podcast to talk about achieving reliable performance through Systems Engineering and Custom Test Equipment.  And their secret sauce: Replica.

• 02:26 Meet Genuen Leaders
• 08:33 Boeing
• 09:21 Genuen
• 15:11 2-min Pitch
• 16:11 Client Profile
• 18:25 Use Cases
• 23:00 Replica
• 33:10 Reflective Memory Secret Sauce
• 37:16 Monetizing Replica
• 40:06 Coolest Use Case
• 41:42 True but No One Agrees

Linkedin: linkedin.com/in/todd-vangilder, linkedin.com/in/hryansmith Website: https://www.genuen.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. 

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In case you missed it.....

RAG didn't just survive the LLM boom — it became the backbone of how enterprises put AI to work. In this replay, we sit down with Douwe Kiela, the AI researcher who led the team that introduced Retrieval-Augmented Generation in 2020 and went on to co-found Contextual AI. Douwe unpacks whether RAG is here to stay, why most enterprise AI dies in the gap between a great demo and production, how to tame hallucinations, and what actually separates a real "agent" from the buzzword. A clear-eyed conversation on building AI that's grounded, useful, and safe to deploy.

• 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: 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. 

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In case you missed it....

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 Hicks
• Website: jacobhickscoach.com
• Podcast: 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. 

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Most people building with AI are working from the same playbook. Dr. Sean Falconer isn't.

As AI Entrepreneur in Residence at Confluent, Sean sits at the intersection of real-time data streaming and production AI — where the decisions get hard and the stakes are real. In this episode, he and Al get into what it actually looks like to run multiple LLMs simultaneously, what happened when Sean tested autonomous agents in real-world conditions, and why some of the loudest claims in AI deserve a second look.

Sean also pulls back the curtain on Confluent's technology, explains why he chose the company, and shares his framework for thinking about where AI is actually headed — not where the headlines say it is.

If you want a grounded, experienced perspective on building at the edge of AI innovation — from someone who is doing it — this one is worth a replay.

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

Guest Links

LinkedIn: linkedin.com/in/seanf/

Substack: softwarehuddle.substack.com/

Medium: seanfalconer.medium.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. 

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Your Brain Generates Data. Are You Using It? 

Your brain is producing data every second. The question is whether anyone is actually reading it — and what happens when AI starts to.

In this episode, Al sits down with Dr. Nicholas Dogris and Dr. Tiff Thompson, the founders behind the NeuroField ecosystem — a triad of companies applying advanced neuroscience data to brain health, diagnosis, and treatment. Together, they've built tools and methodologies that are changing how clinicians understand and measure what's actually happening inside the brain.

The conversation covers how data is reshaping diagnostic accuracy, what AI is making possible in neurotherapy, and why defining a 'healthy brain' is more complex — and more important — than most people realize. Dr. Dogris and Dr. Thompson also walk through Independent Component Analysis and how the NeuroField approach brings together technology, clinical practice, and education under one roof.

If you've ever wondered what's actually happening when brain data gets analyzed — or what the future of neuroscience-driven healthcare looks like — this episode will change the way you think about the most complex data source you own.

Timestamps

• 01:55  Meet Dr. Tiff Thompson
• 04:04  Meet Dr. Nicholas Dogris
• 11:38  Why Neuroscience?
• 19:26  The Spectrum of Topics
• 21:24  A Triad of Companies
• 22:13  The Data Doesn't Lie
• 30:28  Diagnosis Accuracy
• 33:01  AI in Neurotherapy
• 36:28  Independent Component Analysis
• 38:43  Defining a Healthy Brain
• 40:27  Finding Tiff and Nicholas
• 40:59  Brain Answers, Rapid Fire

Guest & Resource Links

Dr. Nicholas Dogris — LinkedIn: linkedin.com/in/nicholas-dogris-ph-d-a4787113

Dr. Tiff Thompson — LinkedIn: linkedin.com/in/tiff-thompson-phd-2ab1525

NeuroField: https://neurofield.com/

NeuroField Neurotherapy: https://www.neurofieldneurotherapy.com/

School of Neurotherapy: https://www.schoolofneurotherapy.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. 

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The database has always needed a human hand — someone to tune it, protect it, and keep it running. But what if AI could do most of that work autonomously? And if it can, what does that mean for the people who've built careers doing exactly that?

In this episode, Al sits down with Satya Krishnaswamy, Director at IBM, to explore IBM's Db2 Genius Hub — a bold step toward autonomous database management powered by AI agents. Satya breaks down what it actually means for a database to run itself, how IBM is thinking about the levels of AI autonomy, and where the human still needs to stay in the loop.

They get into the real questions: How many AI agents does it take to manage a modern database? When should you let the system decide — and when should you keep your hand on the wheel? And what happens to the DBA role as automation handles more of the heavy lifting?

If you work in data, lead a data team, or just want to understand where enterprise database technology is actually headed — this one is worth your time.

Timestamps

• 02:14  Introducing Satya
• 05:23  Db2 Genius Hub
• 06:47  The State of the DB Industry
• 07:34  The Fate of DBAs
• 10:24  15 Agents
• 12:47  AI DB Autonomy Levels
• 15:52  When Should DBs be Autonomous
• 23:42  Taking Advantage of Db2 AI
• 27:32  Human in the Loop, or Not
• 36:32  Db2 Advancements in Summary
• 38:19  The Client Challenge
• 41:04  For Fun

Guest Links

LinkedIn: linkedin.com/in/satya-krishnaswamy-b412265b

Product: https://www.ibm.com/products/db2-genius-hub

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. 

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Raffi Khatchadourian, Account Technical Leader at IBM, shares his expertise - from AI deployments to infrastructure and more. Raffi dives into the latest trends and insights in the field of artificial intelligence and data science. Tune in for practical advice and real-world examples from a leading expert in the industry.

01:37 Meet Raffi

05:43 Success AI Deployments

13:08 Replayability

22:22 AI, A Services PoV

25:52 Small Models vs Large Models

29:04 Infrastructure's Impact on AI

32:37 Mac Minis

34:43 Guardrails

36:58 Rapid Fire Questions

LinkedIn: linkedin.com/in/raffi-khatchadourian

Website: https://www.ibm.com/think/artificial-intelligence

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 Fan Mail

From Sovereign AI to Social Impact: The Big Shifts You Need to Watch with IBM VP and CTO of IBM Canada, Manav Gupta

Manav Gupta, Vice President & CTO at IBM Canada, returns to the podcast to unpack the fast-changing landscape of artificial intelligence. From keeping a technical edge to navigating the rise of sovereign AI, Manav shares insights on how emerging trends are shaping both industry and society.
Timestamps

•  01:25 – Manav Gupta is back!
•  02:39 – Maintaining your technical edge
•  04:38 – Ship AI
•  05:58 – The state of AI
•  19:37 – Reason for concern?
•  30:35 – Does the U.S. lead the race?
•  41:30 – LLMs or SLMs?
•  44:22 – Sovereign AI
•  46:05 – The social impact

Previous episode: How to Choose, Use, and Trust AI Models with Manav Gupta
Connect with Manav on LinkedIn: linkedin.com/in/mgupta76

#SovereignAI #AISocialImpact #AITrends #FutureOfAI #EthicalAI #AIPodcast #TechPodcast #SpotifyPodcast #ApplePodcasts #TechLeaders.

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.