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Insurance pool sounds alarm after Seattle schools screen 75,000 kids and hand them to unlicensed ‘intervention’ staff. Data center hysteria continues to infiltrate the Republican Party. Guest: UW atmospheric scientist Cliff Mass gives a preview of what we can expect from this early bout of fall weather. // LongForm: GUEST: David Dunbabin is the Chair of the Whitman College Republican Club, which the school declined to recognzie and now the group is threatening legal action. // Quick Hit: Attorney General Todd Blanche says the Justice Department is taking action against schools that are hiding trans kids’ name changes from their parents. Maria Bartiromo has left Fox Business.
Join Sia Nejad, Chip Patterson, Tom Casale, Matt Snyder, and Danny Brasco as they dish out their picks for College Football Thursday, MLB, UFC, and MORE!(0:00) Intro (1:41) Wednesday Recap Screen(2:06) Free Sportsline MLB and Soccer Bets(6:43) Snyper's MLB Bets(9:50) Tom's College Football Picks (18:30) Danny's UFC Picks(25:21) Chip's College Football Pick(31:05) Bonus College Football and MLB BetsFree NFL Pick 'Em Contest: https://app.splashsports.com/contest/d932541e-2ff5-4419-83c7-1acfe6e2e3d1/detail
Paris' new book Hyperscale: The Ambition and Excess of Big Tech's Data Empires is coming out on October 20. To celebrate, we're revisiting the series that planted the seeds for his deep dive into hyperscale data centers, the communities they're affecting, and the future Silicon Valley is trying to build. This is episode 1 of Data Vampires, a special four-part series from Tech Won't Save Us.The show is hosted by Paris Marx. Original production on Data Vampires was by Eric Wickham. Current production is by Kyla Hewson. Support the show on Patreon.Also mentioned in this episode:Preorder Hyperscale to support Paris at hyperscalebook.com.Senior cloud consultant Dwayne Monroe and Associate Professor in Economics Cecilia Rikap were interviewed for this episode.If you missed it, check out Cecilia Rikap's latest chat with Paris here and grab her book The Rulers.Interviews with Jeff Bezos and The Oregonian journalist Mike Rogoway were cited.Support the show
How do you give sports fans deeper insight into a live match without covering the action with statistics they never asked for? Two years ago, I spoke with Patrick Mostboeck in episode 2788, How Sportradar Are Revolutionizing Sports with AI. Patrick returns to Tech Talks Daily as Senior Vice President of Fan Engagement at Sportradar for a timely conversation during the U.S. Open about how AI and real-time sports data are changing the way fans follow a match. We begin with the move from scores, schedules, and basic statistics to thousands of data points that can describe what is happening on the court or field. Patrick explains that the value comes from context. In tennis, ball position, shot type and player movement can reveal patterns around fatigue, court positioning and momentum that may be difficult to see from the television picture alone. AI can process those signals quickly enough to help broadcasters and digital services explain why a match may be changing. That creates an obvious temptation to show everything. Patrick is candid about the lesson Sportradar has learned from putting products in front of users: less is often more. A product team may want to display every feature it has built, while the fan simply wants to understand the action. The technology works best when the improvement feels natural and the viewer does not have to fight through a stream of graphics. We also consider the second screen. Many of us now watch sport with a phone or tablet nearby, checking other scores, following another match or looking for an explanation of a moment we have just seen. Patrick argues that media companies and rights holders can support those habits by offering different routes into the same event. A first time tennis viewer may need immediate context, while a fan who has watched the sport for 25 years may want deeper performance data. Personalization can serve both groups without taking away the shared experience of live sport. Patrick explains how Sportradar's 4Sight combines 3D data visualization, contextual data, and real-time insight inside live streams. The aim is to identify relevant moments and provide a clear narrative rather than add graphics for their own sake. He also describes official sports data as infrastructure that rights holders can actively develop and commercialize across media, advertising, coaching analytics and other services. For organizations wondering where to begin, Patrick offers a practical sequence. Start with the fans and identify the information they value before and during an event. Assess the quality and history of the data already available. Then speak with partners who understand how that information can support useful products and sustainable commercial models. We close by discussing prediction. Better data can help systems model possible outcomes for fans, media teams and coaches, but sport still retains the uncertainty that makes it worth watching. Will predictive insight deepen our appreciation of the action, or could too much information remove some of its magic? Listen to the conversation and share your thoughts with me.
This episode is presented by Create A Video – America is seeing a near-revival of nuclear power generation thanks to a streamlining of the regulatory process and new technology that makes nuclear mass-manufacturable and safer. Plus, why is sales tax revenue flat-lining in Mecklenburg?Become a supporter of this podcast: https://www.spreaker.com/podcast/the-pete-kaliner-show--6946691/support.Subscribe to the podcast My preferred podcast platform: SpreakerCheck out my preferred gold & silver company: Revelation Gold GroupHelp support Pete's Walk to End Alzheimers here.All the links to Pete's Prep are free! Plus get exclusive content here!Media Bias Check: GroundNews promo code!Advertising and Booking inquiries: Pete@ThePeteKalinerShow.com
Today, we're talking to Desikan Madhavanur, Chief Technology and Product Officer at Capital One Software. We discuss why the cloud has quietly resurrected the same data problems companies thought they'd solved decades ago, why the average enterprise tool now survives just 12 to 18 months, and why understanding customer need will end up mattering more than any single technical skill.
Mergulhamos na história dos Vory v Zakone (“ladrões na lei”) que vão se tornar a Bratva (máfia) atual, desde suas origens no Império Tsarista e Gulags soviéticos, passando pelo envolvimento com o regime comunista, impactos econômicos na URSS e na Era Putin, até curiosidades sobre ligações com o governo, cibercrime e geopolítica. Descubra como a máfia russa evoluiu para ferramenta de influência global, evasão de sanções e a economia fantasma. Patronato do SciCast: 1. Patreon SciCast 2. Apoia.se/Scicast 3. Nos ajude via Pix também, chave: contato@scicast.com.br ou acesse o QRcode: Sua pequena contribuição ajuda o Portal Deviante a continuar divulgando Ciência! Contatos: contato@scicast.com.br https://twitter.com/scicastpodcast https://www.facebook.com/scicastpodcast https://www.instagram.com/PortalDeviante/ Fale conosco! E não esqueça de deixar o seu comentário na postagem desse episódio! Expediente: Produção Geral: Tarik Fernandes e André Trapani Equipe de Gravação: Tarik Fernandes, Maria Oliveira, Gustavo Rebello, Luis Filipe Herdy Citação ABNT: Scicast #695: Máfia Russa. Locução: Tarik Fernandes, Maria Oliveira, Gustavo Rebello, Luis Filipe Herdy. [S.l.] Portal Deviante, 03/09/2026. Podcast. Disponível em: https://www.deviante.com.br/podcasts/scicast-695 Imagem de capa: Организованная преступность: как расследовать отмывание денег. Глава 1 Referências e Indicações Sugestões de literatura: Galeotti, Mark. The Vory: Russia's Super Mafia (Yale University Press, 2018) – base para definição e estrutura da máfia russa, 90% da pauta. Handelman, Stephen. Comrade Criminal: Russia's New Mafiya (Yale University Press, 1995) – Relação com regime comunista. Volkov, Vadim. Violent Entrepreneurs: The Use of Force in the Making of Russian Capitalism (Cornell University Press, 2002) – Análise das raízes criminosas. Applebaum, Anne. Gulag: A History (Doubleday, 2003) – Contexto dos campos e subcultura criminal. Dostoiévski, Fiódor. Crime e Castigo. Tradução de Paulo Bezerra. São Paulo: Editora 34, 2001. (Original publicado em 1866) - Contexto de São Petersburgo e subcultura criminal. Varese, Federico. The Russian Mafia (Oxford University Press, 2001, atualizado 2020) – Controle econômico. Relatórios e Artigos Acadêmicos: CIA Report. (1989, desclassificado). "Soviet Underground Economy". (Citado para impactos econômicos na URSS). CIA Report. (1991). Relatórios desclassificados sobre máfia russa. (Citado para overview global). CIA World Factbook. (1997). Relatórios sobre máfia russa. (Citado para definição e estrutura). European Council on Foreign Relations (ECFR). (2017). "Russia's Hybrid Warfare and Criminal Networks". (Citado para influência na Europa e era Putin). ECFR. (2023). Relatórios sobre redes criminosas russas. (Citado para perspectivas futuras e guerra híbrida). New Lines Institute for Strategy and Policy. (2024). "The Kremlin's Use of Criminal Networks in Europe". (Citado para casos como Kuzminov e assassinatos). New Lines Institute. (2025). Evolução recente da máfia. (Citado para resumo geral e assassinatos). Jamestown Foundation. (2019). "The Soviet Roots of Russian Organized Crime". (Citado para raízes soviéticas). Jamestown Foundation. (2024). Resumo geral sobre máfia russa. (Citado para expansão global). FAS Intelligence Resource Program. (1997). Relatórios sobre Odessa Bratva. (Citado para origens em Odessa). FBI Reports. (2022). Ligações nos EUA e cibercrime russo. (Citado para infiltração nos EUA). Sites, Notícias e Artigos Online: The Guardian. (2018, 23 de março). "How organised crime took over Russia". Link: https://www.theguardian.com/news/2018/mar/23/how-organised-crime-took-over-russia-vory-super-mafia. (Citado para subcultura vory tsarista). DW (Deutsche Welle). (2023). "Russian Mafia in Europe". (Citado para influência na Europa). Eurasianet. (2024). Influência na América Latina e Oriente Médio. (Citado para alianças globais). Medium. (2021). "Russia as a Superpower of Crime". (Citado para curiosidades como Crimintern). The New York Times. (1997). Reportagem sobre venda de submarino. (Citado para curiosidade sobre submarino colombiano/ Operação Odessa). BBC History. (2020). Artigo sobre tatuagens da máfia russa. (Citado para simbolismo de tatuagens). Wilson Center. (Data não especificada). "Tales of Old Odessa: Crime and Civility in a City of Thieves". (Citado para história de Odessa). Eurasiatique. (2022, 4 de abril). "Revolution Under the Shadow of the State: Organized Crime in the Soviet Union". Link: https://eurasiatique.ca/2022/04/04/revolution-under-the-shadow-of-the-state-organized-crime-in-the-soviet-union. (Citado para revolução e crime). ICDS. (Data não especificada). "The History of Russia's Underworld". Link: https://icds.ee/en/the-history-of-russias-underworld. (Citado para origens em slums). Sugestões de filmes: John Wick 1, 2, 3 etc The Americans (2018) Soviet Jeans (2024) https://video.wbgu.org/show/soviet-jeans/ (acho que tem no Prime) Sugestões de vídeos: "Vory em St. Petersburg". Link: https://www.youtube.com/watch?v=6yhnCVtEF9U. (Citado para vory em São Petersburgo). Sugestões de links: Stanford University Background Guide. (Data não especificada). Sobre Vorovskoy Mir. Link: https://web.stanford.edu/group/sias/cgi-bin/smunc/wp-content/uploads/2014/10/Russia-BG-Final.pdf. (Citado para origens tsaristas). Berkeley Political Review. (2019, 16 de dezembro). Gangs and gulags: How Vladimir Putin utilizes organized crime to power his mafia state. Link: https://bpr.studentorg.berkeley.edu/2019/12/16/gangs-and-gulags-how-vladimir-putin-utilizes-organized-crime-to-power-his-mafia-state/. (Citado para relação Putin-máfia). USC Scalar. (Data não especificada). "A Brief History of Odessa". Link: https://scalar.usc.edu/works/odessa/a-brief-history-of-odessa. (Citado para origens em Odessa). Sugestões de games: Shadowrun Trilogy (Shadowrun Returns, Dragonfall e Hong Kong, 2013-2015): RPG cyberpunk onde os Vory v Zakone são um sindicato do crime principal, com hierarquia realista (Tsars, tatuagens como estrelas para rank, Red Vory pró-Estado vs. White Vory exilados). Baseado fielmente na história real (gulags soviéticos, código anti-Estado), eles contratam shadowrunners para missões violentas de contrabando e assassinato. Grand Theft Auto: San Andreas (2004): Missões contra russos em Los Santos, com vibes de Bratva dos anos 90 (extorsão, carros tunados). GTA IV expande com sindicatos russos em Liberty City. See omnystudio.com/listener for privacy information.
Medical examiners and coroners sit at a critical intersection of public health, health care, law enforcement, and vital statistics, generating data that can provide important insight into why people die. Dan Tauriello, senior analyst for public health data modernization and informatics at ASTHO, explains how modernizing data systems in medical examiner and coroner offices can improve efficiency, strengthen connections with public health, and create better access to timely information. Tauriello discusses the importance of interoperability and common standards, including FHIR, as well as the often-overlooked challenge of getting public health agencies, medical examiners, coroners, software vendors, and other partners speaking the same language. Even relatively small improvements in the time required to process an individual case can add up to hundreds of hours of work saved each year.Vital Insights: Medical Examiners and Coroners... : Journal of Public Health Management & PracticeData Modernization Primer and Tactical Guides | ASTHOLeading Change October 2026
SPC Nickel's Muskox project has the potential to host a deposit on the scale of world-class camps like Norilsk and Voisey's Bay, says CEO Grant Mourre. In an interview with Mining Stock Daily, Mourre said that the company is wrapping up its 2026 ground electromagnetic and magnetotelluric surveys across the 496 square kilometre property. Data from those surveys will be used to generate a ranked set of drill targets ahead of a 5,000 metre program planned for 2027, expected to produce roughly 10 to 15 holes. SPC Nickel also provided an update on its Lockerby East project in Ontario, where it is advancing the West Graham and LKE resources in partnership with Vale.
AlabamaGOP House members vote to pass resolution that condemns socialist ideology in all its formsBoth US senators call out Socialist Democrat in MI for recent post re: 9/11Governor Ivey praises Transportation Secretary for closing down CDL schools that have violated federal lawState lawmaker Rhett Deal says rules on FLOCK cameras will be front and center in next legislative sessionMayor of Brookwood confirms that a Data center project is under consideration2 Resource officers are credited for saving a chocking baby's lifeNationalUS Coast Guard safely lands plane with DHS secretary on board after one engine goes outFederal judge blocks latest EO from President Trump to reign in birth tourismDHS and DOJ now say that states must report their illegal aliens if utilizing two federal programs for helping needy familiesTyler Robinson of Utah will go to trial for allegedly killing Charlie Kirk last Sept.The Asst. AG for Missouri has been found alive in Wyoming after 5 days lost in wilderness
Blood Cancer Talks — Show NotesEpisode: Best of ASCO/EHA 2026 — Multiple Myeloma & AL AmyloidosisGuest: Dr. Prashant Kapoor, MD Professor of Medicine, Mayo Clinic, Rochester, MN Chair, Myeloma, Amyloidosis and Dysproteinemia Group, Mayo ClinicEpisode OverviewIn this episode, the hosts sit down with Dr. Prashant Kapoor to review the highest-impact multiple myeloma and AL amyloidosis data from the 2026 ASCO and EHA annual meetings. The discussion centers on the rapidly shifting relapsed/refractory myeloma landscape, where a wave of phase 3 trials of T-cell engaging immunotherapies (bispecific antibodies and CAR T) have now each demonstrated superiority over traditional triplet regimens. Topics Covered1. MajesTEC-3Phase 3, open-label trial of teclistamab + daratumumab SC (n=291) vs. investigator's choice of DPd or DVd (n=296) in 587 patients with relapsed/refractory myeloma and 1–3 prior lines; prior BCMA-directed therapy and anti-CD38-refractory disease were exclusions (only 5% CD38-exposed, none were refractory). Initially presented at ASH 2025, with cytogenetic subgroup data updated at EHA 2026.Key results (34.5-month median follow-up):Median PFS not reached with Tec-Dara vs. 18.1 months with DPd/DVd; 36-month PFS 83.4% vs. 29.7% (HR 0.17)36-month OS 83.3% vs. 65.0% (HR 0.46)Severe infection rate front-loaded: ~35% → ~17% between the first and second 6-month windows, plateauing at ~10–11%/window beyond 12 months; overall grade 3–4 infection 54%, 4.6% fatal infections (mostly without IVIG prophylaxis)EHA 2026 cytogenetic subgroup: 2-year PFS 90% (0 HRCA), 82% (1 HRCA), 76% (≥2 HRCA) — vs. only 14% with DPd/DVd in patients with ≥2 HRCADiscussion points: Applicability to patients at 1st/2nd relapse seen in clinic today; whether infection risk limits use of Tec-Dara at first relapse; implications of the high-risk cytogenetic subgroup data.2. MajesTEC-9Phase 3 trial of teclistamab monotherapy vs. investigator's choice of PVd or Kd in relapsed/refractory myeloma enrolling a heavily anti-CD38-refractory population (100% CD38-exposed, 85% refractory) — the population MajesTEC-3 excluded. Natural comparator: CARTITUDE-4 (phase 3, cilta-cel vs. DPd/PVd in Len-refractory myeloma, 1–3 prior lines, ~25% CD38-refractory/exposed).Key results (~18-month median follow-up):18-month PFS 70% vs. 27% (HR 0.29); 18-month OS 79% vs. 69% (HR 0.6), despite ~2/3 of control-arm patients receiving BsAb/CAR T as subsequent therapyDiscussion points: Cross-trial comparison with CARTITUDE-4 — comparable 18-month PFS on cross-trial comparison, but differing populations (CARTITUDE-4 required Len-refractory disease; MajesTEC-9 enrolled a more CD38-refractory population) and differing maturity (~3-year vs. ~1.5-year follow-up); how Dr. Kapoor chooses between teclistamab and cilta-cel at earlier-line relapse in Len- and CD38-refractory patients, given the divergent toxicity profiles — ongoing infection risk with continuous BsAb dosing vs. the one-time cilta-cel infusion with its rare but potentially irreversible delayed neurotoxicity, IEC-enterocolitis, and CTTLN risk.3. MonumenTAL-3Phase 3 trial — the first phase 3 study of a GPRC5D-targeted bispecific — randomizing 864 patients with relapsed/refractory myeloma (mostly Len-refractory, ~10% CD38-exposed but none refractory) 1:1:1 to Tal-Dara-Pom (n=287), Tal-Dara (n=287), or DPd (n=290), each Talq arm compared against the common DPd control. Presented by Peter Voorhees at EHA 2026 and simultaneously published in NEJM.Key results (24.6-month median follow-up):Both Talq arms significantly improved PFS over DPd: Tal-DP HR 0.28, Tal-D HR 0.33 (both P
This week's VentureFuel Visionary is Fatih Nayebi, Vice President of Data & AI at ALDO Group. He leads AI initiatives that transform retail operations and customer experiences. He's also a Faculty Lecturer at McGill University and the author of Foundations of Agentic AI for Retail, the first book on autonomous AI systems in retail. He demystifies agentic AI, federated learning, and the promise of A2A (agents to agents), while noting that these advances will still need humans in the loop.
In this episode of “Answers From the Lab,” host Bobbi Pritt, M.D., chair of the Division of Clinical Microbiology at Mayo Clinic, is joined by William Morice II, M.D., Ph.D., president and CEO of Mayo Clinic Laboratories, to discuss advancement in Alzheimer's testing and practical uses of artificial intelligence (AI) in healthcare. Later, Dr. Pritt welcomes Chris Garcia, M.D., Mayo Clinic Laboratories' chief digital innovation officer, to explore the evolving role of data in research and development. Innovative Alzheimer's test gets FDA clearance (00:33): Dr. Morice shares how a strategic collaboration is enabling Mayo Clinic Laboratories to offer a newly FDA-cleared blood test for Alzheimer's disease for adults with cognitive symptoms as young as 40.AI helping diagnose rare diseases (03:37): Dr. Pritt and Dr. Morice reflect on a recent article highlighting how AI is helping clinicians identify rare diseases.Data use in research and development (08:16): Dr. Garcia discusses how data, AI, and cross-disciplinary collaboration are advancing research and innovation in laboratory medicine. Note: Information in this post was accurate at the time of its posting.ResourcesC2N Diagnostics: FDA clears C2N Diagnostics' PrecivityAD2® —First Alzheimer's blood test for adults with cognitive symptoms as young as 40Wall Street Journal: AI is helping patients solve medical mysteriesAnswers From the Lab: Digital Advances: What's Next for Clinical Diagnostics?Answers From the Lab: Accelerating Research and Development With BioPharma Diagnostics
As AI adoption continues to accelerate, how can organisations maintain control of their data, infrastructure, and AI strategy? Sovereign AI is rapidly moving from planning and discussions to practical implementation, making it more important than ever for IT decision-makers to understand what it is and how it works. So, what does it take to deploy sovereign AI effectively while maintaining control, meeting compliance requirements, and protecting valuable data? This week, Technology Now is joined by Trish Damkroger, SVP & GM, HPC & AI, to find out: What sovereign AI looks like in 2026, and how it can be achievedThe five imperatives that organisations must consider when implementing sovereign AIWhy an effective AI strategy must come before decisions are made
This week on The PQI Podcast, we are joined by Manojkumar Bupathi, MD and Matthew Garmezy,MD genitourinary oncology experts and hosts of the Oncology Decoded podcast. Dr. Bupathi is President and Managing Partner of Rocky Mountain Cancer Centers and Executive Chair of the Genitourinary Research Program at Sarah Cannon Research Institute. Dr. Garmezy serves as Associate Director of the Genitourinary Oncology Research Program and Associate Director of the Drug Development Unit at Sarah Cannon Research Institute Oncology Partners. Together, they bring perspectives spanning community oncology, clinical research, drug development, and real-world cancer care. In this episode, we discuss recent updates in prostate cancer and, just as importantly, how oncology teams can take new data and translate it into decisions that make sense in everyday practice. We also talk about Oncology Decoded, their approach to breaking down new research and treatment advances, and why understanding how to actually use emerging evidence is just as important as knowing the latest data. Listen to Oncology Decoded: https://www.cancernetwork.com/podcasts/oncology-decoded
Pete Sacco has spent 30 years building the physical infrastructure — data centers, power systems, and hardware — that AI runs on. In this conversation, he argues the AI threat is overstated, not because it isn't transformative, but because it forces humans to reclaim what machines can't replicate: wisdom and discernment. Pete and Jeff dig into why founders need to embrace AI rather than fear it, the coming shift toward decentralized energy and compute, the misconceptions around data centers and water usage, how to separate real AI investment opportunities from hype, and his vision of a post-scarcity world where energy and labor approach zero cost.Key Takeaways2:19 — The one skill AI can't replicate: humans are "beings of discernment and wisdom," not calculators — that's the edge to protect.8:00 — Why the calculator analogy holds: AI won't erode critical thinking any more than calculators erased our ability to do math, if we use it consciously.12:48 — On creativity: Pete pushes back on the idea that AI kills creativity — "I'm 100 times more creative" because of the tool, not despite it.15:56 — AI as mirror: it will serve as "a mirror that's going to allow us to improve ourselves more fundamentally than ever before in human history."31:02 — The real bottleneck behind failed AI initiatives (per MIT): not the technology — organizational inefficiency.34:36 — On retooling teams: the four levels every employee needs — using chat, using skills, using agentic AI, and managing machines alongside people.36:05 — The post-scarcity vision: inside 50 years, the base cost of products and services could be "driven to zero" as energy and labor become virtually free.26:02 — Data center water myth debunked: total data center water use is a fraction (1/2000th) of what's used growing alfalfa for cattle feed in the U.S.30:19 — Pete's franchise model: Graywolf Data Centers — building small, tokenized, decentralized 2–20 megawatt data centers instead of massive centralized ones.43:55 — What most founders should be asking: are you embracing decentralization and retooling your people, or clinging to old, centralized ways of working?44:56 — The autonomous-vehicle prediction: "five, maybe eight years away from never driving cars again."Tweetable Quotes"We are beings of discernment and wisdom, embodied in consciousness itself." — Pete Sacco"AI will be the technology that serves as a mirror that's going to allow us to improve ourselves more fundamentally than ever before in human history." — Pete Sacco"We don't connect with data, we connect with people." — Pete Sacco"If you're a shitty data center owner, you're gonna be a shitty cloud owner too." — Pete Sacco"AI is going to out-compute you at almost everything... but what it can't do is know what's actually worth doing. That is called wisdom." — Jeff Mains"The doomers are 0 for 500 years. What makes us think that this is the year that they're right?" — Pete SaccoSaaS Leadership LessonsProtect discernment, not just headcount. As AI absorbs computation and pattern recognition, the scarce resource inside your company becomes judgment — hire and train for it.Diagnose failure correctly. Most "failed AI initiatives" aren't tech failures — they're organizational ones. Fix workflows and structure before blaming the tools.Retool your people in layers. Move teams through the four stages: basic chat use, skills, agentic workflows, and eventually managing hybrid human/machine teams.Decentralize before you're forced to. Whether it's compute, energy, or ownership, the founders who build flexible, distributed infrastructure now will out-adapt centralized competitors later.Invest (and lead) on conviction, not just data. Pete's biggest bets came from gut instinct paired with a disciplined thesis (AI infrastructure, decentralization, longevity) — not spreadsheets alone.Sell people on the outcome, not just the tool. Adoption stalls when leaders push AI as a mandate; it accelerates when they frame it as freedom — more time, more creative capacity, less drudgery.Guest Resourcespete@petesacco.comhttps://www.petesacco.com/https://www.facebook.com/profile.php?id=61573911350074https://www.linkedin.com/in/petertsacco/https://www.instagram.com/petesaccoofficial/https://x.com/PeteSaccoCEOEpisode SponsorThe Futureproof Series - https://www.youtube.com/playlist?list=PLfkXKUPZ5xuOqMPR7_gzGybncTtavyR1NThe Captain's KeysSmall Fish, Big Pond – https://smallfishbigpond.com/ Use the promo code ‘SaaSFuel'Champion Leadership Group – https://championleadership.com/https://jeffmains.com/books/SaaS Fuel ResourcesWebsite - https://championleadership.com/Jeff Mains on LinkedIn - https://www.linkedin.com/in/jeffkmains/Twitter - https://twitter.com/jeffkmainsFacebook - https://www.facebook.com/thesaasguy/Instagram - https://instagram.com/jeffkmains
In this episode of the Rox Lyfe podcast, we chat with Ben and Joey from Roxfit.Roxfit has grown from a simple HYROX workout timer into an app with more than 500,000 downloads, helping athletes track races, analyse performance, plan pacing and prepare for their next event.We discuss how Roxfit started, why the app has grown so quickly and what the huge amount of HYROX race data they collect can tell us about performance and help us race faster!Ben and Joey share some fascinating insights around pacing, including what happens when athletes start too fast, which stations correlate most closely with overall race time and why Roxzone performance matters more than many people realise.We also discuss what they have learned from working closely with elite athletes including Joanna Wietrzyk, Charlie Botterill, Sinead Bent and Josh van Zeeland, and the habits and mindset that separate some of the best athletes in the sport.Finally, we look at the next stage of Roxfit, including Roxfit Ultra, Athlete IQ, race-time predictions, personalised performance insights and new features that will allow you to compete against yourself, your friends and elite HYROX athletes during training.
To a lot of people, Palantir is a mystery — what does the company know, what data do they have, and (if they have it) what do they do with it all? We dig into that mystery and take you to a singles event to see if Big Data is good for Big Dating.That event, deep in the heart of Manhattan, is called: “Singles Dating Matching Using Palantir Data.” The evening promised: “Data analysis!” and “Pattern matching!” We decided that we needed to know more. Read: - Our book: Planet Money: A Guide to the Economic Forces That Shape Your Life - Our weekly longform Planet Money newsletter - Our weekly Indicator round-up newsletterFollow: - Instagram - TikTok - YouTube - FacebookSupport public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show's perks include bonus episodes and sponsor-free listening. Learn more at plus.npr.org.This episode was hosted by Amanda Aronczyk, produced by Sam Yellowhorse Kesler and edited by Jess Jiang. It was engineered by Cena Loffredo and Maggie Luthar and fact-checked by Sierra Juarez. Alex Goldmark is Planet Money's executive producer.Music: Universal Production Music - "Silvana's Theme," "Masseria Del Sud," Sunset in Florence," and "An Italian Romance"See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy
Data centers have become politically untenable, even in very Republican Texas. This episode was produced by Ariana Aspuru, edited by Miranda Kennedy, fact checked by Gabriel Dunatov, engineered by David Tatasciore and Bridger Dunagan, and hosted by Noel King. People gather at the Texas Capitol to protest data center expansion. Jay Janner/The Austin American-Statesman via Getty Images. Listen to Today, Explained ad-free by becoming a Vox Member: vox.com/members. New Vox members get $20 off their membership right now. Transcript at vox.com/today-explained-podcast. Learn more about your ad choices. Visit podcastchoices.com/adchoices
The Cover 3 crew is back for this special episode on CBS Sports Network. The guys go through some of their favorite Week 1 storylines, trends, and much more!-(00:00) Intro(00:53) Notable Week 1 Trends(10:38) CFP Scenario Debate(22:23) Boise State vs Oregon Preview(31:35) Outlook For Top Teams In Week 1(41:13) Favorite Thursday & Friday Games-Join this year's College Football Pick 'Em league! https://app.splashsports.com/contest/05480bf3-91d8-4e2a-b25d-1502bb7c9061/detail - The CBS Sports College Football Pick 'Em with the Cover 3 Crew Contest is open to Registered Users who are a legal resident of one of the 50 United States or the District of Columbia (except Louisiana, Nevada and Washington) and are at least eighteen (18) years old or the age of majority in their jurisdiction (whichever age is higher) at the time of entry. Void where prohibited by law. Data rates may apply. Contests ends December 6, 2026 at 11:59:59 p.m. ET. See Official Rules for details at https://legal.splashsports.com/promotion-terms/cover-3 --Cover 3 is available on Apple Podcasts, Spotify and wherever else you listen to podcasts. Visit the betting arena on CBSSports.com for all the latest in sportsbook reviews and sportsbook promos for betting on college football.Watch Cover 3 on YouTube: https://www.youtube.com/cover3Follow our hosts on Twitter: @Chip_Patterson, @TomFornelli, @DannyKanell, @BudElliott3For more college football coverage from CBS Sports, visit https://www.cbssports.com/college-football/To hear more from the CBS Sports Podcast Network, visit https://www.cbssports.com/podcasts/
Data centers have been a staple of Loudoun County since the early dot-com boom, but recent expansions have left some residents wondering how much more the county can take. In this episode, guest host David Imel talks to Lauren Feiner about her recent article detailing the buildout of “Data Center Alley,” what it means for residents, and what other counties reeling with similar buildouts can learn from it. Further reading: Is this the future of America? Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices
GENESIS RE-ENCHANTMENT - 09.01.2026 - #970 BestPodcastintheMetaverse.com Canary Cry News Talk #970 - 09.01.2026 - Recorded Live to 1s and 0s Deconstructing World Events from a Biblical Worldview Declaring Jesus as Lord amidst the Fifth Generation War! CageRattlerCoffee.com SD/TC email Ike for discount https://CanaryCry.Support Send address and shirt size updates to canarycrysupplydrop@gmail.com Join the Canary Cry Roundtable PRODUCERS BURNING MAN 3:40 Image: Line getting into Burning Man AI/MONEY 17:28 At Jackson Hole, global central bankers glimpse dystopian AI future (Reuters) TRUMP/SPACE/33 51:02 Fact check: Trump claims no autism cases among unvaccinated Amish children (Wa. Ex) 'Let Data Reign': Trump goes all in on controversial data centers (ABC) → Ocasio-Cortez: 'Put a data center up in Mar-a-Lago' (The Hill) Clip: Nuclear powered space craft interplanetary 2028 (Fox) → ISEC Unveils Graphene Breakthrough for 66,000-Mile Space Elevator (Time.News) BEING WATCHED 1:22:15 Flock camera vandals strike nationwide (NBC) Burlison, we have to end flock or surveillance will increase with drones (X) DRONES/GEOENGINEERING 1:36:02 Drones modified weather, dropping millions of gallons of precipitation (USA Today) RE-ENCHANTMENT 1:38:57 Game of Thrones star says she tried witchcraft to land film role (Indy Co UK) BIBLICAL 1:42:25 Genesis Under the Re-Enchantment: Genesis presents neither a materialistic universe nor a pagan/polytheistic universe. It presents a supernatural cosmos created and ruled by Yahweh, with humanity appointed as His earthly imagers. The problem begins when humans and supernatural beings reject their assigned place and seek life, knowledge, authority, or worship outside God's order. PRODUCERS 2:25:07 END 2:30:56
Sarah shares an episode from a podcast (and therapist) she'd like to introduce you to: Therapists Unchained with Sivie Suckerman In this episode of Therapists Unchained, Sivie interviews Sharon Harper, a licensed clinical social worker and founder of the Therapist Resource Institute (TRI). The conversation explores the necessity of reclaiming professional autonomy and building sustainable careers through authentic human connection and systemic advocacy, while also delving into the Therapist Resource Institute as a national platform designed to unify mental health professionals across all licenses and career stages. Harper explains that she created the organization to combat the fragmentation of the field and the growing influence of venture-backed tech platforms that often exploit clinician labor and client data. TRI is a supportive professional community that offers practical tools, such as referral networks and business vetting, while aiming to provide a collective political voice through future lobbying efforts. Thank you to Sivie and Sharon for sharing this conversation from Therapists Unchained with us. Join The Therapist Network and receive 20% off your subscription tier when you enter the code SARAHROCKS. Join the waitlist for the next Authentic Leaders Group! This is a journey of self-discovery and leadership mastery, where you'll not only enhance your leadership skills but also forge meaningful connections with fellow therapists who are committed to their own growth and the betterment of the therapy field. Apply now! Thank you to The Therapist Network for sponsoring the show! The Therapist Network is a global community built by and for therapists. You'll find live consult groups, an ever-growing library of workshops and courses, plus a community that really sees you. Sarah's group, Tending to the Wounded Healer, meets every other Monday from 1–2pm CT, and it's a space to explore the intersection of your lived experience and your clinical work. So if you want to feel more supported and less alone, visit TheTherapist.Network—or join Sarah's group directly at tinyurl.com/HealerConsultTTN. UPCOMING EVENTS Check the calendar for opportunities to connect with Sarah and earn CEs. SUPPORT THE SHOW Sarah's Downloadables Join our Patreon for gifts & perks Shop our Bookshop.org store and support local booksellers Share a rating & review on Apple Podcasts *** Let's be friends! You can find me in the following places… Website Facebook @headheartbiztherapy Instagram @headheartbiztherapy
SpaceTime with Stuart Gary | Astronomy, Space & Science News
SpaceTime Series 29 Episode 105 More evidence Mars once had liquid water More than 20 years after NASA's Mars Spirit rover landed on the red planet scientists have uncovered new evidence that suggests liquid water – essential for life as we know it -- may once have covered large parts of the Martian surface. Are mysterious little red dots hiding something big A new study claims mysterious Little Red Dots seen near the dawn of the universe are likely to reside in small, dense compact star forming galaxies. Chang'e-7 lunar mission delayed Beijing has scrubbed for now its Chang'e-7 mission to the Moon sighting a failure to meet strict launch conditions. The Science Report A promising new way to tackle one of the most aggressive forms of breast cancer. Proof that alumni relationships between judges and lawyers are affecting court rulings. Looking for inexpensive and safer alternatives to dangerous lithium-ion batteries. The new app helping blind or visually impaired people navigate outdoors. Alex on Tech: Meta gets a slap on the wrist.Become a supporter of this podcast: https://www.spreaker.com/podcast/spacetime-with-stuart-gary--2458531/support.
For community health centers with limited staff, a request for thousands of medical records can quickly become an overwhelming administrative burden. In this episode, Joe Van de Graaff, VP of Growth at Sherpas Healthcare Solutions, explains how Sherpas helps healthcare providers and payers securely find and release medical records while reducing the operational burden of audits, compliance reviews, and data requests. He discusses why FQHCs are particularly well-suited to Sherpas' mission and business model, how automation and EHR interoperability can streamline record retrieval, and why AI could play an increasingly important role in transforming manual healthcare workflows. Joe also shares what he is seeing across the community health landscape as organizations balance limited resources with growing administrative demands. Tune in to learn how smarter medical record workflows can help community health centers spend less time carrying the administrative load and more time serving their patients! Resources: Connect with and follow Joe Van de Graaff on LinkedIn. Follow Sherpas Healthcare Solutions on LinkedIn and explore their website.
In this special episode of The Data & AI Chief, host Cindi Howson sits down with three incredible authors to explore what it really takes to lead through the AI era, from scaling innovation to building AI-ready data foundations to designing systems that keep humans at the center. Get ready for a deep dive into: Scaling innovation and leading through uncertainty with Linda Hill, Harvard Business School Professor and author of Genius at Scale: How Great Leaders Drive Innovation Building AI-ready data foundations with Sanjeev Mohan, Principal at SanjMo and author of Designing the AI-Driven Data Foundations Designing accountable, human-centered AI with Harveer Singh, Co-Founder and CIO of Rizz Wireless and author of When Data Moves Consider this your fall reading list for leading through the next phase of AI. Key Moments: Why Scaling Innovation Requires a Culture Shift (01:03): Linda Hill, author of Genius at Scale, unpacks her ABC model of architects, bridgers, and catalysts in scaling AI innovation. The Timeless Fundamentals Behind AI-Ready Data (32:40): Sanjeev Mohan, author of Designing the AI-Driven Data Foundations, explains why data fundamentals haven't changed even as the tools have. Why Every Data Pipeline Decision Has a Human Consequence (58:38): Harveer Singh, author of When Data Moves, shares personal stories showing the human stakes behind every data decision. Key Quotes: “Innovation is almost always the result of collaboration, experimentation, learning of people who are different, who have different perspectives, different expertise.” - Linda Hill “I strongly believe that to achieve the promises of AI, we should really focus on the foundational pieces, because those things never go away.” - Sanjeev Mohan “The more and more we are embedding these AI agents into our technology, we need to make sure that there is an accountability factor, there is a responsibility factor that is put into it before these decisions are made.” - Harveer Singh Mentions: Genius at Scale: How Great Leaders Drive Innovation Designing the AI-Driven Data Foundations When Data Moves The AI Fairness Test Nobody Runs Guest Bios: Linda Hill Linda A. Hill is the Wallace Brett Donham Professor of Business Administration at Harvard Business School and Faculty Chair of the Leadership Initiative. She is widely recognized as one of the world's foremost experts on leadership and innovation. Hill is the coauthor of Genius at Scale: How Great Leaders Drive Innovation (March 2026), which introduces three essential roles for leading innovation across organizations and ecosystems: architect, bridger, and catalyst. The book was shortlisted for the 2025 Thinkers50 Innovation Award. She is also the coauthor of the award-winning books Collective Genius and Being the Boss. Her TED talk on leading collective creativity has garnered more than three million views. Sanjeev Mohan Sanjeev Mohan is a recognized thought leader in cloud technologies, modern data architectures, analytics, and artificial intelligence. With a keen focus on emerging trends and technologies, Sanjeev hosts It Depends podcast and authors regular Medium blogs. He is also the author of Data Product for Dummies. Formerly a Vice President at Gartner, Sanjeev was renowned for his in-depth research and strategic insights, shaping the research agenda for data and analytics globally. Over the past three years, he has led SanjMo, a consultancy specializing in technical advisory services that elevate category and brand awareness for clients. Sanjeev is the author of Designing the AI-Driven Data Foundations, a practical guide to building modern data foundations for the AI era. Harveer Singh Harveer Singh is a globally recognized data, AI, and fintech leader who bridges enterprise-scale leadership with entrepreneurial execution. Across 25+ years, he has transformed financial institutions spanning banking, payments, telecom, and Web3. A recognized industry leader, Harveer's work has earned DataIQ Top 10 CDOs, American Banker Innovation of the Year, and American Asian Outstanding 50 honors. In 2025, Harveer co-founded Rizz Wireless, an AI-native wireless company, where he serves as Co-Founder, CIO, and Board Member. He is also co-creator of RZTO, the company's Solana-based rewards token, which reimagines how loyalty and telecom rewards work and is listed on Gate.io. Harveer is the author of When Data Moves, which challenges the tech industry to remember that data systems serve humans, not machines. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
From time to time, we'll re-air a previous episode of the show that our newer audience may have missed. In this episode, founder Phoebe Tan shares how her background at Amazon and Singapore Airlines led her to build Taelor, a “Netflix for outfits” circular fashion platform focused on busy professional men. She explains Taelor's two-sided model, where subscribers rent curated outfits and partner brands monetize inventory and gain rich feedback to improve product design. The discussion dives into how circular systems transform traditional supply chains, the AI and data challenges of working with 100+ brands and non-standard sizing, and how reverse logistics and operations are built for scale from day one. Phoebe also highlights the power of unbiased customer feedback, why access-over-ownership and personalization will accelerate circular fashion over the next 5–10 years, and how sharing models can extend far beyond apparel into other categories of underutilized goods. Highlights from their conversation include: The Origin Story Behind Taelor and Phoebe's Background (0:29) How Taelor Works as “Netflix For Outfits” for Busy Men (3:21) Rethinking Inventory as Recurring Revenue in Circular Fashion (5:43) Using AI and Data to Solve Sizing and Styling Complexity (8:39) Building Scalable Reverse Logistics and Operations From Day One (11:15) Lessons From Amazon and Singapore Airlines Applied to Taelor (13:32) What Rental and Resale Data Reveal About Consumer Behavior (15:54) Why Access Over Ownership and Personalization Will Dominate (18:07) The Future of Circular Fashion and Taelor's Role in The Ecosystem (20:32) Resource Sharing Beyond Apparel and Rapid-Fire Founder Questions (23:29) Final Thoughts and Takeaways (25:02) Dynamo Ventures is a venture firm backing founders upgrading the physical economy. As intelligence moves into critical infrastructure and technology collides with physics, industry is entering a new era of transformation - the industrial renaissance. Born from the dirt and grit of supply chains and shaped by operations, not spreadsheets, Dynamo focuses on the complex realities of building in the real world. We invest in companies transforming infrastructure, manufacturing, logistics, transportation, and the systems that power global commerce. Dynamo works closely with founders who combine ambition with a bias to action, bringing a builder mindset to venture capital through deep operational insight, systematic pressure-testing and hands-on partnership. Our purpose is simple: to back the relentless shaping the industrial renaissance. Learn more at www.dynamo.vc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
We look at the data behind the reviews at the NCAA Division I Championships.
Clare Bonham (Chief Product Officer) and Sébastien Baehni (CTO) from beqom joined us on The Modern People Leader. We talked about how managers can make better pay and performance decisions, why AI should support but not replace human judgment, and what intentional AI looks like in compensation.---- Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode326 Sponsor Links:
Healthcare needs precision and personalization to keep up with the new wave of empowered patients. In this episode we sit down with Joshua Resnikoff, founder and CEO of Sunstone Health, to explore how clinical intelligence and data-driven insights are transforming pediatric care for rare genetic and neurological conditions. Drawing from his personal journey as a biomedical engineer and parent, Joshua discusses precision medicine as an employee benefit, patient empowerment in the age of AI, and the future of health data ownership. This episode is ideal for healthcare executives, employee benefit leaders, digital health innovators, and clinical transformation professionals looking for practical insights on leveraging technology to improve care delivery and cost efficiency. Chapter Timestamps: 0:00 Preview Clip & Introduction 01:07 Introduction & Joshua's Story 02:24 The Diagnostic Odyssey & Founding Sunstone Health 06:02 Precision Medicine as an Employee Benefit 11:10 Aligning Incentives Across Employers & Families 12:48 Scalability & Cost Drivers in Precision Care 16:06 Leveraging AI & Compute in Clinical Intelligence 18:44 Shifts in Care Delivery & Economics 20:54 Patient Data Ownership & Empowering Consumers 24:21 Direct Primary Care & AI as a Physician Coaching Tool 27:29 Overcoming Insurance Obstacles for Genetic Testing 28:41 Expanding Telemedicine Networks & Closing Remarks Connect with Joshua on LinkedIn at https://linkedin.com/in/joshuaresnikoff Find Joshua's work at https://www.sunstonehealth.com Subscribe and stay at the forefront of the digital healthcare revolution. Find out why we're the fastest growing digital health channel on YouTube! The Digital Healthcare Experience is a hub to connect healthcare leaders and tech enthusiasts. Powered by Taylor Healthcare, this podcast is your gateway to the latest trends and breakthroughs in digital health. Learn more about The Digital Healthcare Experience here. Taylor Healthcare empowers healthcare organizations to thrive in the digital world. Our technology streamlines critical workflows such as procedural & surgical informed consent with patented mobile signature capture, ransomware downtime mitigation, patient engagement and more. For more information about Taylor Healthcare, please visit imedhealth.com The Digital Healthcare Experience Podcast: Powered by Taylor Healthcare Produced by Naomi Schwimmer Hosted by Chris Civitarese Edited by Eli Banks Music by Nicholas Bach
Tired of outdated freight pricing strategies that eat into your margins and looking for ways to leverage automation and AI to scale profitably? Ken Adamo of EASE Logistics is back on the show to share what it takes to grow a brokerage profitably in today's market! He covers the absolute necessity of accurate spot pricing and why you must know what it costs to buy a truck before you even think about quoting your customers. Ken drops some knowledge on ditching archaic spreadsheets, building proprietary tech stacks, and utilizing practical AI automation to streamline inbound emails, spot quoting, and carrier relationships. If you are looking to insulate your operations from market volatility, maintain consistent by-rates for your carrier partners, and grow your revenue without unnecessarily inflating your head count, tune in now! Connect with Ken Website: https://easelogistics.com/ X: https://x.com/thefreightnerd?lang=en
It's heist part 2 time, baby! Leaving behind the accidental death of one Mr. Grant Holiday, Team Meatbag dives into the second prong of their multi-heist attack on Cho's various entities and concerns. This time we're going Ocean's 11 style and leaving the guns at home. Well, probably. Cast ListStardaddy: StanGrace/Hopper: GeoffCommodore Macdonald (Mackie) --burn: ColinDr. Hildegarde Hypatia Cade (Hilde)/ C. B. : KristenAugustus Novus (Auggie): ChrisSend us a message through this weird thing that didn't exist before but exists now.Support the show
What happens when you stop thinking about trees and agriculture as separate systems? In this episode, sixth-generation Australian farmer and engineer Michael Taylor explains what decades of planting trees have taught his family about farming, resilience and innovation. On their New England Tablelands farm, “Taylor's Run,” the Taylors began planting trees for a practical reason: shelter. But over generations, those trees have become part of a much bigger story about agroforestry, biodiversity, natural capital, and the complex interactions at work across a farming system. Michael discusses why farming, despite his engineering background, is one of the most complex systems to manage. He shares the lessons that have emerged over decades of tree planting, as well as the mistakes. And the unexpected benefits those experiences have revealed.The conversation also explores what happens when we try to put numbers around nature. Michael discusses how natural capital accounting and data can help demonstrate, in tangible figures, some of the things farmers already see and observe in their landscapes. Sarah and Michael also discuss: How trees can influence wind, moisture, ground cover and livestock protection Why some innovations only reveal their true value over decades How agroforestry can create value beyond timber What natural capital accounting can tell us about farm systems The limits of trying to simplify complex natural systems Useful Links: Valuing natural capital on Australian farms — Tenacious Ventures Shifting from climate measurement to risk mitigation — Tenacious Ventures Mark Wootton on carbon-neutral farming at Jigsaw Farms — Tenacious Ventures Natural Capital - Forico CSIRO Natural Capital Handbook Bambra Agroforestry Farm — practical Australian agroforestry resources Responsible Wool Standard (RWS) - Textile Exchange Australian Farmer of the Year Michael Taylor shows how farming diversity can lead to sustainability - ABC News For more information and resources, visit our website. The information in this post is not investment advice or a recommendation to invest. It is general information only and does not take into account your investment objectives, financial situation or needs. Before making an investment decision you should seek financial advice from a professional financial adviser. Whilst we believe the information is correct, we provide no warranty of accuracy, reliability or completeness. [00:2:00] Farming is a complex system [00:20:00] Innovation reveals its value over time [00:24:00] Data can make farmer knowledge visible
If you've ever wondered why the same flight, hotel room, or grocery item seems to cost a different amount depending on who's buying it, you're not imagining things. Companies are using the data we expose online, including our location, our browsing habits, even assumptions about our income, to decide what prices to charge us. It's called surveillance pricing, and it's becoming more common across the retail world – from airlines to grocery chains right here in the Bay Area.KALW's personal finance reporter Francesca Fenzi found out just how personal, and hard to escape, this practice really is.
Attendance, Metrics, and Health: Measuring Discipleship in Small Group MinistryPastor Steve Gladen and host Derek open the fall season of SG Squared by discussing how small group leaders should think about attendance, metrics, and health without letting numbers define their identity. Steve argues that numbers are not bad but are indicators connected to souls and stories, and that quality and quantity are not enemies. He cautions that attendance alone can be a false positive and emphasizes measuring discipleship through individual and group health assessments. Drawing from Saddleback's approach, he describes an individual health assessment (35 questions) and a shorter group assessment (10 questions) built around worship, fellowship, discipleship, serving, and evangelism, with follow-through steps involving goals, partners, curriculum, and activities. He notes that early assessments showed over 85% self-identified weakness in evangelism and points listeners to his books and Small Group Network resources.00:00 Welcome to SG Squared00:26 Fall Football Banter01:58 Culture Shock in Mississippi03:30 Episode Setup Souls and Identity07:52 Why Numbers Matter10:29 Data as Ministry Indicator11:59 Measuring Discipleship Success15:43 Attendance Versus Health17:53 Building Health Assessments25:01 Books Membership and Wrap Up ★ Support this podcast ★
Saif Al-Jabbar Khan shares his journey from a DevOps engineer to a successful paid search marketer, highlighting key lessons from his experiences with client management, conversion tracking, and AI integration in digital marketing. Key topicsSaif's career transition from DevOps to marketingImportance of defining qualified leads earlyCommon mistakes in conversion trackingUsing AI for nuanced account analysisThe role of WhatsApp in Middle Eastern marketingStrategies for managing client expectationsThe impact of landing pages on campaign successLessons learned from account auditsChapters00:00 Introduction and Guest Background03:58 The Importance of Qualified Lead Definition11:52 Improving Lead Qualification Rates15:49 The Role of Landing Pages and Client Communication20:04 Adapting Strategies Based on Data Insights22:09 The Impact of Data and System Changes24:00 Advice for Paid Search Marketers Facing Crises26:00 Reviewing and Refining Lead Criteria30:03 Common Mistakes in Account Management33:56 Using AI for Nuanced Account Analysis36:02 WhatsApp as a Key Channel in Dubai38:08 AI and Privacy Considerations42:09 The Role of Journey Aware Bidding43:47 Final Tips for Paid Search Success45:02 Fun Question: PPC Movie Title45:57 Upcoming Events and Networking OpportunitiesFind Saif on LinkedIn Join us on SlackSubscribe to our Newsletter
#cuttheclutter The Ministry of Statistics and Programme Implementation (MoSPI) released the GDP data this week, which said that India's economy grew 7.8 percent in the first quarter of FY 2026-27. The growth numbers has sparked a big fight, with critics and opposition claiming that the estimates are inflated. In this special edition of #CutTheClutter, Chief Economic Adviser Dr V. Anantha Nageswaran joins Shekhar Gupta and debunks the ‘fudged data' claim. CEA also explains the new way of calculation, and reiterates that numbers are not being used in any way to inflate the growth estimates. He also says that the growth numbers for first quarter reflect the true underlying vigour of Indian economic activity. --------------------------------------------------------------------------------------------- To Read Bidisha Bhattacharya report: https://theprint.in/economy/why-is-modi-telling-us-to-save-when-economys-robust-gdp-growth-story-hides-cautious-household-subplot/3032106/ --------------------------------------------------------------------------------------------- To Read Duvvuri Subbarao article: https://www.imf.org/en/publications/fandd/issues/2026/09/can-india-sustain-its-rise-duvvuri-subbarao --------------------------------------------------------------------------------------------- To Read Business Standard article: https://www.business-standard.com/opinion/editorial/beating-the-odds-126083101459_1.html --------------------------------------------------------------------------------------------- #asusexpertbook @ASUSIndia.official Checkout the ASUS Expertbook series: https://www.flipkart.com/asus-expertbook-core-ultra-store
After yesterday's tech sell-off sparked by rising oil and yields after fresh U.S. strikes on Iran, investors digest results from Dell and Palo Alto Networks and await Broadcom. Important Disclosures This material is intended for general informational and educational purposes only. This should not be considered an individualized recommendation or personalized investment advice. The securities, investment products and investment strategies mentioned are not suitable for everyone. Each investor needs to review an investment strategy for their own particular situation before making any investment or trading decisions. All expressions of opinion are subject to change without notice in reaction to shifting market conditions. Data contained herein from third party providers is obtained from what are considered reliable sources. However, its accuracy, completeness or reliability cannot be guaranteed. For illustrative purposes only. Individual situations will vary. Not intended to be reflective of results you can expect to achieve. Investing involves risk, including, for some products, more than your initial investment. Past performance is no guarantee of future results. Supporting documentation for any claims or statistical information is available upon request. Diversification and rebalancing strategies do not ensure a profit and do not protect against losses in declining markets. Indexes are unmanaged, do not incur management fees, costs, and expenses and cannot be invested in directly. For more information on indexes, please see schwab.com/indexdefinitions. The policy analysis provided by the Charles Schwab & Co., Inc., does not constitute and should not be interpreted as an endorsement of any political party. Fixed income securities are subject to increased loss of principal during periods of rising interest rates. Fixed-income investments are subject to various other risks including changes in credit quality, market valuations, liquidity, prepayments, early redemption, corporate events, tax ramifications, and other factors. Digital currencies [such as bitcoin] are highly volatile and not backed by any central bank or government. Digital currencies lack many of the regulations and consumer protections that legal-tender currencies and regulated securities have. Due to the high level of risk, investors should view digital currencies as a purely speculative instrument. Cryptocurrency-related products carry a substantial level of risk and are not suitable for all investors. Investments in cryptocurrencies are relatively new, highly speculative, and may be subject to extreme price volatility, illiquidity, and increased risk of loss, including your entire investment in the fund. Spot markets on which cryptocurrencies trade are relatively new and largely unregulated, and therefore, may be more exposed to fraud and security breaches than established, regulated exchanges for other financial assets or instruments. Some cryptocurrency-related products use futures contracts to attempt to duplicate the performance of an investment in cryptocurrency, which may result in unpredictable pricing, higher transaction costs, and performance that fails to track the price of the reference cryptocurrency as intended. Please read more about risks of trading cryptocurrency futures here. Schwab does not recommend the use of technical analysis as a sole means of investment research. The Schwab Center for Financial Research is a division of Charles Schwab & Co., Inc. Apple Podcasts and the Apple logo are trademarks of Apple Inc., registered in the U.S. and other countries. Google Podcasts and the Google Podcasts logo are trademarks of Google LLC. Spotify and the Spotify logo are registered trademarks of Spotify AB. (0130-0926) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
William Blair global services analyst Andrew Nicholas examines whether artificial intelligence threatens information services companies or could ultimately make their data assets even more valuable. He discusses the growing demand for trusted, decision-grade data, the rise of AI agents and model context protocols, and why improving fundamentals may create opportunity despite lingering investor skepticism.
Today in the business of podcasting:IAB Australia's Future of Measurement review finds the biggest constraint on advertising is fragmented data, not a shortage of measurement methods, and it calls for a shared campaign-data taxonomy modeled on IAB US's Campaign Data Standards 1.0.YouTube and Variety are launching the inaugural Variety x YouTube Creator Festival at the Toronto International Film Festival on September 10, premiering a Mark Vins documentary and two episodes of Ziwe's You'd Be an Iconic Guest before both become YouTube exclusives.Netflix is doubling down on podcasts, ordering new shows from Katt Williams, Harlan Coben, and Stephanie Soo, renewing its entire slate of originals, and adding acquired Spotify video podcasts including The Bill Simmons Podcast and The Rewatchables.To find links to these, and every article covered in today's episode, click here. You can also subscribe to The Download's newsletter to receive the full issue straight to your email inbox every day.
16 years ago, I started coaching with an email, a PDF, and a lot of guesswork. Today, my athletes' workouts sync automatically and we're commenting back and forth before I even finish my coffee.This episode came from a conversation with my friend who asked me what's actually changed the most since I started coaching. I break it down into three things. Communication. Data. Community. Then, I'll tell you where I think each one is headed.We talk about:Why real-time commenting changed coaching more than any single piece of gear ever didThe power meter I bought in 2008 and how data went from "nobody has this" to non-negotiableWhy I won't coach an athlete without power anymore, and where useful data turns into noiseMy honest take on Strava and community apps, and why I stepped back from checking in dailyWhy I tell brand-new coaches NOT to start with AI coaching appsWhere I think AI sharpens a coach's brain instead of replacing the coachNo fluff. Just 16 years of pattern recognition and an honest look forward.Am I too old-school on any of this? DM me @CoachMichelleLake.If you're ready to build a coaching business that doesn't run through 70 different apps, that's what we work on inside Dream to 6. Book a call with me here to see if it's the right fit for you: https://app.acuityscheduling.com/schedule/afee674e/appointment/31380211/calendar/5950491?appointmentTypeIds[]=31380211Let me know what you think! If you enjoy the podcast, I'd be so grateful if you left a star rating or written review on your podcast platform of choice. Thanks for listening!Follow me on IG @CoachMichelleLake | Join the list
Most drug discovery genomic data comes from a thin slice of the world, and that bias follows every decision downstream. Your team can run a Mendelian randomization study on 35,000 patients and still walk away with a single signal that doesn't even apply to the population you care about. If your phenotype definitions are fuzzy, more data won't save you. Erika Kvikstad is a computational biologist who led precision medicine for cardiovascular disease at Bristol-Myers Squibb, working on therapies including Camzyos for hypertrophic cardiomyopathy. She now works independently on genomic data equity, focused on how reference populations shape everything from target discovery to clinical trial recruitment. You'll get a practical look at how to evaluate real-world data vendors, why heart failure is nearly impossible to define cleanly from billing codes, and where statistical power breaks down even with tens of thousands of patients. Erika also explains how her team used AI to reconstruct missing imaging data and validate cardiomyopathy diagnoses at scale. This episode covers GWAS studies, Mendelian randomization, UK Biobank, proteome-wide analysis, and the practical gap between biobank-scale data and disease-specific cohorts. It's built for data and analytics leaders working in life sciences who need to understand where genomic bias enters their pipeline, not just that it exists. Clarification Around 57:58–58:24, in discussing the proteome-wide Mendelian randomization study, Erika moved quickly between two related findings. BTN3A2 was identified as a candidate associated with ischemic stroke and potential immune-modulatory biology. Separately, single-cell expression data helped contextualize other candidate signals, including some with enriched expression in cardiomyocyte populations. Cardiomyocyte-enriched expression was not a specific finding for BTN3A2. Chapter Markers 00:00 Whose genome are we designing drugs for 01:34 Erika's path from academic genomics to BMS 03:48 Building the precision medicine strategy at BMS 06:37 Ross shares his own HCM diagnosis 07:09 Why heart failure resists clean definition 11:11 How medication use reclassifies patients 14:35 Imaging as a biomarker, and its data gaps 20:23 Data infrastructure gaps across regions 22:44 What to look for when evaluating a data vendor 27:35 Consortia and biobanked specimens for rare mutations 29:52 Cardiovascular data infrastructure versus oncology 32:29 Where statistical power breaks down 37:07 UK Biobank's strengths and its limits 40:01 Bridging broad biobanks with disease-specific cohorts 44:32 How reference population bias propagates downstream 48:53 Where genomic bias hits hardest in the pipeline 53:18 Inside a proteome-wide Mendelian randomization study 59:42 Choosing the right computational tool for the question 1:06:38 Building globally representative genomic infrastructure 1:08:04 Ross's takeaways on bias and statistical power Useful Links & Resources - Erika on LinkedIn: https://www.linkedin.com/in/erikakvikstad - UK Biobank: https://www.ukbiobank.ac.uk - Alliance for Genomic Discovery: https://alliancegenomicdiscovery.org - SHaRe Registry (DCM Foundation): https://dcmfoundation.org Connect With the Show - Ross Katz on LinkedIn: https://www.linkedin.com/in/b-ross-katz/ - (Ross Katz on X: https://x.com/brosskatz - CorrDyn LinkedIn: https://www.linkedin.com/company/corrdyn/ Have you run into genomic reference bias in your own work? Tell us what it looked like and how your team caught it. Visit corrdyn.com to learn how CorrDyn can help your organization extract value from data. Subscribe to Data in Biotech so you don't miss the next conversation.
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In episode 203 of Cybersecurity Where You Are, Sean Atkinson speaks with Pavlina Pavlova, Founder of Critical Cyber. Together, they discuss how Pavlina started Critical Cyber to go beyond the data and give voice to the human impact of cyber attacks, from ransomware hitting hospitals to cyber tactics targeting civilians in active conflict zones.Here are some highlights from our episode:00:44. How Pavlina's work covering the impact of cyber attacks on Ukrainian critical infrastructure led to Critical Cyber03:13. How Critical Cyber works with cyber attack victims, responders, and other audiences04:08. Countering the tendency, even among cybersecurity experts, to sanitize cyber attacks' human impact08:57. The use of storytelling with those impacted by cyber attacks to drive policy changes15:02. Why cyber attacks in some sectors are underreported19:01. Critical Cyber's mission of combining testimony, research, and expert collaboration24:51. Where Critical Cyber is and where it's looking to goResourcesCritical CyberCybersecurity for Critical InfrastructureEpisode 202: Delineating AI Security and CybersecurityRecent Water Utility Attacks Offer a Blueprint for ResilienceIf you have some feedback or an idea for an upcoming episode of Cybersecurity Where You Are, let us know by emailing podcast@cisecurity.org.
Our guest on this episode of The Member Engagement Show is Cate Sauer, Senior Customer Success Manager at Higher Logic. Cate has recently presented several courses on ethical AI use, and talks about her work helping associations use technology in a way that aligns with their values and mission. She shares ways associations can benefit from using AI without surrendering the human judgment and accountability. Topics covered include: The most frequently heard concerns and questions from associations around AI. Data and privacy considerations when deciding what AI platforms to use for what tasks. The responsibility associations have to educate staff, set policies around AI usage, and be transparent with members. Reducing AI energy impact by treating it "like going to the grocery store." Three pillars for using AI ethically: accountability, protection, and fairness. Guidance on putting together AI policies. Providing a pathway back to a person. Some Helpful Links AI & Copyright episode featuring Dorothy Dang from Whiteford Law AI & Value episode featuring Elizabeth Engel Webinar on Embracing AI Safely with Amada DeLuke
Part 3 of the SmarTrak series looks at why useful AI begins with accurate, organized and connected customer data. AI can only be as useful as the data behind it. In Part 3 of our continuing Technology Reseller News podcast series with SmarTrak, Jay Pearce and I focus on one of the most important – and often overlooked – steps in getting ready for artificial intelligence: cleaning up the data first. For Cisco partners, critical customer information can be spread across contracts, subscriptions, renewals, installed assets, adoption records and other systems. When that information is fragmented, incomplete or inconsistent, even sophisticated AI tools may have difficulty producing useful recommendations. The conversation looks at why AI readiness is really a data-readiness issue. Before partners can rely on AI for forecasting, automation or identifying opportunities, they need a reliable foundation that gives the technology a clear picture of the customer relationship. That means bringing information together, improving accuracy and making sure the data reflects what customers own, what is approaching renewal and where activity is taking place across the lifecycle. Clean, connected data can also give partners better visibility before AI is added. It can make it easier to spot gaps, prepare for renewal conversations and understand where additional services or customer engagement may be needed. The larger point of the episode is simple: do not begin an AI strategy by asking what AI can do. Begin by asking whether the underlying data is good enough for AI to work with. As Cisco partners look for practical ways to use AI across customer success, renewals and lifecycle management, getting the data foundation right may be the most important first step. This is Part 3 of the SmarTrak series on helping Cisco partners strengthen lifecycle visibility, improve renewal readiness and uncover new opportunities across the customer relationship. Podcast: Clean Data Before Artificial Intelligence Series: SmarTrak for Cisco Partners
Tom Hauser is a Chief Political Reporter for KSTP-TV. He joins to talk about the latest on the national political stage. They chat about new voting systems, the race for Secretary of State, Governor Tim Walz's decreased visibility and what we'll say about his legacy 20 years from now. In their second segment Chad and Tom chat about hikes that almost ended badly, Lisa Demuth's campaign strategy and KSTP's polling data.
How good is Mykhailo Mudryk really — and what are Tottenham actually getting? Professional analyst Enya has run his data profile, and it doesn't say what the jokes say. Jim and Enya close out the window: the De Zerbi–Mudryk history at Shakhtar, the truth about the doping ban and the two lost years, the £75m option ceiling, why Spurs' confidence-rebuild signings keep failing, what Chelsea fans really think of Tosin, the Danso exit, and the window's most underrated success — Mikey Moore's loan to Köln and Sosa's to Porto. Then the Nottingham Forest preview, powered by Gradient: Forest's long-ball, low-possession style, the corner threat, and why Spurs' away record inverts the usual disadvantage. Both make a prediction — but one of them goes against their own head, and you'll want to hear the case. Data first, feelings second. The Analyst. #KeepItLilyWhite #OhSo33 Learn more about your ad choices. Visit podcastchoices.com/adchoices