Podcasts about Big data

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In this episode of Technology & Security, Dr. Miah Hammond-Errey is joined by cyber security and governance leader Min Livanidis. They discuss what resilience really means in an AI-enabled environment and how to reframe the conversation: AI risk is often a governance question. From identity and access management to data controls and shared responsibility models, the fundamentals of cyber security remain vital. While new forms of AI introduce probabilistic and agentic risks that require different safety considerations, the scaffolding of resilience—clear governance, structured risk management and technical literacy—has not changed.The conversation reinforces the need for fundamental security controls during technological acceleration. Most successful cyber incidents still exploit basic weaknesses, not advanced AI capabilities. At the same time, AI is amplifying both defensive tools and human vulnerabilities, particularly through scams, impersonation and disinformation. Great security is not expecting perfect human decision-making but designing systems that reduce cognitive load and embed security by design. Ultimately, resilience depends less on hype and more on discipline: clarity of purpose, investment in people, and the consistent application of fundamentals. Her start in intelligence gave Livanidis insight into elements of leadership including curiosity, diversity and how to create a tech capable workforce. Min Livanidis is a cyber security, risk, and governance expert, currently Chief Security Advisor for Public Sector at Microsoft, Chair of the UNSW Institute for Cyber External Advisory Board, Co-Chair of Home Affairs' Resilience Expert Advisory Group, and a former intelligence officer with experience across government and industry. Resources mentioned: Journal Article: Big data, emerging technologies and the characteristics of ‘good intelligence': https://www.tandfonline.com/doi/figure/10.1080/02684527.2023.2287255 // https://miahhe.com/downloads Cognitive Edge podcast: https://share.transistor.fm/s/cfcd90d1

Après avoir dirigé des entreprises technologiques pendant 40 ans et vendu l'éditeur de logiciels financiers E-Front à BlackRock , pour 1,3 milliard de dollars, Olivier Dellenbach, aurait pu s'offrir une retraite dorée bien méritée. Il a choisi tout le contraire. En 2019, il fonde ChapsVision, un projet né de trois motivations : le besoin d'entreprendre, le souhait de créer un champion technologique européen pérenne et une ambition philanthropique. Une partie du capital de l'entreprise est en effet détenue par sa fondation, HappyCap, dédiée au handicap mental, ce qui assure l'indépendance de la structure face à d'éventuels rachats.ChapsVision se positionne comme un spécialiste de l'IA et du Big Data, capable de transformer des volumes massifs de données hétérogènes en informations exploitables. Pour rivaliser avec des géants comme l'américain Palantir, Olivier Dellenbach utilise une stratégie de croissance par acquisitions ultra-rapide, avec déjà 29 entreprises rachetées en cinq ans. Il privilégie la « cyberintelligence » - outils pour les services régaliens et de renseignement - plutôt que la cybersécurité pure, qu'il estime être une bataille déjà perdue face aux acteurs américains et israéliens. Mais les difficultés restent nombreuses pour un acteur comme ChapsVision. Malgré l'excellence des ingénieurs français, Dellenbach déplore les obstacles à l'émergence de champions du logiciel en Europe. Il cite notamment la commande publique défaillante : contrairement à l'Allemagne ou aux États-Unis, l'État français utilise peu ce levier pour soutenir ses industriels. En cause, selon lui, le complexe de l'étranger : une tendance de l'administration à préférer les solutions américaines, jugées plus sûres. Mais aussi la culture du "faire soi-même", ou cette fâcheuse tendance des services publics à vouloir souvent réinventer la roue en interne plutôt que d'acheter des solutions privées existantes. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Elena Gil González es abogada, consultora y profesora universitaria, experta en Derecho digital, privacidad y protección de datos. Es además fundadora de Data Guardians.También es Doctora Cum Laude en Big Data y protección de datos y autora del libro “Big Data, Privacidad y Protección de Datos” por el que recibió el Accésit de Investigación otorgado por la Agencia Española de Protección de Datos). A ello suma haber trabajado en TrustCloud (identidad digital), así como en grandes despachos (Écija, Uría y Menéndez).Referencias:* Data Guardians* Elena Gil González en LinkedIn* Elena Gil: el marco legal de la Inteligencia Artificial (Masters of Privacy, Octubre 2021)* España planea prohibir las redes sociales a los menores de 16 años (New York Times, 3 de febrero de 2026)* Advertencia formal de la AEPD a Tools for Humanity en su anunciado regreso (23 de enero de 2026)* La Liga: “Denuncia emisiones ilegales en bares y locales públicos y recibe 50€”* LaLiga otra vez bajo la lupa de Protección de Datos: la polémica “recompensa” de 50 euros por delatar bares (elDerecho.com, 2 de febrero de 2026). This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

https://www.linkedin.com/in/brian-ogrady/ - my linkedin https://www.linkedin.com/company/qdrant/ - company linkedin https://qdrant.tech/contact-us - contact us https://github.com/qdrant/qdrant/ - Qdrant GH https://github.com/qdrant/qdrant-edge-demo - Qdrant Edge running on smart glasses Mike on LinkedIn Coder Radio on Discord Mike's Oryx Review Alice Alice Jumpstart Offer Vorpal Mike in USA Today

Questa sera andiamo al Centro Nazionale di Ricerca in HPC, Big Data e Quantum Computing (CN-HPC), uno dei cinque nati su altrettante tematiche considerate di interesse strategico per il Paese, costituiti nel 2022 grazie a una dotazione di fondi provenienti dal PNRR. Questo centro nazionale, nello specifico, coordina una serie di competenze e infrastrutture di calcolo e supercalcolo, che afferiscono a varie università e centri di ricerca disseminati nel paese, tra atenei come il Politecnico di Milano e l'Università di Bari e istituti di ricerca come l'INFN e il CNR (che coordina l'iniziativa). Scopo del centro è offrire accesso a queste risorse a PMI, università e centri di ricerca che tipicamente non ne posseggono di propri, e di promuovere l'innovazione. Ne parliamo con Antonio Zoccoli, professore di Fisica presso l'Università degli Studi di Bologna e Presidente della Fondazione ICSC - Centro Nazionale di Ricerca in High-Performance Computing, Big Data e Quantum Computing.

Paul Lane and Marc Fandetti break down a weaker-than-expected retail sales report and explain why a single data point matters far less than long-term economic trends. The hour also previews a critical week of jobs and inflation data, examines the Federal Reserve's policy challenges, puts claims of 15% economic growth into historical perspective, and explores how wealth, labor, and capital are reshaping today's economy.

Muchos tienen el anhelo de crear un círculo Virtuoso de ventas.En esta oportunidad el Comunicador y CEO de Fidelitytools presenta a la Empresa que ganó dos Premios FidelIA. El premio fue una consecuencia del bien hacer por años combinados con la Inteligencia ArtificialEscuchamos a Jorge Spinuzza de @biblosasesores una organización record en ventas y ejemplar en Argentina.Premio FidelIA 2025fidelia.latFidelitytools (24)BigData, Ecommerce, CRM, Proyectos IAfidelitytools.comAquí Conferencia y Entrega de Premios FidelIAhttps://www.youtube.com/live/CCn7bI8JflU?si=UxTg7mpN7xw9-7UKVer Aquí

In this episode:  Dr. Emi Barresi, Tom Bradshaw, Dr. Paul Spector, Rich Cruz, Natasha Desjardines, Nicolas Krueger, Lee Crowson I/O Career Accelerator Course: https://www.seboc.com/job Visit us https://www.seboc.com/ Follow us on LinkedIn: https://bit.ly/sebocLI Join an open-mic event: https://www.seboc.com/events References: Ball, K. (2022). Surveillance in the Workplace: Past, Present, and Future. Surveillance & Society, 20(4), 455–461. https://doi.org/10.24908/ss.v20i4.15805 Bar-Gil, O., Ron, T., & Czerniak, O. (2024). AI for the people? Embedding AI ethics in HR and people analytics projects. Technology in Society, 77, Article 102527. https://doi.org/10.1016/j.techsoc.2024.102527 Clarke, S., Tuckwell, W., & Luck, M. (2025). Professionals and the Ethics of Workplace Surveillance. Journal of Social Philosophy. https://doi.org/10.1111/josp.70000 Clavel, C., d'Armagnac, S., Hebrard, S., Hesters, T., & Potdevin, D. (2025). Humanized AI in Hiring: an empirical study of a virtual AI job interviewer's social skills on applicants' reactions and experience. International Journal of  Human Resource Management, 36(2), 206–234. https://doi.org/10.1080/09585192.2024.2440784 Cross, M. (2024). Stopping the Spying: US Labor Unions' Responses to Electronic Surveillance at Work. Labor Studies Journal, 49(4), 281–304. https://doi.org/10.1177/0160449X241259141 McStay, A. (2020). Emotional AI, soft biometrics and the surveillance of emotional life: An unusual consensus on privacy. Big Data & Society, 7(1), 205395172. https://doi.org/10.1177/2053951720904386 Sánchez Abril, P., Levin, A., & Del Riego, A. (2012). Blurred Boundaries: Social Media Privacy and the Twenty-First-Century Employee. American Business Law Journal, 49(1), 63–124. https://doi.org/10.1111/j.1744-1714.2011.01127.x Sebastian, R. A., Ehinger, K., & Miller, T. (2025). Do we need watchful eyes on our workers? Ethics of using computer vision for workplace surveillance. Ai and Ethics (Online), 5(4), 3557–3577. https://doi.org/10.1007/s43681-025-00726-4 Tursunbayeva, A., Pagliari, C., Di Lauro, S., & Antonelli, G. (2022). The ethics of people analytics: risks, opportunities and recommendations. Personnel Review, 51(3), 900–921. https://doi.org/10.1108/PR-12-2019-0680 West, J. P., & Bowman, J. S. (2016). Electronic Surveillance at Work: An Ethical Analysis. Administration & Society, 48(5), 628–651. https://doi.org/10.1177/0095399714556502 Yam, J., & Skorburg, J. A. (2021). From human resources to human rights: Impact assessments for hiring algorithms. Ethics and Information Technology, 23(4), 611–623. https://doi.org/10.1007/s10676-021-09599-7

In this episode of Molecule to Market, you'll go inside the outsourcing space of the global drug development sector with Pep Gubau, CEO, CTO & Co-Founder at Aizon.   Your host, Raman Sehgal, discusses the pharmaceutical and biotechnology supply chain with Pep, covering:   How working out what not to do very early on led to two successful growth and exit stories. Why surrounding yourself with smarter people is essential to learning, scaling, and long term success. How the industry's underuse of data led to the creation of Aizon, and the challenge of pitching AI back in 2014 when it was anything but fashionable. The critical difference between pharma people building technology versus technology companies trying to do pharma. How pharma and CDMO manufacturing teams should be thinking about digitisation, AI, and transformative technology in a practical, value driven way.   Pep Gubau is the CEO and co-founder of Aizon, and a seasoned tech entrepreneur with four decades of experience and two previously successful companies. He has a unique background as an economist with a foundation in engineering, and he holds several international patents in encryption, data transmission, storage, and processing for regulated cloud environments.   Pep is also a frequent speaker on the impact of Big Data, Machine Learning, and other Artificial Intelligence technologies, sharing insights into how these innovations are transforming regulated industries.   Molecule to Market is also sponsored by Bora Pharmaceuticals, and supported by Lead Candidate. Please subscribe, tell your industry colleagues and join us in celebrating and promoting the value and importance of the global life science outsourcing space. We'd also appreciate a positive rating! 

Check out host Bidemi Ologunde's new show: The Work Ethic Podcast, available on Spotify and Apple Podcasts.In this episode, host Bidemi Ologunde sits down with Sara Dorris, a data & cybersecurity professional about the moments and mindsets that shaped her path into data analytics and cybersecurity. What was she like before the job titles: a builder, an organizer, a detective, or a storyteller? Who first sparked her curiosity about technology, business, and security? Sara reflects on the hard and soft skills she carried from the University of South Florida (Go Bulls!), the advice she'd give her college self, what Big Data taught her about risk, decision-making, and AI's evolving role in data science. They also zoom out to the human side of tech: how do you stay security-aware without living in paranoia, what personal tech boundaries actually help, and what's her take on social media in today's attention economy? Plus, Sara shares three essential skills for breaking into analytics/cyber, one trap to avoid, and practical guidance for career switchers coming from fields like healthcare or the social sciences.Email: bidemiologunde@gmail.comSupport the show

Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by enterprises. Also, having raised a €30 million Series A round led by CapitalG, business identity verification startup Duna is now among the most well-capitalized European startups founded by Stripe alumni. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Michael Lopez, Senior Director of Football Data and Analytics at the NFL, joins the Moneyball team to explain the use of causal inference and drive simulations in shaping the modern game of football. Plus, Eric and Adi explore the mathematical phenomenon of regression to the mean and how it applies to the unprecedented career trajectories of athletes like Carlos Alcaraz and Shohei Ohtani. Hosted on Acast. See acast.com/privacy for more information.

Something I've been mulling over a lot the past couple months is this last point - what do we do if we can't relate to each other? What if our information systems are fundamentally different on a person to person basis? What do we do without a shared set of facts and sense of reality by which to agree upon and then work to address any issue or challenge of concern? To help me better explore this is today's guest, Miah Hammond-Errey. Miah is an expert in national security, emerging technology and leadership and has built a career to date in the investigation of how intelligence is collected, made sense of and used in decision making in high stakes environments.I wanted to chat with Miah to understand how the best in business do this and how that applies to me and the Finding Nature community to help us all chart a course through mis and disinformation, an overwhelming information and data system, and what do we all need to do more of to focus on the signal and shut out the noise. Miah's work is not only vital but accessible for the lay person like me, and her podcast, the Technology and Security Podcast is a fantastic examination of how a world that most of relate to through pop culture like movies and books operates on a day to day basis. Bringing fact to dispel the myths helped me appreciate again the necessity for how we can all do a better job of taking the time to remember that all of us are essentially allies on the same team, that being in right relationship is a fundamental necessity to maintain a stable society, and the consequences of what happens when we don't invest in taking the time and putting in the effort to be curious, open and non-judgemental in trying to appreciate and understand the views and opinions of others - especially those we don't agree with.We cover plenty in this chat, so settle in and prepare to be further educated on how intelligence agencies and systems apply age-old principles of sense making, how new technology is changing the intelligence game, the already present and future threats to nation states and individuals in this new digital age, and what we can and probably must do to play an active role in shaping the information, privacy and digital landscapes we are all participants in.Support for the show comes from:Reposit Power - get $500 off your installationAltiorem - get 25% off your annual subscription with code findingnature25Jamberoo Mountain Farm Tiny Home - get Hot Tub Sunset Package for free when you add Finding Nature to booking comments.For everything Finding Nature, head to our website. Get in contact via info@findingnature.com.auSend me a messageThanks for listening. Follow Finding Nature on Instagram

One of the skills that I see an increasing demand for Business Analysts is data analysis. Especially when “new” tools like Process Mining shift the landscape towards data-driven analysis.And besides the need to learn these new skills, I also see multiple tools that are very pricey and might be cost prohibitive for some organizations, so they fall back to the universal Swiss knife in business… Excel.One of the tools that beats that trend is KNIME, which not only is open-source but also has a great community and great training offerings. Besides the fact that the tool is great, if you have ever watched a video from KNIME you will recognize the voice of our guest, Rosaria Silipo, immediately.Rosaria has been a researcher in applications of AI and Machine Learning for over a decade. Application fields include biomedical systems, IoT, customer intelligence, financial services, social media, cybersecurity, and automatic speech processing. She is currently based in Constance (Germany) / Zurich (Switzerland).In this episode of the podcast, we talk about:Rosaria's background—she brings decades of experience, from early neural networks in the 1990s to shaping the KNIME community.A journey through data science history: hardware limits, Big Data, GPUs, deep learning, and today's AI-driven shift.From building models to consuming and fine-tuning AI: why modern analytics is now more engineering than research.Tool evolution matters: visual, low-code platforms lower the barrier without blocking advanced use cases.Open source as an accelerator: community, shared extensions, education, and faster innovation.Why Excel breaks at scale—and how reproducible data pipelines outperform spreadsheet heroics.KNIME's strength: step-by-step logic, transparency, and workflows you can explain to stakeholders.Education over hype: tools are powerful, but data literacy and validation remain non-negotiable.Rosaria's focus forward: growing AI learning communities and mentoring young entrepreneurs.AI realities: hype is real, but fundamentals still matter—especially for tabular and business data.Community beats lock-in: ecosystems outlast tools and make practitioners better.Final takeaway: better analytics isn't about smarter tools—it's about people, clarity, and shared understanding.You can reach Rosaria via LinkedIn here: https://www.linkedin.com/in/rosaria/. PS: Please reach out to us by either sending an email to hello@whatsyourbaseline.com. And meanwhile, don't forget to subscribe to the What's Your Baseline? podcast on your favorite platform.And if you like what you see here and want to support “the little podcast that could,” please check out our Patreon at https://patreon.com/whatsyourbaseline.

What problem is Japan actually facing with its ageing population? Japan is ageing rapidly, and most of the attention goes to welfare, health, and pension systems. The less-discussed problem is what to do with the "young" oldies—people reaching 60, the retirement age, while still having decades of life ahead of them. Because many are healthy, active, relatively digital, and well-connected, therefore they do not fit the old model of "retire and disappear". They also believe the government pension system will break down under the weight of their cohort's numbers, therefore they do not feel confident about having enough money to last their lifespan. The result is straightforward: they want to keep working, and many can. Mini-summary: Japan's challenge is not only an ageing society, but an ageing workforce that still wants, and needs, to work. Why is "recruit and retain" becoming harder for Japanese companies? Japan's working population aged 15–64 is projected to decline from 73.7 million in 2024 to 44.2 million by 2060, a 40% drop. Because there are not enough younger workers to match corporate demand, therefore the usual hiring playbook fails. At the same time, because the population itself is getting older, therefore the share of experienced people who could keep working increases. This creates a talent paradox: companies are short of people, but they are also pushing capable workers toward retirement. If companies keep treating 60 as an exit point, they will intensify their own labour shortage. Mini-summary: A shrinking 15–64 population means the talent pipeline tightens, and the "retire at 60" habit becomes a business risk. Why is immigration not the main solution being pursued? The script is clear that bringing in foreigners is not considered an option to make up the difference. The Takaishi Cabinet has stated it will never adopt an open immigration policy to solve the labour shortage and will set "strict boundaries". Because immigration is now a big and contentious political topic, therefore the trade-offs feel even sharper. Japan values social harmony highly, and the idea of tolerating large numbers of foreigners with different languages, ethics, morals, social values, and ideas is described as unattractive. Whatever the merits of immigration, the practical point for company leaders is this: they cannot build their workforce plans around it. Mini-summary: If immigration is politically constrained, then the labour shortage must be solved with domestic talent and productivity. What role does the trainee system play, and why is it limited? At lower skill levels, the so-called trainee system has functioned as disguised immigration, bringing in cheap workers from Asia for factory-level work. Because trainees can be repatriated easily, therefore the system has flexibility. However, the system is also attacked for exploitation, and the Labour Standards Inspection Office in 2016 found 70.6% of workplaces hiring foreign trainees were violating labour laws. The government tweaked the system to reduce some of the worst aspects, but trainees remain a temporary approach. They must go home after three years or obtain a work visa. So even where foreign labour exists, it is not a stable, long-term pipeline. Mini-summary: The trainee system can provide short-term labour, but it is temporary and controversial, so it cannot anchor long-term workforce strategy. How are companies handling people who would normally retire at 60? The script points to a common corporate approach: salary drops to half once a person gets to 60, even if they keep working. Because this is a fixed-cost adjustment strategy, therefore it may feel convenient for companies in the short term. But as the bite of not having enough skilled staff becomes more powerful, that thinking must change. If companies need capability, networks, and experience, then a blunt pay-cut model can weaken motivation and reduce the chance that seniors stay engaged and productive. Mini-summary: A standard pay cut at 60 may control costs, but it can undermine retention and productivity when skilled labour is scarce. How is technology being used to avoid the immigration option? Japan is planning to get around the immigration option with technology: Big Data, Artificial Intelligence, robotics, online services, and automation. Retail banking is given as a conservative example. Tokyo Mitsubishi UFJ Bank saw branch visitors drop by 40% from 2007 to 2017, and 10,000 positions were eliminated over a ten-year period. Because customers moved to mobile devices and PCs, therefore service consumption moved online. This shift changes workforce needs: fewer roles tied to physical branches, and more roles that fit a digital service model. Technology is not only replacing tasks; it is reshaping the job mix. Mini-summary: Technology reduces reliance on physical labour by moving service delivery online and automating tasks, especially in conservative sectors like banking. What is the hardest leadership problem with keeping seniors employed? The leadership issue is not simply "keep them". It is how to migrate older workers internally—retaining their networks and experience—while making them more productive in terms of personal output. Leaders want seniors to vacate current leadership roles to make way for the younger generation, but they do not want to lose them at the same time. In banking, older workers who once commanded teams may be asked to move into commission sales arrangements, paid according to productivity. They can work another 10–15 years if they can make the leap to a different role, but that leap is not automatic. Mini-summary: Companies must redeploy seniors into productive roles while opening leadership pathways for younger staff, without losing senior capability. What support do seniors and their managers need to make this work? Seniors may need training in modern sales for new commercial roles, plus support to adjust from being "the boss" to being "one of the troops". Because Japan is a formal hierarchical society, therefore that transition is hard. Mindset shifting is described as the most difficult training at their age and stage, but it can be done. The people leading this group also need excellent people skills. Leaders may need retraining on how to lead their sempai or seniors—an uncommon requirement in Japan, where age is closely tied to power and authority. The workplace becomes a new constellation, and it is described as a zero-sum game of those who get it and those who do not. Mini-summary: The shift demands reskilling, mindset work, and manager retraining—especially for leading older seniors in a hierarchy-driven culture. What is the practical takeaway for executives in Japan? Recruit and retain are described as the bywords of business success now and in the future. The warning is direct: if you have not put together a strategy to motivate seniors to play a more personally productive role, you are behind the eight ball. Because the workforce is shrinking and immigration is constrained, therefore the most realistic pool of near-term capability is already inside the company—among people approaching or past 60. The competitive advantage will come from leaders who can redesign roles, training, pay logic, and leadership pathways to keep seniors contributing while the next generation grows. Mini-summary: In Japan's labour market, senior talent strategy is not optional—it is a core part of "recruit and retain".

In this pair of talks, Fr. Anthony examines why discernment so often fails in the Church—not because of bad faith or lack of intelligence, but because discernment is a matter of formation before it is a matter of decision. Drawing on insights from intelligence analysis, psychology, and Orthodox anthropology, he shows how authority, moral seriousness, and modern systems of manipulation quietly exploit predictable habits of perception, producing confidence without clarity. True discernment, he argues, is neither technical nor private, but ecclesial: formed through humility, ascetic practice, and participation in the Church's communal rhythms, where judgment matures over time through accountability, repentance, and shared life in Christ. --- Talk One: Why Discernment Fails Expertise, Authority, Manipulation, and the Formation of Perception Fr. Anthony Perkins Introduction Brothers, I want to begin today not with Scripture or a Father of the Church, but with a warning—from someone who spent his life studying failure in complex systems. Nassim Nicholas Taleb, in The Black Swan, writes this: "You cannot ignore self-delusion. The problem with experts is that they do not know what they do not know. Lack of knowledge and delusion about the quality of your knowledge come together—the same process that makes you know less also makes you satisfied with your knowledge." (pause) Taleb is talking about intelligence analysts, economists, and technical experts—people who are trained, credentialed, experienced, and entrusted with judgment under uncertainty. But if, just for a moment, you change one word in your mind—from expert to priest—the danger becomes uncomfortably familiar. We wear cassocks instead of suits, but the temptation is the same. Not arrogance. Not bad intentions. But unintentional self-delusion born of taking our calling to serve well seriously. A Necessary Pastoral Safeguard Before we go any further, I want to be very clear—because this matters. Taleb is not accusing experts of pride. He is not describing a moral failure. He is describing what happens to the human mind under complexity. And clergy live permanently in complex systems: human souls suffering families conflicted parishes incomplete information real consequences The danger is not that we don't care. The danger is that experience can quietly convince us that we are seeing clearly—especially when we are not. A Lesson from Intelligence Work When I worked in military intelligence, there was a saying—half joking, half deadly serious: The most dangerous person in the world is an intelligence analyst in a suit. At first, that sounds like gallows humor. But it isn't. The danger wasn't that analysts were malicious. The danger was that analysts don't just possess information—they interpret reality for others. And here's where psychology matters. Robert Cialdini has shown that one of the strongest and most reliable human biases is deference to authority. People are far more likely to accept judgments when they come from someone who looks like an authority—someone in a suit, a lab coat, or standing behind an official desk. Jonathan Haidt adds something crucial: people formed in conservative moral cultures—cultures that value order, continuity, and tradition—are especially inclined to defer to legitimate authority. That's not a flaw. It's one of the strengths of such cultures. It's one of the strengths of our Orthodox culture. But it carries a cost. Because when authority speaks, critical perception often relaxes. And when authority speaks with confidence, coherence, and moral seriousness, people don't just listen. They trust.  And they trust in a way that they, like us - the ones who guide them - feel connected with the truth and the Source of all truth. But in our fallenness our sense of certainty may be driven by something other than a noetic connection with the deeper ontological of truth.  Scripture about the devil appearing as angel of light (2 Cor 11:14-15) and wolves going around in sheep's clothing (Mat 7:15) are not just designed to keep us from trusting everyone who offers to speak a good work; a spiritual meaning is that our own thoughts can be deceptive, appearing as angelic and meek but lacking true virtue. All of this, combined with the seriousness of our calling, should reinforce our commitment to pastor humbly and patiently, erring on the side of gentleness … and trusting in the iterative process of repentance to bring discernment and healing to those we serve. From Suit to Cassock In intelligence work, the suit mattered. In science, it's the lab coat. In the Church, it's the cassock. When a priest speaks—especially confidently, decisively, and with moral gravity—people don't just hear an opinion. They receive guidance. And that means any blind spot—any overconfidence, any unexamined habit of thought—does not remain private. It spreads. Why This Is Dangerous (and Why It Is Not an Accusation) This is where Taleb's insight comes sharply back into focus. The most dangerous situation is not ignorance. It is: incomplete knowledge combined with confidence amplified by authority received by people disposed to trust Taleb is not accusing experts of arrogance. Cialdini is not accusing people of gullibility. Haidt is not accusing conservative cultures of naïveté. They are describing how human beings actually function. And clergy live precisely at the intersection of all three forces: complexity authority moral trust Which means discernment failures in the Church are rarely loud or obvious. They are usually calm, confident, sincere—and despite this, still wrong.  And unfortunately, still dangerous. We are susceptible to the same temptations as everyone else.  In order to serve well, we  need to cultivate a combination of humility and confidence:  confidence because we are called and trained to do this work; humility because we are not experts in everything, are still incompletely formed, and the problems in our communities and in this world are incredibly complex. Another Lesson from Intelligence: this time, counterintelligence The challenge of being right all the time is not just that we can't know everything, but that there are powers of the earth and what I call the marketers of the air that are trying to manipulate us.  And, alas, not matter how serious or smart or well-educated we are, we are still vulnerable to their wiles. During the Cold War, American intelligence analysts and operatives were taught to keep everything they could about themselves private.  This was because we knew that the spy agencies of the Soviet Union were actively collecting information – what we called dossiers - on everyone they could so that they could develop and exploit opportunities to use us. The Soviets didn't need to convert us. They didn't need to convince us. They needed: our habits our reactions our trusted assumptions our unguarded patterns Their dossiers were less about facts than they were about about leverage.  And it worked.  My first assignment in the Army was as an interrogator.  It was a similar deal there.  The work of getting information out of someone gets a lot easier when you have information about them, about their histories, about their fears, about their motivations. And here's the unavoidable turn. Today, advertisers, platforms, and political actors possess dossiers that would have made Cold War intelligence officers and interrogators weep with envy. They know: what angers us what comforts us what affirms us when we are tired when we are lonely what makes us feel righteous And clergy are NOT exempt from their data collection or their use of that data. In fact, we may be especially vulnerable, because we are tempted to mistake moral seriousness for immunity. And advertisers, platforms, and political actors with all their algorithms do not do this alone.  The fallen powers of the air have been studying us and our weakness even longer than Facebook.  More committed men than us – here I think of St. Silouon when he was young – have fallen victim to their machinations.  And now they have more allies and useful idiots working with them than ever. Porn addiction and religious polarization – even within Orthodoxy – show that these allies (BIG DATA and the DEMONS) are having their desired effect. Discernment Is Not Being Bypassed—It Is Being Used Here is the hard truth. Most modern manipulation does not bypass discernment. It uses malformed discernment. It works because: our instincts are trained elsewhere our attention is fragmented our emotional reactions are predictable our confidence exceeds our perception This is not a technology problem. It is not a political problem. It is a formation problem. Psychological Bias Is Not a Moral Failure At this point, I could list all the biases that set us up for failure: confirmation bias availability bias motivated reasoning affect heuristics But that would miss the deeper point. Biases are not bugs. They are features of an untrained mind. And the Church has never believed that the mind heals itself through information alone. Which brings us to the Orthodox diagnosis. Discernment Is Formational, Not Technical In the Orthodox tradition, discernment is not a technique for making decisions. It is the fruit of a formed person. And that formation involves the whole human being and all three parts of the human mind: the gut, the brain, and the heart. The Gut / The Passions This is the fastest part of the mind.  In our default state, it is the real decision-maker. It reacts. It protects. It simplifies. It is trained by repetition, not arguments. If this part of the mind is shaped by: urgency outrage novelty exhaustion Then discernment will always feel obvious—and often be wrong. Orthopraxis trains our gut through the repetition of godly habits: fasting silence patience submission to the deeper rhythms The Brain/Intellect This is where narratives are built. Where reasons are assembled. Where Scripture and Fathers are cited. In our default state, it justifies the decisions and instincts of the gut. It is vulnerable not to ignorance, but to selectivity. This is where proof-texting lives. This is where outliers become weapons. This is where cleverness masquerades as wisdom. And here St. Paul gives us a crucial criterion: "All things are lawful," but not all things are helpful. "All things are lawful," but not all things build up." (1 Cor 10:23) The danger is not that clergy cannot justify what they do. We have big brains and have learned a lot of words. Wecan justify almost anything. The danger is mistaking justifiability for discernment. Orthopraxis here looks like: immersion rather than scanning repetition rather than novelty mastering the middle of the bell curve of tradition rather than its extremes making the perfect words of our worship, prayer books, and Bibles the main texts that we rely on to know what is beautiful, good, and true The Heart / The Nous The nous cannot be controlled. It cannot be optimized. It cannot be forced. It is healed, opened, and attenuated only by grace. In our default setting, our connection with God through the nous is narrow or closed, and we are prone to mistaking the movements of our passions – often called our conscience – for revelation and divine inspiration. Orthopraxis here is simple, but takes time to gain traction: the quieting of the gut and of the brain immersion in worship immersion in prayer time spent in silent awe of God The Quiet Conclusion of Talk One So here is the point I want to leave you with now: Discernment is not something we do when the need to make a decision appears. It is a facility we are developing long before the decision arrives. Taleb helps us see the danger. Intelligence work helps us see the mechanics. Orthodox praxis shows us the cure. But none of this happens alone. Which brings us to the second talk— because discernment is not merely personal. It is ecclesial.   Talk Two: Discernment Is Ecclesial Communion, Authority, and the Social Formation of Perception Introduction Brothers, Earlier, I spoke about why discernment fails. Not because priests are careless. Not because we lack sincerity. Not because we haven't read enough. But because discernment is formational, and formation always happens somewhere—whether we are paying attention or not. Now I want to take the next step. If discernment is not merely a personal skill, then the question becomes unavoidable: Where does discernment actually happen? And the Church's answer has always been the same. Not in isolation. Not in private certainty. But in communion. The Myth of the Independent Discerner Earlier we spoke about discernment as formation—about how perception is trained long before decisions appear. Now I want to push that insight one step further. Because even if a person is well-formed, the Church has never believed that discernment belongs to individual insight alone. And here it is helpful—perhaps unexpectedly—to look at how knowledge actually works in the modern world. A Brief Detour: How We Actually Know Things Some people imagine the scientific method as the triumph of the lone genius. But that is not how science works. Individual scientists propose hypotheses. They run experiments. They notice patterns. But no discovery becomes knowledge until it is: tested by others challenged by peers replicated over time corrected when necessary When science works, it only does so when individual insight is embedded within a community of accountability. Without that community, science collapses into speculation, ideology, or manipulation.  We have seen that very thing happen right before our eyes.  I still hope that the system can be reformed.  But it can't without individual and systematic repentance.  I hope that happens. The Ecclesial Parallel Even at its best, the scientific community is a pale shadow of The Church and its system of both individual and communal discernment. Individual Christians—clergy included—receive insights, intuitions, and perceptions. But those perceptions only become discernment when they are tested: liturgically pastorally communally over time This is why discernment in the Church is never merely private, even when it feels personal. We know this about the Ecumenical Councils, but it needs to be built into the way we live our lives and govern our parishes. Why the Independent Discerner Is a Myth Isolation does not produce wisdom. It produces clarity without the possibility of correction. And clarity without correction feels an awful lot like discernment—especially to the one experiencing it. And surrounding ourselves with people who always agree with us is not better than isolation.  We saw how that affected science when came to the climate and COVID; we can't be so proud as to think we aren't susceptible to the same sort of self-rightous group-think. Authority Does Not Cancel Accountability Earlier we spoke about authority and trust. That deference is part of the deeper harmony. But it creates an asymmetry: the more people trust us, the less likely they are to correct us. All of us need to develop relationships with people who both think differently than we do and whom we can trust to correct us in love and in a way that we can hear.  Ideally this council of advisors includes our wives, confessors, and a cohort of brother priests. Discernment Does Not Reside in a Brain Discernment does not primarily reside in an individual mind. It resides in a body. The Church does not possess discernment as a technique. The Church is the place where discernment occurs. Clergy as Hosts of Discernment When it comes to leadership, clergy are not just decision-makers and teachers. We are witnesses, hosts, and facilitators of discernment. We shape environments. We normalize rhythms. We form what should be said—and what should not. Who are we to have such control?  No one.  We do it in the Name of the one who deserves such power, this must be done humbly and sacrificially – and by sacrificially, I don't just mean the sacrifice of our time but of our ego and sometimes even the sacrifice of our justifiable preferences and opinions.  To paraphrase St. Paul once again, all things may be justifiable, but not all things are useful.  And in another place he makes the same point, saying; "though I speak in the tongues of men and angels, but have not love" it's all just just noise.  And the world doesn't need more noise: it needs signal.  I believe that the fact that we are not smart enough or consistent enough to get everything right all the time is a feature, not a bug.  The people we serve need to see us make mistakes; not so they can see that we are only human (that's pretty obvious), but so that we can truly witness to them what discernment and repentance look like. We shouldn't make a lot of mistakes, and we should certainly avoid making the same one twice, but a zero-defect culture is a cult, not a community.  And cults are neither healthy nor sustainable. The Liturgical Ecology of Discernment Discernment is not trained by intensity. It is trained by ecology.  By immersion into the communal rhythms of orthopraxis. By: developing a relationship with a spiritual father repetition over novelty calendar over urgency fasting over reaction worship over commentary stability over constant motion accepting and sharing the spirit and not just the letter of the guidance given to us by our bishops The Quiet Conclusion of Talk Two The Church does not promise us freedom from error. She promises us a way of life in which error can be healed. Discernment is not a tool for avoiding mistakes. It is a way of learning how to dwell truthfully with God and one another. And that dwelling—like Eden, like the Temple, like the Church itself—is always shared.  

Large-scale optimization and machine learning shape modern data science, and Courtney Paquette, Ph.D., McGill University, studies how to design and analyze algorithms for large-scale optimization problems motivated by applications and data science. Paquette draws on probability, complexity theory, and convex and non-smooth optimization, and examines scaling limits of stochastic algorithms. Speaking with Saura Naderi, UC San Diego, Paquette describes an unconventional path from finance to pure mathematics and explains how persistence and comfort with uncertainty support long-term research. She highlights the challenge of building missing foundations while advancing through graduate training, and she connects that experience to the realities of doing original work. Paquette also reflects on rapid progress in machine learning and frames AI systems as tools that can be used thoughtfully. Series: "Science Like Me" [Science] [Show ID: 41119]

Large-scale optimization and machine learning shape modern data science, and Courtney Paquette, Ph.D., McGill University, studies how to design and analyze algorithms for large-scale optimization problems motivated by applications and data science. Paquette draws on probability, complexity theory, and convex and non-smooth optimization, and examines scaling limits of stochastic algorithms. Speaking with Saura Naderi, UC San Diego, Paquette describes an unconventional path from finance to pure mathematics and explains how persistence and comfort with uncertainty support long-term research. She highlights the challenge of building missing foundations while advancing through graduate training, and she connects that experience to the realities of doing original work. Paquette also reflects on rapid progress in machine learning and frames AI systems as tools that can be used thoughtfully. Series: "Science Like Me" [Science] [Show ID: 41119]

Large-scale optimization and machine learning shape modern data science, and Courtney Paquette, Ph.D., McGill University, studies how to design and analyze algorithms for large-scale optimization problems motivated by applications and data science. Paquette draws on probability, complexity theory, and convex and non-smooth optimization, and examines scaling limits of stochastic algorithms. Speaking with Saura Naderi, UC San Diego, Paquette describes an unconventional path from finance to pure mathematics and explains how persistence and comfort with uncertainty support long-term research. She highlights the challenge of building missing foundations while advancing through graduate training, and she connects that experience to the realities of doing original work. Paquette also reflects on rapid progress in machine learning and frames AI systems as tools that can be used thoughtfully. Series: "Science Like Me" [Science] [Show ID: 41119]

In this episode of Technology & Security, Dr Miah Hammond-Errey is joined by Major General Mick Ryan to examine how emerging technologies are reshaping war, alliances, and societies at a moment of profound global uncertainty. Ryan argues that the post-World War II order has ended, leaving democracies in an interregnum characterised by growing chaos. Against this backdrop, technology—from AI and autonomous systems to information and cognitive warfare—is not removing friction from conflict, but accelerating it, widening its surface area, and increasing the consequences of strategic misjudgement.Drawing on his recent work, Ryan explores lessons from Ukraine as a laboratory for contemporary conflict, emphasising that the most transformative shift is not drones or AI, but the speed at which societies and institutions can learn and adapt. This episode examines the changing role of alliances, the tension between values and interests, the risks of over-reliance on technology without organisational reform, and the ethical limits of AI in decision-making. The conversation concludes with an assessment of national resilience—economic, cyber, physical, and societal—and the need for clearer public conversations about risk, preparedness, and the responsibilities of citizenship in an increasingly contested world.Major General Mick Ryan (Ret'd) is a former senior Australian Army commander and leading analyst of war, strategy, and emerging technologies, currently a Senior Fellow at the Lowy Institute and Fellow at the Center for Strategic and International Studies (CSIS).

Large-scale optimization and machine learning shape modern data science, and Courtney Paquette, Ph.D., McGill University, studies how to design and analyze algorithms for large-scale optimization problems motivated by applications and data science. Paquette draws on probability, complexity theory, and convex and non-smooth optimization, and examines scaling limits of stochastic algorithms. Speaking with Saura Naderi, UC San Diego, Paquette describes an unconventional path from finance to pure mathematics and explains how persistence and comfort with uncertainty support long-term research. She highlights the challenge of building missing foundations while advancing through graduate training, and she connects that experience to the realities of doing original work. Paquette also reflects on rapid progress in machine learning and frames AI systems as tools that can be used thoughtfully. Series: "Science Like Me" [Science] [Show ID: 41119]

Intelligence Briefing Notes:WEF: 4IR- Shift 11: Big Data for Decisions 2025-2030For those who would like to financially support and contribute to the enhancement of this podcast show its Research and Educational Programmes send all funds and gifts to:[$aigner2019 (cashapp)] or [https://www.paypal.me/Aigner2019] or [Zelle (1-617-821-3168).]Shalom Aleikhem!

פרק מספר 511 של רברס עם פלטפורמה, שהוקלט ב-18 בינואר 2026. אורי ורן מקליטים בכרכור (הגשומה והקרה) ומארחים את נמרוד וקס - CPO ו-Co-Founder של BigID - שחצה את כביש 6 בגשם זלעפות כדי לדבר על אתגרים טכנולוגיים בעולם המופלא של Data Production ו-Security.

Every click, search, and online purchase feeds the data economy, driving AI, global business, and even political campaigns. But with risks growing in the private and public spheres, is Big Data advancing society or undermining its foundations? Supporters argue Big Data powers innovation by fueling breakthroughs in medicine, public health, and everyday efficiency. Yet critics warn that it erodes privacy, concentrates power, and threatens democracy. In the age of algorithms and analytics, is Big Data a necessary innovation or a dangerous intrusion?  Arguing "Innovation": Kenneth Cukier, Deputy Executive Editor at The Economist   Arguing "Intrusion": Carissa Véliz, Associate Professor at the Faculty of Philosophy and the Institute for Ethics in AI at the University of Oxford  Xenia Wickett, Geopolitical strategist, moderator at Wickett Advisory, and Trustee of Transparency International UK, is the guest moderator.  Join the conversation on our Substack—share your perspective on this episode and subscribe to our weekly newsletter for curated insights from our debaters, moderators, and staff. Follow us on YouTube, Instagram, LinkedIn, X, Facebook, and TikTok to stay connected with our mission and ongoing debates. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today I'm joined by Brian Macdonald, CEO & President of CDK Global. We explore the massive scale of the CDK's automotive data ecosystem and what it means to have a touchpoint with nearly 90% of car owners in the country. Brian breaks down how dealers can transform this historical database into a functional asset to improve operations and capture market share. This conversation reveals the strategic power of connectivity in an increasingly data-driven industry. This episode is brought to you by: 1. Lotlinx - What if ChatGPT actually spoke dealer? Meet LotGPT — the first AI chatbot built just for car dealers. Fluent in your market, your dealership, and your inventory, LotGPT delivers instant insights to help you merchandise smarter, move inventory faster, and maximize profit. It pulls from your live inventory, CRM, and Google Analytics to give VIN-specific recommendations, helping dealers price vehicles accurately, spot wasted spend, and uncover the hottest opportunities — all in seconds. LotGPT is free for dealers, but invite-only. Join the waitlist now @ http://Lotlinx.com/LotGPT 2. OPENLANE - The world's best online dealer marketplace for used cars, bringing you exclusive inventory, simple transactions, and better outcomes. Learn more @ http://openlane.com/cdg 3. Nomad Content Studio - Dealers—big news. CDK just leveled up their CRM in a massive way. We're talking next-gen AI baked right into your daily workflow: Automatically following up with internet leads, surfacing buyer insights, and giving you instant AI-generated summaries of every customer interaction—no more digging through notes. And CRM Video is here. Record, send, and track personalized videos to customers—all inside the CRM. Check out the AI enhanced CDK CRM: Visit @ AI enhanced CDK CRM to learn more. Check out Car Dealership Guy's stuff: For dealers: CDG Circles ➤ ⁠⁠https://cdgcircles.com/⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dealership recruiting ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgrecruiting.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fix your dealership's social media ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.trynomad.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For industry vendors: Advertise with Car Dealership Guy ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgpartner.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Topics: 00:55 What is Google Syndication? 01:35 What are Brian's bold predictions? 02:35 What is the current dealer economy? 04:29 What are the affordability trends? 06:29 How is AI innovating the industry? 07:12 What are CDK's data solutions? 18:31 What are the future industry predictions? Car Dealership Guy Socials: X ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠x.com/GuyDealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

 On this week's pod, host and SBJ media reporter Austin Karp looks into what a potential CFP format expansion would mean for interested media. Sticking with college, the hardwood is heating up and so are audience numbers, as Karp shares why the Big Ten Network isn't just relying on football for a record start.  Plus, with the NFC and AFC championship games set for Sunday, NFL media chief Hans Schroeder dishes on the matchups, plus where things stand on media rights and Nielsen's Big Data. 00:55 CFP RECAP 01:45 FIRST TRIP TO TGL 03:27 CFP EXPANSION? 05:20 HANS SCHROEDER INTERVIEW 23:17 KARP'S CORNER Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Las predicciones están presentes en casi todos los aspectos de nuestra vida, desde los deportes, pasando por la política y las decisiones médicas hasta cosas más triviales de la vida cotidiana. Con la explosión de la tecnología digital, Internet y los "Big Data", la ciencia de los pronósticos está floreciendo. ¿Pero por qué algunas predicciones tienen un éxito espectacular mientras que otras fallan estrepitosamente?

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Michael Topol, Co-founder and Co-CEO at MGT Insurance, explains why insurance is quietly becoming one of the most interesting data and AI problems in tech.We get practical about turning messy legacy data into usable signals, how agentic tools change decision making, and why culture and team design matter as much as the models.MGT Insurance is building a fully verticalized AI and agentic native insurance company for small businesses, pairing experienced insurance operators with top tier technologists. Michael breaks down what changed in the last few years that makes real disruption possible now, and what modern product delivery looks like when prototyping is cheap and iteration is fast.Key takeaways• Insurance is a data business at its core, but most incumbents cannot use their data fast enough because it lives across silos, mainframes, and old systems.• Modern AI lets teams combine internal data with public signals to speed up underwriting and improve consistency, without losing human judgement.• Vibe coding and rapid prototyping collapse the gap between idea and implementation, bringing product, engineering, and the business closer together.• Senior talent gets more leverage in an AI driven workflow, and small teams can ship faster by focusing on problem solving, not just building.• Pod based teams, fixed outcome planning, and strong culture help regulated companies move quickly while staying inside the rules.Timestamped highlights00:44 What MGT Insurance is, and what “AI and agentic native” means in practice02:09 Why small business insurance matters more than most people realize06:06 The real blocker for incumbents, data exists but it is not usable08:55 Vibe coding in a regulated industry, where it helps first12:54 Requirements are shifting, prototypes bring teams closer to the real problem17:26 The pod structure, plus the Basecamp inspired approach to scoping and shipping20:52 Better, faster, cheaper, why AI finally makes all three possible22:11 Where to connect, and who they are hiringA line you will remember“Insurance is really just a big data problem.”Pro tips you can steal• Build cross functional pods early, include a domain expert, a technical product lead, and a senior engineer from day one.• Scope for outcomes, not perfect specs, then let the team decide the depth as they build.• Use AI to automate collection and synthesis, then keep humans focused on the decisions and trade offs.Call to actionIf you enjoyed this one, follow the show and share it with a builder who is trying to ship faster with a smaller team.

What does sovereignty actually mean? This week, Technology Now dives into the world behind the words, exploring the reality versus the fantasy of data and technological sovereignty. We ask how definitions can change across location, and why this is important to understand when trying to work across boarders. Sana Kharegani, Chief Strategy Officer at Carbon3.AI tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Sam Jarrell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Sana:https://www.linkedin.com/in/sana-khareghani-4346771/?originalSubdomain=ukSources:https://gdpr-info.eu/issues/fines-penalties/https://www.dataversity.net/articles/brief-history-cloud-computing/https://www.kiteworks.com/risk-compliance-glossary/data-sovereignty-protecting-our-digital-footprint-in-the-age-of-information/https://gdpr.eu/what-is-gdpr/

L'intelligenza artificiale deve sostituire l'uomo o potenziarlo? In questa puntata ospitiamo Francesco Rosi, founder di Natzka, imprenditore con oltre 30 anni di esperienza nel software. Rosi smonta l'hype delle startup moderne prive di basi concrete e ci spiega il modello della "Decision Intelligence": un cerchio perfetto tra dati interni ed esterni, modelli interpretativi e processi decisionali. In questo episodio di CEO INSIGHTS, scopriamo perché il concetto di "Human in Control" è fondamentale per evitare disastri legali e come una piccola realtà agile può battere giganti come Palantir usando la "fionda" della velocità. Learn more about your ad choices. Visit megaphone.fm/adchoices

On episode 6 of Data Renegades, CL Kao and Dori Wilson speak with Roger Magoulas about the real bottlenecks holding data organizations back. From the origins of “big data” to today's explosion of tools and pipelines, the conversation focuses on why understanding, semantics, and communication matter more than ever. The episode is a call to shift from constant firefighting toward curiosity-driven insight.

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In today's show, BAILeY, your semi-sentient hostess with the mostest metadata, teams up with Frank La Vigne to welcome the ever-insightful Andrew Brust for a deep dive into the evolving Microsoft data ecosystem. From nostalgic tales of Windows history and scoring elusive Clippy swag at Ignite, to unraveling what makes Microsoft Fabric a game-changer for data integration, AI, and governance, this episode covers it all.You'll hear firsthand how Microsoft's innovation goes far beyond the tech itself—focusing on seamless integration, unified billing, and organizational synergy. Andrew Brust sheds light on the journey from fragmented Azure services to the unified vision of Fabric, the rise of generative AI and “agentic” intelligence, and the increasingly important role of data sovereignty and governance in today's regulatory landscape.Whether you're a data enthusiast, an AI tinkerer, or just in it for the nostalgia, grab your headphones and get ready for insights, laughs, and more acronyms than you can shake a dataset at. Stay curious and caffeinated—this episode has something for everyone!Time Stamps00:00 Microsoft Expertise and Industry Analysis03:18 "Big Data and Analytics Insights"08:31 Power BI's Rise in Azure12:26 "Unified Fabric-Based Data Platform"14:01 "Fabric IQ Powers AI Integration"17:24 "Achieving Synergy Against Odds"23:32 "Unified Compute for Seamless Integration"24:41 "Overwhelmed by AWS Complexity"28:21 "Microsoft Research Powers Azure Fabric"34:20 "Azure Foundry and Tools"37:33 "Flexibility Beyond Major Cloud Providers"41:33 Global Data Privacy Trends45:13 "Governance for Agentic AI"47:29 "Azure Stack and Local Clouds"50:13 "Kubernetes: The Cloud Caveat"53:40 "Let's Reconnect and Reminisce"

Damion 2026 PredictionsThe "Ghost Board" MovementFollowing the 2025 retreat from ESG, a major S&P 500 company (likely in the energy or defense sector) will successfully petition to keep its director bios private for "national security” or “personal safety reasons"Trend starts at a Big Data company using China as an excuse with a single, government-connected director whose identity is kept secret for “national security reasons”By mid-2026, "blind governance" becomes a trend where investors vote for directors identified only by a serial number and a list of "alpha-generating achievements"The “Ghost Board” movement ultimately backfires as shareholders start to vote against subpar achievementsBlackRock and State Street scrap public stewardship for private, encrypted channels with board chairs—Welcome to Dark GovernanceThe 100% Variable Pay CEOCEO Pay routinely targets $1B+ packages, using 100% “at-risk” pay as an excuseThe Rise of "Corporate Sovereignty" ZonesThink the SpaceX "Starbase" model: a major tech or manufacturing firm will strike a deal with a poor red state (like West Virginia or Mississippi, et al) to create a "Special Innovation District" or some other made up name likeAdvanced Innovation ZoneStrategic Innovation CorridorFreedom Technology DistrictAnti-DEI, Pro-ROI Innovation ParkInside these zones, the company provides the police, the utilities, and the "credits/scrip" used at the grocery storeThis revival of the 19th-century company town uses the excuse of "infrastructure efficiency" or “ESG-free zone”The Death of the “Public” Annual MeetingAfter the 2025 proxy season proved shareholders could still be annoying, companies codify mandatory virtual-onlyAI moderators pre-screen questions for “civility” and “relevance,” eliminating most investor dissentShareholders wishing to speak must demonstrate ownership of $1M+—because democracy is not for impoverished nunsElon Musk formally steps back from day-to-day operations at Tesla but calls it an “AI-enabled leadership leverage” and not a full resignation and thus keeps his pay package, with full board approval.Multiple large companies stop using the word “independent” in director bios, replacing it with “objective” or “experienced” or “industry-aligned” or “deeply informed.”Like Europe, board chairs increasingly become the primary public voice on operational and governance issues instead of CEOs, leading to a significant increase in chair pay.A sharp increase in director pay follows due to “heightened complexity and security issues.”The Jay Hoag effect: companies start to exclude attendance data from proxy statements.A company ties massive NEO bonuses to “AI adoption speed,” which becomes completely discretionary and unmeasurable. Starts in Big Data and then happens everywhereMatt 2026 PredictionsWill happen:Sam Altman is caught lying to investors (and no one cares)30% of the S&P 500 will seek to implement a “retail voting” program by the fallHighest retail vote companies: Tesla (~30%), Intel (~30%), AT&T (~30%), Exxon (~30%), Apple (~30%), Pfizer (~30%), Verizon (~25%) - real paragons of board independenceCompanies where executives are suggesting college degrees or elite college degrees are “stupid” do not stop hiring largely from pools of people who have college degrees and/or went to elite colleges25% of CEO pay packages in the US move to “3 year vesting, pretend moonshot, billion plus, no clawback, no strings”Jay Hoag will not be voted off the Netflix boardIn the absence of engagement, precatory proposals, or other shareholder rights, there is one thing for shareholders left: vote no on director campaigns from NON ACTIVISTS (by which I mean institutional investors / pension funds with less than 5% or 13G filers)Specifically - there will be a 150% increase in exempt solicitationsAt least 10% of US large cap companies will have AI “board advisors” - bots that advise boards on legal and governance issuesCould happen:Mass labor movementThe 2025 “badge of honor” that was layoffs, the absolute bonanza of CEO pay, the explosion of “AI billionaires” and “AI took your job” stories, and the attempt to crush labor rights will escalate into the first violent confrontation between employees and their corporate overlordsWidespread strikes will hit, but in the least likely of places: tech and finance, where employees are replaced with AI faster than in other sectorsNatural outgrowth of the “it's someone else's fault” movement - everything is someone else's fault, not management's fault, with the primary culprit of lazy employees - we fired you and it's your fault, not oursThe anti-woke go woke and realize how much data they don't have, but need, to be anti-wokeAt least 1 large company announces it will no longer produce any employee metrics at all, not the count of employees, the names of executives (except where demanded by regulation), or any information that people work thereWith Oracle pioneering the co-Vice Chair and co-CEO roles on the board, and Target pioneering the underperforming executive chair, we see the first round of “Co-Executive Chairs” where the new ex-CEO stays on the board just under the old ex-CEOSeems absurd, but entirely possible:The first billion dollar option pay package for a non-executive director (7 year vest, zero at risk for performance)JPMorgan's new AI proxy voting robot starts an activist campaign seeking to vote out the Tesla boardA US board pays a “retention bonus” worth $20m in options due to the threat of Trump administration intervention and the CEO is close with the administrationExxon will add “shareholder demands” as a risk in their annual report

Welcome to The Chrisman Commentary, your go-to daily mortgage news podcast, where industry insights meet expert analysis. Hosted by Robbie Chrisman, this podcast delivers the latest updates on mortgage rates, capital markets, and the forces shaping the housing finance landscape. Whether you're a seasoned professional or just looking to stay informed, you'll get clear, concise breakdowns of market trends and economic shifts that impact the mortgage world.In today's episode, we look at President Trump instructing his representatives to buy $200 billion of mortgage bonds. Plus, Robbie sits down with loanDepot's Jeff Dergurahian for a discussion on the key data shaping 2026 forecasts, challenges to market consensus on rates and volume, and how originators can translate economic uncertainty into trusted, client-centric guidance. And we close by reviewing what December payrolls reveal about the Fed's rate path.

Sección Inteligencia en Estado Puro con nuestro experto en IA aplicada al sector inmobiliario, Carlos Álvarez Ramallo nos trae como invitado a Carlos Olmos de Frutos, fundador de OM Live, una plataforma que trabaja en la intersección entre vivienda, datos y capital institucional y también fundador de Urban Data Analytics, una de las primeras compañías europeas en compilar, analizar y aplicar Big Data al sector inmobiliario. Con ellos vamos a hacer balance del 2025 y ¿Qué tendencias tecnológicas marcarán el futuro del real estate en 2026?

Today we're breaking down Databricks, a $130B private company that helps companies collect, store, and process very large amounts of data, and then use that data to run analytics and train machine learning models. Databricks sits in the middle of modern data systems, connecting raw data pipelines to the tools teams use to analyze information and build AI. If you've worked on large-scale data or AI projects, there's a good chance Databricks was part of the stack, often operating behind the scenes. My guest is Alan Tu, portfolio manager and analyst at WCM Investment Management, which invested in Databricks in late 2024. Alan explains what Databricks actually does for customers, why it remains one of the least understood large private software companies, and how its academic origins and founding team shaped its evolution from an early data-engineering product into a broad commercial platform. We also discuss common misconceptions about the business, how Databricks fits into the modern AI stack, what has changed since the last time we covered the company, and how its scale, product strategy, and capital position differentiate it from competitors. Note: This conversation was recorded on December 10, 2025, so all numbers are reflective of what was publicly available on that date. Please enjoy this breakdown of Databricks. For the full show notes, transcript, and links to the best content to learn more, check out the episode page⁠⁠⁠⁠⁠⁠⁠ here.⁠⁠⁠⁠⁠⁠⁠ —- This episode is brought to you by⁠⁠⁠⁠ ⁠Portrait Analytics⁠⁠⁠⁠⁠ - your centralized resource for AI-powered idea generation, thesis monitoring, and personalized report building. Built by buy-side investors, for investment professionals. We work in the background, helping surface stock ideas and thesis signposts to help you monetize every insight. In short, we help you understand the story behind the stock chart, and get to "go, or no-go" 10x faster than before. Sign-up for a free trial today at⁠⁠⁠⁠ ⁠portraitresearch.com⁠⁠⁠⁠⁠ — Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit⁠⁠⁠⁠⁠⁠⁠ joincolossus.com/episodes⁠⁠⁠⁠⁠⁠⁠. Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠). Timestamps  (00:00:00) Welcome to Business Breakdowns (00:02:34) Introducing Databricks and Guest Alan Tu (00:03:22) Understanding Databricks' Core Functionality (00:09:15) The Founding Story of Databricks (00:23:54) Databricks' Evolution and Product Expansion (00:30:06) Databricks vs. Snowflake: Market Competition (00:35:36) Databricks' Strategic Vision and Market Impact (00:38:14) The Rise of Big Data and Databricks' Core Value (00:39:27) Understanding Databricks Through a Credit Card Fraud Use Case (00:44:35) Databricks' Role in AI and Machine Learning (00:51:12) The Competitive Landscape and Cloud Partnerships (00:54:54) Financial Dynamics and Pricing Strategies (01:09:37) The Future of Databricks: Risks and Long-Term Vision (01:12:54) Conclusion and Final Thoughts

"A Revolution That Will Transform How We Live, Work and Think"

Mike's Year End Post (https://dominickm.com/2025-year-end-retrospective/) Mike on LinkedIn (https://www.linkedin.com/in/dominucco/) Mike's Blog (https://dominickm.com) Show on Discord (https://discord.com/invite/k8e7gKUpEp) Alice Promo (https://go.alice.dev/data-migration-offer-hands-on) Dreamcast assorted references: Dreamcast overview https://sega.fandom.com/wiki/Dreamcast History of Dreamcast development https://segaretro.org/HistoryoftheSegaDreamcast/Development The Rise and Fall of the Dreamcast: A Legend Gone Too Soon (Simon Jenner) https://sabukaru.online/articles/he-rise-and-fall-of-the-dreamcast-a-legend-gone-too-soon The Legacy of the Sega Dreamcast | 20 Years Later https://medium.com/@Amerinofu/the-legacy-of-the-sega-dreamcast-20-years-later-d6f3d2f7351c Socials & Plugs The R Podcast https://r-podcast.org/ R Weekly Highlights https://serve.podhome.fm/r-weekly-highlights Shiny Developer Series https://shinydevseries.com/ Eric on Bluesky https://bsky.app/profile/rpodcast.bsky.social Eric on Mastodon https://podcastindex.social/@rpodcast Eric on LinkedIn https://www.linkedin.com/in/eric-nantz-6621617/

The GoGaddis Real Estate Radio Show with Cleveland (Cleve) Gaddis | Market Myths & Media Noise Presented by Modern Traditional Realty Group www.moderntraditionsrealty.com Transparency, Accuracy, and Global Renting Is the information you see on Zillow always the full story? In this 12-minute segment, we dive into a major shift in how the nation's largest real estate platform displays data and provide a practical guide for landlords working with international tenants. The Zillow Climate Data Shake-up: We discuss why Zillow recently pulled climate risk data—such as flood and wildfire scores—from its listings after accuracy concerns were flagged by the CRMLS. Learn why platforms like Redfin and Realtor.com are making a different choice and what this means for your next home purchase. Accuracy vs. Transparency: Understand the risks of relying on modeled environmental scores and why Zillow is prioritizing data verification over potentially misleading buyers. The International Landlord's Guide: We answer a critical listener question regarding rental documents for non-citizen tenants without a Social Security number. We break down the essential paperwork you need to collect—from Passports and I-94 records to international credit reports—to protect your investment. In a world of "Big Data," knowing which information to trust is vital. This episode empowers Atlanta homeowners and investors to look beyond the screen and understand the "why" behind the numbers, ensuring you make real estate decisions based on facts, not just formatted scores. The insights shared on the show reflect the same guidance provided daily by Modern Traditional Realty Group. If you'd like a no-pressure conversation about your home's value, equity position, or the right timing for your next move, visit ModernTraditionalRealtyGroup.com or to connect with Cleve and submit questions for future segments, visit GoGaddisRadio.com.

First, CTV: The VAB has a bone with pick with Nielsen about its Big Data ratings, and Pinterest and TVScientific pair up. Then: Google Ad Manager is making changes in the EU, from getting rid of Unified Pricing Rules to integrating with Prebid and sharing more data with publishers.  

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In this episode, we look at the actuarial principles that make models safer: parallel modeling, small data with provenance, and real-time human supervision. To help us, long-time insurtech and startup advisor David Sandberg, FSA, MAAA, CERA, joins us to share more about his actuarial expertise in data management and AI. We also challenge the hype around AI by reframing it as a prediction machine and putting human judgment at the beginning, middle, and end. By the end, you might think about “human-in-the-loop” in a whole new way.• Actuarial valuation debates and why parallel models win• AI's real value: enhance and accelerate the growth of human capital• Transparency, accountability, and enforceable standards• Prediction versus decision and learning from actual-to-expected• Small data as interpretable, traceable fuel for insight• Drift, regime shifts, and limits of regression and LLMs• Mapping decisions, setting risk appetite, and enterprise risk management (ERM) for AI• Where humans belong: the beginning, middle, and end of the system• Agentic AI complexity versus validated end-to-end systems• Training judgment with tools that force critique and citationCultural references:Foundation, AppleTVThe Feeling of Power, Isaac AsimovPlayer Piano, Kurt VonnegutFor more information, see Actuarial and data science: Bridging the gap.What did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.

Episode 406 of The VentureFizz Podcast features Bill Simmons, serial entrepreneur and Co-Founder of Orbit.me and DataXu. I'm going to use the cliché: Bill actually is a rocket scientist. His background is in aerospace engineering, he holds a PhD from MIT, and he worked on 13 space missions. In addition, he was part of a major Government competition for simulating options for space travel to Mars. His team simulated 35 billion possible options to generate 1,100 different Mars missions that were all feasible. This groundbreaking technology that leverage Big Data, which we now recognize as AI and machine learning, launched his first company, DataXu, in 2008. DataXu became a pioneer in the programmatic ad platform category and raised over $87M in funding. The company scaled as a major player in the Boston tech scene, and was acquired by Roku in 2019. Now, Bill is tackling a challenge we all likely face with his new startup, Orbit.me. Information is scattered across texts, multiple email inboxes, LinkedIn, WhatsApp, and social apps—it's impossible to keep track of what matters. Orbit.me is a perfect use case for AI, organizing your scattered messages into “Orbits” which are dedicated spaces built around the real contexts of your life, like parenting, work, or other important matters. Chapters: 00:00 Introduction 02:41 Current Status of Space Travel & Mars 08:34 Bill Simmons Background Story 10:21 Academic Experience 13:12 Space Missions including Mars Research 17:19 How DataXu Came to Fruition & Focus on AdTech 20:03 Scaling DataXu & Market Strategies 23:15 The Competitive Landscape of AdTech 26:20 The Technology Behind Real-Time Bidding 29:49 Building DataXu's Culture During Growth 32:51 DataXu Acquisition by Roku 35:54 The Transition to Product Management & Experience at The Trade Desk 37:13 The Details of Orbit.me 43:07 The Team Behind Orbit.me 48:58 The Evolving Role of Software Engineers in the AI Era 52:01 Lightening Round Questions

FOLLOW RICHARD Website: https://www.strangeplanet.ca YouTube: @strangeplanetradio Instagram: @richardsyrettstrangeplanet TikTok: @therealstrangeplanet EP. #1289 THE GENOME GRAB: How Government, Big Tech & Big Medicine Are Claiming Your Child's DNA Tonight on Strange Planet, we expose a quiet revolution unfolding in American medicine — one that could redefine parenthood, privacy, and human identity itself. The U.S. government, backed by Big Medicine, Big Tech, and Big Data, is laying the groundwork for mass newborn genome sequencing: decoding nearly every letter of a child's DNA at birth and storing it indefinitely. Attorney and child-welfare advocate Leah Wilson joins me to reveal how this program works, who profits, and why parents may soon lose control over their children's biological destiny. This isn't science fiction. It's happening now — and the stakes couldn't be higher. GUEST: Leah Wilson, JD, is an attorney, child-welfare advocate, and co-founder of Stand for Health Freedom, the organization currently suing the CDC in a landmark challenge to federal vaccination policy. She is one of America's most fearless voices exposing how genomic data is harvested, stored, and weaponized under the banners of “precision medicine” and “public health.” Wilson is also co-author of Reclaim Vitality, written with her husband, Dr. Nick Wilson, revealing how families can exit the machinery of conventional medicine. Her work uncovers a chilling reality: a global genetic arms race is already underway — and our children are on the front lines. WEBSITE: https://askdrwilson.libsyn.com BOOK: Reclaim Vitality: A Guide to Exit Conventional Medicine and Live Naturally SUPPORT OUR SPONSORS!!! FOUND – Smarter banking for your business Take back control of your business today. Open a Found account for FREE at Found dot com. That's F-O-U-N-D dot com. Found is a financial technology company, not a bank. Banking services are provided by Lead Bank, Member FDIC. Join the hundreds of thousands who've already streamlined their finances with Found. HIMS - Making Healthy and Happy Easy to Achieve Sexual Health, Hair Loss, Mental Health, Weight Management START YOUR FREE ONLINE VISIT TODAY - ⁠HIMS dot com slash STRANGE⁠ ⁠https://www.HIMS.com/strange⁠ MINT MOBILE Premium Wireless - $15 per month. No Stores. No Salespeople. JUST SAVINGS Ready to say yes to saying no? Make the switch at MINT MOBILE dot com slash STRANGEPLANET. That's MINT MOBILE dot com slash STRANGEPLANET BECOME A PREMIUM SUBSCRIBER!!!⁠ ⁠https://strangeplanet.supportingcast.fm⁠ Three monthly subscriptions to choose from. Commercial Free Listening, Bonus Episodes and a Subscription to my monthly newsletter, InnerSanctum. Visit ⁠https://strangeplanet.supportingcast.fm⁠ Use the discount code "Planet" to receive $5 OFF off any subscription. We and our partners use cookies to personalize your experience, to show you ads based on your interests, and for measurement and analytics purposes. By using our website and services, you agree to our use of cookies as described in our Cookie Policy. Learn more about your ad choices. Visit ⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://strangeplanet.supportingcast.fm/

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John Pollock and Brandon Thurston unpack the effect Big Data + Panel is having on the professional wrestling industry, and a blistering response from CW on the new methodology. Topics this week include:Big Data + Panel reporting by Brandon Thurston, including CW's response Comparisons using the old and new methods for WWE & AEW Significant updates in the WWE shareholder lawsuit Vince McMahon's phone given back by the feds AJ Lee and Stephanie McMahon discuss equal Lucha Libre AAA signs TV deal in Latin AmericaTony Khan on the length of AEW's pay-per-viewNetflix sees spike for John Cena's Final RawMusic courtesy: “Panic Beat” by Ben TramerPOST WrestlingSubscribe: https://postwrestling.com/subscribePatreon: http://postwrestlingcafe.comForum: https://forum.postwrestling.comDiscord: https://discord.com/invite/Q795HhRMerch: https://store.postwrestling.comTwitter/Facebook/Instagram/YouTube: @POSTwrestlingBluesky: https://bsky.app/profile/postwrestling.comWrestlenomicsSubscribe: https://wrestlenomics.com/podcast/Patreon: https://patreon.com/wrestlenomicsSubstack: https://wrestlenomics.substack.com/Twitter/Facebook/Instagram/YouTube: @WrestlenomicsBluesky: https://bsky.app/profile/wrestlenomics.comOur Sponsors:* Check out Progressive: https://www.progressive.com* Check out Uncommon Goods: https://uncommongoods.com/postwrestlingAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Our digital lives are increasingly dominated by a handful of powerful tech platforms. Once promising prosperity and democracy, the internet has instead allowed companies like Google, Amazon and Meta to extract money, data and attention from users on an unparalleled scale. Tim Wu, a former technology advisor to President Biden, argues that the government is failing us while tech monopolies deepen wealth divides and enable authoritarianism. We talk to him about how we can take back power from Big Tech. Wu's new book is “The Age of Extraction: How Tech Platforms Conquered the Economy and Threaten Our Future Prosperity.” Guests: Tim Wu, professor of law, Columbia Law School Learn more about your ad choices. Visit megaphone.fm/adchoices