AI Snacks With Romy & Roby: Democratizing AI Technologies

Dr. Anastassia Lauterbach: Democratizing AI Expert

AI Snacks with Romy&Roby is a podcast that translates AI and robotics technologies from complex scientific concepts into easy-to-understand discussions, making them accessible for teens, parents, teachers, and anyone curious about AI. Through real-world stories and expert interviews, the show is dedicated to democratizing AI knowledge and empowering the general population to understand how AI is developed and applied in everyday life. The podcast is part of the Romy&Roby and AI Edutainment universe.

  1. 3d ago

    90: AI in Telecom and Mobile Networks with Chetan Sharma

    Summary: Anastassia sits down with Chetan Sharma, one of the most respected strategists in global wireless. For 25 years, Chetan has been an independent strategist advising CEOs and CTOs of the world’s leading wireless companies, e.g., NTT DoCoMo, AT&T Wireless, China Mobile, Qualcomm, Samsung, and Sprint, and he has served on the advisory boards of Ericsson, Telefónica, Kymeta, NextNav, and numerous startups. He wrote Mobile Advertising: Supercharge Your Brand in the Exploding Wireless Market and Wireless Broadband: Conflict and Convergence — with titles adopted in corporate training programs and university courses at NYU, Stanford, and the University of Tokyo. He is the editor of the Mobile Future Forward book series. Key Takeaways: Every wireless wave follows the same curve. Voice, messaging, and data each peaked once penetration hit 80–90%, then revenue declined. Operators must invest in the “fourth wave” — platforms, applications, and enterprise services — before the data curve turns down. China proved the fourth-wave thesis. By transforming from pure comms players into IT players, Chinese operators generated close to $100 billion in enterprise and platform services over five years — a scale the rest of the world hasn’t matched. AI’s home in the network is the platform layer. Intelligence will live everywhere — in the RAN (Radio Access Network), at the edge, on devices — but the platform layer orchestrates it all: energy, RAN management, compute, and the “intelligence traffic” of tokens across billions of nodes. Compute and comms are finally converging, enabling more sophisticated algorithms for spectral efficiency and network manageability. AI already delivers hard savings. Intelligent on/off orchestration of cell-site carriers alone can yield 40–60% energy savings, and AI-driven operations can resolve issues before humans even see the ticket. Security is a multi-level battle. AI lets attackers automate vulnerability hunting across operator, enterprise, and national-security layers — including legacy systems. Talent is strategy. Operators outsourced R&D and product development for decades; AI is the chance to bring it back in-house. New ventures need freedom to run. AT&T’s connected-devices unit succeeded because it operated as an independent entity with full support from the top. Europe is falling behind. A steep patent decline since ~2008–09, a weak LTE and 5G cycle, and long lags between intention, budget, and execution — compounded by AI Act–driven startup exits — put the EU at risk of missing the AI cycle too. The best telco CEOs are storytellers and portfolio managers. Hold multiple truths at once. Borrowing from the Buddhist Catuṣkoṭi: AI is simultaneously a bubble, transformative, and disruptive. Don’t wed yourself to one truth — let the situation guide you. Chapters: 03:13 From 1G fraud detection with neural networks to 25 years of strategy consulting 06:09 The waves of wireless: voice, messaging, data and beyond 12:16 Where AI lives in the network stack — and the new security battlefield 17:01 AI-run networks: What does it mean? 21:10 Disaggregating the RAN, exposing network intelligence, and reinventing the operator 31:17 CAPEX, economics of compute, sovereign AI and why Europe is behind 39:45 What makes a great telco CEO Hyperlinks: Chetan Sharma Consulting Chetan Sharma LinkedIn Chetan Sharma X (Twitter) Mobile Future Forward (executive summit & book series) https://www.mobilefutureforward.com Anastassia Lauterbach - LinkedIn First Public Reading, Romy, Roby and the Secrets of Sleep (1/3)  First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)  First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)  AI Snacks with Romy and Roby @romyandroby  “Leading Through Disruption” AI Edutainment The AI Imperative Book Romy & Roby Book

  2. Aug 25

    89: Machine Translation, Human-in-the-Loop, and the Real Cost of AI Tokens with Josh Gould

    Summary: Josh Gould, Group CEO of TheBigWord – one of the world's largest language services providers, operating in over 80 countries with a workforce of 15,000 – explains why today's LLMs look more human than 2013's systems without actually being more accurate, how his company's orchestration layer routes each job to the model that is best at that language pair and domain, and why human linguists have shifted from translating to tuning, reviewing and editing while translation demand doubles every year. Joshua (Josh) Gould has spent his career at the intersection of language technology and human expertise – including TheBigWord's multi-year collaboration with Google on human feedback for neural machine translation. TheBigWord provides translation and interpreting across borders, hospitals, courts, and healthcare systems, giving people language access when they need it most. Beyond language technology, Josh is a co-founder, investor, and board member at a healthy frozen plant-based food company, and a frequent podcast guest on AI, entrepreneurship, and the future of work. Key Takeaways: Models are old; scale is new. The architectures behind today's AI existed on paper for decades – chips, electricity, and internet-scale data made them real. The baseline of every model is still human. LLMs didn't beat 2013. Current models don't score meaningfully better than the best neural Machine Translation of a decade ago – they look more human, while filling gaps with estimations that can make them slightly less accurate. Orchestration is the moat. No single model is best at everything; TheBigWord's layer routes French–Dutch orthopedic content to one engine and English–Russian general content to another, tuned continuously by client and linguist feedback – pushing accuracy from ~94% toward 98–99%. The linguists didn't disappear – their jobs changed. Translated content demand doubles every year; unit rates fell, volumes exploded, and translators became editors, reviewers and tuners. The predicted extinction never happened. Tokens are the hidden bill. Interpreting (voice-to-voice) consumes six to ten times the tokens of written translation, and today's AI prices are loss-making subsidies: expect roughly a doubling once providers must be profitable – machine interpreting at 75% of human cost today could be 150% tomorrow. Regulation helps the big and hurts the small. Compliance infrastructure is a sales advantage for a firm with 15,000 people and a burden that can put a bedroom startup in legal jeopardy; meanwhile European governments quietly race to adopt AI and will likely be forced to soften their own rules. The football-team principle. If you're allowed eleven humans on the pitch and unlimited robots, you field eleven humans plus robots. AI supersizes people rather than replacing them – and at TheBigWord, that's a stated commitment. Chapters: 00:04 The Evolution of Machine Translation 02:58 Moses, Hybrid Models and the Road to Neural MT 07:46 How Google Changed the Accuracy Game 13:17 The Role of Human Linguists in AI 17:30 Building the Orchestration Layer 20:21 The Real Cost of AI Tokens and Interpreting 22:36 The Economic Value of Immigration and Language Access 26:43 Cultural Nuances in Translation 31:05 Navigating Global AI Regulation 39:42 Regulatory Challenges in AI and Translation Hyperlinks: TheBigWord Josh Gold on LinkedIn Anastassia Lauterbach - LinkedIn First Public Reading, Romy, Roby and the Secrets of Sleep (1/3) First Public Reading, Romy, Roby and the Secrets of Sleep (2/3) First Public Reading, Romy, Roby and the Secrets of Sleep (3/3) AI Snacks with Romy and Roby @romyandroby “Leading Through Disruption” AI Edutainment The AI Imperative Book Romy & Roby Book Substack

  3. Aug 18

    88: AI Workforce, with Sam Huber

    Remember Napster — the file-sharing site the entire music industry tried to kill? It's back, and it isn't a streaming service anymore. In this episode, Anastassia talks with Sam Huber, the physicist who once ran Lewis Hamilton's engine strategy at Mercedes Formula One, built an in-game advertising company from zero to 120 employees, rode the metaverse wave with Landvault, and now leads Napster's enterprise business from Dubai. Today's Napster builds «streaming intelligence»: teams of specialized, avatar-fronted AI agents — more than 20,000 of them — that companies hire like employees, onboard with their own data, and supervise like a team. Sam explains why the interface, not the intelligence, is where AI will be won; why your company's first-party data holds 90% of the value; and why the future belongs to «elastic organizations» that scale their workforce up and down like cloud computing. The conversation closes with a message every student and every worried employee should hear: AI should augment you, not replace you — and the people at risk are not those whose jobs meet AI, but those who never learned to use it. Key Takeaways: The interface is the frontier, not the model. Foundation models will keep improving without Napster's help — the huge, underexploited delta is how humans engage with AI. Hire AI agents like employees, not software. Napster's 20,000+ agents are trained on domain-specific curricula, then onboarded with your company's documents, APIs, and live data feeds — like a new hire on their first day. Ninety percent of the value is your own data. A job is not a task. Jobs begin with judgment (deciding what to do) and end with judgment (checking it was done right); AI does the middle. Abundance beats headcount-cutting. Doing $1m with 10 people instead of 20 is a capped, short-sighted strategy. The interesting question: how do you do $5–10m with more agents AND more humans to manage them? The elastic organization. What cloud computing did for servers, AI agents do for the workforce. Fragmented «Frankenstein» agents fail. A marketing agent that doesn't know what the finance agent is doing optimizes one silo and may hurt the business. Agents need organizational context — teams, reporting lines, who sits where — to be labor, not software. The Gulf has deadlines; Europe has debates. Government AI strategies in the region set automation targets by year, creating urgency at chairman and sovereign-fund level to redesign operating models — not to buy point solutions. Meanwhile, Europe's demographic crunch makes automation a necessity, not a choice. Chapters: 02:20 — Sam Huber's Journey: From Physics to AI 08:32 — The Evolution of Napster and AI Integration 14:02 — Humanizing AI: The Role of Specialized Agents 19:07 — Data Sourcing and Privacy in AI Solutions 21:10 — The Value of First-Party Data 22:54 — Governance and Transparency in AI 24:10 — AI as an Augmenter, Not a Replacer 28:46 — Elastic Organizations and Creative Industries 33:18 — The Future of HR in the Age of AI 39:42 — Education and AI: Preparing for the Future Hyperlinks: NapsterSam Huber on LinkedIn Sam Huber on Instagram Anastassia Lauterbach - LinkedIn First Public Reading, Romy, Roby and the Secrets of Sleep (1/3) First Public Reading, Romy, Roby and the Secrets of Sleep (2/3) First Public Reading, Romy, Roby and the Secrets of Sleep (3/3) AI Snacks with Romy and Roby @romyandroby “Leading Through Disruption” AI Edutainment The AI Imperative Book Romy & Roby Book Substack

  4. Aug 11

    87: Klara and the Sun Explained: Ishiguro's AI, Love & Sacrifice (Before the Movie) — with Rae Muhlstock

    Summary: Anastassia is joined by Professor Rae Muhlstock for a close reading of Kazuo Ishiguro’s Klara and the Sun — a Nobel laureate’s quiet, devastating novel narrated by an AI, and soon a major film directed by Taika Waititi, starring Jenna Ortega and Amy Adams. Dr. Rae Muhlstock is a Teaching Professor in the Writing and Critical Inquiry Program at the University at Albany (SUNY). She holds a PhD from the University at Buffalo, specializing in 20th and 21st century fiction, film, and narrative theory, and teaches a beloved course on AI, science fiction, and philosophy. Her published work spans the Classical myth of the labyrinth. She chairs the annual WCI Film Festival in Albany. This episode is part of our ongoing series “AI Through the Lens of Storytellers,” in which Anastassia and Rae discuss portrayals of AI in books and movies — from Ex Machina and Her to Data in Star Trek and After Yang — because these stories shape our expectations about AI technologies. And because art is an experiment: a way for thinkers to explore future scenarios that can’t be tested in labs. Key Takeaways: Klara is three archetypes in one. The perfect, willingly self-erasing servant; the worshipper who builds a private theology around the Sun; and the doppelgänger — a double whose purpose raises an ethical horror the novel only slowly reveals. Sacrifice may be a benchmark of life. Klara’s sacrifice is arguably the purest in the book because it comes from love without societal pressure. The most human character is the AI. Ishiguro’s humans are trapped in systems and status; it is Klara who models feeling, connection, and grace. AI in the real world is drifting toward religion. With institutions of enormous power, apostles, heretics, prophecies of doom, and millions of followers, today’s AI discourse mimics the structure of a religious movement. Keep your agency. Today’s AI mimics; it does not understand, reason, or learn from counterfactuals. Fiction is how thinkers experiment. Scientists experiment in labs; philosophers and artists experiment through stories. Chapters: 00:04 — Welcome to the storytellers series: From Ex Machina, Her, Star Trek, and After Yang to Ishiguro’s quietest, most devastating AI. 02:24 — Klara goes to Hollywood: The upcoming Taika Waititi film with Jenna Ortega and Amy Adams — and what a Nobel laureate’s AI meditation becoming a studio production says about our cultural moment. 03:19 — The plot (and why it’s the least interesting thing): Rae on Ishiguro’s “quiet science fiction,” first-person narrators, and the reader who always knows both more and less than Klara. 07:34 — Three faces of Klara: The perfect slave, the worshipper of the Sun, and the doppelgänger — archetypes, ethical horror, and a hierarchy of machines. 12:44 — Sacrifice as a sign of life: What Klara, Data, and The Creator suggest about love, agency, and the line between performing and being. 19:14 — Is AI becoming a religion?: Churches, apostles, heretics, and cults in today’s AI discourse — and Capaldi, the man who doesn’t believe in the human soul. 29:27 — Keep your agency: Why AI mimics rather than understands, the missing math of counterfactuals and causality, and the “chosen ones” narrative of AI builders. 36:42 — Fiction as an experiment — and the classroom: Checking ChatGPT’s math, cheating smart vs. cheating dumb, hidden environmental costs, and why we must always ask why. Hyperlinks: Rae Muhlstock University at Albany faculty profile LinkedIn Anastassia Lauterbach - LinkedIn First Public Reading, Romy, Roby and the Secrets of Sleep (1/3) First Public Reading, Romy, Roby and the Secrets of Sleep (2/3) First Public Reading, Romy, Roby and the Secrets of Sleep (3/3) AI Snacks with Romy and Roby @romyandroby “Leading Through Disruption” AI Edutainment The AI Imperative Book Romy & Roby Book Substack

  5. Aug 4

    86: AI Changing Medical School with Dr. Marschall Runge on the Future of Doctors

    Dr. Marschall Runge returns for a second conversation, this time about the people who will practice medicine next.  Marschall S. Runge, MD, PhD, is a practicing cardiologist who spent a decade as executive vice president for medical affairs at the University of Michigan, dean of the Medical School, and CEO of Michigan Medicine — running one of America's largest academic health systems while continuing to see patients. He earned his PhD in cardiovascular molecular biology at Vanderbilt and his MD at Johns Hopkins, where he also completed his internal medicine residency, followed by a cardiology fellowship at Massachusetts General Hospital. He now leads a Michigan cohort combining epigenetic aging clocks, mitochondrial inheritance, cardiorespiratory fitness, and chronic inflammation in a single dataset. He has authored more than 195 peer-reviewed papers and holds five healthcare patents. A third nonfiction book, on epigenetic clocks and biological aging, is in development with Forbes Books, alongside a forthcoming Substack (The Longevity Switch) and a University of Michigan MOOC on epigenetics and aging. Chapters 00:00 Introduction and guest overview 01:12 AI's role in healthcare transformation 04:01 AI as a valuable assistant in medicine 05:08 Redefining medical curriculum for AI era 09:34 Openness of medical institutions to AI 11:47 Changing accreditation and certification with AI 16:08 Leadership in AI adoption in healthcare 18:39 International perspectives on AI in medicine 19:13 AI's impact on radiology and diagnostics 21:46 AI in clinical workflows and operations 24:49 The evolving role of nurses with AI 30:37 Digital twins and clinical trials 33:18 Transition period and future outlook Hyperlinks: The Great Healthcare Disruption: Big Tech, Bold Policy, and the Future of American Medicine (Forbes Books, 2025) — USA TODAY Best-Seller and Global Book Awards Gold Medal winner. An insider's account of the forces reshaping American healthcare.  Coded to Kill (Post Hill Press, 2023) — a techno-medical thriller. Amazon author page Dr. Runge Website OpenEvidence — the physician-only clinical AI Runge calls superb  University of Michigan Medical School U-M Center for Academic Innovation  Anastassia Lauterbach - LinkedIn First Public Reading, Romy, Roby and the Secrets of Sleep (1/3)  First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)  First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)  AI Snacks with Romy and Roby @romyandroby  “Leading Through Disruption” AI Edutainment The AI Imperative Book Romy & Roby Book Substack

  6. Jul 27

    85: Can AI Find New Problems, Not Just Answers? with Matthias Röder (Beyond Human Series, #4)

    Summary AI is extraordinary at finding answers. But who finds the problem? In the 4th of our Beyond Human series, Anastassia and Matthias Röder go after a question: can an AI formulate a genuinely new problem, or is it forever confined to solving the ones we hand it? Dr. Matthias Röder is a music and technology strategist based in Salzburg, and one of the most consistently original thinkers on creativity and machines that we know. He is a former Managing Director of the Eliette and Herbert von Karajan Institute and a board member of the Karajan Foundation, as well as a trustee of the Mozarteum Foundation. He is co-founder and managing partner of The Mindshift, a consultancy on creative leadership and innovation strategy. Matthias directed the Beethoven X project, the AI-assisted completion of Beethoven's Tenth Symphony, work that earned an Effie Bronze. He founded the Karajan Music Tech Conference in 2017 and launched the Classical Music Hack Day series in 2013. He holds a PhD in music from Harvard University and is an alumnus of the Mozarteum University Salzburg. His work has been recognized with the "Game Changer" award of the Salzburg Chamber of Commerce. Chapters 00:01 Welcome, and the question behind the episode: can AI formulate problems, not only answer them? 01:48 In music, the problem is the composition — why framing the question is the hardest creative act 03:17 35 million papers, 4,000 a day: PubMed, AlphaFold, and what no human can read 05:58 GNoME and 2.2 million crystals — when the hypothesis machine outruns the laboratory 09:09 World models, physical intuition, and the questions AI does not know to ask 11:36 A map of all unsolved problems: knowledge graphs as an orchestration engine 15:16 Progress without consensus — why agreement may be the most expensive thing we do 17:24 Theory of mind, Belle and Rock Experiment, and why your chatbot keeps telling you that you are a genius 24:20 Context contamination, hallucinations, and professional AI hygiene 30:50 Organizational elasticity, the 2×2 of known and unknown, and three papers worth your time Papers mentioned in the episode: Towards Scientific Discovery with Generative AI: Progress, Opportunities and Challenges — a survey of AI across the full scientific discovery cycle, from literature analysis and brainstorming through theory refinement, experimental design and data-driven discovery. The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence — an ambitious argument that AI is approaching the ability to close the scientific loop autonomously, from hypothesis generation through experimental design to validation. Machine Learning as a Tool for Hypothesis Generation — a procedure for generating hypotheses from high-dimensional behavioural data and testing them on held-out human subjects, grounded in economics and behavioural science. Also referenced: DeepMind's AlphaFold and GNoME; AI Feynman and the rediscovery of fundamental physics equations from data alone; Yann LeCun on world models; Jorge Luis Borges, The Library of Babel. Hyperlinks: Anastassia Lauterbach - LinkedIn First Public Reading, Romy, Roby and the Secrets of Sleep (1/3) First Public Reading, Romy, Roby and the Secrets of Sleep (2/3) First Public Reading, Romy, Roby and the Secrets of Sleep (3/3) AI Snacks with Romy and Roby @romyandroby “Leading Through Disruption” AI Edutainment The AI Imperative Book Romy & Roby Book Substack

  7. Jul 21

    84: Music, AI & the Future of Music Promotion with Paul Loeb

    In this episode of AI Snacks with Romy & Roby, Anastassia Lauterbach welcomes Paul Loeb — entrepreneur, musician, audio engineer, and the founder of DropTrack, the world's first AI-powered music promotion platform. The conversation moves fluidly between Paul's personal journey from bedroom DJ and record label founder to tech executive at Beats by Dre, Apple, GitHub, and Ticketmaster, and the real-world mechanics of how DropTrack is changing what it means to be an independent artist in the age of AI. At its heart, this episode is about democratisation: of music promotion, of AI literacy, and of access to audiences that were previously reachable only by those with money, connections, or industry clout. Paul and Anastassia dig into the tension between AI as a creative threat and AI as an empowerment tool, explore the copyright battles reshaping the music industry, and discuss how independent artists and major labels alike need to rethink their strategies — before the window of opportunity closes. The episode closes with a call to action for conservatories and music schools: AI literacy is no longer optional for the next generation of artists. Chapters 00:00 Introduction to AI Snacks and the episode topic 00:55 The journey of music from creation to listener 01:54 Paul Loeb's background and path into music and tech 03:37 Challenges of music promotion and the birth of DropTrack 07:16 How DropTrack uses AI to match music with opportunities 11:01 Using AI for music analysis and readiness assessment 12:43 Matching music to labels, playlists, and licensing opportunities 15:21 The role of human curation and AI in discovering new music 18:30 Global reach and different strategies for artists 21:49 Disruption of traditional music industry giants 24:38 Copyright, metadata, and royalties in AI-driven music 28:24 Training AI models with existing music and copyright concerns 33:31 Common mistakes and misconceptions about AI in music 36:29 AI literacy as a crucial skill for young artists 39:27 Closing remarks and the future of AI in music About the Guest Paul Loeb is the Founder and CEO of DropTrack, the world's first AI-powered music promotion platform. He has over 20 years of experience spanning music and tech, with roles at Beats by Dre (acquired by Apple), GitHub (Microsoft), and Ticketmaster/Live Nation. He founded No Ego Records in 2010, signing over 50 artists and releasing more than 100 tracks. A USC graduate and Certified Pro Tools Expert trained under Steely Dan producer Roger Nichols, Paul also produces and DJs electronic music under the alias Really Cute Cats. He is based in Los Angeles, California.  About the Podcast AI Snacks with Romy & Roby is the AI literacy podcast hosted by Dr. Anastassia Lauterbach, Founder and CEO of AI Edutainment GmbH. Each episode transforms complex ideas in artificial intelligence into something accessible, tangible, and actionable — for educators, executives, artists, and curious humans everywhere. The podcast is available on Spotify, Apple Podcasts, and all major platforms.

  8. Jul 13

    83: The Hidden Fuel of AI: Data Lakes, CDN Analytics & Cybersecurity with Tony Falco

    Summary Anastassia sits down with Tony Falco of Hydrolix to explore one of the least-discussed but most consequential challenges in the AI era: CDN and log data. Every click, stream, and page interaction generates hundreds of log files per second. For nearly three decades, that data has been thrown away — not because it lacked value, but because storing it was prohibitively expensive. Tony brings over 30 years of experience building the internet's infrastructure, from his early days at Akamai helping Fortune 500 companies scale their websites for Super Bowl traffic, to Silicon Valley Data Science (acquired by Apple), to co-founding Hydrolix — a platform purpose-built to make petabyte-scale log data affordable, queryable, and AI-ready. The conversation moves from the very origins of the commercial internet, through the evolution of distributed databases and CDN technology, to the urgent present: a moment when AI is simultaneously generating new value from log data and being weaponised against the websites that produce it. Tony and Anastassia explore the governance gap around bots and agents, the coming convergence of cybersecurity and data strategy, and why the biggest opportunities in AI may still be hiding in data that nobody has thought to explore. Key Takeaways: Log files are the dark matter of the internet. Every interaction with a website generates hundreds of log files per second. For 26+ years, this data has largely been deleted after 90 days because of cost — but it contains the entire behavioural story of a website's audience. The economics breakthrough unlocks the AI opportunity. Hydralix was built to reduce CDN log storage costs by up to 90%. But when given the choice of cutting costs or keeping data longer, 99% of customers choose to keep the data — because the insights it holds are more valuable than the savings. AI is hungry for exactly the data that has been thrown away.  AI is also the new threat on the attack surface. Bots and agents are increasingly using AI to mimic human behavior — bypassing detection systems that relied on the predictable signatures of scripted traffic.  Intent is the new frontier. Hydralix focuses on inferring the intent of website visitors — human or bot. Normal intent (browsing, comparing, buying) can be profiled; variance from it flags bad actors. Sophisticated attackers are patient. If they know your data retention window is 90 days, they will make their next move on day 91.  The bot/agent governance gap is real and growing. Businesses have DUNS numbers. Websites have no equivalent system to identify or authenticate agents.  Don't accept the current narratives about AI. Tony's core message: it is very early. The biggest opportunities have not been taken. The biggest decisions have not been made. Curiosity and drive matter more than credentials right now. Chapters: 00:01 Introduction, Tony’s Journey 05:30 From CDNs to NoSQL to Gen AI: The Through-Line 08:47 Data explosion and the Log File problem 14:21 The Marianas Trench of Data 15:57 Understanding niche markets 16:35 Competitive landscape of data providers 19:43 Real-time correlation as the competitive advantage 21:07 Intent Analysis and Bot Detection 23:56 The Governance Gap: Bots, Agents and Identity 29:26 Advice for Young People entering the field 32:06 Machine-to-machine, bot-to-bot workflows and communication 32:50 Prometheus Moment of AI: Building tools without fully understanding the consequences 47:14 Closing Hyperlinks: Tony Falco Hydrolix Website Anastassia Lauterbach - LinkedIn First Public Reading, Romy, Roby and the Secrets of Sleep (1/3) First Public Reading, Romy, Roby and the Secrets of Sleep (2/3) First Public Reading, Romy, Roby and the Secrets of Sleep (3/3) AI Snacks with Romy and Roby @romyandroby “Leading Through Disruption” AI Edutainment The AI Imperative Book Romy & Roby Book Substack

5
out of 5
11 Ratings

About

AI Snacks with Romy&Roby is a podcast that translates AI and robotics technologies from complex scientific concepts into easy-to-understand discussions, making them accessible for teens, parents, teachers, and anyone curious about AI. Through real-world stories and expert interviews, the show is dedicated to democratizing AI knowledge and empowering the general population to understand how AI is developed and applied in everyday life. The podcast is part of the Romy&Roby and AI Edutainment universe.

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