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Orchestrate all the Things

Orchestrate all the Things

Hosted by George Anadiotis

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Episodes

134

Latest episode

Jul 2026

Language

EN

About the show

Stories about Tech, Data, AI and Media, and how they flow into each other shaping our lives. Some might call this futurism; let’s just say it’s connecting the dots. With George Anadiotis : Analyst, Consultant, Engineer, Founder, Host, Researcher, and Writer. 1-1s with esteemed guests; from the likes of Gary Marcus and Andrew Ng to emerging thinkers and innovators across multiple domains. My stories have been featured on ZDNet and VentureBeat , and are syndicated across DZone , Hackernoon , Medium and Substack . The show and its themes have evolved over 7 seasons and ~150 episodes. Many conversations have a technical focus. Most also examine business perspectives and use cases, while others are socio-technical. Some are analyses on emerging themes – picking them up early, featuring expert comment, or offering alternative takes. Others cover breaking news, typically also featuring the people behind them plus some analysis. There are some book reviews as well. I focus on the connection between data, analytics, data science, graphs, machine learning and AI and their impact on society and business. I have been covering topics related to: AI and Machine Learning Data, Analytics and Data Science Knowledge Graphs, Graph Databases, Graph AI & Data Science Innovation, and a wide array of technologies such as Blockchain, Cloud, Observability, IoT, Open Data and Open Source, Social Media and Software Engineering. For inquiries, please use https://linkeddataorchestration.com/contact/

Listen to episodes

60 recent
July 23, 2026Episode 642 min

The Skill, Not the Stack: A Decade Ahead on Decision Intelligence. Featuring Fred Laluyaux, Aera Technology Founder & CEO

Talk about what the technology can do, not how it does it. That's the decision Fred Laluyaux made with Shariq Mansoor when they founded Aera ten years ago, and it's still how the company talks about its decision intelligence platform today. Decisions sit at the center of what Aera builds. Aera automates, augments, and digitizes the thousands of decisions companies make every day to run their business. Aera pioneered the decision intelligence category years before generative AI gave the industry a vocabulary for it: agents, skills, memory, decision traces, context – graphs even. From the start, Aera was conceived as an agent, in the spirit of the digital assistants of that era. Laluyaux championed the word "skills" years before the major AI players made it common currency. He co-founded Aera in 2016, before GenAI and large language models, and has served as CEO since. In this conversation, Laluyaux traces the arc from DJing in Paris to building SAP's finance line of business to Aera's decade-long bet that decisions -- not dashboards -- are the unit that matters. And why, he argues, letting AI take on more of the decision doesn't have to mean losing control. Laluyaux's analogy: he trusts a Waymo with his kids more than an Uber driver because he can see exactly how each choice is made. That is what decision intelligence is really about. This episode is brought to you by Aera Technology: https://www.aeratechnology.com

June 1, 2026Episode 51 hr 2 min

Fair Patterns: Designing for Human Autonomy in the Age of AI. Featuring Marie Potel-Saville, Fair Patterns Co-Founder & CEO

We live in a world fraught with interfaces designed to work against you. Most people sense it. Few can prove it, and fewer still are trying to fix it.  There is a particular kind of frustration that arrives when you understand a problem perfectly and cannot do a single useful thing about it. Marie Potel-Saville spent years living inside that frustration. First as a competition lawyer cycling through antitrust litigation across Europe. Then as in-house counsel watching the law get treated as a cost center. She pivoted, trained in innovation by design, and launched her first company in 2018. Potel-Saville was looking for the gap between what the law said and what the internet did to people. She found it immediately. The term was “dark patterns.” And her first instinct – the instinct of a lawyer and a builder – was to ask a question nobody in the field had thought to ask: what’s the antidote? That question eventually became Fair Patterns, a multimodal AI platform that detects online manipulation and addictive design at scale. Fair Patterns went live in January 2026, and recently won the 2026 Digital StartUp award in cybersecurity and sovereignty. It is trying to redefine digital products and online experiences. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/06/01/dark-pattern-detection-how-fair-patterns-uses-ai-to-fight-back/

April 16, 2026Episode 458 min

The Engineer in the Machine: How Neo Is Rewriting What It Means to Build AI. Featuring Gaurav and Saurabh Vij, Neo Co-Founders

A fully autonomous machine learning engineering agent. A benchmark that matters. And a question that cuts deeper than the hype: when a machine does the work, what happens to the learning part? The race to automate software engineering is expanding to new territory: machine learning.  Neo is a fully autonomous machine learning engineering agent that handles the entire pipeline from problem statement to deployed model. Built by Gaurav and Saurabh Vij, Neo topped the MLE-Bench leaderboard and compressed a six-month production effort into one week. The harder question Neo raises - whether agentic AI accelerates learning or hollows it out - remains open. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/04/16/autonomous-machine-learning-engineering-agent-neo/ --- The fundamentals still matter - arguably more, not less, as AI systems get more capable.  Get up to speed with Pragmatic AI Training: From data literacy to data science, governance, and responsible, Pragmatic AI Learn what you need to work alongside AI, go beyond the hype. Custom quotes available. 👉 http://pragmaticai.training

March 18, 2026Episode 329 min

AI Without the Magic: From Connected Thinking to Pragmatic AI. Featuring Michel Bauwens, P2P Foundation Founder

Everyone's talking about AI. Few people actually understand it, and even fewer are asking the right questions about what it means to live and work alongside it. In this episode, we sit down with Michel Bauwens, founder of the P2P Foundation and one of the sharpest thinkers on civilisation, technology, and collective intelligence. We talk about what AI actually is - and isn't - why the hype creates real risks and damage, and what it looks like to use these tools without giving away your agency or critical thinking. Article published on Fourth Generation Civilization: https://4thgenerationcivilization.substack.com/p/the-pragmatic-role-of-ai-in-the-civilizational

February 25, 2026Episode 249 min

Connected Thinking: On History, Technology, and the Art of Seeing What's Coming. Featuring Michel Bauwens, P2P Foundation Founder

What if the chaos around us isn't collapse, but transformation? Michel Bauwens has spent decades mapping the edges of change. From peer-to-peer networks to the commons, from medieval guilds to distributed autonomous organizations, he's been tracking something most people miss: the seeds of a new civilization, already growing underneath the noise. In this conversation, we explore how the internet didn't just connect computers - it created an entirely new plane of human organization. One where people coordinate across the planet without hierarchies, intermediaries, or anyone giving orders. They call it cosmolocalism. What is heavy stays local. What can be shared, travels everywhere. But this isn't just theory. It's a lens. A way of reading history that tells you exactly where you are, and what's worth building right now. Are you post-seasonal, clinging to a logic whose time has passed? Seasonal, playing the current moment well? Or pre-seasonal, working on the seeds that will matter when the time is ripe? The caterpillar, Michel reminds us, already carries the DNA of the butterfly. This is Connected Thinking. Join us. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/02/25/connected-thinking-on-history-technology-and-the-art-of-seeing-whats-coming/

January 29, 2026Episode 156 min

Foundations or vibes? Lessons learned from using AI in software engineering. Featuring Greg Foster, Graphite Co-Founder & CTO

Software engineering is being transformed by AI faster than any other domain. Unpacking how this transformation is playing out may offer a glimpse into the future Greg Foster's journey into software engineering began in an unlikely place: a Nevada high school where he couldn't land a job at Starbucks. Instead of serving coffee, he taught himself software development. Foster developed what he calls "a lifelong obsession with the craft of software engineering". That obsession evolved from building apps to building for other builders. From Airbnb cofounding Graphite, where he now serves as CTO running what he calls "a dev tools team for the entire industry". Foster is now building the future of software development with Cursor. Foster doesn't just have a front seat to watch how AI is changing software engineering - he gets to shape the change. We caught up and talked about the past, present and future of software engineering. The takeaway? There is a world of difference between vibes and solid foundations for software engineering at scale. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/01/29/foundations-or-vibes-lessons-learned-from-using-ai-in-software-engineering/

October 2, 2025Episode 848 min

Pragmatic AI adoption: from AI literacy to futures literacy. Featuring Elisa Lindinger, SUPERRR Co-founder

What does it mean to be pragmatic about AI adoption, while staying true to the values and mission driving people and organizations? When Elisa Lindinger decided to talk about AI, her intention was to say what she had to say once, and then move on with her life without having anyone ask about AI ever again. The plan backfired heavily, but somehow, that turned into a good thing. Lindinger is the Co-founder of SUPERRR, an independent non-profit organization. SUPERRR was created to serve the thesis is that digital policy is social policy, and it needs bold visions and feminist values. Like most other individuals and organizations today, Lindinger's inbox has been flooded with new invitations every day. Invitations to discuss AI, to facilitate workshops on feminist AI, or the inevitable coaching offer to finally learn how to prompt properly. This made Lindinger feel that other topics that are just as crucial are disappearing from the conversation. "AI and Unlikelihood" was an attempt to situate how the people at SUPERRR view the phenomenon of AI, and why they believe it’s essential to return our attention to other topics as well. What happened instead was that SUPERRR's post got viral on LinkedIn, reigniting the topic of AI and stealing the limelight. An algorithmic glitch? Perhaps. But SUPERRR's stance of rejecting the narrative of blind adoption of generative AI resonated with many people. We met with Lindinger to explore the nuance behind what some might superficially call a Luddite approach, and to talk about setting priorities right, imagining futures people want to live in, and how to go From AI literacy to futures literacy. With cracks in the AI narrative beginning to show, the backdrop could not be more timely. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2025/10/02/pragmatic-ai-adoption-from-futurism-to-futuring/

August 19, 2025Episode 740 min

Breaking the AI bubble: Big Tech plus AI equals economy takeover. Featuring Georg Zoeller, Centre for AI Leadership Co-Founder

Whether we like it or not, and despite tales of its powers being greatly exaggerated, the AI genie is out of the box. What does that mean, and what can we do about it? In another twist of abysmal AI politics, OpenAI CEO Sam Altman just admitted that we are in an AI bubble, and AGI is losing relevance. You may find this baffling or hilarious, or you may be wondering where does that leave the AI influencer types. But despite the absurdity, AI and the associated narrative have gotten way too important to dismiss. Connecting the dots to make sense of it all calls for long-standing experience in AI, engineering, business and beyond. In other words, for people like Georg Zoeller: a seasoned software and business engineer experienced in frontier technology in the gaming industry and Facebook. Zoeller has been using AI in his work dating back to the 2010’s, to the point where AI is now at the core of what he does. Zoeller is the VP of Technology of NOVI Health, a Singapore-based healthcare startup, as well as the Co-Founder of the Centre for AI Leadership and the AI Literacy & Transformation Institute. In a wide-ranging conversation with Zoeller, we addressed everything from AI first principles to its fatal flaws and its place in capitalism. Today, we discuss regulatory capture, copyright, the limits of the attention economy, the new AI religion, the builder's conundrum, how the AI-powered transformation of software engineering is a glimpse into the future of work, AI literacy and how to navigate the brave new world. First part of the conversation: https://pod.co/orchestrate-all-the-things-podcast-connecting-the-dots-with-george-anadiotis/poking-holes-in-the-ai-narrative-market-signalling-and-outsourcing-featuring-georg-zoeller-centre-for-ai-leadership-co-founder Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2025/08/19/breaking-the-ai-bubble-big-tech-plus-ai-equals-economy-takeover/

July 16, 2025Episode 648 min

Poking holes in the AI narrative: Market Signalling and Outsourcing. Featuring Georg Zoeller, Centre for AI Leadership Co-Founder

Can AI work reliably at scale? Will everything be outsourced to AI? Will AI replace CEOs? Why is everyone riding the AI bandwagon, and where is it headed? These are the type of questions you would ask someone with long-standing experience in AI, engineering, business and beyond. Georg Zoeller is that someone: a seasoned software and business engineer experienced in frontier technology in the gaming industry and Facebook. Zoeller has been using AI in his work dating back to the 2010's, to the point where AI is now at the core of what he does. Zoeller is the VP of Technology of NOVI Health, a Singapore-based healthcare startup, as well as the Co-Founder of the Centre for AI Leadership and the AI Literacy & Transformation Institute. Zoeller has lots of insights to share on AI. And yet, the reason we got to meet and have an extensive, deep and fun conversation was a joke gone wild. Story published on Orchestrate all the Things: https://linkeddataorchestration.com/2025/07/16/poking-holes-in-the-ai-narrative-market-signalling-and-outsourcing-replace-ceos/

June 11, 2025Episode 51 hr 1 min

Building AI for Earth with Clay: The intelligence platform transforming Geospatial data analysis. Featuring Clay Executive Director Bruno Sánchez

How a rocket scientist turned entrepreneur created the "ChatGPT for Earth data" using transformers and satellite imagery. Bruno Sánchez is a rocket scientist with a somewhat deviant trajectory. An astrophysicist by training, he used the tools of his trade - mathematics and science - at the broadest possible scale: the universe. At some point, however, his focus switched to using those same tools for more down to earth goals. Sánchez had a stint at the World Bank, where as a member of interdisciplinary teams he helped make sense of geospatial data. Then he realized the core of what he was doing was mapping, which prompted him to launch a company called Mapbox, providing online maps on the web. This experience brought another realization for Sánchez - that we have so much data about Earth that we don't really know how to use it: "We know what are the trees in the world. We know what are the forests in the world. It's just a matter of processing [data] properly", as he put it. So when he got the opportunity to attempt to put all of that together in the same data center and in one workbench, he went for it. That was the Planetary Computer project at Microsoft, and Sánchez loved it. Then, ChatGPT happened. Sánchez noted that the T in ChatGPT - the transformer - was an architecture that seemed to work great for modalities such as text, images, and audio, but no one seemed to be using it for earth data. So he decided to give it a try. He built a team, raised funds, created a non-profit, and built an open source model using open data. And this is how Clay was born. Read the article published on Orchestrate all the Things here: https://linkeddataorchestration.com/2025/06/11/building-ai-for-earth-with-clay-the-intelligence-platform-transforming-geospatial-data-analysis/

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