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PODCAST · technology

Orchestrate all the Things

by George Anadiotis

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 <a href="https://ww

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Episodes

  1. Mapping the Jagged Frontier of AI: Libraries, Ladders, Loops and Graphs. Feat. Carlos E. Perez, Intuition Machine Co-Founder

    What does a three decade-long path of working with AI and asking what separates human cognition from a machine's look like? The answer says as much about the machines as it does about us. At eleven years old, Carlos Perez was already choosing between two possible futures. One was first contact…

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  2. 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...

  3. 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...

  4. 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…

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  5. 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,...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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…

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  12. From Raw Performance to Price Performance: A Decade of Evolution at ScyllaDB. Featuring Felipe Mendes and Guilherme Nogueira

    In business, they say it takes ten years to become an overnight success. In technology, they say it takes ten years to build a file system. ScyllaDB is in the technology business, offering a distributed NoSQL database that is monstrously fast and scalable. It turns out that it also takes ten…

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  13. The Quality Imperative: Why Leading Organizations Proactively Evaluate Software and AI Systems. Featuring Yiannis Kanellopoulos, code4thought CEO / Founder

    As enterprise systems shift from deterministic software to probabilistic AI, forward-thinking organizations leverage proactive quality assessment to maximize value, minimize risk and ensure regulatory compliance In today's rapidly evolving technological landscape, ensuring the quality of both...

  14. Knowledge Graphs as the essential truth layer for Pragmatic AI. Featuring Tony Seale, The Knowledge Graph Guy

    Organizations are facing a critical challenge to AI adoption: how to leverage their domain-specific knowledge to use AI in a way that delivers trustworthy results. Knowledge graphs provide the missing "truth layer" that transforms probabilistic AI outputs into real world business acceleration....

  15. AI Chips in 2025: The end of “more GPUs is all you need”? Featuring InAccel CEO / Founder Chris Cachris

    It’s early 2025, and we may already be witnessing a redefining moment for AI as we’ve come to know it in the last couple of years. Is the canon of “more GPUs is all you need” about to change? Truth is, when we arranged a conversation on AI chips with Chris Kachris, neither the Stargate Project…

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  16. You.com raises $50M to lead AI for Knowledge Workers. Featuring you.com Co-Founder Richard Socher

    You.com showcases the state of AI today The story of you.com is multi-faceted and telling in many ways. You.com was founded in 2020 by Richard Socher, one of the leading NLP (Natural Language Processing) researchers in the world, to offer a better search experience to users and compete with…

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  17. Data Rules: From interoperability to commensurability. Featuring "Data Rules" author Jannis Kallinikos

    "Data Rules" is a book about data, but not just about big data crunching. A book about the relationship of data with economic institutions and society, but also about the interplay with data technologies by which data are being generated and processed. A book that is critical, but not…

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  18. Universal semantic layer: Going meta on data, functionality, governance, and semantics. Featuring Cube Co-founder Artyom Keydunov

    What is a universal semantic layer, and how is it different from a semantic layer? Are there actual semantics involved? Who uses that, how, and what for? When Cube Co-founder Artyom Keydunov started hacking away a Slack chatbot back in 2017, he probably didn't have answers to those questions. All...

  19. Neo4j partners with Microsoft, unfolds strategy to power Generative AI applications with cloud platforms and Graph RAG. Featuring Neo4j CPO Sudhir Hasbe

    From better together to full native integration, Neo4j is creating an ecosystem around all major cloud platforms to provide graph-powered features for Generative AI and beyond. As Neo4j just announced its partneship with Microsoft, we met with Chief Product Officer Sudhir Hasbe to talk about…

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  20. Evaluating and building applications on open source Large Language Models. Featuring Deci CEO / Co-founder Yonatan Geifman

    If we look at the current status quo in AI as a case of demand and supply, what can we do to close the gap between the exponentially growing demand on the side of AI models and the linearly growing supply on the side of AI hardware? This formulation was the premise on which Yonatan Geifman...

  21. The future of AI chips: Leaders, dark horses and rising stars. Featuring Tony Pialis, Alphawave CEO & Co-founder

    There’s more to AI chips than NVIDIA: AMD, Intel, chiplets, upstarts, analog AI, optical computing, and AI chips designed by AI. The interest and investment in AI is skyrocketing, and generative AI is fueling it. Over one-third of CxOs have reportedly already embraced GenAI in their operations,...

  22. Data management in 2024. Featuring Peter Corless, Director of Product Marketing at StarTree, and Alex Merced, Developer Advocate at Dremio

    For many organizations today, data management comes down to handing over their data to one of the "Big 5" data vendors: Amazon, Microsoft Azure and Google, plus Snowflake and Databricks. But analysts David Vellante and George Gilbert believe that the needs of modern data applications coupled with...

  23. How LinkedIn is moving towards a skills-based economy with the Skills Graph. Featuring LinkedIn Director of Engineering Sofus Macskássy

    What is a skills-based economy and how is LinkedIn moving from vision to implementation? As LinkedIn Director of Engineering Sofus Macskássy shares, there's AI, taxonomy, and ontology involved in building the Skills Graph that powers the transition. We discuss the process of extracting skills…

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  24. Amazon Neptune introduces a new Analytics engine and the One Graph vision. Featuring Brad Beebe & Denise Gosnell, Amazon Neptune General Manager & Principal Product Manager

    Amazon Neptune, the managed graph database service by AWS, makes analytics faster and more agile while introducing a vision aiming to simplify graph databases. It's not every day that you hear product leads questioning the utility of their own products. Brad Beebe, the general manager of Amazon...

  25. Aerospike Graph: A new entry in the graph database market, aiming to tackle complex problems at scale. Featuring Aerospike CPO Lenley Hensarling

    “Graph database growth is going strong through the Trough of Disillusionment.” And “Graph Analytics go big and real-time.” These were two of the headlines of the Spring 2023 update of the Year of the Graph newsletter. In combination, they seem like an appropriate summary of the reasoning behind a...

  26. LinkedIn's feed evolution: more granular and powerful machine learning, humans still in the loop. Featuring LinkedIn Senior Director of Engineering Tim Jurka and Staff Software Engineer Jason Zhu

    LinkedIn is a case study in terms of how its newsfeed has evolved over the years. LinkedIn's feed has come a long way since the early days of assembling the machine learning infrastructure that powers it. Recently, a major update to this infrastructure was released. We caught up with the people...

  27. Useful Sensors launches AI in a Box, aiming to establish a different paradigm for edge computing and TinyML. Featuring Pete Warden, Useful Sensors CEO / Founder

    Would you leave a Google Staff Research Engineer role just because you want your TV to automatically pause when you get up to get a cup of tea? Actually, how is that even relevant, you might ask. Let's see what Pete Warden, former Google Staff Research Engineer and now CEO and Founder of Useful...

  28. Neo4j's roadmap in 2023: Cloud, Graph Data Science, Large Language Models and Knowledge Graphs. Featuring Neo4j CPO Sudhir Hasbe

    Neo4j recently announced new product features in collaboration with Google, as well as a new Chief Product Officer coming from Google: Sudhir Hasbe. We caught up to discuss what the future holds for Neo4j as well as the broader graph database space. Article published on Orchestrate all the Things.

  29. Redpanda’s “power to the data engineer” strategy lands a $100M Series C funding round. Featuring Founder / CEO Alex Gallego

    In an era of dried-up funding and Data Lakehouse vendor supremacy, Redpanda is going against the grain. The company just secured a $100 million Series C funding round to execute on an unconventional strategy. Redpanda Founder and CEO Alex Gallego explains how things work for the company. Article...

  30. The EU AI Act effect: Background, blind spots, opportunities and roadmap. Featuring Aleksandr Tiulkanov, AI, Data & Digital Policy Counsel

    The EU Parliament just voted to bring the EU AI Act regulation into effect. If GDPR is anything to go by, that's a big deal. Here's what and how it's likely to effect, its blind spots, what happens next, and how you can prepare for it based on what we know. Article published on Orchestrate all…

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  31. Foursquare moves to the future with a Geospatial Knowledge Graph. Featuring Distinguished Engineer Vikram Gundeti

    From a consumer-oriented application, Foursquare has evolved to a data and product provider for enterprises. The next steps in its evolution will be powered by the Foursquare Graph If the name Foursquare rings a bell, it means you were around in the 2010s. Your only resort to plausible…

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  32. Orchestrate All The Things: Owning Tech, Data, Media, AI, Writing, and Content

    On AI-generated content, writing, new, old, and broken media, platforms, models, audiences, and body parts. An update from the host on launching the Orchestrate All The Things Newsletter, and some insights on Technology, Data, Media, AI, Writing, and Content. A new type of podcast episode:...

  33. ScyllaDB’s incremental changes: Just the tip of the iceberg. Featuring ScyllaDB CEO & Co-founder Dor Laor

    Is incremental change a bad thing? The answer, as with most things in life, is "it depends". In the world of technology specifically, the balance between innovation and tried and true concepts and solutions seems to have tipped in favor of the former. Or at least, that's the impression reading…

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  34. Is scaling all you need for AI Large Language Models? Scaling laws and the Inverse Scaling Challenge. Featuring Ian McKenzie, FAR AI Research Scientist

    The last couple of years have been an AI model arms race. The assumption is that the larger the model the better it will perform. But that may not always be the case. FAR AI Research Scientist Ian McKenzie is a key member of the team organizing the Inverse Scaling Challenge, an initiative set up…

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  35. Cloud modernization and real-time data is how you cut down costs during downturns according to Striim. Featuring Alok Pareek, Striim Co-founder and EVP of products

    Can technology, and real-time technology in particular, help companies achieve savings during economic hardship? Alok Pareek thinks it can. Pareek is the Co-founder and EVP of products of Striim, a vendor whose goal and motto is to "help companies make data useful the instant it’s born".…

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  36. Andrew Ng offers AI for retailers with Netail. Featuring Netail CEO Mark Chrystal

    Retail is big business. But like many other sectors it's undergoing a transformation, largely affected by the shift of consumer behavior from physical to digital. Many retailers are looking to analytics and AI to help them cope with the challenges. Andrew Ng, among the most prominent figures in…

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  37. The past, present and future of quantum computing. Featuring D-Wave CEO Alan Baratz

    Quantum computing could be a disruptive technology. It's founded on exotic-sounding physics and it bears the promise of solving certain classes of problems with unprecedented speed and efficiency. The problem, however, is that to this day there's been too much promise and not enough delivery....

  38. Neo4j 5 advances ease of use and performance, the graph market maintains momentum. Featuring Jim Webber, Chief Scientist at Neo4j

    Graph database Neo4j has just released version 5, which promises better ease of use and performance through improvements in its query language and engine, as well as automated scale-out and convergence across deployments. We caught up with Jim Webber, Chief Scientist at Neo4j, to discuss Neo4j 5…

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  39. Red Hat and IBM venture into AIOps with open source Project Wisdom. Featuring Tom Anderson, Red Hat Vice President & General Manager for the Ansible Business Unit

    AIOps is what you get when you combine big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination. At least, that's how Gartner defines AIOps. Based on this definition, as well as coverage of vendors that have...

  40. The state of AI in 2022 - Evolution, Distribution, Safety. Featuring Nathan Benaich, Air Street Capital General Partner, and lan Hogarth, Plural co-founder

    Shining light on AI research and applications in a conversation with the curators of the most comprehensive report on all things AI. If you think AI is moving at a breakneck speed and it's almost impossible to keep up, you are not alone. Even if being on top of all things AI is part of your job,...

  41. Salesforce's AI Economist research wants to explore the equilibrium between equality and productivity. Featuring Stephan Zheng, Salesforce Lead Research Scientist, Senior Manager, AI Economist Team

    Economic theory is known to be constrained by a number of inefficiencies in its modeling. Salesforce researchers claim AI can help address that, leading to more robust economic policies. Article published on ZDNet

  42. Trends in data and AI: Cloud, platforms, models and Pegacorns. Featuring Gradient Flow Founder Ben Lorica

    As Ben Lorica will readily admit, at the risk of dating himself, he belongs to the first generation of data scientists. In addition to having served as Chief Data Scientist for the likes of Databricks and O'Reilly, Lorica advises and works with a number of venture capitals, startups and...

  43. Good enough weather prediction at scale as a big data, internet of things and data science problem. Featuring DTN CTO Lars Ewe

    What's a good enough weather prediction? That's a question most people probably don't give much thought to, as the answer seems obvious -- an accurate one. But then again, most people are not CTOs at DTN. Lars Ewe is, and his answer may be different than most people's. With 180 meteorologists on...

  44. Green software is a thing, and this is why you should care about it. Featuring Green Software Foundation Standards Working Group lead Abhishek Gupta

    Everything counts in large amounts. You don't have to be Google, or to build large AI models, to benefit from writing efficient code. But how do you measure that? It's complicated, but that does not mean that people are not trying. That's what Abhishek Gupta and the Green Software Foundation…

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  45. Graphs to trees: data, metrics, analytics and regulation for sustainability. Featuring Neural Alpha CEO / Founder James Phare

    What does sustainability actually mean for organizations? Can it be measured, and if yes, how? Obvious questions with less than obvious answers, even for sustainability and ESG professionals like James Phare. Phare shares his experience and assessment of sustainability and its relationship with…

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  46. You.com is taking on Google with AI, apps, privacy, and personalization. Featuring CEO / Founder Richard Socher

    Award-winning AI research - check. Startup and enterprise experience - check. Venture capital and Mark Benioff backing - check. Is that enough for Richard Socher's you.com to take on Google? Here is why and how he aims to do that. Article published on ZDNet

  47. Decision intelligence wants to automate decision making - but how far can you take this? Featuring Aera Technology Founder / CTO Shariq Mansoor

    Decision intelligence is one of those terms that sound vaguely familiar, even if you've never come across it before. Like many category-defining terms, it can mean different things to different people. This is a feature category-defining terms either have by design, or acquire through extensive...

  48. Managing disaster and disruption with AI, one tree at a time. Featuring AiDash co-founder and CEO Abhishek Singh

    It sounds like a contradiction in terms, but disaster and disruption management is a thing. Disaster and disruption is precisely what ensues when catastrophic natural events occur, and unfortunately, the trajectory the world is on seems to be exacerbating the issue. In 2021 alone, the US...

  49. Could machine learning and operations research lift each other up? Featuring Funartech CEO / Founder Nikolaj van Omme

    Is deep learning really going to be able to do everything? Opinions on the potential of this opinion to prove true vary. Geoffrey Hinton, awarded for pioneering deep learning, is not entirely unbiased in so opining. However others, including Hinton's deep learning collaborator Yoshua Bengio, are...

  50. Alation announces Open Data Quality Initiative as part of its data intelligence strategy. Featuring CEO / Co-founder Satyen Sangani

    Data quality is part of data intelligence. It's a topic that lot of people are concerned about, and it makes engagement and adoption around data intelligence solutions better. With many data quality solutions with different approaches available in the market, customers need to be able to choose…

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ABOUT THIS 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 <a href="https://ww

HOSTED BY

George Anadiotis

Frequently Asked Questions

How many episodes does Orchestrate all the Things have?

Orchestrate all the Things currently has 135 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is Orchestrate all the Things about?

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...

How often does Orchestrate all the Things release new episodes?

Orchestrate all the Things publishes regularly with 135 episodes available. Check the episode list for the typical release schedule.

Where can I listen to Orchestrate all the Things?

You can listen to Orchestrate all the Things on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts Orchestrate all the Things?

Orchestrate all the Things is created and hosted by George Anadiotis.
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