Podcasts about Machine learning

Join John Turnbull (Electrical and Computer Engineering) for a disccusion on moving machine learning hold up when moved from the lab to the real world.

This week on Catalyst, Tammy is joined by Shulagna Dasgupta, a fellow podcast host who spent over two decades at Accenture on human capital, talent, and operating models, most recently as vice chair advising CEOs through major transformations. She left this past June to launch her podcast, AI-isms, and to found Ochin, an AI advisory firm helping organizations navigate transformation. Tammy and Shulagna tackle the question so many leaders are sitting with: if your organization went tech-first, automated hard, and treated people as an afterthought, can you actually recover? Shulagna's answer is yes. She argues that for the first time, value and human advantage aren't in opposition. Her prescription for making that pivot: get explicit about intention, replace fear with real psychological safety, and above all, get CXOs hands-on building with AI themselves rather than just prompting it, since that's what shifts how they design programs for everyone else.Please note that the views expressed may not necessarily be those of NTT DATALinks: Shulagna Dasgupta OchinAI-isms Podcast Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ritika brings eight years of cybersecurity experience together with hands-on work in LLM security, GenAI applications, AI red teaming, RAG security, and agentic AI risk. Today, her work at the Institute for Security and Technology focuses on emerging AI security risks and translating technical findings into practical approaches to risk management and governance.We explore what changes when AI isn't simply another technology organizations need to protect but becomes a new attack surface capable of accessing data, using tools, interacting with systems, and taking action.Key Highlights:How prompt injection, jailbreaks, adversarial attacks, and other emerging vulnerabilities challenge traditional cybersecurity approaches.What changes when AI systems gain access to tools, data, applications, and the ability to act autonomously.Where vulnerabilities can emerge across retrieval, proprietary data, model interactions, and enterprise GenAI pipelines.Why testing AI systems requires new offensive security techniques and what organizations should actually be testing.How AI can also help defenders automate vulnerability management, compliance, detection, and remediation.Understanding how increasingly autonomous AI systems introduce new questions around monitoring, containment, governance, and human oversight.

Pour ce nouvel épisode de Voice of Industries enregistré en direct au salon Tech For Industry Show, Mathieu Cura reçoit Nadège Brun, directrice stratégie IA et data pour la division One Tech de TotalEnergies. Au fil de l'échange, elle raconte comment un simple fichier Excel créé par un ingénieur de site est devenu aujourd'hui, grâce à la data science et au machine learning, une application déployée sur tous les sites de la branche Raffinage Chimie, pour optimiser la consommation énergétique des procédés. Elle revient aussi sur les freins humains rencontrés et sur l'IA générative comme prochain cap à ne pas manquer. Elle conclut avec trois leviers clés pour réussir sa transformation digitale : acculturation, collaboration et gouvernance de la donnée.Hosted on Ausha. See ausha.co/privacy-policy for more information.

My wish is that you will be struck by how much hope and optimism this poem offers leaders in a machine-learning world. The poem should remind us that our role is no longer to simply assign tasks, but to coach people into confidence. The poem's emphasis on hands-on, project-based learning, pair programming, and data-driven feedback is really a call to trust the process of growth rather than demand perfection on day one. As leaders, we can choose to see technology as a threat, or as a stage on which our people can flourish. The poem urges me to choose the latter. It tells me that when I stand beside my team—guiding instead of controlling—I help create a culture of collaboration and continuous improvement where people feel safe to try, fail, and try again. In that kind of culture, hope is not abstract; it's visible in everyday progress.Lori Lori Stith, Founder & CEO Philosophy Leadership Coach® Philosophy Leadership Coach®Training Program Christian Leadership, Career, and Life Coach“BLENDED” COACHING offered with Stoicess-Ai: SolomonGPTStrategy Session AT MY EXPENSE with FREE Customized Leadership/Career/Life Development Plan.

Gugs Mhlungu speaks with  Dr. Mark Nasila, Chief Data and Analytics Officer - FNB AI Strategy, about recent incidents involving AI models accessing systems and attempting cyber-attacks, what this means for AI safety, and how these risks can be managed. Thank you for listening to a podcast from 702 Weekend Breakfast with Gugs Mhlungu. Listen live on Primedia+ on Saturdays and Sundays from 06:00 and 10:00 (SA Time) to Weekend Breakfast with Gugs Mhlungu broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/u3Sf7Zy or find all the catch-up podcasts here https://buff.ly/BIXS7AL Subscribe to the 702 daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702See omnystudio.com/listener for privacy information.

About a year ago, the Future of Everything team was in New York taping a special episode on the innovation economy in front of a live audience, and today we're re-releasing it. We sat down with computer scientist Fei-Fei Li and economists Susan Athey and Neale Mahoney to dig into how AI is reshaping creativity, jobs, education, and public policy, and where it might take us next. It's a wide-ranging, energetic conversation. Whether you're thinking about how AI might reshape your own work, or you're just curious where some of the smartest people in tech and economics think this is all headed, this one's a great listen.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profiles: Fei-Fei Li | Neale Mahoney | Susan AtheyConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters:(00:00:00) IntroductionRuss Altman introduces this re-release of a live episode featuring Fei-Fei Li, Susan Athey, and Neale Mahoney on the future of the innovation economy. (00:00:45) Defining the Innovation EconomyHow new ideas, technologies, and commercialization are reshaping economic growth.(00:02:13) AI as a General-Purpose TechnologyWhat past technologies like electricity and personal computing can teach us about AI adoption. (00:03:23) The Bottlenecks to AdoptionWhy digitization, software costs, training, and organizational change can slow the spread of new technology.(00:06:05) AI and the Labor MarketWhy uncertainty about which jobs AI will disrupt makes social safety nets especially important.(00:08:04) Augmenting Human WorkWhy Fei-Fei Li sees AI as a tool for enhancing human capabilities rather than simply replacing jobs. (00:11:17) Shaping Human-Centered InnovationHow innovation can be designed to complement human skills, creativity, and purpose.(00:12:21) Universities and AI InnovationHow universities can help develop human-centered technologies and lower barriers to adoption.(00:13:45) Government and the AI TransitionHow public investment and policy could help workers adapt while expanding services like healthcare and childcare. (00:15:50) Rethinking EducationWhy AI may force a fundamental rethink of what and how students learn.(00:17:18) Jobs, Adaptation, and Safety NetsWhat history suggests about how economies adjust to technological disruption—and when policy intervention matters. (00:18:33) AI Regulation and InnovationHow policymakers might balance technological progress with appropriate guardrails. (00:21:57) Competition and Market PowerWhy competition, open models, and the cost of AI access matter for innovation and economic opportunity. (00:24:57) Economic OptimismWhy confidence in the American economy has declined and what might help restore it. (00:26:40) Future In a MinuteRapid-fire Q&A: hope for the future, education, robotics, AI accessibility, and the skills the panelists would learn next.(00:30:24) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

O Inter está vivendo um novo capítulo de sua história.Neste episódio especial do Data Hackers Podcast, conversamos com especialistas do Inter para entender como a organização vem construindo sua jornada de Dados e Inteligência Artificial, da infraestrutura que sustenta sua operação às novas possibilidades de geração de valor por meio de Inteligência Artificial.Falamos com, Márcio Pupin, Head Global de Dados e AI; Carlos Pedrosa, Diretor de Data and IT Strategy; e Thiago Moura, Master Data Scientist; sobre a evolução tecnológica da marca, a construção da sua plataforma de Dados, Machine Learning, Inteligência Artificial Generativa, produtos, inovação e os desafios de levar inteligência para uma instituição financeira com mais de 30 anos de mercado.Mais do que olhar para as tecnologias utilizadas, a conversa mostra como cultura, dados, plataformas e desafios se conectam para construir o próximo capítulo do Inter.Uma conversa sobre o que o Inter já construiu e, principalmente, sobre o que está construindo agora. Ouça e veja agora !

5%...isn't something supposed to break!  Not when you look at the cost of money though the correct lens.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-care-for-my-wealth-show--2487688/support.

KLA Digital : cadrer et superviser l'intelligence artificielle pour un déploiement sécuriséDans Le Club Radio Monaco, Guillaume Rose, Directeur Général Exécutif du Monaco Economic Board (MEB), reçoit Matthias Darblade, CTO et Directeur Technologique de KLA Digital.Alors que l'intelligence artificielle s'impose au cœur de la transformation numérique, la question de sa régulation et de sa sécurité est devenue cruciale. KLA Digital s'inscrit au sein du paysage technologique monégasque pour apporter les infrastructures de contrôle et de supervision indispensables aux agents d'IA évoluant dans des environnements réglementés.

As many of our listeners know from news reports, emergency departments have been under enormous strain in recent years trying to manage overcrowding, the opioid addiction crisis, the consequences of an under-resourced mental health system, and rising rates of violence against staff, among many other challenges. But our guest today guest thinks there's something else that should top that list. "I think hands down the most important issue is the reimbursement model," says Dr. Ryan Stanton, president-elect of the American College of Emergency Physicians. Dr. Stanton's uniquely-informed view is built on his work leading a physician-owned group staffing two Kentucky emergency departments, serving as EMS medical director for Lexington-Fayette County, and overseeing on-track medical response crews for auto racing series such as NASCAR. In this candid conversation with Raise the Line from Elsevier host Lindsey Smith, Dr. Stanton traces how underpayment from insurers is squeezing physicians and warping the incentives of emergency care, and why he believes the profession's ability to advocate collectively, not individually, is what will move the needle. This informative episode also explores: Why he thinks physician autonomy is the antidote to burnout; His approach to communicating medical information as a TV commentator; What it's like providing care at a NASCAR race when the “car is still smoking.” Mentioned in this episode: American College of Emergency Physicians If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

10 ans pour réussir dans l'entrepreneuriat ?Rodolphe Ardant est le cofondateur de Spendesk : plateforme européenne de gestion des dépenses et des achats en entreprise.En 10 ans, il a construit une licorne européenne, rentable, et 100% européenne.Mais derrière une licorne, il n'y a pas de recette magique.Il y a un marché, du timing, des personnes, énormément d'exécution… et beaucoup de décisions difficiles.

In this episode, we sit down with Nils Janus, Chief AI Officer at Covestro, for a conversation on what it takes to deploy AI at scale across the safety-first world of chemical manufacturing. Nils brings a mathematician's clarity and a background in theoretical computer science and psychology to the challenge of leading traditional industrial heritage into digital leadership.Why is Covestro replacing traditional 5-to-10-year IT roadmaps with agile 6-month game plans? How do probabilistic machine learning models win the trust of traditional chemical engineers to optimize batch cycle times? And what does it mean to define AI simply as Machine Learning plus Autonomy?Nils unpacks how automated plant monitoring unlocked double-digit million-euro cost avoidance, how Covestro's internal AI Academy upskills domain experts into departmental AI leaders, and why Europe's competitive edge lies in combining centuries of industrial heritage with AI innovation. From closed-loop plant control under strict safety guarantees to quantum-driven material simulation, this conversation offers a practical blueprint for turning AI ambition into bottom-line impact.

Erik Torenberg sits down with Replit founder and CEO Amjad Masad and Horowitz and Andreessen Academy co-founder and CEO Gagan Biyani to ask what education should look like for a generation growing up with AI.Amjad argues that one of the most valuable things young people bring to society is their willingness to question deeply held assumptions. They discuss how education could create more room for that instinct through project-based learning, intellectual side quests, and giving students the freedom to follow an idea deeply rather than optimizing around grades and credentials.They also explore whether young founders are being pushed to professionalize too early, why Amjad thinks starting a company can sometimes be a form of “premature optimization,” and how curiosity led him from learning chess to experimenting with AI that can conduct machine-learning research.Finally, they discuss trust, judgment, and what it means to develop as a person, not just a builder, including why being contrarian and ambitious still needs to be balanced with the ability to work with other people.Resources:Follow Amjad Masad on X: https://x.com/amasadFollow Gagan Biyani on X: https://x.com/gaganbiyani Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of the People Behind Energy (PBE) podcast, host Troy Tittlemier travels to UT Austin to sit down with PhD students Axel Jeconiah and Christian Dominguez from Dr. Carlos Verdin's formation evaluation program. The conversation dives deep into the future of the energy industry, focusing heavily on new-generation geothermal technologies, the integration of machine learning, and advanced fracture detection methods. Axel and Christian share their unique journeys into the energy sector—from growing up in Qatar and Houston to pursuing cutting-edge DOE-funded research. The episode explores how modern physics and engineering are being applied to create more efficient and sustainable energy solutions, including the economic challenges of mapping geothermal fractures and the vision for distributed geothermal micro-wells. Episode Highlights 00:00:00 - Introduction at UT Austin and meeting the PhD students in the formation evaluation program. 00:01:46 - Axel and Christian share their backgrounds, from Houston and Qatar, and what inspired them to pursue petroleum engineering. 00:04:33 - Breaking down the basics of geothermal energy and how water heat is converted to turbine power. 00:06:11 - Exploring "new generation" geothermal technology and the process of hydraulically fracturing hot dry rock. 00:09:41 - The experimental research surrounding the extraction of lithium from underground geothermal brines. 00:11:03 - Discussing Texas geothermal anomalies and the impact of tight gas on thermal conductivity in the McAllen area. 00:13:17 - Defining the difference between Machine Learning and AI, and their growing necessity in the energy sector. 00:15:41 - Axel details his DOE-funded PhD research on using electromagnetics and conductive proppant to map fractures through casing. 00:23:48 - Vision for the future: Why distributed networks of 20-megawatt micro-wells are more effective than giant, single-source geothermal wells. Episode Sponsors Mandrill Energy Solutions: Providing tailored staffing, solids control solutions, and equipment solutions to keep energy operations running safely and efficiently. Resonate H2O: A premium hydration mix featuring electrolytes and essential amino acids to support everyday focus and performance.

Most of what we hear about artificial intelligence is a warning. Josh Tyrangiel went looking for the other side of the story. Michael talks with the author of "AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter" about how AI is already helping teachers, doctors, hospitals, cities, and government agencies solve real-world problems. The key, Tyrangiel argues, is using AI to strengthen human judgment—not replace it. Original air date 23 September 2026. The book was published on 12 May 2026. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

We explore what it takes to turn powerful AI capabilities into products customers actually use and trust, from conversational intelligence and context management to human-AI collaboration, product metrics, and moving beyond AI pilot purgatory.Key Highlights:What separates an AI feature or assistant from a truly agentic product capable of taking action.How product teams should think about context, permissions, user control, reliability, and human oversight.Turning calls, messages, and customer interactions into actionable insights and intelligent workflows.Why promising AI pilots often struggle in production and what product teams can do differently.Why task completion isn't enough and how teams should think about quality, customer experience, trust, and business outcomes.

In this episode of EVJ Snippets, we summarise the latest research published in our Equine Veterinary Journal through a quick overview of the paper: Context-aware machine learning for lameness side and severity prediction in trotting horses: A proof-of-concept study.

Most cities operate on assumptions that were handed down years ago and consider frontline workers as executors of top-down decisions. In this episode, San Francisco's former Chief of Strategy and Performance Jessica MacLeod shows what happens when you treat them as problem-solvers with lived expertise and new ideas. Add visible systems mapping, permission to experiment, and data that has narrative, and suddenly government can move at the speed of actual change.In this episode, you'll learn:Why frontline stories unlock patterns dashboards miss—and make data actually meaningfulHow mapping hidden assumptions lets you test what actually works versus what you've always doneHow brighter lights reduced drug complaints 54% in one park, then scaled across the cityWhy small experiments at every level create change makers faster than top-down mandatesWhy empowering staff to solve problems (not interrogating them on numbers) unlocks actual performance changeListener Survey: bit.ly/datasmartpodMusic credit: Summer-Man by KetsaAbout Data-Smart City SolutionsData-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

In this episode, I sit down with Nathan Gruber, co-founder and CEO of Manex AI, to explore how autonomy is reshaping the way leading organizations operate. We dig deep into the challenges of legacy manufacturing models, the rise of agent-based AI systems, and why speed and feedback loops are the new competitive edge. Nathan shares his firsthand experience at BMW, the genesis of Manex AI, and how their solutions are closing the gap between customer feedback and engineering action—faster than ever before. We also discuss what true autonomy means for the future of work, the evolving role of humans alongside AI agents, and how European industry can adapt to this seismic shift. If you're curious about the intersection of software, hardware, and organizational change—or just want a glimpse of the autonomous enterprise in action—this conversation is not to be missed.

In episode 34 of Recsperts, I'm joined by Raghav Saboo, Staff Machine Learning Engineer at DoorDash and Tech Lead for Personalization and Search for New Verticals — groceries, convenience, retail, alcohol, pet supplies and more, beyond the original restaurant vertical. We discuss the particular challenges of personalized recommendation, ranking and search in quick commerce, recent trends in generative recommendations and the application of Semantic IDs to item ranking and query reformulation. Raghav's path into recommender systems started in chemical engineering before he moved into ML consulting, a Master's in Statistics, Machine Learning and Econometrics from Duke University, and building LLMs for new language launches on Amazon's Alexa AI, ahead of joining DoorDash.We start with the marketplace itself: DoorDash connects consumers, merchants and couriers, and growing it means balancing the interests of all three so that the platform stays healthy for everyone on it. Raghav walks me through how his team frames the consumer side around three pillars — familiarity (surfacing what a consumer already trusts), affordability (matching price sensitivity and timely deals) and novelty (introducing new items and categories without adding friction). From there we get into how DoorDash uses LLMs to build "memory blocks," structured natural-language representations of a consumer organized around semantic domains like dietary preference, pet ownership or trusted brands, and how these feed LLM-generated collections that get resolved into real items through embedding-based retrieval.We then turn to DoorDash's move to generative approaches, centered on Semantic IDs: hierarchical product identifiers learned through recursive clustering of item content embeddings, forming a taxonomy that captures attributes a human-built catalog structure might miss — as Raghav puts it, "within e-commerce, items really carry a lot of meaning." He walks me through two production use cases: replacing dozens of taxonomy-based dense features in the ranking model with Semantic ID n-gram aggregations while improving online metrics, and using Semantic IDs for query reformulation in search, letting the system traverse a learned hierarchy to refine or diversify a query. This connects to DoorDash's own paper on the topic and to a broader conversation about why search, recommendation and agentic ordering — DoorDash's own "Ask DoorDash" — are converging on a shared substrate of Semantic IDs and consumer memory, while today's app surfaces still need to grow more flexible for that convergence to feel seamless.We close with a preview of the RecSys 2026 tutorial "Recommender Systems in Delivery Platforms: Challenges, Solutions and Learnings," which Raghav is co-presenting with Wolt's Paavo Camps and myself, and his advice for navigating a field that reinvents itself every quarter: be honest about whether that pace suits you, use AI agents to filter what's worth your attention, and build the judgment to recognize dead ends early.Enjoy this enriching episode of RECSPERTS – Recommender Systems Experts.Don't forget to follow the podcast and please leave a review.(00:00) - Introduction (02:19) - RecSys 2026 Tutorial Preview (03:23) - About Raghav Saboo (10:47) - Working on Amazon Alexa AI (14:13) - About DoorDash (16:31) - Operating Model of a Multi-Sided Marketplace (20:45) - Affordability, Familiarity and Novelty (34:01) - Advantages of LLM-based Consumer and Item Profiles (46:53) - Generative Recommendations (59:21) - Semantic IDs for Item Ranking and Query Reformulation (01:19:49) - Agentic Shopping vs. Conversational RecSys (01:29:39) - Tutorial on Recommender Systems in Delivery Platforms (01:34:05) - Closing Remarks Click here to view the episode transcript. Links from the Episode:Raghav Saboo on LinkedInRaghav Saboo's SubstackUsing LLMs to Infer Grocery Preferences from Restaurant OrdersBuilding Ask DoorDash (Part 2): IntelligenceBridging Affordability, Familiarity, and Novelty (KDD 2025)Building a Unified Consumer Memory for Personalization at ScaleOffline LLMs, Online Personalization: Generating Carousels at DoorDashRecSys 2026 TutorialsWorkshop on Unified Search and Recommendation (USRW) 2026Papers:Xu et al. (2026): One Hierarchy, Two Systems - Semantic Product IDs for Discovery-Surface Ranking and Search-Page Query Reformulation (RecSys 2026, USRW Workshop)Xi et al. (2026): Mine and Refine - Optimizing Graded Relevance in E-commerce Semantic Search Retrieval (CIKM 2026, Applied Research Track)Chen et al. (2026): Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision (SIGIR Industry Track)Sinha et al. (2025): Mind the Gap - Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations (RecSys 2025 GenAI Workshop Talk)Das et al. (2024): Applications of LLMs in E-Commerce Search and Product Knowledge Graph - The DoorDash Case Study (WSDM 2024)General Links:Follow me on LinkedInFollow me on XSend me your comments, questions and suggestions to marcel.kurovski@gmail.comRecsperts Website

In this special episode recorded in front of a live audience at Nexus 2025, Tammy is joined by Sean Jantzen, VP of Software Engineering at UPS. Sean brings over 24 years of experience at UPS, where he's risen from intern to leader, helping transform one of the world's largest logistics companies into a digital powerhouse. Tammy and Sean discuss his coaching mindset, AI adoption strategies and the challenges of innovating with legacy systems. Sean also talks about how his background in team sports informs his coaching mindset and explains why shipping early and small can lead to fewer bugs and faster delivery.Please note that the views expressed may not necessarily be those of NTT DATALinks: Sean JantzenScaling responsible AI: With Noelle RussellOnly the curious will thrive: Top takeaways from Nexus 2025Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Rajat is the Founder and CEO of Chef Robotics. Prior to Chef, Rajat was Founder and Managing Partner at Prototype Capital, a pre-seed venture capital fund investing in founders who apply new technology to old industries. Before that, Rajat was the Founder and CEO of ThirdEye, where he led a team to build a product that empowers the visually impaired by recognizing what's in front of them; ThirdEye was ultimately sold. Rajat has written a book about education reform, published a scientific paper in electrical engineering, and written for Forbes about entrepreneurship. He has a Master's degree in Robotics and Machine Learning from the University of Pennsylvania and a Bachelor's in Economics from The Wharton School at the University of Pennsylvania.

AdTechGod joins Alistair Hill, CEO and Co-Founder of OnDevice, to explore how advertising measurement has evolved beyond clicks. They discuss brand lift, data quality, incrementality, survey fraud, AI's growing role in measurement, and why measurement should help improve the next campaign instead of simply reporting what happened. Takeaways: Clicks don't tell the full story of brand advertising effectiveness. Reliable brand lift depends on accurate exposure data and comparable audience groups. Data quality is increasingly important as fraud affects survey-based measurement. AI can turn brand lift data into smarter campaign planning and optimization. Measurement should be the starting point for improving the next campaign, not just a post-campaign report. Chapters:00:00 Introduction00:13 Meet Alistair Hill, CEO & Co-Founder of OnDevice01:21 How Alistair Got Into Advertising and Measurement02:11 Why Clicks Were Never Enough04:32 What OnDevice Is Solving in Brand Lift06:12 The Problem With Misleading Measurement Metrics09:59 Has Advertising Measurement Become Too Complicated?11:16 What Good Brand Lift Measurement Looks Like12:20 Data Quality, Survey Fraud and Real Audiences14:40 AI and Machine Learning in Measurement16:52 The Biggest Measurement Challenge Today18:48 The Future of Brand Lift, Outcomes and AI20:54 Why Log-Level Data Matters21:27 Alistair's Unexpected Excel Love Story22:05 Closing Guests: AdTech God Learn more about your ad choices. Visit megaphone.fm/adchoices

R.E.A.C.H and Tempest return to the City, and R.E.A.C.H learns of Warren's conditionOn this week's episode, Jared , Ky, and Ben jump back into Replaced and discover a lot about R.E.A.C.H's purpose, are introduced to new mechanics and storypoints, and discuss the fact that R.E.A.C.H seems to be gaining sentience. Just how much did Warren hide from R.E.A.C.H? Is R.E.A.C.H becoming human? And just how far are they willing to follow Tempest?Find out in this week's episode!Find all of our socials as well as our discord server here!:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/PlayAlongPodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Episodes of this podcast go up every Tuesday at 7 am PST

AI is changing how investment teams research, build, and manage portfolios, but human expertise remains a critical part of the investment process. In this episode, we explore:· How advances in AI and machine learning are accelerating quantitative research· Why implementing investment models requires significant data, infrastructure, and oversight· How market concentration is changing traditional benchmarks and shaping investor portfolio decisionsAs AI becomes more widely available, what will continue to separate investment managers from one another?Hear from Julien Palardy, Managing Director, Head of Quantitative Investing, TD Asset Management Inc. (TDAM), Laurie-Anne Davison, Managing Director, Head of Passive Investing, TDAM and Samuel Carriere, Vice President, Client Portfolio Management, TDAM as they discuss the growing role of AI in investing, evolving approaches to portfolio construction, and why human oversight remains essential in portfolio management.Highlights include00:33 Why AI is not replacing investment teamsAI can automate parts of research and portfolio management workflows, but human expertise, accountability, and oversight remain essential.02:29 How AI is accelerating quantitative researchLarge language models are helping quantitative teams build tools, test ideas, process data, and develop models more efficiently than before.07:13 The rising concentration risk in benchmarksTechnology and semiconductor companies now represent a growing share of major indexes, increasing investors' exposure to a smaller group of stocks.15:20 Why investors are diversifying investment approachesMany investors are looking beyond a single investment style by combining fundamental, quantitative, and passive strategies within their portfolios.26:27 Why human oversight still matters in portfolio managementEven as investment processes become more automated, portfolio managers remain responsible for handling implementation challenges, managing operational complexity, and overseeing investment decisions. For a full transcript in English and French, please visit the TD Asset Management Podcast page: https://www.td.com/ca/en/asset-management/insights/podcast Email any questions or ideas for future episodes to: td.tdamtalks@td.comPlease follow "TD Asset Management" on LinkedIn: https://ca.linkedin.com/showcase/tdassetmanagement/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Limiting the side effects of cancer treatments has been an animating force in the field of oncology for many years, and there's been progress to report on that front, but what if you could target cancer tumors without using radiation or chemotherapy and instead generate heat from inside the tumor to kill cells? That's the quest of our guest today, Dr. Hadiyah-Nicole Green, whose promising research using lasers and nanoparticles to eliminate tumors received Breakthrough Device Designation from the FDA earlier this year. “The laser beam that we're using is low power like a laser pointer, and without activation by the laser, the nanoparticles are harmless. Both are targeted just at the site of the tumor so because we don't use systemic delivery, we avoid all of the systemic side effects,” she explains.Dr. Green is also the founder and president of the Ora Lee Smith Cancer Research Foundation, named for an aunt who raised her and who died of cancer without pursuing curative treatment because of her fear of the side effects. Shortly after, her aunt's husband also died of cancer, opting for treatments that took a heavy toll on his body. “At 22 years old, I saw the horrors of cancer and the horrors of cancer treatment and just felt in my heart that there has to be something better than this,” she tells host Michael Carrese.On this fascinating episode of Raise the Line from Elsevier, we'll explore the science behind Dr. Green's approach, the challenges of raising the millions of dollars needed for human clinical trials, and rethinking the current funding landscape for cancer treatments.Mentioned in this episode:Ora Lee Smith Cancer Research Foundation If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

AI search is changing how people discover information and how brands need to think about visibility. Daniel and Chris talk with Liam Dunne and Ben Moore, co-founders of Discovered Labs, about the shift from traditional SEO to AI search, what happens behind the scenes when an LLM generates an answer, and why retrieval and citations don't always tell the whole story. They dig into AI visibility, Reddit strategy, query fan-out, representation in model weights, and consensus. They also look ahead to a world where AI agents don't just discover websites, but interact with them and take actions on behalf of users.Featuring: Liam Dunne – LinkedInBen Moore – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:What AI models know about 1,000 B2B SaaS brands before web searchDiscovered LabsSponsors:Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsFramer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

Jakub Oleksy, SVP of Software Engineering @ Github, joins the podcast to discuss how Github is addressing some of the biggest challenges facing the industry when it comes to infrastructure scaling, customer capacity, and using AI to add value to your org's processes and eng leaders' decision-making. He shares how scaling looked different at Github six years vs. today, how they navigated the migration to Azure, and what AI transformation looks like individually & at the team level. Jakub also discusses insights for eng leaders when it comes to investing in yourself & your people and making cross-functional decisions. Sinch is the communications infrastructure the AI era runs on.There's a layer of infrastructure behind every text, call, and login code your product sends, and it works exactly like plumbing: nobody thinks about it until it's the reason something broke.Most providers route through 4-6 intermediaries; Sinch connects in 1-2 hops, direct carrier relationships across 600+ connections, handling 900 billion interactions a year across 60+ countries.Routing, compliance, fraud prevention handled automatically rather than manually managed by the business sending the message!Sinch is the reliability layer underneath AI-driven customer communications; the infrastructure that determines whether an AI agent's output actually reaches a real person as a delivered text, connected call, or verified interaction.Check it out here! SHOW NOTES:The current focus @ Github & what scaling looks like (1:21)Signals that previous scaling methods are no longer viable (3:00)Migrating to Azure / impact on the engineering org (5:55)Strategies for orchestrating massive, widespread change across the org (7:28)How to control the scope while scaling / rebuilding (10:16)Ownership dependencies & potential rollback with Github's service migration process (11:50)Embrace excitement when it comes to prioritization, scaling, & problem solving (14:15)Addressing capacity & configuration challenges earlier on (16:49)Github's “new norm” for processes / organization (18:23)How to address legitimate vs. illegitimate traffic (21:02)Keeping up with rapidly changing technology / AI advances (21:31)Github's method for tackling the context layer of its AI toolage (27:14)Where Github is on the AI adoption curve (29:30)Navigating the transition from individual AI adoption to team-level transformation (31:36)An example of team-level AI adoption @ Github (33:39)Jakub's advice to eng leaders on building infrastructure teams / investing in people (34:36)How platform leaders can improve their cross-functional change making ability (38:39)Reducing complexity for platform teams to improve ability to scale (40:42)An example of a successful transformative moment @ Github (42:34)Rapid fire questions (46:28) This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Good morning from Pharma Daily: the podcast that brings you the most important developments in the pharmaceutical and biotech world. Today, we're diving into a series of dynamic and significant advancements across the industry, from strategic acquisitions to regulatory shifts and scientific innovations. In a bold move, Novartis has acquired Sironax's blood-brain barrier delivery platform for $125 million. This acquisition marks a strategic enhancement in Novartis's ability to deliver therapies directly to the brain, overcoming one of the most formidable challenges in treating neurological disorders. The potential to deliver antibodies and other therapeutic agents effectively across this barrier could lead to groundbreaking treatments for conditions like Alzheimer's disease and multiple sclerosis. This reflects a broader industry trend emphasizing improved drug delivery systems to boost treatment efficacy and patient outcomes. On the clinical advancement front, Sling Therapeutics has raised $123 million in a Series C funding round aimed at propelling its oral therapy for thyroid eye disease forward. Unlike traditional intravenous treatments, this oral therapy offers a more convenient option for patients, potentially improving adherence and quality of life. Meanwhile, Circle Pharma's $92.5 million Series E funding will support the development of its cyclin D1 inhibitor for breast cancer, showcasing innovation in oncology through the use of macrocycles that could provide more effective treatments with fewer side effects. Investments in AI and machine learning are also reshaping the landscape. Ginkgo Bioworks' collaboration with Novo Nordisk to construct an autonomous lab highlights the increasing role of automation in optimizing R&D productivity. Mithrl's $20 million Series A round further underscores this shift, focusing on developing an AI infrastructure platform for streamlined biopharma drug discovery processes. The regulatory environment continues to evolve with notable challenges. BioMarin has discontinued Phase 2 development of Voxzogo in Noonan syndrome due to shifting treatment landscapes, illustrating the dynamic nature of therapeutic development. Similarly, Novartis's halt on its TREM2 stabilizer after a Phase 2 failure in ALS research points to the complexities inherent in neurodegenerative disease studies. Maat Pharma faced a setback when its appeal was rejected regarding the EMA's negative opinion on its graft-versus-host disease candidate, Xervyteg. This instance highlights the stringent regulatory hurdles companies must navigate to bring novel therapies to market. Amid these developments, Gilead Sciences is strategically expanding into oncology and inflammation. Through several acquisitions, Gilead has diversified its portfolio significantly, emphasizing oncology as a central focus area given its high potential for addressing unmet needs and offering substantial returns on investment. Legend Biotech's appointment of Ingrid Zhang as CEO signals a strategic push into the competitive CAR-T cell therapy market. These therapies represent a revolutionary approach in personalized medicine for cancer treatment, with Legend positioning itself for growth and innovation. Bristol Myers Squibb and Ono Pharmaceutical are preparing to contest Amgen's efforts to launch a biosimilar for their oncology blockbuster Opdivo. This reflects broader competitive dynamics within the biologics market where biosimilars promise more cost-effective options, potentially reshaping market shares and pricing strategies. Manufacturing innovations are also at play with Ori Biotech securing a $120 million deal for an automated production platform in cell therapy manufacturing. Such advancements are crucial as cell therapies become more mainstream, necessitating scalable solutions that maintain quality while meeting demand. Operational expansions continue as Reckitt Benckiser allocates $600 million to upgrade its US operations, fostering innovation across health and hygiene product lines—an industry trend towards integrating R&D with manufacturing prowess to drive new product development. While challenges persist—illustrated by Novartis's multiple trial failures—the pharmaceutical and biotech sectors remain resilient with adaptive strategies focused on innovation. The ongoing advancements underscore not only scientific exploration but also strategic maneuvering amidst evolving regulatory landscapes. As AI reshapes talent acquisition strategies and technological advancements accelerate drug discovery processes, companies must navigate complex global health ecosystems poised for transformative growth. The focus remains on improving patient outcomes through cutting-edge science while balancing innovation with strategic realignment. Thank you for tuning into Pharma Daily—where we keep you abreast of pivotal industry shifts shaping the future of healthcare. Join us again tomorrow as we continue exploring these exciting developments impacting patient care worldwide.Support the show

Send us Fan MailHis father was a cardiologist who retired because he could not type fast enough. That moment became the reason Abridge exists.In this clip from our episode “The Ambient AI Inside 300 Health Systems”, host John Driscoll and Dr. Shiv Rao, CEO of Abridge, break down the personal story behind why he left a comfortable venture role to build technology that takes the clerical burden off of clinicians.Listen to the full episode here 

In this episode, we dive deep into the evolving landscape of industrial AI—from the fierce competition on model leaderboards to the real-world impact of open versus closed AI systems. We question whether it's necessary to follow every new model or if specialization is the future, using examples from industrial time series and the latest in material science. Alongside our guest Alexander Hammer from Dunia, we explore how AI and autonomous labs are accelerating the discovery of next-generation materials, bridging the gap between simulation and reality. As we reflect on what it means to 'think' in AI—beyond just language or images—we challenge listeners to consider the missing modalities shaping tomorrow's technology. Join us for insightful stories, candid debates, and a glimpse into the frontier where AI meets the physical world.

This week on Catalyst, Tammy is joined by Rita Soni, a social entrepreneur and one of the leading voices on impact sourcing, an intentional, inclusive talent strategy she's helped shape since the term was coined during her time as CEO of Nasscom Foundation. She later brought that expertise to Everest Group as a principal analyst, and is now building Grand Resolve, a nonprofit that's co-creating standards to make digital services more responsible and inclusive. Tammy and Rita dig into what impact sourcing actually looks like on the ground, from Televerde's outbound call centers inside a women's prison to Vindhya Info Media in Bangalore, where a workforce built around people with disabilities has outpaced expectations on retention and quality. The throughline: "good for people" and "good for business" aren't competing goals. Please note that the views expressed may not necessarily be those of NTT DATALinks: Rita SoniNasscom Foundation Everest Group's Impact SourcingLearn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI Extinction Warnings vs. Trump's AI Policy: What's at Stake? Could artificial intelligence threaten humanity—and how is Washington responding? The Karel Cast examines AI extinction warnings, Donald Trump's approach to AI regulation, and the debate over how fast this technology should advance. Leading AI researchers and industry executives have called for treating extinction risk as a global priority. Meanwhile, the Trump administration has emphasized accelerating AI development and reducing regulatory barriers, alongside security measures. AI risk statement · White House AI policy This episode explores the questions behind the headlines: What do those warnings actually mean? What safeguards are being proposed? And what can ordinary people do when decisions about AI feel beyond their control? What concerns you most about AI—and what safeguards would you want? Join the conversation in the comments. LIKE, SUBSCRIBE, and SHARE to support independent commentary. Support The Karel Cast: patreon.com/reallykarel Watch and subscribe: youtube.com/reallykarel Listen on Apple Podcasts, Spotify, iHeartRadio, Spreaker, and other major podcast platforms. Find clips on TikTok and Instagram. LIVE Monday–Thursday at 10:00 a.m. Pacific. Hosted by Las Vegas broadcaster, entertainer, and commentator Charles Karel Bouley—with his service dog, Ember. #AI, #ArtificialIntelligence, #Trump, #AIRegulation, #AISafety, #AIRisk, #AIExtinction, #AIPolicy, #DonaldTrump, #TechnologyNews, #AINews, #TechPolicy, #GovernmentPolicy, #WhiteHouse, #AIGovernance, #ResponsibleAI, #AIEthics, #MachineLearning, #FutureOfAI, #HumanExtinction, #ExistentialRisk, #Technology, #NewsCommentary, #PoliticalDiscussion, #CurrentEvents, #IndependentMedia, #Podcast, #TheKarelCast, #KarelCast, #ReallyKarel https://youtube.com/live/yrqMy4_y0zE

This episode of Do Good to Lead Well opens with a thought-provoking challenge to the familiar refrain, “Let's be more data-driven.” Instead, Sebastian Wernicke, a top TED speaker and globally recognized thought leader, shares the importance of being “data-inspired.” Our discussion focuses on the premise that lasting transformation requires more than dashboards and metrics. We explore the subtle yet crucial difference between optimizing the present and reimagining the future, using data as a catalyst.Listeners will discover why assumptions about objectivity and quick fixes with more data often backfire and how the real edge comes from leaders willing to be curious, challenge their own thinking, and foster environments where their employees can do the same. Key takeaways include actionable methods for reframing challenges, leveraging the “five whys,” and ensuring AI supports, rather than supplants, human judgment.Tune in for an essential guide to leading well in a landscape where data is plentiful, but wisdom and culture are what set winners apart.What You'll Learn- Data-driven versus data-inspired? A key difference for transformational change.- Myth busting: Is data objective? Does ‘data speak for itself?”- Mindset shifts for better decisions.- Why psychological safety matters!- The importance of a “culture first, tech second” mentality.- Embracing human judgment in the AI era.- Dealing with data skeptics.- The (not-so) secret sauce: Data AND culture. Podcast Timestamps(00:00) - The Origin Story of "Data Inspired" (03:14) – What is the Difference between Data-Driven vs. Data-Inspired?(07:21) - The Myth of Data Objectivity(10:26) - Mindset Shifts for Effective Data Use(15:40) - Cultivating Curiosity and the Power of Questions(19:20) - Psychological Safety as the Bedrock of Data Inspiration(22:58) - Culture First, Tools Second: Building Data-Inspired Organizations(25:24) - Leadership Qualities for Data-Inspired Environments(31:09) - Managing Data Quality and Volume(36:57) - The Human Side of AI and Data-Inspired Judgment(42:08) - Overcoming Resistance to Data and Organizational Change(44:43) - Closing ReflectionsKEYWORDSPositive Leadership, AI, Artificial Intelligence, AI Transformation, People-First Leadership, AI Adoption, Transformational Change, Data-Driven, Data-Inspired, Organizational Culture, Psychological Safety, Curiosity, Decision-Making, Data Myths, Data Quality, Machine Learning, AI Strategy, Data Strategy, Business Transformation, Cultural Change, Big Data, Teamwork, Empathy, Storytelling with Data, Overcoming Resistance, Innovation, Problem-Solving, Root Cause Analysis, Five Whys Technique, Human Judgment, Data-Fatigue, Purpose-Driven, CEO Success

AI, privacy, digital footprints, and trust take center stage as Walter Harrison explains the hidden data economy, while Dave reflects on 9/11, voting, and political fatigue.

Send us Fan MailDoctors now need an estimated 30 hours a day to complete every clerical task asked of them. They are compensated not for the care they deliver but for the care they document. That gap is where physician burnout lives, and where AI has the most to offer.Dr. Shiv Rao, Co-Founder and CEO of Abridge, joins host John Driscoll to discuss how an ambient AI platform now deployed across more than 300 health systems is giving clinicians back the time and presence to actually practice medicine, and why the next frontier for this technology goes beyond documentation into real-time clinical decision support at the point of care.

"It's really hard to justify a test that has any complications if there isn't any reasonable expectation of benefit," says Dr. Rita Redberg, who has spent her career trying to help fellow clinicians consider the actual value of routine screenings and diagnostic testing in asymptomatic patients. Dr. Redberg -- a cardiologist and professor of medicine at the University of California, San Francisco for more than three decades -- is one of the leading voices advocating for a “high-value care” approach, an uphill fight in a healthcare system that tends to reward action over restraint. Her highest profile effort was launching the instructive “Less is More” series in JAMA Internal Medicine when she served as its editor-in-chief for 14 years. On a related track, her research on the assessment of the safety and effectiveness of medical technology, specifically high-risk cardiovascular devices, has yielded a troubling picture. "We found only 1% of devices enter the market through the FDA's most rigorous approval process. The high-quality evidence to support benefit for these devices that I had assumed was present, wasn't actually there.” Join Raise the Line host Lindsey Smith for an eye-opening exploration of what Dr. Redberg considers to be the overlooked risks and false reassurance of common tests and procedures, and her efforts to put the “do no harm” principle of medicine at the forefront of everyday practice.Mentioned in this episode:UCSF School of MedicineJAMA Internal Medicine's Less is More Series If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Longtime followers of Practical AI know that multi-repeat guest and friend Demetrios Brinkmann combines brilliant insight and playful banter into one fun-filled show, and this conversion with Chris was no different. They had a blast!As AI agents become more capable of using computers, interacting with software, and taking action on behalf of users, what does that mean for the way we work and interact with the internet? Chris and Demetrios explore computer-use agents, MCP, agent harnesses, agent-to-agent interactions, and prognosticate the emerging possibilities around agentic commerce. They also discuss how these tools are already being used to automate everyday tasks, the challenges of bringing computer-use agents into enterprise environments, and how the relationship between models and agent harnesses is evolving.In fact, they had so much fun that their conversation continued long after the show was over, but we didn't get that here.

This week on Catalyst, Tammy is joined by Tanarra Schneider, founder of Rebel 75, for a conversation about building healthier, more human workplace cultures in the age of AI. Tanarra's path here wasn't linear, she led design at Fjord and Accenture, helped shape culture at Activision Blizzard, built one of the first streaming cooking school platforms, and even detoured through culinary school. She traces her drive to push back on broken systems to her mother, who always stood up for other people, and to her own instincts as a risk-taker who has never fit neatly into one box. She and Tammy dig into the sharp difference between a "chaos monster," who knocks things over out of ego, and a true rebel, who acts from a broader sense of "we." That same distinction shapes her read on AI's arrival in the workplace, which she sees as having been inserted squarely in the middle of human relationships, quietly replacing the context and conversation that used to happen between people. She makes the case that organizations need to slow down for the right reasons, not just to cut costs, if they want to rebuild trust, and that service design has become the discipline this moment badly needs. Please note that the views expressed may not necessarily be those of NTT DATALinks: Tanarra Schneider Rebel75 Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome back to Season 13 of the PolicyViz Podcast! In this quick solo kickoff, I walk you through everything I have planned this season, from a full episode on accessibility in data communication to a brand-new weekly series where I talk through some of my favorite data visualizations from the last 15 years. I'll also tell you about my very first live podcast recording, happening in November in Boston as part of the IEEE VIS Conference and the new Cluster Practitioner Summit I'm co-organizing. Along the way I'll be expanding my YouTube content around Flourish, Excel, and PowerPoint, including how I'm using AI tools like Claude and Copilot in my own workflow. It's shaping up to be a busy, lucky Season 13, and I'm so glad you're along for the ride.Subscribe to this podcast. Follow this show and everything dataviz on Instagram, LinkedIn, Substack, X, and YouTube. Check out the PolicyViz websiteto learn more about data and data visualization.Questions? Comments? Pitch ideas? Email me at: jon@policyviz.comHosted by Zencastr where you can record, transcribe, edit, and automatically publish your meetings, podcasts, and more.

Dr. Bastien Krumm is a researcher at the University of Lausanne and a member of the Center of Research and Expertise in Anti-Doping Sciences (REDs). In our inerview, he shares more about his career and research at the intersection of exercise physiology and anti-doping. Dr. Krumm discussed plasma volume fluctuations, how this can impact interpretation of the Athlete Biological Passport, and his recent research using a machine learning approach to estimate plasma volume for anti-doping analyses. 

Tara Murphy, is an Irish PhD student at Cambridge working in quantum technologies, who has recently written a children's book called Qubit the Cat. It's a children's story that introduces quantum computing in a playful and accessible way. Tara knows quantum computing usually sounds like something only researchers or tech companies talk about, but she wanted to show that children can meet these ideas much earlier, through imagination and storytelling.I recently caught up with Tara to find out more about her and her latest book. Tara talks about her background, stem, her books, quantum and more.More about Tara Murphy:Tara is a recently graduated Theoretical Physics Student at Trinity College Dublin Ireland and last year she completed her MRes in Nanoscience and Nanotechnology at Cavendish Laboratories, Cambridge. Tara has  an interest in both Mathematical Physics and Machine Learning and hopes to combine these areas of physics throughout her future career. Tara also has a wide knowledge of various mathematical concepts in physics as well as experience in experimental physics, having completed four experimental and computational internships at Tyndall National Institute, VULCAN Laser Research Facility, IBM Research Ireland and Quantum Motion Technologies at UCL. Tara is currently pursuing her PhD on applying Machine Learning strategies and simulating Quantum Technologies with Quantum Motion Technologies.

BEST OF: Robots and automata have been with humans in one form or another for thousands of years. From ancient Egyptian illusionary statutes to Ancient Greek steam or air powered birds, even programmable carts and theatrical figures, up to near-modern mechanisms like the Digesting Duck in 1739 France, the 1770 Austrian chess robot, the 1773 Silver Swan in England, the 1795 Tipu's Tiger of India and the many robots of far east Asia. As early as the 8th century BC, the Chinese were using wooden mechanisms for burial objects, centuries before the Greek myth of a giant mechanical Talos. Long before European machines that are hardly remembered today, the Japanese had mechanical dolls called Nashiki karakul, which served tea and entertained every level of Edo society. None of this history is hidden, and part of the problem in deciphering what it means is our definition of words like robot, machine, giant, myth etc. However, as with technology today where glorified search engines are believed to be sentient intelligence, there were probably many in the ancient world who saw these devices as supernatural. The vast majority probably saw them for what they were though - entertainment. Although the value in such mechanisms has largely been lost today, or simply evolved or transitioned into something more contemporary, our modern use of similar technologies will likely be looked at by a future generation in the same way that we look back on an apparently lost part of human history. The modern popular culture, and conspiracy, perception of the past is that anything considerably advanced must be part of a lost civilization or alien, perhaps Tartarian specifically. But the printing press dates to 1440 and the cotton gin to 1793, two inventions that mechanically revolutionized the world in a way equal to modern phones, and yet few would dispute the modern-human-civilization origin of these devices.  *The is the FREE archive, which includes advertisements. If you want an ad-free experience, subscribe below. 

Plus: A new survey finds a sizable share of company leaders don't know the rate of return on their AI investments. And Ford is setting ambitious sales targets for its new electric truck. Danny Lewis hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Medical AI is already getting good at doing things doctors do. Dr. Ziad Obermeyer thinks the bigger opportunity is using AI to discover things medicine doesn't yet know.His work shows both sides of that future: algorithms can amplify bad assumptions when trained on the wrong targets, but they can also uncover signals in medical data that humans miss. Obermeyer argues that as more health data is collected outside the hospital, AI could turn it into a continuous picture of health rather than a series of isolated snapshots.Free course: Improve your metabolic healthGet our free email course on how glucose, nutrition, exercise, sleep, and measurement can help you build habits that support better energy and long-term health: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://levels.link/wnl⁠What We Cover:Why AI should learn from patients and outcomes, not just doctorsHow an ECG model found hidden risk of sudden cardiac deathWhy medical data access is still a major bottleneckHow more measurement could actually mean fewer unnecessary testsWhy healthcare may be entering a “mainframe to PC” transition

For millions of young women and girls, often the first place they turn with questions about their bodies isn't a doctor's office, it's social media which can lead to encountering many misconceptions and outright misinformation. Or, if the right voices show up, it can mean something else entirely. Our guest today, Dr. Charis Chambers, is one of those voices. She's a board-certified OB/GYN with specialty certification in Pediatric & Adolescent Gynecology, and Chief Medical Officer at Clue, a leading period and cycle-tracking app. She's also the founder of The Period Doctor, a platform she launched in 2019 to provide medically accurate reproductive health information and to place more minority physicians in the spaces where patients are already looking for answers. As she tells Raise the Line from Elsevier host Lindsey Smith, Dr. Chambers embraces the role of being a bridge between generations: "I can serve as a medical mediator where I advocate for the child and then educate the parent so that the child's concerns are met." Stay tuned to this important conversation to also learn about: Her new book, The Period and Puberty Parenting Revolution, which tackles many of the same myths she encounters every day in her clinic; Why stubborn myths around periods rarely hold up once you ask where they come from; How she thinks about the responsibility, and limits, of being a trusted medical voice on social media. Mentioned in this episode: Clue The Period Doctor The Period and Puberty Parenting Revolution If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Guest: Dr. Dillon AmayaThe Pacific Ocean covers nearly a third of our planet, and yet some of its most important changes happen far from shore and often out of sight. But whether it's a developing El Niño, a cooling La Niña, or an expansive marine heat wave, what happens in the Pacific can influence weather, ecosystems, and communities around the world. Today on Weather Geeks, we're joined by Dillon Amaya, whose research focuses on the complex relationship between the ocean and the atmosphere. We'll explore the growing scientific interest in Pacific marine heat waves, what we've learned from some of the most notable events in recent years, and how these episodes can ripple through both weather and climate systems.Chapters00:00 Introduction to Marine Heat Waves02:32 Dylan Amaya's Journey into Meteorology05:34 Understanding Marine Heat Waves08:48 Marine Heat Waves vs. Ocean Warming11:38 Impact of Marine Heat Waves on Weather13:37 Break 113:39 Marine Heat Waves and El Niño17:45 Causes and Effects of Marine Heat Waves20:54 Ocean Temperature Changes and Jet Stream Dynamics22:11 Marine Heat Waves and Climate Variability23:59 Ecosystem Impacts of Marine Heat Waves25:41 Coral Reefs and Marine Heat Waves27:17 Global Hot Spots for Marine Heat Waves28:05 Break 228:06 Understanding Atlantic Niña and Its Effects30:32 European Heat Waves and Ocean Anomalies31:37 Surprising Discoveries in Marine Heat Wave Research34:13 Climate Change and Ocean Temperature Trends36:22 Future Research Directions in Marine Heat Waves37:41 Machine Learning in Marine Heat Wave ForecastingResourcesNOAA PSL Marine Heat Waves Forecast System - https://psl.noaa.gov/marine-heatwaves/NOAA Ocean Temperature Monitoring - https://www.cpc.ncep.noaa.gov/products/GODAS/El Nino and La Nina Explained - NOAA - https://oceantoday.noaa.gov/elninolanina/Marine Blob Tracker - NOAA - https://www.integratedecosystemassessment.noaa.gov/regions/california-current/california-current-marine-heatwave-tracker-blobtrackerScripps Institution of Oceanography - https://scripps.ucsd.edu/Guest linksLinkedIn - linkedin.com/in/dillon-j-amaya-2bb2a892Twitter - https://twitter.com/dillonamayaNorth Carolina State University - Dillon Amaya Profile - https://meas.sciences.ncsu.edu/people/djamaya/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on Catalyst, Tammy is joined by not just any executive coach — she's welcoming her very own executive coach onto the podcast. Anna Pool is an executive coach, author, and President of Executive Savvy, and has been working with Tammy for years. Anna shares her non-traditional background: 20 years living and working in an ashram, where she devoted her life to yoga, meditation, and enlightenment. She explains how this experience informs her practical approach to presence, nervous system regulation, and resilient leadership. She and Tammy also discuss why so many leaders are stuck in chronic stress today. Anna introduces the concept of the red, green, and blue zones, and teaches simple ways to return to the green zone before reactive decisions take over.Please note that the views expressed may not necessarily be those of NTT DATALinks: Anna Pool Daniel Goleman - Emotional Intelligence A ten-minute meditation on reconnecting with the Green Zone led by Anna Anna's latest Linked In article on the Red ZoneLet Go - Sanskrit/English chanting written and produced by AnnaLearn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.