Podcasts about Big data

Gibt es gläserne Menschen durch KI? Oder entsteht der gläserne Mensch durch digitale Spuren die wir selbst abgeben? Welche Veränderungen wurden durch den 11. September im sicherheitstechnischen Bereich ergriffen? Was sind Big Data companies? Wird Minority Report wird Realität?Wird die KI irgendwann Religionen ersetzen? Wird KI irgendwann dem Menschen überlegen sein und ist das aktuelle Leben ist das Beste?! Fragen über Fragen... Neugierig geworden? Dann hört rein in #ersthosedannsockenWenn du diesen Podcast unterstützen möchtest, dann erzähle deinen Freunden, Kolleginnen und Kollegen von ihm und bewerte ihn beim Podcastdienstleister deiner Wahl!Ihr findet unsere Sponsoren unter: DZR Die Praxisentwickler Ihr findet uns online unter:Doc.Blattner: Instagram ThreadsDoc.Tandon: Instagram Threads Youtube WebsiteChristian Both: Instagram ThreadsMarius: InstagramFundamental: Instagram Threads YouTube Website

On the pod this week, host Austin Karp dives into the numbers behind NFL Week 1's viewership surge and the impact of Big Data. Plus, IMG's Hillary Mandell joins the show to unpack major media rights deals like UFC, WWE and the U.S. Open, as well as what could be next for a league like the NWSL. And finally in Karp's Corner, we examine the U.S. Open's viewership surge, who won the weekend in college football and why a big European basketball should have a bigger American audience. 1:24 Austin Karp on NFL Week 14:11 Hillary Mandel Interview22:03 Karp's Corner

¿Estás seguro de que puedes confiar en tus datos? En este episodio revelamos por qué data testing se ha convertido en un pilar fundamental en los equipos de datos modernos y de calidad.

Trust at Scale: Security and Governance for Open Source Models // MLOps Podcast #338 with Hudson Buzby, Solutions Architect at JFrog.Appreciate JFrog for their support in bringing this blog to life.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractFor better or for worse, machine learning has traditionally escaped the gaze of security and infrastructure teams, operating outside traditional DevOps practices and not always adhering to organizations development or security standards. With the introduction of open source catalogs like HuggingFace and Ollama, a new standard has been established for locating, identifying, and deploying machine learning and AI models. But with this new standard comes a plethora of security, governance, and legal challenges that organizations need to address before they can comfortably allow developers to freely build and deploy ML/AI applications. In this conversation will discuss ways that enterprise scale organizations are addressing these challenges to safely and securely build these development environments. // BioHudson Buzby is a solution engineer with an emphasis on MLOps, LLMOps, Big Data, and Distributed Systems, leveraging his expertise to help organizations optimize their machine learning operations and large language model deployments. His role involves providing technical solutions and guidance to enhance the efficiency and effectiveness of AI-driven projects.// Related Linkshttps://www.youtube.com/channel/UCh2hNg76zo3d1qQqTWIQxDg~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Hudson on LinkedIn: /hudson-buzby/

Send us a textLast month, The Lancet posted online an article from Stine Johansen, Fredrik Åberg, Emmanuel Tsochatzis and Aleksander Krag, titled "Screening for Advanced Liver Disease." The article aims to update the Wilson and Jungner criteria, initially developed in 1960, to address modern needs and issues. In this conversation, Professor Krag and Dr. Johansen join Roger Green to discuss their article. There are many nuances and high points to cover in this thoughtful, fairly lengthy conversation, but one key point is that screening a mass population for HCC or cirrhosis has an entirely different set of issues and criteria compared to the screening usually discussed on this podcast, which involves identifying a population at increased risk for MASLD or MASH and screening them. Also, healthcare is far more expensive than it was in 1960 with a plethora of high-cost ways to diagnose, treat and manage patients.As a result, the authors started with the 10 Wilson and Jungner criteria and added eight more. During this conversation, Stine emphasizes the need for a comprehensive clinical trial on this issue, and all panelists agree that LiverAIM is likely to serve as the study.

¿Cómo puede un anunciante escoger la solución más adecuada para identificar a su audiencia en medios digitales? El Identity Use Case Builder de IAB Spain aspira a responder estas preguntas. Nos hemos sentado con sus artífices, José Ramón Mencías (Publicis) y Mónica Rodríguez (Utiq) para entender su motivación y algunos precedentes -como el estudio sobre el estado de la privacidad digital en España.Mónica Rodríguez Paz es Managing Director de Utiq para el Sur de Europa y cuenta con más de 15 años de experiencia en marketing digital, habiendo trabajado antes en Salesforce, Telefónica y Microsoft. Ha liderado la integración de soluciones de identidad y estrategias “cookieless” para grandes marcas y medios en España e Italia. Además, es presidenta de la Comisión de Data de IAB Spain.José Ramón Mencías es Data Solutions Lead en el Grupo Publicis, acumulando más de 15 años de experiencia en el sector que incluyen el desarrollo de un Trading Desk independiente y la implementación de infraestructuras de Big Data para grandes marcas, además de haber pasado por la analítica web y el ad serving. También colabora con varias escuelas de negocio y asociaciones del sector.Ambos son co-fundadores de la Data Clean Room Alliance.Referencias:* Mónica Rodríguez Paz en LinkedIn* José Ramón Mencías en LinkedIn* IAB Spain: Identity Use Case Builder* IAB Spain: Estudio sobre el Estado de la Privacidad Digital* Data Clean Room Alliance* Estudio: la agencia de seguridad nacional de Estados Unidos compra datos de navegación de usuarios a data brokers del mercado publicitario (CNN, 2024)* José Ramón Mencías: mitos y futuro del mundo cookieless, la audiencia empoderada, la medición y la publicidad (Masters of Privacy, 2023) 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

On the new Sports Media Watch Podcast, Jon Lewis and Armand Broady are joined by Derek Futterman for a discussion of the massive backlash to the news that NFL RedZone will now include ads; the NFL's YouTube debut; the impact of "Big Data" on ratings reporting; Caitlin Clark's injury-wracked season; and Pablo Torre's latest scoop.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

In this episode of the Technology & Security podcast, host Dr. Miah Hammond-Errey is joined by lawyer and digital rights activist, Lizzie O'Shea. This episode explores Australia's technology debates from a security and legal lens—addressing copyright, creativity, AI, and the legal structures, including class action, that shape society and security. We discuss how so often in the AI discussion we are asked to make trade-offs about immense future potential with real present harms in the now. This episode breaks down why proposals to let large language models freely train on the copyrighted works of Australians have rattled artists, news media, and civil society. Lizzie explains the Productivity Commission's push for a data mining exemption, unpacks strong community reaction, the distinction between fair use and fair dealing and highlights what's at stake for creative industry sustainability and fair compensation in the digital age. We also explore recent legal action against Google and Apple–in Australia–and  the breadth of big tech legal and enforcement action globally, and what this means. The episode also covers the changing nature of US and Chinese AI strategies and approaches to the Indo Pacific, as well as an increase in big tech spending in Australian policy and research landscape. We explore the vulnerability of allowing mass data collection, noting that while data minimisation, and prioritising strong cybersecurity are understood priorities we question whether they are they really supported by legislative regimes. We discuss the significance of incentivising feedback in AI systems to integrate them into businesses in productive ways and crafting successful narratives for cautious adoption of AI. Finally, we look at why litigation has become central to holding digital giants accountable, and how Australians' blend of healthy scepticism and tech enthusiasm might finally force smarter AI regulation. The conversation highlights how quick fixes and premature adoption, risk deeper, lasting social harms and national security threats. Resources mentioned in the recording: ·       Future Histories, What Ada Lovelace, Tom Paine, and the Paris Commune Can Teach Us about Digital Technology, by Lizzie O'Shea, Shortlisted for the Victorian Premier's Literary Awards 2020 Award. https://lizzieoshea.com/future-histories/·       Burning Platforms podcast, https://percapita.org.au/podcasts/·       Empire of AI by Karen Hao ·       Digital Rights Watch https://digitalrightswatch.org.au This podcast was recorded on the lands of the Gadigal people, and we pay our respects to their Elders past, present and emerging. We acknowledge their continuing connection to land, sea and community, and extend that respect to all Aboriginal and Torres Strait Islander people. Thanks to the talents of those involved. Music by Dr Paul Mac and production by Elliott Brennan. 

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Teaching students to write out their own models is crucial.Developing a sports analytics portfolio is essential for aspiring analysts.Modeling expectations in sports analytics can be misleading.Tracking data can significantly improve player performance models.Ron encourages students to engage in active learning through projects.The importance of understanding the dependency structure in data is vital.Ron aims to integrate more diverse sports analytics topics into his teaching.Chapters:03:51 The Journey into Sports Analytics15:20 The Evolution of Bayesian Statistics in Sports26:01 Innovations in NFL WAR Modeling39:23 Causal Modeling in Sports Analytics46:29 Defining Replacement Levels in Sports48:26 The Going Deep Framework and Big Data in Football52:47 Modeling Expectations in Football Data55:40 Teaching Statistical Concepts in Sports Analytics01:01:54 The Importance of Model Building in Education01:04:46 Statistical Thinking in Sports Analytics01:10:55 Innovative Research in Player Movement01:15:47 Exploring Data Needs in American Football01:18:43 Building a Sports Analytics PortfolioThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M,...

This week on The Data Stack Show, the crew welcomes Eric Dodds back to the show as they dive into the realities of integrating AI and large language models into data team workflows. Eric, Matt and John discuss the promise and pitfalls of AI-driven automation, the persistent challenges of working with APIs, and the evolution from big data tools to AI-powered solutions. The conversation also highlights the risks of over-reliance on single experts, the critical importance of documentation and context, and the gap between AI marketing hype and practical implementation. Key takeaways for listeners include the necessity of strong data fundamentals, the hidden costs and risks of AI adoption, the importance of balancing efficiency gains with long-term team resilience, and so much more.Highlights from this week's conversation include:Eric is Back from Europe (0:37)AI and Data: Jurisdiction and Comfort Level (4:00)APIs, Tool Calls, and Practical AI Limitations (5:08)Scaling, Big Data, and AI's Current Constraints (9:16)Stakeholder-Facing AI and Data Team Risks (13:20)Self-Service Analytics and AI's Real Impact (16:04)AI Hype vs. Reality and Uneven Impact (20:27)Cost, Context, and AI's Practical Barriers (25:25)AI for Admin Tasks and Business Logic Complexity (29:13)Tribal Knowledge, Documentation, and Context Engineering (32:07)AI as a Productivity Accelerator and the “Gary Problem” (35:10)Healthy Conflict, Team Dynamics, and AI's Limits (39:15)Back to Fundamentals: Good Practices Enable AI (41:47)Lightning Round: Favorite AI Tools and Workflow Integration (45:56)AI in Everyday Life and Closing Thoughts (48:14)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Peggy and Donna Laquidara-Carr, industry insights research director, Dodge Construction Network, talk about a new study and some of the biggest obstacles that are preventing more workers from joining the construction industry. She says there were two pieces to the study: surveying contractors and the general population. They also discuss: The top way construction professionals are drawn into the industry. How to expand beyond what we are doing now. The disconnect between the perception of what is keeping people out of construction and what is actually keeping people out of construction. construction.com  (9/2/25 - 935) What You Might Have Missed: Employee Productivity in Construction What's Next for AI in Construction AI Shifts Future of Work IoT, Internet of Things, Peggy Smedley, construction, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, 5G, cloud, sustainability, future of work, podcast, Donna Laquidara-Carr, Dodge Construction Network This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy unpacks how agentic AI (artificial intelligence) is poised to transform the manufacturing industry—and why 97% of industrial manufacturing CEOs say digital and tech transformation is now a top priority. With the sector facing a perfect storm of labor shortages, rising costs, and geopolitical pressures, she explains how AI agents can unlock smarter, more adaptive operations on the factory floor. She also discusses: The role of both virtual and embodied AI agents in reshaping industrial work. A five-step plan for manufacturers to pilot, scale, and succeed with agentic AI. The long-term opportunities for near-autonomous factories. peggysmedleyshow.com  (9/2/25 - 935) What You Might Have Missed: Agentic AI Comes to Construction Agentic AI at Frontier Firms All about AI Agentic Swarms IoT, Internet of Things, Peggy Smedley, artificial intelligence, manufacturing, machine learning, big data, digital transformation, cybersecurity, 5G, cloud, sustainability, future of work, podcast, industrial manufacturing, agentic AI This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy and Jonathan Eig, author, talk about his book King, A Life, and what he learned about Dr. Martin Luther King, Jr., while writing the book. He says King was a person who had a lot of troubles and failures, and was prone to depression, and yet he continued to believe in God and America and believed it was worth all the sacrifice. They also discuss: The recently released pages of FBI files and the impact on the civil rights movement. How King's ethical perspective on work could serve as a counterpoint to today's culture. How journalism has changed—and how that impacts the work of a biographer. jonathaneig.com  (9/2/25 - 935) What You Might Have Missed: Work from Anywhere Empowering Women on the Way to the Top Employment Is Dead IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, 5G, sustainability, future of work, podcast, Jonathan Eig, author, manufacturing This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy and Donna Laquidara-Carr, industry insights research director, Dodge Construction Network, talk about a new study and some of the biggest obstacles that are preventing more workers from joining the construction industry. She says there were two pieces to the study: surveying contractors and the general population. They also discuss: The top way construction professionals are drawn into the industry. How to expand beyond what we are doing now. The disconnect between the perception of what is keeping people out of construction and what is actually keeping people out of construction. construction.com  (9/2/25 - 935) What You Might Have Missed: Employee Productivity in Construction What's Next for AI in Construction AI Shifts Future of Work IoT, Internet of Things, Peggy Smedley, construction, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, 5G, cloud, sustainability, future of work, podcast, Donna Laquidara-Carr, Dodge Construction Network This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy unpacks how agentic AI (artificial intelligence) is poised to transform the manufacturing industry—and why 97% of industrial manufacturing CEOs say digital and tech transformation is now a top priority. With the sector facing a perfect storm of labor shortages, rising costs, and geopolitical pressures, she explains how AI agents can unlock smarter, more adaptive operations on the factory floor. She also discusses: The role of both virtual and embodied AI agents in reshaping industrial work. A five-step plan for manufacturers to pilot, scale, and succeed with agentic AI. The long-term opportunities for near-autonomous factories. peggysmedleyshow.com  (9/2/25 - 935) What You Might Have Missed: Agentic AI Comes to Construction Agentic AI at Frontier Firms All about AI Agentic Swarms IoT, Internet of Things, Peggy Smedley, artificial intelligence, manufacturing, machine learning, big data, digital transformation, cybersecurity, 5G, cloud, sustainability, future of work, podcast, industrial manufacturing, agentic AI This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy and Jonathan Eig, author, talk about his book King, A Life, and what he learned about Dr. Martin Luther King, Jr., while writing the book. He says King was a person who had a lot of troubles and failures, and was prone to depression, and yet he continued to believe in God and America and believed it was worth all the sacrifice. They also discuss: The recently released pages of FBI files and the impact on the civil rights movement. How King's ethical perspective on work could serve as a counterpoint to today's culture. How journalism has changed—and how that impacts the work of a biographer. jonathaneig.com  (9/2/25 - 935) What You Might Have Missed: Work from Anywhere Empowering Women on the Way to the Top Employment Is Dead IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, 5G, sustainability, future of work, podcast, Jonathan Eig, author, manufacturing This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Analizamos las claves del 39º Encuentro de la Economía Digital y las Telecomunicaciones 2025, organizado por AMETIC en Santander bajo el lema “Digitalización, Competitividad e Impacto Social. La gran ecuación”. Conversamos con María Luque Fernández, vicepresidenta de la Comisión de Innovación de AMETIC, Luis Miguel Chapinal, Decano del Colegio Oficial de Ingenieros Técnicos de Telecomunicación (COITT) y Enrique Serrano Montes, Presidente de la Comisión de Inteligencia Artificial y Big Data de Ametic quienes reflexionaron sobre los retos de la transformación digital, el papel de la Inteligencia Artificial con propósito y el impacto de la digitalización en ámbitos como la defensa, la competitividad y la inversión tecnológica de futuro.

This episode features Dr. Christopher Garcia, Chief Digital Innovation Officer at Mayo Clinic Laboratories, discussing how AI and big data are reshaping diagnostics. He shares insights on democratizing expertise, balancing innovation with patient safety, and creating trusted AI tools to advance healthcare.This episode is sponsored by Mayo Clinic Laboratories.

A group of residents in Pittsburgh have voiced their concern over one of the city's most highly-anticipated development projects. The coming of Big Data seems inevitable, so these townships have decided to take some steps in laying down some ground rules. What was once a beacon for young girls at the mall is closing over a dozen locations in Pennsylvania. Plus, paws for a moment and relax at this bar coming to York.

Inclusivity and accessibility remain some of the biggest challenges for data events. True inclusion is not the result of a single initiative, but continuous effort, honest reflection, and a willingness to listen to the community. At Big Data LDN, these values are rooted in the event's mission. By highlighting both established leaders and emerging voices, the conference creates a stage where diverse perspectives can shine, while fostering a welcoming environment where every attendee feels they belong.In this episode of Don't Panic, It's Just Data podcast, host Trisha Pillay is joined by Andy Steed, Event Director at Big Data LDN, and Roisin McCarthy, Founder of Women in Data. The conversation examines how Big Data LDN has become a cornerstone of the data community over the past decade and why advancing inclusivity is crucial to the conference's continued impact in its 10th year.A Decade of Big Data LDNOver the past 10 years, Big Data LDN has grown beyond a traditional tech conference. As Andy explains, keeping the event relevant means constantly adapting to the changing needs of the data community. From established thought leaders to rising stars, the agenda is designed to showcase the breadth of talent driving innovation across industries.Roisin highlights how Women in Data has grown to an incredible 95,000 members worldwide, becoming an anchor of community engagement in the data industry. At Big Data LDN, this partnership translates into a stronger focus on inclusivity, mentorship, and ensuring that diverse voices are not only present but heard. The Women in Data Lounge at this year's event will be a dedicated hub for networking, support, and inspiration.Inclusion and Accessibility in PracticeBoth guests stress that real inclusion doesn't happen by accident. It requires intention, continuous reflection, and a willingness to address barriers head-on. Big Data LDN is taking deliberate steps to create a welcoming environment, one where accessibility, representation, and community-building are central to the experience.What Attendees Can ExpectBig Data LDN brings together world-class keynotes, hands-on workshops, and community-driven sessions, offering both deep technical insights and opportunities to connect. Networking is built into the event, with spaces designed for conversations that continue well beyond the conference floor. Taking place September 24–25, this year's edition will be the largest yet, including a new conference that explores AI agents, AI governance and data products on September 23 for those seeking more focused, technical exploration.Listen to the full episode of Don't Panic, It's Just Data to hear more about how Big Data LDN is shaping the future of data events.TakeawaysBig Data LDN has significantly evolved...

The advantage of being an old man is that you can remember the past. This gives you a different perspective on current events. But if that old man is foolish enough to share his thoughts, the average person will smile tolerantly and pat him on his head and tell him that he is just “a lovable old dinosaur who is out-of-touch and living in the past.”Screw it. I'm going to go ahead say what I'm thinking.A few years ago, Big Data was going to change the world. Big Data came and went.Then we got excited about ideas that were “disruptive.” Slash-and-burn disruption by a bunch of young pirates was going to change everything.The Blockchain was going to change everything. You couldn't go anywhere without someone blathering about Crypto and NFT's.Now AI is going change everything. And it definitely will, for awhile.Technology saves money by reducing labor costs, which is just a fancy way of saying that technology allows you to replace people with machines. Unemployment will increase, and Trump will blame Obama.And so it goes.I had an appointment in 1977 to meet with a loan officer at First National Bank in Broken Arrow, Oklahoma, to borrow $1,000.The greeter at the bank sat me in a chair in the waiting room. I was 19 years old.Smart phones did not exist. My only option was to paw through the pile of old magazines on the coffee table in front of me. Can you believe that every one of those magazines was about banking? The banker puts his banking magazines on the coffee table in his lobby when he is finished reading them. And the dentist puts his dental magazines on the coffee table in his lobby. This is how the Business Titans of Smallville keep their costs under control.And they do it for our convenience.I began reading a magazine about banking and it catapulted my brain into a tumbling somersault from which I have never recovered. The feature article was about ATM's, but it didn't call them ATM's. It referred to them as automated teller machines.“The modern bank executive can now reduce his payroll significantly because these new automated teller machines work without pay 24 hours a day, and they never make mistakes.”My eyes were jacked open so wide that I was unable to blink.ATM's were not invented for our convenience! They were invented so that banks could fire 60% of their bank tellers!“These new tellers require no health insurance, no air-conditioned offices, no telephones, no sick days, and they take no vacations. Your customers will thank you for giving them the ability to make deposits and withdrawals 24 hours a day from a variety of convenient locations.”The man I saw in my mind was the banker in the old Monopoly game by Parker Brothers. The way to win the game of Monopoly is to gobble up all the things that people cannot avoid, then take everything they own when an unlucky roll of the dice puts them at your mercy. It's perfectly legal.I played Monopoly when I was young, but I don't play it anymore.Parker Brothers began selling Monopoly in 1935. But that game's origins trace back to an earlier version called “The Landlord's Game” created by Elizabeth Magie. She crafted her game back in 1904, when Teddy Roosevelt was making his mark on history by curbing the excesses of the richest and most powerful men in America.Google, Apple and Meta still play Monopoly. As do the insurance companies, the oil companies, the pharmaceutical companies and the medical corporations that control virtually all the doctors. But the version of Monopoly they play isn't sold by Parker Brothers.To win, all you have to do is gobble up the things that people cannot avoid, then take everything they own when an unlucky roll of the dice puts them at your mercy. It's perfectly legal.Abraham Lincoln and Teddy Roosevelt are the Republicans on

On roule, on court, on nage… mais sommes-nous vraiment maître de nos activités sportives? Dans cet épisode de JAMAIS ASSEZ, on accueille André Mondoux, professeur à l'École des médias de l'UQAM et coauteur de Big Data et quantification de soi. Ensemble, on explore : - STRAVA, la performance et l'obsession du “toujours plus”

Send us a textKey Opinion Leaders Manal Abdelmalek, Naim Alkhouri, Scott Isaacs and Zobair Younossi join Roger Green to discuss the FDA's approval of semaglutide for patients with non-cirrhotic MASH. This conversation focuses on how the US healthcare system must adapt to handle the growing number of MASH and MASLD patients who might seek treatment, given likely increases in publicity and education.The conversation starts with a focus on the implications of semaglutide approval for hepatologists. Naim states that many hepatologists are currently uncomfortable managing patients on GLP-1 agonists. This will need to change. Manal points out that providers must check for cirrhosis when testing for MASH and understand how to respond accordingly. An increase in the number of providers having access to in-office scanning devices will facilitate this process.Zobair shifts to a larger point:  even if all related specialists integrate MASH into their practices, the actual patient care demand will require alternative pathways in which the responsibility for patient care will rest with specialist APPs. The number of APPs necessary to handle this load and trained to do so does not currently exist in the US. Increased APP training must, and will, become an area for increased investment and focus.After Naim Alkhouri describes some of the differences between resmetirom and semaglutide in terms of practical treatment decisions, the discussion focuses on why MASLD and MASH will create unique challenges for hepatology practices. Manal views the issue as a matter of time; practices cannot absorb large numbers of new, non-urgent patients. Naim suggests that the real issue is the business question: specialists today do not profit simply from treating patients. Zobair agrees with Naim and notes that the challenge is not unique to hepatology. He expresses the hope that AI and efficient database management will make it easier to target, screen, diagnose and treat patients...given sufficient providers (mostly APPs) to treat them. 

Data centers are the fastest growing industry in Virginia, and that means plenty of opportunity for businesses to find ways to work together. At a recent conference in Richmond, Brad Kutner found out more about how these industries are meeting and growing locally. 

On the pod this week, host Austin Karp takes you around the sports media landscape, including major news on how sports will be measured going forward by Nielsen, comings and goings with the U.S. Open and Netflix betting big in Japan with MLB. SBJ college reporter Ben Portnoy chimes in as Lee Corso gets set for his final “College GameDay.” Plus, The CW President Brad Schwartz discusses the network's rapid transformation into a major player in live sports anchored by NASCAR and college football, and what the company has planned for streaming and beyond.00:50 COLLEGE FOOTBALL PREVIEW15:07 BRAD SCHWARTZ INTERVIEW29:18 KARP'S CORNER

The 2025 China International Big Data Industry Expo has opened in southwest China. This year's event in Guiyang features more than 300 domestic and international enterprises.

El caso de Grupo Posadas es un ejemplo especialmente relevante que refleja una realidad común a todas las empresas, sin importar su sector o tamaño: el desafío de alinear los esfuerzos comerciales con los canales de distribución para ofrecer una experiencia de cliente única y excepcional. En el contexto actual de transformación digital que atraviesan las organizaciones, el conocimiento profundo del cliente se ha convertido en un activo estratégico de primer orden.Omnicanalidad y cómo llevarla a caboLa omnicanalidad consiste en integrar todos los canales y puntos de contacto con el cliente de forma coherente, con el fin de construir una visión única e integral del consumidor. Grupo Posadas ilustra este proceso. Un consumidor puede iniciar su búsqueda de hospedaje en Google y encontrarse con múltiples opciones, muchas de ellas ofrecidas por intermediarios como Expedia, Travelocity o Hoteles.com. Estos canales median la relación entre el hotel y el cliente final. El recorrido puede comenzar en Google, continuar en un centro de atención telefónica y concluir con una reserva directa en el hotel. Hoy existen múltiples puntos de contacto entre marcas y consumidores, y lo que estos esperan es una experiencia consistente en cada uno de ellos.El riesgo de competir solo por precio A muchas empresas les cuesta diferenciarse, incluso en sus productos y servicios. El riesgo es caer en una competencia basada únicamente en el precio, convirtiéndose en un commodity del que luego es difícil salir. Para evitarlo, es indispensable conocer al cliente en profundidad. Esto implica invertir en tecnologías de información que permitan recolectar datos relevantes en cada punto de contacto: preferencias, hábitos, comportamientos.Estrategia antes que tecnologíaAunque la tecnología es cada vez más accesible, sin una estrategia clara cualquier inversión será insuficiente. Grupo Posadas identificó que cada canal de distribución tiene un costo distinto. Por ello, ha trabajado en optimizar su ecosistema comercial para mejorar la experiencia del cliente. Con este propósito, ha invertido millones de dólares en tecnología, desarrollando un repositorio único de información que integra datos provenientes de redes sociales, bases internas y externas, y que permite construir un perfil completo del consumidor.¿Qué se logra con esto?Una vez que se cuenta con una visión integral del cliente, la empresa puede:Optimizar sus canales de distribución.Activar estrategias de Big Data.Ofrecer una experiencia de consumo verdaderamente diferenciadora.  

Big Data LDN (BDL), the ultimate data event of the year, celebrates its 10th anniversary this year. This year's event is scheduled to take place on September 24 and 25, with a brand-new deep-dive conference held on September 23. In this episode of the Don't Panic, It's Just Data podcast, host Shubhangi Dua, Podcast Producer and B2B Tech Journalist at EM360Tech, speaks with Michael Ferguson, CEO of Intelligent Business Strategies and BDL Conference Chair, and Palesa Amadi, BDL Conference Manager. The speakers provide a sneak peek of the upcoming Big Data LDN conference. They discuss how AI affects data and analytics, and spotlight the importance of data governance. Additionally, they talk about the different theatres and sessions available at the conference. The conversation also shines a light on keynotes and notable speakers, the changes in data engineering and architecture, and the learning opportunities for attendees. AI Agents, Data Products in the LimelightGet ready for "AI madness", says the Conference Chair. This year's event will feature AI in many forms, from AI agents walking the aisles to its integration into almost every software product on the exhibition floor."It's going to be hectic," Ferguson expresses. He expects a strong push toward AI-driven data governance and data management. Such changes aim to simplify complex tasks and make tools easier for more users to access. Instead of just seeing copilots, attendees will experience multi-agent capabilities and even "AI apps."With 16 theatres and numerous speakers, the conference focuses on learning. Conference Manager describes how the content is tailored for everyone—from engineers and analysts to students."You're going to come to this to learn and to add to your knowledge, and of course, network," says Amadi. The show has changed its focus to include new theatres like Data Products and Streaming Analytics, along with Decision Automation. Some theatres have been renamed to highlight the growing influence of AI, such as the Data and AI Strategy Theatre.A new "Data for Good" theatre will feature sessions on sustainability and using data for unconventional purposes, like tackling global food needs.Unmissable Keynotes and SpeakersThe speaker lineup is a big draw, featuring well-known experts and thought leaders. Amadi is particularly excited about keynote speaker Zhamak Dehghani, who will discuss the "apparent redundancy" of the term data mesh. Dehghani, who wrote the viral white paper on this topic, will advocate for her...

Why are companies firing Gen Z employees — and what can be done to help them succeed?In August, I attended the 2025 Association for Education in Journalism and Mass Communication conference in San Francisco.  My colleague, Dr. Nandini Bhalla of Texas State University, led a stellar panel titled “Why are companies firing Gen Z employees? Workforce Strategies and Solutions for PR's Next Generation.”The panel featured an all-star lineup of experts:Caitlin Haskins – Vice President of AI, Big Data & Cloud at 10Fold CommunicationsMichelle Galey – Washington State UniversityJeffrey Ranta – Coastal Carolina UniversityCaitlin Cieslik-Miskimen – University of IdahoModerator - Nandini Bhalla, Texas State UniversityAfter the panel, I pulled out my iPhone and asked Caitlin Haskins a couple of questions about what she sees in the workplace.  In this short interview, Caitlin shared practical strategies that every Gen Z professional can use to thrive in today's workplace. Caitlin's tips are clear and actionable.  Listeners will walk away with 3 strategies they can use immediately. Reliability — show up, meet deadlines, and build trustProactive communication — keep projects and teams alignedGrowth mindset — turn feedback into a tool for long-term successYou can learn more about Caitlin Haskins from her LinkedIn profile and in this Ragan PR Daily article. Hi Friend - If you're enjoying Stories of Change and Creativity, make sure to follow, rate, and leave a 5-star review—it helps more people discover the show. Check out my TEDx talk. Why you should take action - then figure it out.

Peggy Smedley and Maria Pacheco, assistant professor of computer science, University of Colorado Boulder, discuss the results of a study surrounding AI (artificial intelligence) solving sudoku puzzles. She says the more complex the problems, the more difficult the time the tools had at solving them. They also discuss: Why even the best tools had a hard time reasoning why they came to an answer. The three stages to the language models acquiring the knowledge. The main danger that exists and how we can use them for what they are good at. colorado.edu/cs  (8/26/25 - 934) What You Might Have Missed: AI for IT Operations AI, Energy, and the Need for Innovation AI as a Collaborator IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Maria Pacheco, University of Colorado Boulder This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy digs into agentic AI (artificial intelligence) and its transformative potential for the construction industry. She explores how this next evolution of AI—capable of autonomous reasoning and decision-making—can address some of the industry's most pressing challenges from labor shortages to supply-chain complexity. She also discusses: The staggering growth forecast of the agentic AI market. Why small and midsized construction firms are still hesitant to adopt AI—and what the data says about this trend. Use cases where agentic AI can make a difference, including project scheduling, supply chain coordination, and worksite safety. peggysmedleyshow.com  (8/26/25 - 934) What You Might Have Missed: Employee Productivity in Construction What's Next for AI in Construction AI in the Steel Industry IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Yury Gomez, global commercial head for supply chain manufacturing and mobility industries, Microsoft, talk about the acceleration of AI (artificial intelligence) and agentic AI. She says supply chains are getting drastically overwhelmed once again, with geopolitical conflicts, but the good news is Microsoft is changing how the supply chain is done with technology because technology is really changing the game.  They also discuss: What a Frontier Firm is and how agentic AI can help Frontier Firms. Examples of case studies where agentic AI is helping in the supply chain. Three areas where companies need to intensify. 2025: The year the Frontier Firm is born Building the Frontier Firm with Microsoft Azure: The business case for cloud and AI modernization (8/26/25 - 934) What You Might Have Missed: Key Considerations for Manufacturing The Age of AI in Automotive Manufacturing: Yesterday, Today, and Tomorrow IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Yury Gomez, Microsoft This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.  

FHC #186: From rare diseases to rural America, Optum's CEO talks healthcare's future In this special return to Season 10, which focused on transformative technologies in medicine, Fixing Healthcare hosts ... The post FHC #186: Optum CEO on AI, big data & preventing disease appeared first on Fixing Healthcare.

Prepare-se para uma imersão nos bastidores do mais recente encontro de engenharia de dados em Brasília e descubra as tendências que estão moldando o futuro da área. Neste episódio, Vitor Ramos conversa com Wesley Outeiro e outros participantes para compartilhar os principais insights e aprendizados do evento presencial, organizado pela Engenharia de Dados Academy e como palestrante Luan Moreno.Uma conversa sincera sobre a importância das interações presenciais, a evolução da comunidade de dados e o impacto da Inteligência Artificial no dia a dia dos profissionais.O que você vai aprender neste episódio:A importância do networking e da comunidade para o crescimento pessoal e profissional na área de dados.Como a interação presencial em eventos potencializa o aprendizado e a colaboração.As principais tendências em dados e IA que estão criando novas oportunidades e desafios para o mercado.Por que o domínio dos conceitos fundamentais é mais crucial do que nunca para o sucesso na engenharia de dados.A relevância de FinOps para a gestão eficiente de custos de nuvem em projetos de dados.Reflexões sobre como a dinâmica de eventos e a troca de conhecimento estão evoluindo.O poder de se conectar com líderes da indústria para se inspirar e motivar sua carreira. Luan Moreno = https://www.linkedin.com/in/luanmoreno/

En este episodio grabado en vivo desde el Latam Fintech Market 2024, conversamos con Cristian Castillo, head of sales en Experian, sobre cómo la data y la tecnología están transformando el acceso al crédito en Colombia y América Latina.Cristian comparte su visión sobre los principales retos de las fintech: crecimiento sostenible, regulación, prevención del fraude y la adopción del Open Finance. También resalta la importancia de tomar decisiones basadas en información responsable, fomentar la educación financiera y poner al ciudadano en el centro para evitar el sobreendeudamiento.Con cifras reveladoras, como los 270.000 créditos otorgados en 2023 a personas sin historial crediticio, Cristian explica el rol determinante de las fintech en la inclusión crediticia, el papel de la regulación en la construcción de un ecosistema más justo y las soluciones tecnológicas que están marcando la diferencia en la prevención del fraude.Una conversación imperdible sobre cómo la innovación en información y crédito puede abrir puertas, generar oportunidades y fortalecer el sistema financiero. 

Marty Kagan, co-founder and CEO of Hydrolix, joined me for a detailed conversation on the importance of delivering better end-user QoE with real-time telemetry and the challenges that come with CDN observability. Marty highlights why more hot data is crucial for AIOps and challenges that M&E customers face today, including the need to discard data due to storage costs. Marty presents a compelling argument against the notion that most data is irrelevant and that content owners only need to retain a small percentage as a sample. We also discuss why Hydrolix isn't an AI company and Marty's plans to continue growing its streaming data lake platform in verticals outside of video.Podcast produced by Security Halt Media

Peggy unpacks the who, what, when, where, why, and how of ambient invisible intelligence—and what it means for the way we live and work. She explores how this technology will quietly transform our homes, cities, hospitals, and factories, enabling more natural and intuitive human experience.  She also discusses: The timeline for widespread adoption and how some vertical markets are already embracing ambient intelligence. Why advances in low-power electronics, energy harvesting, and edge are accelerating this shift. Her candid thoughts on the opportunities, challenges, and what must come next. peggysmedleyshow.com  (8/19/25 - 933) What You Might Have Missed: All about AI Agentic Swarms All about Quantum Real Estate The Rise of AI Ghosts IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Dan Miklovic, founder, Lean Manufacturing Research and leader, Third Eye Advisory, talk about how we can prepare workers for the factory of the future. He says manufacturers need to be the best in the industry and the best in the world to be competitive, explaining how automation and machinery have and will change the manufacturing industry. They also discuss: What the team of the future is going to look like. The size of the manufacturing labor shortage.  The percentage of AI investments and pilot projects that are not returning ROI. thirdeyeadvisory.com  (8/19/25 - 933) What You Might Have Missed:  ChatGPT: The Impact on Manufacturing The True Impact of ChatGPT on Manufacturing Tech Trends: Manufacturing IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Dan Miklovic, Lean Manufacturing Research, Third Eye Advisory, This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.  

Peggy Smedley and Dan Gaylin, president and CEO, NORC, author, Fact Forward, talk about what brought him to the idea for his new book. He says he has a desire to help make sure our most important decisions are informed by good data and not led astray by faulty data. They also discuss: Why the data ecosystem has become so messy. The four main data errors that anyone can commit and the ways to guard against them. How to create a data literate society. norc.org  factforwardbook.org  (8/19/25 - 933) What You Might Have Missed:  Work from Anywhere AI: Threat or Help? The Power of AI IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Dan Gaylin, NORC This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Air Date: 8–19-25 Today, Jay!, Amanda, Deon, and Erin discuss: Ch.1 - The Trump administration's unprecedented attempts to get your data from the states Ch. 2 - Why Trump's new private health tracking system is a wolf in sheep's clothing Ch. 3 - How HIV patients suffering in the 80s, 90s and early 00s from constant health data breaches is a hint of what could come Ch. 4 - Why a new UK law trying to protect children from seeing terrible things online is doing more harm than good Ch. 5 - Tips on keeping your digital privacy intact as best as you can in this data hungry world BACKSTAGE: Beyond the Algorithm (Members Only): How an activist organization used debanking to make video game companies censor their content, where that tactic might lead, and more. A funny thing happened on the way to recording… (blooper)   FOLLOW US ON: Bluesky Mastadon Instagram Facebook YouTube (This episode drops on YouTube on Friday - please share!) Nostr public key: npub1tjxxp0x5mcgl2svwhm39qf002st2zdrkz6yxmaxr6r2fh0pv49qq2pem0e   REFERENCES: States Have More Data About You Than the Feds Do. Trump Wants to See It. - NY Times Trump Announces Plan to Launch Private Health Tracking System With Big Tech Firms - Time HIV & Civil Rights: A Report from the Frontlines of the HIV/AIDS Epidemic - ACLU Blocking Access to Harmful Content Will Not Protect Children Online, No Matter How Many Times UK Politicians Say So - EFF 'A disaster waiting to happen' — Cybersecurity experts react to UK age verification law - Toms Guide UK Age Verification Laws: How to Comply & Stay Safe in 2025 - WizCase MEMBERS ONLY Steam and Itch.io Are Pulling ‘Porn' Games. Critics Say It's a Slippery Slope to More Censorship - Wired     EXTRAS SOLVED! #7 - The Deficiency of Efficiency: Why govt is inefficient BY DESIGN, & more - SOLVED! (Recorded April 2025) All 2025 Health Information Data Breaches (Source: HHS.gov) 2025 Data Breach (Account info for Apple, Facebook, Google, GitHub, Telegram, and government platforms)     TAKE ACTION: One Million Rising Trainings In a blue state? Help stop ICE overreach Use the 5 Calls app for scripts and to reach all your elected officials Capitol Switchboard: 202-224-3121

GuestGleb Budman, Cofounder, CEO, Chairman of Backblaze [NASDAQ: BLZE]Websitehttps://www.backblaze.com/About Gleb BudmanGleb Budman is the co-founder and CEO of Backblaze (NASDAQ: BLZE), the cloud storage company trusted by over 500,000 customers in 175+ countries. From home-built servers to taking the company public, Gleb has led Backblaze with a rare mix of long-term vision, transparency, and scrappiness. Turning a bootstrapped startup into a global cloud platform. Before Backblaze, Gleb led product at two technology startups from beginning through successful acquisitions.

This Drum Panel brings together Brendan Buckley—drummer for Shakira, Perry Farrell, Morrissey, and more—and one of my closest friends, Gunnar Olsen of Puscifer, Mother Feather, Big Data, and ME to chat about... ...the difference between what works in the practice room and what works in an arena, charting versus memorizing, and how to respect the composition before making it your own. Brendan breaks down the “Shakira machine” and why clarity and projection beat busy parts when you're playing to the back row. We also cover deep-dive listening versus casting a wide net, Bowie's Berlin era, and the time Brendan's electrician turned out to be one of my favorite drummers—and his too. It's equal parts practical advice, music history, and great road stories from working drummers. Inside this episode Arena truth: kick, snare, crashes beat ghost-note soup The DW stainless kit that keeps coming back on tour Shakira's camp, subs, and how Brendan plans for “what if” Learning 30 songs fast: charts, anchors, and staying calm Deep-dive listening vs playlists, plus Bowie and Prince talk The Alan Myers story and why “mic-friendly” drums matter ——— Get Your Copy of the Drummers on Drumming Book Today!

Peggy Smedley and Dan Horner, managing director of Dar/Sidara UK, talk about why productivity and innovation in the construction industry is not the same as other industries. He says some people say innovation in the construction industry ended with the hammer, although he doesn't believe that is true.  They also discuss: Research from the Economist that shows construction ranked 21 out of 22 relative to other industries. New innovations such as AI (artificial intelligence)—and how they might change the construction industry as a whole. Two examples of historical innovations and the lag from initial invention and the ultimate speed of change. sidaracollaborative.com  (8/12/25 - 932) What You Might Have Missed:  All about Your Worker AI Opportunities in a New World Employee Productivity in Manufacturing IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Dan Horner, Dar/Sidara UK This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Akshitha Sriraman, assistant professor, Carnegie Melon University, discuss new research and why it is important to design scalable and efficient data center systems. She says her research focuses on large-scale data center systems and how to make the servers more sustainable and circular. They also discuss: Open-source tooling infrastructure and open-source datasets and benchmarks. The correlation between cost and carbon. Why she chose this as her research and how her research has shifted. users.ece.cmu.edu/~asrirama  (8/12/25 - 932) What You Might Have Missed:  Server Farms, Data Centers, AI Factories, Oh My! All about Data Center Construction At the Sustainable Data Center IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Akshitha Sriraman, Carnegie Melon University This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley unpacks the who, what, when, where, why, and how of AI agentic swarms—and what they mean for the future. She discusses the role of intelligent AI agentic swarms in everything from logistics to defense. She also discusses: The estimated value of the global swarm robotics market through 2033. Why agentic swarm collaboration marks a new chapter for AI. Her candid thoughts on the opportunities, risks, and what comes next. peggysmedleyshow.com  (8/12/25 - 932) What You Might Have Missed:  Agentic AI in the City The Rise of AI Ghosts The Rise of Humanoids IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Let's just say this isn't your average history recap. In the final episode of our Operation Paperclip series, we connect the dots between Nazi scientists, modern surveillance, moral decay, and the spiritual consequences of trading ethics for technological progress. From Neuralink to data manipulation, we peel back the shiny lab coat to expose the sinister roots—and lasting legacy—of Paperclip. The crew gets raw about the church's prophetic role, fifth-generation warfare, and whether we're building the next Babel. Here it is a full-spectrum analysis of power, eschatology, and what it means to resist with truth.https://unrefinedpodcast.com

Peggy unpacks the who, what, when, where, why, and how of quantum real estate—and what it means for the future of facilities. She says while quantum companies generated less than $750 million in revenue in 2024, forecasts suggest quantum computing could become a $100 billion industry by 2035. She also discusses: How hybrid facilities will function. Why quantum matters now. Her candid thoughts on what comes next and what we can do to prepare. peggysmedleyshow.com  (8/5/25 - 931) What You Might Have Missed:  AI Opportunities in a New World The Promise of Quantum All about Quantum IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Brian Kassalen, principal and construction industry leader, Baker Tilly, talk about AI (artificial intelligence) in construction. He says construction contractors have been slow to adopt technologies, but you can't have a conversation today with a contractor without having some conversation about AI. They also discuss: Historical labor challenges in construction and how AI can help contractors protect margins. How machine learning, digital twins, and predictive analytics can help. How AI can help with bidding and negotiation. bakertilly.com  (8/5/25 - 931) What You Might Have Missed:  AI in the Steel Industry Construction Safety: A Tech Toolbox Talk AEC: Two Big Challenges IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Brian Kassalen, Baker Tilly This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Al Ortega, James R. Birle endowed chair professor of energy technology, Villanova University and director of the National Science Foundation Center for Energy Smart Electronic Systems, talk about data centers, cooling systems, and sustainability issues within the data centers. He talks about the amount of power data centers use, saying in 2025 an equipment rack consumes about 100 kilowatts.  They also discuss: How data center consumption compares to consumption in a typical U.S. home. Cooling systems such as liquid cooling. The things we need to do to make data centers feasible. es2.villanova.edu  (8/5/25 - 931) What You Might Have Missed:  Server Farms, Data Centers, AI Factories, Oh My! All about Data Center Construction What's Driving Data Centers IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Al Ortega, Villanova University This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.