Podcasts about predictive

September 16, 2026: Looking for NFL, CFB and MLB predictions and best bets? The Best Betting Show Ever is your ultimate destination for sports betting predictions, odds, and best bets all season long! On today's episode, Joe, Prez, Art and Ralph discuss NFL Week 2 and CFB Week 3 trends and angles, MLB Picks, parlay of the day and plenty more!00:00 INTRODUCTION02:02 MLB ROUNDUP | POST SEASON RACE03:57 SHARP BETS TODAY: NFL | MLB | CFB05:18 THURSDAY NIGHT NFL TOTAL LIONS VS BILLS06:05 OVER-REACTIONS IN THE NFL AND CFB09:25 PARLAY OF THE DAY10:20 PREDICTIVE MARKETS: BITCOIN 5PM ET MARKET PRICE | NFL CHAMPION MARKET20:06 LAST TIME THE JETS AND BROWNS WON ON THE SAME DAY (HINT: PREZ IS WRONG)24:43 NFL TRENDS & ANGLES FOR WEEK 2 WITH RALPH MICHAELS28:02 CFB TRENS & ANGLES FOR WEEK 3 WITH RALPH MICHAELS39:05 HAIRCUT PLAY IN THE NFL WEEK 243:08 MLB RUNDOWN47:02 MAILBAG! VIEWER COMMENTS & QUESTIONS

Join Larry Spargimino and Bob Maginnis as they show, through everyday examples, how serious and dangerous the use of AI is and what it is really for: health care, fighting crime, how AI removes accountability, and the tendency of people to reverence and worship something other than God Almighty. Some of the issues we discussed: Predictive policing; Is it possible for Christians to unknowingly take the Mark of the Beast? Healthcare Algorithms that could restrict healthcare from being available to everyone. And a "permissioned economy" and Revelation 13. And much more…

September 14, 2026: Looking for MLB, college football and NFL predictions and best bets? The Best Betting Show Ever is your ultimate destination for sports betting predictions, odds, and best bets all season long! On today's episode, Joe, Bryan and Art discuss today's sharpest moves, Monday Night Football picks, MLB Picks, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:37 WEEKEND RECAP04:12 MONDAY NIGHT FOOTBALL PREVIEW09:13 SHARP BETS TODAY09:44 PARLAY OF THE DAY11:44 PREDICTIVE MARKETS | AMERICAN LEAGUE PENNANT WINNER MARKET21:38 NFL WEEK 2 LOOKAHEAD29:08 MLB RUNDOWN

Commentary by Dr. Jian'an Wang.

Moving from reactive operations to predictive AI starts with trusted data. In this episode of Technovation, Peter High speaks with Ajay Waghray, EVP and Chief Information Officer of PG&E, about the technology, data, process, and people transformation behind the company's shift toward more predictive and proactive operations. Waghray explains how PG&E combines trusted asset, weather, environmental, sensor, and smart-meter data to support continuous monitoring and AI-driven decision-making. He shares how these capabilities have helped avoid 19 million outage minutes, prevent 28 potential ignitions, and eliminate more than 5,000 emergency response hours. The conversation also explores PG&E's three-pillar AI strategy, foundation, democratization, and execution, and why cybersecurity, responsible AI, and standardized processes must advance together. Listen to the full episode to hear how PG&E is building the foundation for predictive AI at enterprise scale. This episode is presented by Tines — Freedom to build. Complete security. No compromises. Learn more at tines.io This episode is also presented by Retool — Build internal software better, with AI. Learn more at retool.com

Die letzten Monate waren geprägt von neuen Foundation Models für tabellarische und sequentielle Daten: TabPFN 3 skaliert auf eine Million Beobachtungen, Google stellt mit TabFM ein eigenes Modell samt BigQuery-Integration vor, NXAI veröffentlicht TiRex-2 mit Kovariaten-Unterstützung, und an der Spitze von GIFT-Eval steht mit STRIDE eine Kombination aus LLM-Reasoning und Time Series Foundation Model. Dazu kommen der ClickHouse-MCP-Server und der Stand der Umsetzung des EU AI Act nach dem Digital Omnibus. Im Praxisteil vergleichen wir TabICL v2 mit einem getunten XGBoost, Meta Prophet und naiven Baselines auf stündlichen NO2-Messwerten von fünf Messstationen, ausgewertet über ein Jahr rollierender Kreuzvalidierung mit dem Mean Absolute Scaled Error. Wir zeigen, welches Feature-Engineering nötig ist, wie sich der Vorteil von TabICL mit der Länge der Historie verändert und was das an Rechenzeit kostet. Zum Schluss ordnen wir ein, wann sich ein Foundation Model für Zeitreihen anbietet und wann XGBoost die pragmatischere Wahl bleibt.   **Zusammenfassung** TabPFN 3 (Mai 2026) skaliert auf einer H100 auf bis zu 1 Mio. Beobachtungen; verbessertes KV-Caching senkt die Prognosezeit auf 0,1–3 ms pro Testbeobachtung und macht das Modell für schnelle Batch-Prognosen nutzbar. Googles TabFM ist von TabPFN und TabICL inspiriert, liegt im TabArena-Benchmark vor TabPFN 3 und ist direkt in BigQuery integriert. TiRex-2 von NXAI setzt auf eine xLSTM- statt Transformer-Architektur und kann jetzt zusätzliche Kovariate einbeziehen – ein Test steht bei uns noch aus. STRIDE führt den GIFT-Eval-Benchmark an: Das LLM prognostiziert nicht selbst, sondern steuert über destillierte Embeddings ein Time Series Foundation Model. Kurz notiert: Der ClickHouse-MCP-Server (v0.4.1) erlaubt LLM-Abfragen ohne SQL, etwa zur Log-Diagnose; beim EU AI Act gelten die Transparenzpflichten seit August, die Kennzeichnung von Bestandssystemen greift ab dem 2.12.2026. Praxis-Setup: TabICL v2 mit Kalender-, Fourier- und Lag-Features gegen getuntes XGBoost, Prophet, TabICL out-of-the-box sowie Naive und Seasonal-Naive; stündliche NO2-Daten, 24-Stunden-Horizont, Metrik MASE. Ergebnisse: Bei zwei Jahren Historie liegt TabICL klar vorn, bei rund 8.000–9.000 Trainingsbeobachtungen ist XGBoost praktisch gleichauf, bei drei Monaten Historie noch etwa 4 % schlechter; ohne jedes Feature-Engineering schlägt TabICL Prophet und die naiven Baselines deutlich. Kosten: Die Kreuzvalidierung mit TabICL auf einer L40S-GPU dauert etwa 17-mal länger als mit XGBoost, auf CPU ist das Modell nicht praktikabel – Caching dürfte diesen Nachteil künftig verkleinern.   **Links** Link zum begeleitenden Blogartikel "TabICL v2 für Zeitreihen: Das In-Context-Learning-Modell im Vergleich mit XGBoost und Meta's Prophet" https://www.inwt-statistics.de/blog/tabicl_v2_fuer_zeitreihen #72: TabPFN: Die KI-Revolution für tabulare Daten mit Noah Hollmann https://www.podbean.com/ew/pb-94ri2-18aca83 #57: Mehr als heiße Luft: unsere Berliner Luftschadstoffprognose mit Dr. Andreas Kerschbaumer https://www.podbean.com/ew/pb-u6xwt-16ff139 TabPFN-3 Technical Report: https://priorlabs.ai/technical-reports/tabpfn-3 TabPFN auf GitHub: https://github.com/PriorLabs/TabPFN Google Research zu TabFM: https://research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/ TabFM in BigQuery: https://cloud.google.com/blog/products/data-analytics/tabfm-adds-predictive-ml-to-bigquery TiRex-2 (NXAI): https://www.nx-ai.com/en/tirex-2 | Code: https://github.com/NX-AI/tirex-2 | Paper: https://arxiv.org/abs/2607.01204 STRIDE – Reasoning-Aware Training for Time Series Forecasting: https://arxiv.org/abs/2605.08625 Time Series LLMs am Beispiel t0-alpha: https://towardsdatascience.com/time-series-llms-explained-with-t0-alpha/ ClickHouse MCP Server: https://github.com/ClickHouse/mcp-clickhouse EU AI Act nach dem Digital Omnibus (Überblick): https://www.deloitte.com/de/de/issues/innovation-ai/eu-ai-act-digital-omnibus.html TabICL v2 auf GitHub: https://github.com/soda-inria/tabicl TabICL-Dokumentation: https://tabicl.readthedocs.io/en/latest/ Tutorial zum TabICLForecaster: https://tabicl.readthedocs.io/en/latest/tutorials/time_series_forecasting.html Meta Prophet: https://github.com/facebook/prophet GIFT-Eval Leaderboard: https://huggingface.co/spaces/Salesforce/GIFT-Eval TabArena Leaderboard: https://huggingface.co/spaces/TabArena/leaderboard  

9/2/2026 IPS DEPROGRAM features the concept of “Realville,” a mental state of skepticism used to navigate a world dominated by media fakery and staged events. The host argues that both mainstream and alternative media serve as controlled opposition, using “mind viruses” and predictive programming to manipulate public perception. By analyzing historical events like 9/11 and recent political incidents, the host suggests that major news stories are often synthetic productions designed to reinforce a false historical timeline. The host encourages listeners to adopt an “off-world stage” perspective to recognize how entertainment and government collude to manufacture a hyperreality. Ultimately, the source advocates for critical thinking as a defense against the psychological warfare embedded in modern information cycles.Key Discussion Topics* The Philosophy of Realville: Realville is described not as a physical platform or a set of beliefs, but as a state of mind and a “system update” that replaces emotional reactivity with active, thoughtful skepticism.“Realville is not on YouTube. It's not even on Substack. It's in your head. It's the operating system update. It's your perspective.”* The “PSYOP Entertainment Complex”: The host argues that major historical milestones are actually manufactured, highly orchestrated media productions managed under a single unified system.“All of the PSYOPs have the same production company. It's the PSYOP Entertainment Complex.”* The Mandela Effect as Cognitive Sabotage: Rather than representing supernatural glitches or spiritual miracles, the Mandela Effect is analyzed as an engineered form of gaslighting designed to create doubt and ruin the credibility of media analysts.“...the Mandela effect was, again, cognitive sabotage targeting Those who were starting to see through media fakery.”* Predictive and Concurrent Programming: The speaker distinguishes between predictive programming (which pre-conditions populations to expect future events) and concurrent programming (which aligns fictional entertainment real-time with current news stories).“Concurrent programming refers to often to the day, real time synchronization.”* YouTube Censorship and Controlled Discourse: Platforms like YouTube are described as modern arms of government that regulate thought and speech through restrictive rules like the “no auto-hoaxing” policy.“Content that denies well documented major events is not allowed on YouTube.”Quotes from Three Commenters* Joe from Connecticut:“I remember watching the footage where they showed him hitting the ground. I remember saying it looked fake. That was before I came off world stage.”* P. Trippa :“I'm hung up on why we're being controlled. I'm thinking that money isn't really a significant tool for control of that one's thought. I think they're just trying to survive.”* WeeDug :“Back then I had no reason to suspect they were not legit. Looking through different eyes now, that's for sure.” This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit infiniteplanesociety.substack.com/subscribe

Album 8 Track 20: Unlocking the Predictive Advantage w/Sheldon PoonWhat happens when you mix a computer science background, a decade teaching high schoolers, and a philosophy degree? You get today's guest, Sheldon Poon, Founder and CEO of Drive Marketing, a leader driving $10 back for every $1 spent on Meta and Google ad campaigns.In this episode of Brands, Beats & Bytes, Darryl "DC" Cobbin, Larry Taman, and Sheldon Poon examine why the digital marketing playbook shifted 180 degrees. Sheldon explains how modern ad algorithms use 50,000+ data points to identify deep psychographic patterns and why forcing tight demographic boundaries actually destroys your return on ad spend. Plus, Sheldon shares a candid, real-time look at a major business misstep that reshaped how he approaches pipeline growth, agency scaling, and company culture.In today's AI infused world, we know this is an episode you'll enjoy (and learn a lot from)Don't forget to subscribe, rate, and share with a fellow Brand Nerd!Instagram | LinkedIn

In this week's episode, Blood editor Dr. Laurie Sehn interviews Drs. Camille Laurent and Christine Bezombes on their latest article published in Blood titled "Patient-derived lymphoma spheroids reveal predictive markers of glofitamab resistance in relapsed/refractory B-NHL." By using patient-derived lymphoma spheroids as an ex vivo platform, they identify key mechanisms of resistance to the bispecific T-cell engager glofitamab in B-cell non-Hodgkin lymphoma, showing that higher CD8 T-cell abundance and cytotoxic activity is associated with better therapeutic responses, while increased T follicular helper (Tfh) cells correlate with resistance. The authors further show that resistance could be overcome by depleting Tfh cells or combining glofitamab with TIGIT (T-cell immunoreceptor with Ig and ITIM domains) blockade, highlighting promising strategies to improve responses to T-cell engager therapies.

Black Friday is broken. Shopify brands can no longer win by simply offering bigger discounts — the future winners will be the brands that AI can find, understand and recommend when customers are ready to buy.Black Friday and Cyber Weekend are changing. As customers increasingly use AI shopping assistants, personalised recommendations and new search experiences to discover products, Shopify brands need a new strategy to compete.In this episode, Nick breaks down how AI will transform ecommerce sales, why the old Black Friday playbook is becoming outdated and how smarter brands are using AI to improve discovery, create better offers and turn seasonal shoppers into long-term customers.You'll learn:How AI shopping assistants could change Black Friday and ecommerce discoveryWhy Shopify brands need to make their products easier for AI to understand and recommendHow AI can analyse customer behaviour and create personalised offersHow brands can use real-time data to improve ad creative and campaign performanceWhy the smartest Shopify brands use Black Friday as a customer acquisition opportunity, not just a discount eventHow to convert Black Friday shoppers into repeat customers after Cyber WeekendNick also shares five tools Shopify brands can use to prepare for the biggest shopping period of the year, covering AI-powered marketing, ecommerce SEO, conversion optimisation, inventory planning and fulfilment.In this episode:(0:00) - Why Black Friday is broken for Shopify brands(2:15) - The shift from traditional discounts to AI-driven personalization(5:42) - How AI agents will handle customer shopping in 2026(8:30) - Predictive inventory: Using AI to prevent stockouts(12:10) - The "Death of the Storefront" and the rise of headless commerce(15:45) - Building a brand that survives the AI revolution(19:20) - Actionable steps to prepare your Shopify store nowFollow Winning With Shopify for practical ecommerce growth advice every Tuesday and Friday.Exclusive listener offers:Ships-A-Lot - Improve fulfilment costs and find hidden shipping margin leaks.Inventory Planner - Free seven-day inventory bootcamp.Omnisend - 30% off paid plans for three months with code WINNINGWITHOMNISEND.Yoast - 15% off Shopify and WordPress with code WWS.506 - Extended 30-day free trial on any of their three Shopify apps with code WWS.About Winning With ShopifyWinning With Shopify is powered by Winning With Shopify, helping ecommerce brands grow through practical Shopify strategies, expert interviews and actionable advice.Spec Digital is a PPC & SEO agency helping ecommerce brands grow through performance marketing.

What if the biggest obstacle to your productivity isn't your schedule, your tools, or your willpower, but the stories you've been telling yourself without realizing it?In this episode of Productivity Smarts, host Gerald J. Leonard sits down with Owen Fitzpatrick, CSP, social psychologist, keynote speaker, and author of Inner Propaganda, to explore how the hidden architecture of belief drives behavior, performance, and transformation.Owen introduces the concept of belief leadership, the idea that people don't follow plans, they follow beliefs, and explains why most productivity struggles trace back to a single limiting story we've bought into about who we are. Gerald and Owen dig into how the brain operates as a prediction machine, filtering the world through only 40 bits of the 10 million bits of information our eyes take in every second, and why that means we often see the world not as it is, but as we are.The conversation moves into Owen's time in North Korea, the origin of the term "inner propaganda," and how the same mechanisms nations use to indoctrinate citizens show up in our own heads, in advertising, and even in how AI systems learn to persuade us. They close with a discussion of antifragility, and how reframing failure as fuel can help you build an identity that gets stronger under pressure rather than breaking down. If you're ready to challenge the subconscious stories running your life and your leadership, this episode is packed with insight you can apply immediately.What We Discuss[00:00] Introduction[02:01] Guest introduction: Owen Fitzpatrick[05:28] Belief leadership: why people follow beliefs, not plans[06:07] Not enough hours and the myth of the "unproductive person"[08:02] How the stories we sell ourselves become our beliefs[08:49] The smoker story: expanding your identity to make change possible[11:30] 10 million bits vs. 40 bits: how little we actually perceive[12:10] The brain as a prediction machine[13:12] Why the brain optimizes for survival, not productivity[14:24] Seeing the world through the lens of our own stories[15:51] North Korea and the origin of "inner propaganda"[17:56] Rambo, Rocky, and everyday indoctrination through media[20:12] Tribalism, vilification, and the price of belonging[21:41] Reading from the book: "The Brain Always Wins"[23:27] Predictive processing and the neuroscience of belief[24:08] Lisa Feldman Barrett and how emotions are constructed[26:24] Priming, expectation bias, and running into walls[27:44] How beliefs set us up for self-sabotage or success[30:08] Antifragility: getting stronger from adversity[32:01] Blending identities: jazz, productivity, and reinvention[33:34] Where to find Owen and his book[34:39] Final thoughtsNotable Quotes[08:12] "The stories that we sell to ourselves, not necessarily just tell ourselves, but sell to ourselves, they become the beliefs that we buy." – Owen Fitzpatrick[10:24] "An identity is just a story we sell to ourselves about who we are... and because it's just a story, we can sell ourselves a new story." – Owen Fitzpatrick[12:11] "The brain is a prediction machine." – Owen Fitzpatrick[13:46] "Your brain does not optimize for productivity. It optimizes for survival and it optimizes for stability." – Owen Fitzpatrick[16:30] "The exact same mechanisms that the state uses to propagandize are the same things that my brain uses." – Owen Fitzpatrick[21:59] "The brain is a gambling addict that bets on reality. It doesn't wait for information. It guesses what should happen and adjusts when surprised." – Owen Fitzpatrick[27:57] "We can completely distort a situation based upon our beliefs or expectations, because that's how we get into mental health struggles... that's how we sabotage ourselves." – Owen Fitzpatrick[30:17] "The opposite of fragile is not resilient... antifragility is when you expose something to adversity, it gets stronger as a result." – Owen Fitzpatrick[30:54] "Every single time you're wrong, it helps you to learn and grow and improve." – Owen FitzpatrickResource and LinksOwen FitzpatrickWebsite: owenfitzpatrick.comLinkedIn: www.linkedin.com/in/owenfitzpBook: Inner Propaganda Book Website: innerpropaganda.comPodcast: Inner PropagandaNewsletter: Inner PropagandaProductivity Smarts PodcastWebsite - productivitysmartspodcast.comGerald J. LeonardWebsite - geraldjleonard.comTurnberry Premiere website - turnberrypremiere.comScheduler - vcita.com/v/geraldjleonardKiva is a loan, not a donation, allowing you to cycle your money and create a personal impact worldwide. https://www.kiva.org/lender/topmindshelpingtopmindsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Fleet safety has always been important, but the way leading fleets approach it is changing. Rather than simply responding to accidents after they occur or focusing on compliance, many are using data, technology, and AI to identify risk earlier, improve driver performance, and prevent incidents before they happen. What separates these fleets from the rest, ... Read more The post [Video] Predictive Safety: What Sets the Best Fleets Apart appeared first on Talking Logistics with Adrian Gonzalez.

Andrew of the 6G Agenda joins Nephilim Death Squad for a deep dive into Flock cameras, AI surveillance, predictive policing, Palantir, Oracle, Neuralink, smart dust, smart cities, digital twins, and the accelerating technocratic system being built around everyday life.The conversation begins with Flock camera networks and expands into a much larger discussion about automated license-plate recognition, mobile surveillance, drones, police militarization, data aggregation, and predictive policing. Andrew lays out his research and claims involving Flock, Axon, Oracle, Palantir, Peter Thiel, Total Information Awareness, Palantir Gotham, the Internet of Things, and the idea of a “digital twin” built from personal data.From there, the discussion turns toward Neuralink, brain-computer interfaces, immigrant detention-center allegations, smart dust, MEMS, graphene, body-activity data, Wi-Fi tracking, LED infrastructure, smart cities, and Microsoft patent WO2020060606. The hosts also examine the rapid growth of artificial intelligence, the concept of technological singularity, and whether these systems could eventually resemble technologies associated with the Biblical Mark of the Beast.The second half shifts toward the Christian response to surveillance, fear, propaganda, and social control. Rather than allowing conspiracy research to produce paralysis, anger, or fear, the discussion emphasizes discernment, trust in the Lord, action, community, and the Biblical principle of being in the world without becoming part of its system.The episode closes with a broader prophecy discussion involving the “little season,” Gog and Magog, the millennial reign, Isaiah 11, the wolf and the lamb, Osiris, Odin, Hitler imagery, Antichrist symbolism, and the idea that modern technological and political systems may be converging toward something much larger.Which part of this system concerns you most: Flock cameras, Palantir, Neuralink, smart dust, AI, or smart-city infrastructure? Drop your thoughts in the comments.► Subscribe for more Biblical analysis, Christian worldview discussions, and conspiracy research through a Biblical lens.Listen on Spotify, Apple Podcasts, and everywhere podcasts are available.Apple Podcasts: 6G Agenda on Apple PodcastsSpotify: 6G Agenda on SpotifySpreaker: 6G Agenda on SpreakeriHeartRadio: 6G Agenda on iHeartRadioX / Twitter: @6gagendaInstagram: @6gagendaTikTok: @6gagendapodcastPatreon: 6G Agenda Patreon6gagendapod@gmail.com.00:00 Intro02:23 Andrew of the 6G Agenda05:42 Flock Cameras and the Surveillance Network10:18 Oracle, AI and Total Data Collection13:05 Police Militarization and the Panopticon18:28 Drones, Palantir and Predictive Policing19:44 Digital Twins and the Internet of Things24:40 Blacklists, the NDAA and Domestic Surveillance28:34 Christianity, Freedom and the Coming Pressure31:23 What Happens to the Church Under Persecution?35:31 Neuralink and Brain-Computer Interfaces38:54 Neuralink and Detention Center Allegations46:47 Peter Thiel, Palantir and Total Information Awareness50:38 Palantir Gotham and the Surveillance System54:49 Smart Cities vs. Rural Communities60:31 Building Communities With Like-Minded People65:42 AI Acceleration, Singularity and the Mark of the Beast67:38 Smart Dust, MEMS and Graphene69:25 Body Activity Data and the Microsoft Patent75:11 Smart Dust, Consent and Predictive Programming80:48 Fear, Faith and Christian Action88:17 Being in the World, But Not of It94:37 Electric Gloves and the Expanding Surveillance State99:15 The “Little Season,” Gog and Magog104:46 Osiris, Odin and Antichrist Symbolism110:04 Isaiah 11: The Wolf and the Lamb112:10 ClosingBecome a supporter of this podcast: https://www.spreaker.com/podcast/nephilim-death-squad--6389018/support.☠️ Nephilim Death Squad — New episodes 5x/week.Join our Patreon for early access, bonus shows & the private Telegram hive.Subscribe on YouTube & Rumble, follow @NephilimDSquad on X/Instagram, grab merch at toplobsta.com. Questions/bookings: chroniclesnds@gmail.com — Stay dangerous.

In this episode, host Dr. Dan Beswick speaks with Dr. Garret Choby and Dr. Alexandria Harris. They discuss the recently published Original Article: ” Early Versus Late Recurrence in Olfactory Neuroblastoma: A Multi-Institutional Analysis of Predictive Risk Factors.” The full manuscript is available as open access in the International Forum of Allergy and Rhinology. Listen […]

Predictive analytics fails at exactly the moments that matter most, and this episode explains what to use instead.Every predictive model ever built is trained on historical data. It looks backwards to tell you what happens next. That works brilliantly right up until something happens that has never happened before, and then the model has nothing. Oliver walks through the last decade of black swan events that no algorithm saw coming, and the operators who felt them arriving anyway.This is not an argument against data. Oliver runs PinPoint Media, a performance marketing agency that lives in the data every day. It is an argument against the uncritical worshipping of it.He covers the three specific ways data misleads decision makers, the difference between optimisation decisions and direction decisions, and a five-step process for making the calls that models cannot make for you.The framework is simple. Data for optimisation. Intuition for direction. Feedback loops for everything.Key topics covered: Why predictive analysis fails at inflection points The three ways data actively misleads decision makers Survivorship bias and why your data only shows you the survivors The correlation and causation collapse that quietly wrecks strategy Recency bias amplification in volatile markets Why intuition is compressed data, not the absence of data How to tell an optimisation decision from a direction decision The five-step process for making direction decisions How to run a black swan stress test on your next forecast Building a decision journal to calibrate your own judgement Key takeaway: the businesses that win the next decade will not be the ones with the best models, they will be the ones with the best judgement.Sponsored by Incard. Sign up now. All your finances. One platform. For 2% Cashback for year 1 on Ads, SaaS, Travel and other everyday business expenses. Uncapped. Here's your promo code: UNLOCK2026 https://www.incard.com/?fpr=theunlockMore from Oliver:Instagram: https://www.instagram.com/oliverbrucefounder/ PinPoint Media: https://pinpoint-media.global/ Apple Podcast: https://podcasts.apple.com/gb/podcast/the-unlock-with-oliver-bruce/id1526266908Connect with Oliver: https://www.linkedin.com/in/oliverbruceonline/

Dr. Karen Litzy is joined by Dr. Pedro Teixeira, Vice President of AI Engineering at Prompt Health and former co-founder and CEO of Prediction Health, for a practical conversation about how AI fits into healthcare workflows. Pedro breaks down the differences among automation, AI, and agentic systems and explains why the best tools support clinicians rather than replace their judgment. This episode focuses on what clinic owners and clinicians should look for when evaluating AI tools: workflow fit, safety, latency, cost, and whether the system improves over time. If you want a grounded, non-hype conversation about AI in healthcare, this is a useful one. Key topics ·       In this episode, Karen and Pedro compare thoughtful AI vs powerful AI and why workflow fit matters as much as model capability. ·       Pedro explains latency in practical terms, including why perceived delay matters and how feedback like loading states can make AI feel faster. ·       They unpack tokens, model size, and cost, including why input and output usage can change pricing so quickly. ·       Pedro shares how AI can work in the background across notes, codes, compliance checks, and analytics for clinic owners. ·       The conversation covers HIPAA, PHI, encryption, sandboxing, and limited tool access as essential safeguards for healthcare AI. ·       Pedro distinguishes automation, AI, and agentic systems, with examples of when rules are enough and when messy data really does call for AI. ·       They compare predictive vs generative models and explain why generating plausible text is not the same as forecasting a clinical outcome. ·       Karen and Pedro discuss how some clinics are using AI as a decision support tool, while still keeping humans in control of final decisions. ·       Pedro emphasizes that clinic owners should think in terms of systems, including what happens when AI works well and when it fails. ·       He closes with a simple evaluation question for any AI pitch: How does this system get better over time? Timestamps 00:00 - Introduction and why Pedro Teixeira is a grounded voice on AI in healthcare 01:24 - Why thoughtful AI matters more than powerful AI 03:57 - What latency means and why perceived speed changes the user experience 05:16 - How models work with transcripts, prompts, and tokens 07:24 - What tokens are and why AI bills can rise fast 09:13 - The real cost of large models, GPUs, and background processing 11:23 - How AI can quietly support clinic analytics and business coaching 13:13 - Why healthcare AI must stay closed loop and HIPAA safe 15:13 - Automation vs AI vs agentic systems 18:59 - Predictive vs generative models explained for clinic owners 21:45 - When AI can predict patterns from clinician notes and when it cannot 24:03 - How power user clinics are using AI tools in practice 25:56 - Why AI should do what clinicians decide, not decide for them 28:37 - Designing AI around systems, workflows, and failure states 30:22 - Using SOPs and training docs to think through AI implementation 31:57 - How clinic owners should evaluate whether to bring AI into the practice 35:53 - The one question to ask any AI vendor: how does it improve over time? 37:00 - Final takeaways and encouraging clinics to experiment 38:02 - Lightning round: overhyped AI tools in healthcare 39:20 - What clinicians should understand about how AI really works 40:50 - What Pedro would do if he were not building healthcare AI 41:41 - Real world learning, messy data, and why experience matters 42:59 - Pedro's health habits and the AI built tracker on his watch 44:15 - Where to find Pedro and Prompt Health Notable quotes "Thoughtful AI is really taking into account where are people using it, how does it fit into their day to day?" "The best systems are the ones where you are deciding." "How does this system get better?" Resources & Links: ·      Prompt Health ·      Pedro on LinkedIn More About Dr. Pedro Teixeira: Pedro Teixeira, MD, PhD, is Vice President of AI Engineering at Prompt Health and previously served as Co-Founder and CEO of PredictionHealth, now a Prompt Health company. With nearly two decades of experience across AI and healthcare and PhD-level training in biomedical informatics from Harvard and Vanderbilt, Pedro is one of the most grounded voices on AI in healthcare. He believes healthcare's biggest challenges are systems problems, not technology problems, and that the real promise of AI is creating leverage so clinicians can spend more time on what matters most: their patients. Jane Sponsorship Information: Book a one-on-one demo here Mention the code LITZY1MO for a free month Follow Dr. Karen Litzy on Social Media: Karen's Instagram Karen's LinkedIn Subscribe to Healthy, Wealthy & Smart: YouTube Website Apple Podcast Spotify SoundCloud Stitcher iHeart Radio

On today's episode, Prez and Art discuss today's sharpest moves, MLB action, NFL and college football futures, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:36 HOW'D THE BOOKS DO01:09 SHARP BETS TODAY02:05 PARLAY OF THE DAY03:09 PREDICTIVE MARKETS: BITCOIN AT 5PM |06:17 NFL FUTURE BEST BET10:41 CFB FUTURE BETS13:15 MLB RUNDOWN

Every engineer at Wayfair can now see, in real time, exactly what their code costs, and that's on purpose. Brent Eubanks, FinOps Architect at Wayfair, walks us through what happens when you stop treating AI spend as a finance problem and start treating it as an engineering one.The story that sticks with you: a team was burning $400k a month on an LLM-driven workflow, until they flipped the whole thing on its head - hard-coded logic doing the heavy lifting, AI called in only when it's actually needed. New spend: $80k. It's the kind of move that only makes sense once you realize more agentic autonomy isn't always the win it's sold as.From there we get into the machinery Wayfair has built to make cost ownership feel less like a punishment and more like a superpower: guardrails baked straight into coding copilots, predictive alerts that catch a team blowing its budget before the month even ends, a "spend captain" system that pushes budget decisions down to the people closest to the work, and a genuinely strange new question every tech leader is starting to ask: if you were staffing a company with a team of AI agents instead of people, what would that org chart even look like?Wayfair: https://www.wayfair.comBrent Eubanks: https://www.linkedin.com/in/brenteubanksDemetrios: https://www.linkedin.com/in/dpbrinkmTimestamps:[00:00] Intro & teaser [01:14] Meet Brent (FinOps Architect, Wayfair) [02:34] Making AI adoption easy for developers [03:30] Three-area cost governance framework [04:45] Automated FinOps guardrails in pull requests [07:29] Predictive analytics: 400% over budget warnings [08:26] The 400% spender: asset or liability? [10:06] The "spend captain" model [12:13] The goal: 1000x more token use in two years [13:05] The thought experiment [15:08] The $400k workflow rebuilt for $80k [16:42] Hardcoded first, LLM as fallback [19:49] Engineers now own their full cost stack [20:13] The FinOps companion that works overnight [24:10] Guardrails injected before the pull request [26:17] Recurring tasks become automated skills [27:46] Sankey diagram: cost per agent step in real time [28:40] "The bill didn't blow up - that doesn't happen by accident"

Mike Noble joined Bruce & Gaydos to discuss a new Noble Predictive Insights poll that has Governor Katie Hobbs leading Rep. Andy Biggs in the gubernatorial race by 13 points.

On today's episode, Prez and Art discuss today's sharpest moves, MLB action, NFL and college football futures, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:36 HOW'D THE BOOKS DO01:58 SHARP BETS TODAY05:10 MLB WILD CARD TEAMS06:05 PARLAY OF THE DAY07:36 PREDICTIVE MARKETS: BITCOIN AT 5PM | AFC EAST EXACT FINISH MARKET11:15 NFL FUTURE BEST BETS14:19 CFB FUTURE BETS17:11 MLB RUNDOWN

Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about our partnership. Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released. To explore more neuroscience news and perspectives, visit thetransmitter.org. Marco Facchin is a postdoctoral philosopher of neuroscience and cognitive sciences more broadly at the University of Antwerp. He and his colleague Farid Zahnoun recently hosted a workshop called Beyond Neuro-computationalism with themselves and a handful of speakers, almost all of whom have been on Brain Inspired. In that workshop, they discussed many topics around this sort of forever ongoing reassessment in neuroscience and philosophy about how best to think about cognition, the role of brains, embodied, enactive, embedded, extended - known together as 4E cognition - how much biological detail matters for a good explanation, and so on. The talks from that workshop are online, and I'll link to them in the show notes. So today Marco and I discuss how that all went, and many of the topics and themes I just mentioned, plus his own work and ideas along those lines. Marco Facchin Social: @marcofacchin.bsky.social Beyond neuro-computationalism talks. Why can't we say what cognition is (at least for the time being) Predictive processing and anti-representationalism Defusing the Representation-Hungry Challenge Structural representations do not meet the job description challenge Structure and function in the predictive brain Read the transcript. 0:00 - Intro 3:30 - Beyond neuro-computationalism 14:02 - Vicente Raja motifs 17:58 - 4E cognition 32:36 - Philosophy and neuroscience 42:18 - The problem with predictive processing 48:56 - Role of AI in understanding brains and minds 54:05 - Metabolic constraints 1:07:58 - A philosopher's view of neuroscience 1:13:27 - A-lieving and AI 1:25:47 - AI consciousness

On today's episode, Joe, Prez and Art discuss today's sharpest moves, MLB action, NFL and college football futures, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:22 HOW'D THE BOOKS DO01:44 SHARP BETS TODAY03:05 PARLAY OF THE DAY04:05 PREDICTIVE MARKETS: BITCOIN AT 5PM | NFC EAST EXACT FINISH MARKET15:08 NFL FUTURE BEST BET20:13 CFB FUTURE BETS25:06 MLB RUNDOWN

On today's episode, Joe and Art discuss today's sharpest moves, MLB action, NFL Preseason, AFC South futures, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:57 HOW'D THE BOOKS DO LAST NIGHT?02:47 SHARP BETS TODAY04:45 PARLAY OF THE DAY05:57 PREDICTIVE MARKETS: AFC SOUTH EXACT FINISH MARKET16:46 NFL PRESEASON FRIDAY NIGHT PICKS24:15 CFB FUTURE BETS27:07 MLB RUNDOWN

On today's episode, Joe, Prez and Art discuss today's sharpest moves, MLB action, NFL Division Winners, college football win totals, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:25 HOW'D THE BOOKS DO LAST NIGHT?01:32 SHARP BETS TODAY04:12 PARLAY OF THE DAY05:00 PREDICTIVE MARKETS: BITCOIN 5PM | NFC NORTH EXACT FINISH MARKET14:56 NFL PRESEASON WEEK 1 PICKS16:11 NFL FUTURES: DIVISION WINNERS27:58 CFB FUTURE BETS31:48 MLB RUNDOWN34:06 MAILBAG! VIEWER COMMENTS & QUESTIONS

Most retail AI pilots stall waiting on a years-long project to centralize and clean data before any agent can go live.   In this episode, Chris Slovak, Global Field CTO at Unframe, makes the case for a different path: letting agents pull context directly from ERPs, CRMs, and point-of-sale systems as needed, in conversation with host Marilie Fouché. He walks through concrete results from that approach, including an inventory intelligence deployment that saved tens of thousands of dollars in time and data costs, and a deployment cycle that shrank from nine months to two weeks.   This episode is sponsored by Unframe.   Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1

AI entrepreneur Anmol Madan, founder and CEO of RadiantGraph, explores how artificial intelligence is helping healthcare move beyond treating illness to predicting health risks before they become serious.

On today's episode, Joe, Bryan and Art discuss today's sharpest moves, MLB action, NFL futures markets, college football win totals, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION02:44 HOW'D THE BOOKS DO LAST NIGHT?05:48 SHARP BETS TODAY06:29 PARLAY OF THE DAY08:25 PREDICTIVE MARKETS: BITCOIN 5PM | FIRST NFL COACH FIRED ODDS16:11 NFL FUTURES: DIVISION WINNERS18:28 BETTING THE NFL PRESEASON TIPS21:50 CFB FUTURE BETS22:48 MLB RUNDOWN

What if the future of IT isn't about responding faster—but about knowing what's going to happen before it happens? David Raissipour, Chief Product & Technology Officer at ConnectWise joins us for a forward-looking conversation about how AI, agentic automation, and predictive intelligence are reshaping the managed services industry. David shares his perspective on the MSP inflection point, why traditional models of simply adding people, tools, and processes are reaching their limits, and how AI agents can help smaller MSPs compete on a more level playing field with larger organizations.    The conversation explores the evolution from reactive IT to predictive IT, where intelligent systems can identify issues, reason through problems, and execute tasks before they become customer-impacting events. David also emphasizes that this transformation is not an “anti-people” approach—it's a pro-success approach, giving technology professionals the opportunity to move beyond repetitive tasks and contribute at a higher, more strategic level. From the accelerating adoption of AI and dramatically changing response times to the importance of deciding when to buy versus build, David offers practical leadership insights for navigating this next chapter of technology. Plus, we look ahead to ConnectWise's exciting second half of the year and invite MSP and IT leaders to join the ConnectWise AI Agentic Roadshow and Executive Forum Series for conversations around AI, operational scale, and organizational performance. Follow David on LinkedIn and visit connectwise.com/executive-forum-series to participate in a city near you.  Timestamps: Inflection Point 9:20    AI Strategy 18:43 Launched Platform 27:19 Roadshow Series 37:44

Medical screening is often framed as an uncomplicated good: if disease is found earlier, treatment can begin earlier and outcomes should improve. This episode examines why that reasoning is incomplete. Screening can produce benefit, but it can also generate false positives, incidental findings, overdiagnosis, overtreatment and diagnostic cascades. Dr. Austin Baraki discusses the distinction between screening people without relevant symptoms and investigating a clinical problem, the probabilistic interpretation of test results, biases that can make screening appear more effective than it is, and the importance of shared decision-making before a test is ordered. Timestamps: [03:35] What screening means [06:36] Choosing what to screen [11:59] Sensitivity and specificity [16:54] Predictive value and prevalence [22:16] Harms of screening and testing [31:02] Overdiagnosis and biases [41:40] The $50,000 physical [44:49] Overdiagnosis vs false positives [53:03] Overtreatment and surveillance [57:22] Clinician action bias [01:02:30] What to screen for Links: Go to episode page (with resources) Join the Sigma newsletter for free Subscribe to Sigma Nutrition Premium Enroll in the next cohort of our Applied Nutrition Literacy course Instagram: @austin_barbellmedicine Twitter: @AustinBaraki

On today's episode, Joe, Bryan and Art discuss today's sharpest moves, MLB action, NFL futures markets, college football win totals, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:55 HOW'D THE BOOKS DO LAST NIGHT?03:25 SHARP BETS TODAY03:56 PARLAY OF THE DAY06:08 PREDICTIVE MARKETS: CY YOUNG WINNERS | AL COACH OF THE YEAR18:28 BETTING THE NFL PRESEASON TIPS26:04 NFL FUTURES: RECEIVING YARDS LEADER THIS SEASON31:32 CFB FUTURE BETS38:05 MLB RUNDOWN

Do you pray and feel like no one is listening? Is faith a doctrine you believe in or an expectation you have? Let's break down the nuances of faith and prayer from the gospels and notice the stark differences. It changes everything. The managed self vs. the native self. If you appreciate my work please consider a donation to "paypal.me/newdayglobal". You can find me and my posts on Substack also. Thank you!

Artificial intelligence is rapidly changing the way organizations analyze information, predict outcomes, and make critical decisions-but the real advantage isn't simply having more data. It's knowing what to do with it. On this episode of the American Warrior Show, Rich Brown sits down with Nissim Titan, CEO of 4Cast, to discuss AI-driven decision making and how emerging technology can help leaders turn massive amounts of information into actionable intelligence. Nissim shares his perspective on the intersection of artificial intelligence, predictive analytics, human judgment, and real-world decision making. The conversation explores how AI can help identify patterns, anticipate problems, evaluate risk, and allow decision-makers to act faster and with greater confidence. In this episode: How AI is transforming the decision-making process Turning enormous amounts of data into usable intelligence Predictive analytics and identifying problems before they occur Where artificial intelligence outperforms traditional analysis Why human judgment still matters in an AI-driven world Using technology to improve speed, accuracy, and situational awareness The dangers of bad data and misplaced confidence in technology How leaders can begin incorporating AI into their organizations What the next generation of AI-assisted decision making may look like For anyone interested in leadership, technology, preparedness, intelligence, or making better decisions under pressure, this conversation offers a fascinating look at how AI is becoming a powerful force multiplier for the modern decision-maker.

Goodfire co-founder and CTO Dan Balsam returns to discuss where interpretability research now stands and to introduce Silico, the $1,000-per-month research platform Goodfire built for itself. He and Nathan explore Predictive Data Debugging, including the idea that fine-tuning and RL often amplify behaviors already latent in pre-training, and that interpretability can identify the data and features driving unwanted updates. The conversation centers on concept manifolds: Dan argues that models do not store concepts as simple one-hot features, but as sparse mixtures of meaningful subspaces whose geometry determines what kinds of steering and control work. The stakes are practical as well as conceptual, from debugging training data and RL to understanding why steering can fail off-manifold and why modern interpretability may be moving beyond its reputation as a toy-model science. Silico: https://www.goodfire.com/silico Predictive data debugging: https://www.goodfire.com/research/predictive-data-debugging# Neural Geometry: https://www.goodfire.com/research/the-world-inside-neural-networks# For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/thinking-in-silico-goodfire-cto-dan-balsam-on-concept-manifolds-a-1000-month-ml-research-agent/ Sponsor: Claude: Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr CHAPTERS: (00:00) About the Episode (03:22) Predictive data debugging (12:36) Concept manifold geometry (21:22) Finding concept manifolds (Part 1) (21:28) Sponsor: Claude (22:57) Finding concept manifolds (Part 2) (33:24) Factoring model internals (49:32) Introducing Silico platform (57:10) Research taste and credits (01:06:19) Silico research use cases (01:16:37) Skills and open models (01:24:57) Guardrails and bio risk (01:32:09) Training interventions and monitoring (01:42:04) Grants and AI consciousness (01:50:41) Episode Outro (01:55:47) Outro PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

On today's episode, Joe, Prez and Art discuss today's sharpest moves, MLB action and the future markets, NFL Offensive Player of the Year, college football win totals, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION01:05 HOW'D THE BOOKS DO LAST NIGHT | NFL PRESEASON03:06 SHARP BETS TODAY05:11 PARLAY OF THE DAY06:02 PREDICTIVE MARKETS: AL PENNENT WINNER | AL EAST WINNER16:57 NFL AWARDS MARKET: OFFENSIVE PLAYER OF THE YEAR23:40 CFB WIN TOTAL BEST BETS29:20 MLB RUNDOWN

"A good way of thinking about this is this is the survival of the fittest clone. There could be a portion of a cancer that naturally has some resistance or ability to survive a particular drug. And over time, as the other cells around it are dying off, that particular clone is able to replicate and continue to survive in the face of that drug therapy and eventually take over as being the fittest clone. At that point, we're often seeing disease progression," Danielle Roman, PharmD, BCOP, manager of clinical pharmacy services at the Allegheny Health Network Cancer Institute in Pittsburgh, PA, told Jaime Weimer, MSN, RN, AGCNS-BS, AOCNS®, manager of oncology nursing practice at ONS, during a conversation about resistance pathways.  Music Credit: "Fireflies and Stardust" by Kevin MacLeod Licensed under Creative Commons by Attribution 3.0  Earn 0.5 contact hours of nursing continuing professional development (NCPD), including 30 minutes of pharmacotherapeutic content, by listening to the full recording and completing an evaluation at courses.ons.org by August 7, 2027. Roman has served on advisory boards for Genetech, Pfizer, Regeneron, and Daiichi Sankyo and received honoraria payments from Pharmacy Times and Decera for faculty lectures. These financial relationships have been mitigated. ONS is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center's Commission on Accreditation. Learning outcome: Learners will report increased knowledge related to resistance pathways in oncology care. Episode Notes  Complete this evaluation for free NCPD.  ONS Podcast™ episodes: Pharmacology 101 series Episode 423: Pharmacology 101: Interaction Pathways Episode 406: Drug Resistance Biomarkers and Their Impact on Cancer Treatment Choices ONS Voice articles: Predictive and Diagnostic Biomarkers Scientists Identify Protein Implicated in Tumor Growth, Treatment Resistance ONS book: Guide to Cancer Immunotherapy (second edition) Genomics and Precision Oncology Learning Library ONS Biomarker Database Pharmacogenomics Huddle Card CancerQuest: Cancer Drug Resistance National Comprehensive Cancer Network OncoKB.org Research To Practice To discuss the information in this episode with other oncology nurses, visit the ONS Communities.  To find resources for creating an ONS Podcast club in your chapter or nursing community, visit the ONS Podcast Library. To provide feedback or otherwise reach ONS about the podcast, email pubONSVoice@ons.org. Highlights From This Episode "As we look at drug resistance, this is the concept that cancer cells are no longer able to respond to a cancer treatment. The downstream of this is that we could end up with progression of the disease and need to look at alternative therapies that may be beneficial for the patient. This is unfortunately a very common phenomenon. Drug resistance is a major cause of treatment failure and poor patient outcomes with treatments. Unfortunately, this is an issue we see that increases over time on treatment." TS 2:29 "Genetics play a really big role in drug resistance. We know that drug resistance can be due to different things. It could be epigenetics. It could be the tumor microenvironment factors. But genetics often play a very big role in resistance pathways. It's generally considered to be a critical contributor to resistance, particularly in the way of acquired variants to drug targets or amplifications of certain oncogenes that can lead cancers to have progression. A well-known genetic alteration is the BRCA1/BRCA2 variant that helps to make the cancer more efficient at fixing DNA damage. So we're trying to get DNA damage with chemotherapy, and this particular variant helps at fixing that damage to allow the cancer to progress. So that is one genetic variant we see that plays a big role in a number of different cancers." TS 4:51 "These pathways are not mutually exclusive. Oftentimes we have multiple resistance pathways involved. I think it's important to understand some of those individually, but kind of thinking about this as we might be facing multiple resistance pathways. ... We can see resistance mechanisms that vary based on the type of treatment we use, for example, traditional cytotoxic chemotherapy. We may be more likely to see some resistance mechanisms that are working at DNA: repairing broken DNA or working on those efflux pumps that are being used to push chemotherapy out of cells. If we're talking more about the targeted therapies such as tyrosine kinase inhibitors or monoclonal antibodies, we may be more likely to see resistance mechanisms that are what we discussed with that drug target alteration: changing the way that the target agents are able to bind to the tumor cells to activate or inactivate pathways so we may see some changes there." TS 12:39 "One way to overcome this and to help to decrease the resistance from developing is using combination therapy: drugs that are targeting different pathways at once or potentially using combinations with things like chemotherapy in addition to immunotherapy. In this way, as we're getting these different targets, we can hopefully decrease the mechanism of resistance that may be developing." TS 14:48 "Biomarker testing is an incredibly important part of our practice. In many situations now, we are getting upfront, comprehensive biomarker testing to identify whether the patient may have any of those intrinsic or primary resistance mechanisms that might make it so a patient is never going to respond to a particular type of treatment. And in that case, we can spare the patient from the potential toxicities of that treatment if we don't think that there's going to be benefit there. So I think that that has become a really important way that we can tailor patients for understanding what treatments are going to be more effective. And then after that, there's usually additional biomarker testing that may be warranted at the time of progression in certain types of cancer. And that really helps us to understand that acquired resistance that might be developing." TS 17:32 "Nurses are really helpful with filling in the gaps and bringing back patient concerns that might be shared with them. And these might be early signs of progression. Better understanding how our patients are feeling and what's going on with them may help us to identify a patient that we need to do some additional testing for to understand whether there is drug resistance ongoing and potential progression of disease." TS 21:52

On today's episode, Joe and Art discuss today's sharpest moves, MLB action and the future markets, NFL Hall of Fame Game, MLB Awards, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:57 HOW'D THE BOOKS DO LAST NIGHT?02:25 NFL HOF GAME07:49 SHARP BETS TODAY08:44 PARLAY OF THE DAY11:16 PREDICTIVE MARKETS: NL MVP MARKET17:05 NFL AWARDS MARKET: DEFENSIVE ROOKIE OF THE YEAR21:32 CFB WIN TOTAL BEST BETS25:17 MLB RUNDOWN

Vanitha is a marketing professor at the University of Pittsburgh, Director of their Center for Branding, and author of Hyper Digital Marketing: Six Pillars of Strategic Brand Marketing in an AI-Powered World. Her client roster includes Hershey, Kraft Heinz, and P&G — brands that don't tolerate bad advice.In this episode, she explains why the old "command and control" era of brand management is over, what generative engine optimization (GEO) means for your go-to-market strategy right now, and why the most strategic thing you can do for your brand today might be making your purpose machine-readable. If you're still building a brand for humans only, you're already behind.Key Takeaways4:41 — The death of command and control branding. Brand meaning is no longer dictated from the top down. It's co-created by influencers, social users, experts — and now AI agents. Governance has to evolve.6:10 — GEO & AEO replace SEO. Generative Engine Optimization and Answer Engine Optimization are the new disciplines. Brand managers must now optimize for AI agents, not just human search.6:52 — Agent-to-agent commerce is coming. A customer's AI agent will negotiate with a seller's AI agent. The "double agent problem" is not hypothetical — it's the near future of B2C and B2B commerce.8:46 — Phygital is a strategic imperative. Physical and digital experiences are merging. AI-powered dynamic shelves, Gucci's tech-integrated showrooms, and real-time personalization are the new baseline customer expectation.10:07 — AI as a brand governance layer. AI can monitor every touchpoint and enforce brand compliance at scale — something no human team can do. It can also catch PR crises before they escalate.13:55 — Brand intelligence: three AI capabilities every founder needs. Predictive analytics (lead generation), generative AI (content at scale), and ethical AI (aligning purpose with every touchpoint) — each with a different role in the customer journey.16:05 — The uncanny valley of personalization. Empathetic AI can read emotional state and adjust messaging — but cross the line and customers feel surveilled. Personalization has to be "just right" or it backfires.19:20 — Startups have a structural advantage over legacy brands. Legacy companies are paralyzed by hierarchies and permission layers. Founders building from scratch can design AI-native workflows from day one.21:37 — Future-proof move: invest in data quality now. A unified, 360-degree view of customer data is the foundation for every AI capability. Without it, your AI tools have nothing to work with.22:47 — Purpose + Platform: the two most critical pillars. Purpose must become machine-readable. Platform thinking turns a product into an ecosystem. These two shifts separate brands that AI agents surface from those they ignore.26:44 — Brand as API. Codify your values into machine-readable rules. Program your AI agents to optimize for what you actually stand for — or they'll optimize for something else entirely.29:54 — Start from the experience, not the tools. The biggest mistake founders make: buying AI tools and hoping they add up to something. Work backwards from the customer's pain point, then slot in the right AI capability.37:39 — Highest-leverage AI moves in the next 60–90 days. Lead generation, predictive analytics for lifetime value modeling, and personalized content at scale — these are the three areas most founders are underleveraging right now.Tweetable Quotes"Brand meaning is no longer dictated from the top down. It's assembled by algorithms, co-created by communities, and negotiated between machines before a human is ever involved." — Dr. Vanitha Swaminathan"Your next customer's AI is already looking. The question is whether it can find you." — Jeff Mains"Taking your brand purpose and converting it into machine-readable code — that's what it means to be visible in an AI-powered world." — Dr. Vanitha Swaminathan"Peloton could have just sold treadmills. Every brand needs to ask: are we a product, or are we a platform?" — Dr. Vanitha Swaminathan"The small entrepreneur has a huge advantage. They're building systems from scratch — legacy organizations are caught with hierarchies that AI can't penetrate." — Dr. Vanitha Swaminathan"Purpose isn't a brand value anymore. It's infrastructure." — Jeff Mains"Start from the experience, work back to the tools — not the other way around." — Dr. Vanitha Swaminathan"You have to put checks and balances in place just like companies built privacy policies after the first cybersecurity wave. That's where brand management is headed." — Dr. Vanitha SwaminathanSaaS Leadership Lessons1. Your brand needs to be legible to machines, not just humans. AI agents are the new gatekeepers between your product and your buyers. If your differentiation, purpose, and proof points aren't structured in a way machines can parse, you won't make the shortlist — even if you're the best solution. Audit your website and content through the lens of an AI agent, not just a human reader.2. Stop buying tools. Start redesigning processes. Most companies pour money into AI tools that live in isolation and never add up to a better customer experience. The highest-ROI move is mapping your customer journey, identifying the friction points, and then selecting AI capabilities to solve specific problems. Tools follow process — not the other way around.3. Your data is your competitive moat. AI is only as good as what you feed it. Founders who invest early in unified, high-quality customer data — breaking down internal silos and creating a 360-degree view — will compound that advantage over time. Your competitors buying tools without clean data are spinning their wheels.4. Codify your values or your AI will invent them. If you don't tell your AI agents what to optimize for, they'll optimize for something — and it might not align with your brand. Translate your purpose, values, and brand standards into machine-readable rules. Think of your brand as an API: clear inputs, predictable outputs, consistent behavior at every touchpoint.5. The human-AI mix is your new product design challenge. The question isn't whether to use AI in customer-facing functions — it's where the handoff happens. Too much AI and you feel sterile. Too little and you can't scale. The founders who win will design deliberate human-in-the-loop moments that create trust and preserve the brand experience where it matters most.6. Think platform, not product. Every SaaS company is already closer to a platform than a product — you have data, users, and network effects working for you. Lean into it. Build the ecosystem around your core offering. Nike isn't a shoe company; Peloton isn't a treadmill company. Ask what yours is really for, and build accordingly.Guest Resourcesvanitha@katz.pitt.eduhttps://business.pitt.edu/professors/vanitha-swaminathan/https://www.facebook.com/PittBusinessSchool/photos/vanitha-swaminathan-thomas-marshall-professor-of-marketing-and-director-of-the-c/10158297436008280/https://www.linkedin.com/in/vanitha-swaminathan-5924896https://www.instagram.com/vanitha_swaminathanEpisode 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

On today's episode, Joe and Art discuss today's sharpest moves, MLB action and the future markets, NFL Rookie of the Year and Coach of the Year markets, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION01:05 HOW'D THE BOOKS DO LAST NIGHT?03:15 SHARP BETS TODAY04:22 PARLAY OF THE DAY05:41 PREDICTIVE MARKETS: MLB BATTING AVG & RBI MARKETS13:37 NFL AWARDS MARKET: ROOKIE & COACH OF THE YEAR20:25 CFB WIN TOTAL BEST BETS23:53 MLB RUNDOWN

Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about our partnership. Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released. To explore more neuroscience news and perspectives, visit thetransmitter.org. Alison Barth runs the Barth Lab at Carnegie Mellon University, where they use learning experiments in mice to try to figure out how the cortex works. As you may know, the brain in general but also the cortex itself is made up of a large variety neuron cell types, with different activity properties. Alison has the gritty job of identifying those different cell types in sensory cortex, and seeing how they change when animals learn to associate rewards with sensory stimulation. So unlike many of the guests, who take a much more zoomed out view and look at how populations of neurons carry out some function, Alison is happiest down at the cellular level. So we talk about her work, why she prefers to work at that scale, and a variety of related topics. Barth Lab. Related papers Barth lab publications. Learning, prediction accuracy, and neural plasticity in sensory cortex. 0:00 - Intro 4:24 - Alison's trajectory to learning and memory 21:02 - Automated mouse learning experiments 25:34 - What is success in this line of work? 32:34 - How many cell types do we need to explain? 34:33 - Current experiments 38:11 - How does cortex work? 45:19 - Predictive processing 1:02:01 - Obstacles 1:10:41 - Role of AI 1:33:38 - Moving forward

Psychedelics can expand your consciousness in a way most people can't imagine. My guest is Dr. Chloe West, a PhD neuroscientist who's been researching psychedelics for nearly a decade and is now writing a book on psychedelics and religious trauma. Dr. Chloe explains what happens in the brain during a trip, from increased entropy to disorganized activity in the default mode network. Her framing of the brain as clay, where plasticity softens it, and the trip itself guides how it gets reshaped, is one of the clearest explanations I've heard. We get into the REBUS model and one finding that stopped me: the research doesn't actually show that psychedelics reliably turn atheists into believers, even though people will swear otherwise. Beliefs about the self, however, are another story. Her personal story is where this conversation deepens. Chloe grew up in evangelical Christianity in the South, walked away from it in graduate school, and is now researching how psychedelics might offer something the deconstruction space has been missing: a tool for reconstruction. She describes someone close to her who spent years praying out of fear, and after psychedelics only wanted to pray out of gratitude. That single shift, from fear to gratitude, is what many therapeutic outcomes seem to rest on. You'll learn: [0:00] Introduction [3:41] Psychedelics as the fastest method for rewiring rigid beliefs [7:57] Defining consciousness, and whether psychedelics can really expand it [17:30] Predictive processing turns your brain into a protection machine working against you [23:08] Why integration matters and how set and setting predict a bad trip [27:33] Eli Lilly's $3.8 billion DMT bet and why both political sides embrace psychedelics [37:49] Growing up evangelical and using psychedelics to heal religious trauma [50:21] Microdosing versus heroic doses, and the new psychedelics that skip the trip [57:32] Finding your default state of consciousness through silent retreats and breathwork [1:05:56] Which psychedelic calls to Chloe most, and the mystery of ayahuasca's plant intelligence Resources Mentioned: Sky Breath Meditation | Website Art of Living Retreat Center | Website For weekly essays on psychedelics, consciousness, and belief, join Dr. Chloe West's Substack here, or follow her on social media to stay connected. Find more from Dr. Chloe: Dr. Chloe West | Instagram | LinkedIn | Facebook | X | TikTok | YouTube | Substack Find more from Ste: Ste Lane | Instagram Radical Health Radio | Instagram | YouTube Heart and Soil Supplements | Website | Instagram | X | YouTube

On today's episode, Joe and Art discuss today's sharpest moves, MLB action and the futures markets, NFC East, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION01:05 HOW'D THE BOOKS DO LAST NIGHT?02:38 SHARP BETS TODAY03:38 PARLAY OF THE DAY04:29 PREDICTIVE MARKETS: MLB CHAMPION MARKETS | MLB MOST WINS MARKET15:13 NFC EAST PREVIEW | BEST BETS28:20 CFB WIN TOTAL BEST BETS33:41 MLB RUNDOWN

On today's episode, Joe and Prez discuss today's sharpest moves, MLB action, World Series markets, NFC West, Bitcoin, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:35 HOW'D THE BOOKS DO LAST NIGHT?04:51 SHARP BETS TODAY06:31 PARLAY OF THE DAY12:12 PREDICTIVE MARKETS: BITCOIN AT 5PM ET | MLB CHAMPION MARKETS20:53 NFC WEST PREVIEW | BEST BETS29:20 CFB WIN TOTAL BEST BETS34:35 MLB RUNDOWN

On today's episode, Joe, Art and Bryan discuss today's MLB action, AFC East outlook, a trio of longshots to play, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION03:00 HOW'D THE BOOKS DO LAST NIGHT?04:40 SHARP BETS TODAY05:38 PARLAY OF THE DAY08:24 PREDICTIVE MARKETS: MLB CHAMPION MARKET19:08 AFC EAST PREVIEW | BEST BETS31:52 MLB RUNDOWN39:10 LONG SHOT BETS

On today's episode, Joe, Art and Bryan discuss today's MLB action, NFC North outlook, a trio of longshots to play, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION01:14 HOW'D THE BOOKS DO LAST NIGHT?03:29 SHARP BETS TODAY05:08 PARLAY OF THE DAY08:09 PREDICTIVE MARKETS: MLB PLAYOFF QUALIFIER MARKET19:06 NFC NORTH PREVIEW | BEST BETS30:26 MLB RUNDOWN35:53 LONG SHOT BETS

Previous episodes have explored the physical form and function of fascia and its interactions with the nervous and immune systems. Today's conversation ventures into more new territory, exploring the relationships between fascia, flow state, and embodied experience. Host Katja is joined by Fiona Rose Stout PhD, an interdisciplinary researcher, bodyworker, and movement therapist seeking to connect diverse perspectives from neuroscience, creative arts, bodywork, and yoga. Together, Katja and Fiona explore the fascinating relationship between fascia, movement, and nervous system regulation. They discuss why fascia may provide an important biological lens for understanding embodied awareness, how movement practices can cultivate greater adaptability and resilience, and why integrative thinking is essential when exploring trauma, healing, and the mind-body connection. They also unpack a recent opinion article challenging "The Body Keeps the Score," offering a nuanced discussion about predictive coding, fascia, and contemporary trauma science. "There's an experience that happens when you actually feel that connection and that integration." — Fiona Stout. — What You'll Learn: • Introducing Fiona [01:13] • Flow state and why it matters for embodied movement practitioners [04:40] • Fascial fluidity implications for flow state [11:48] • Connections between nervous system regulation, trauma and flow state [15:11] • Supporting fascia with curiosity, varied movement, bodywork, myofascial release [21:03] • A nuanced discussion of "The Body Keeps the Score" [29:05] • Predictive coding and recent article "The body does not keep the score" [37:05] • Why integration, not dualism, may better explain human experience [45:11] • "Different strokes for different folks": final takeaways [50:28] — Links Mentioned: Watch this episode on YouTube Kotler S, Mannino M, Fox G and Friston K (2026) The body does not keep the score: trauma, predictive coding, and the restoration of metastability. Front. Syst. Neurosci. 20:1812957. doi: 10.3389/fnsys.2026.1812957 Yoga Medicine 50hr Myofascial Release Training, Denver, Colorado, October 11-16 Connect with Fiona Stout PhD: PhD Dissertation | Miss Fi Yoga | Instagram | LinkedIn — Learn More: Find the full show notes at YogaMedicine.com/podcast-172. Learn more about insider tips, online classes or information on our teacher trainings at YogaMedicine.com. To support our work, please leave us a 5 star review with your feedback on iTunes/Apple Podcasts or wherever you listen to podcasts. 

On today's episode, Joe and Prez discuss today's sharpest moves. MLB action, NL MVP, the AFC North, Bitcoin, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:30 WE FOUND ART!02:10 SHARP BETS TODAY04:33 PARLAY OF THE DAY05:21 PREDICTIVE MARKETS: BITCOIN 5PM PRICE | NL MVP MARKET13:17 AFC NORTH PREVIEW | BEST BETS23:57 MLB RUNDOWN27:44 LONG SHOT BETS28:34 MAILBAG! VIEWER COMMENTS & QUESTIONS

WHO REALLY CONTROLS AI?Fan favorite and returning guest Ken from the We Are 1 Podcast joins Robert Kalil on Typical Skeptic Podcast #2736 for another wide-ranging journey down the rabbit hole!This time, nothing is off the table.We'll dive into Artificial Intelligence and one of the biggest questions surrounding the technology: Who really controls AI — and who ultimately determines what it is allowed to know, say and do?Is AI simply a tool programmed by human beings, or are we creating something that could eventually operate beyond the intentions of its creators?Ken and Rob will also discuss the mysterious July 8th sunlight phenomenon, robotics and emerging technology, the growing relationship between AI and machines, the Dead Internet Theory, predictive programming, simulation theory, UFO disclosure, technological surveillance and whatever other conspiracies emerge during the conversation.We'll also open things up for LIVE AUDIENCE Q&A, so bring your questions, theories and rabbit holes!TOPICS INCLUDE:

On today's episode, Joe and Prez discuss today's MLB action, college football landscape, the NFC South, Bitcoin, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:38 WHERE IS ART?02:00  SHARP BETS TODAY MLB04:58 COLLEGE FOOTBALL09:29 UPCOMING CFB PREVIEW SHOW09:43 PARLAY OF THE DAY10:32 PREDICTIVE MARKETS: BITCOIN 5PM MARKET17:39 NFC SOUTH PREVIEW | BEST BETS24:40 MLB RUNDOWN26:42 LONG SHOT BETS28:19 MAILBAG! VIEWER COMMENTS & QUESTIONS

On today's episode, Joe and Prez discuss today's MLB action, NFL Week 1, Bitcoin, predictive market betting, parlay of the day and plenty more!00:00 INTRODUCTION00:30 WEEKEND RECAP04:49 UPCOMING SHOW UPDATE04:58  SHARP BETS TODAY12:28  PREDICTIVE MARKETS: BITCOIN 5PM MARKET | AL EAST WINNER MARKET25:52 NFL AFC SOUTH PREVIEW | BEST BETS35:17 MLB RUNDOWN37:20 LONG SHOT BETS