Podcasts about artificial

1. Robert Zubrin introduces The Case for Nukes, arguing that nuclear power is essential for environmental preservation and global prosperity. He posits that using "artificial" energy sources like uranium protects the natural world by sparing resources like wood and whales. Zubrin highlights the massive energy deficitfacing humanity, noting that lifting the global population out of poverty requires a five-to-tenfold increase in energy production. He critiques wind and solar as insufficient and land-intensive. Finally, he explains the basic physics of fission, emphasizing that uranium holds ten million times the energy of oil. (1)1951 LAS VEGAS

Harold Hughes written by Jon Saks Check out Jon's podcast SADISTIC here:  Spotify link Apple link If you want to leave me an anonymous question (or comment, or critique, or confession) click here: https://ngl.link/shelbyshark1 TRIGGER WARNINGS AVAILABLE AT THE BOTTOM OF THE SHOW NOTES. MAY CONTAIN SPOILERS. Intro music by Brandt Parks Leave me a voice mail! ‪(323) 546-8764‬ Ad Free version available on Patreon You can send your stories to: scareyoutosleep@gmail.comhttps://linktr.ee/ScareYouToSleep Music by Epidemic Sound and Co.AG Additional sound effects from Freesound.org S: truck pickup door open close real nice slam.flac by kyles | License: Creative Commons 0 S: windshield wipers fast by Rae_chuuu | License: Creative Commons 0 S: Inside_driving_car_in_rain_w_windshield_wipers.wav by videofueralle | License: Creative Commons 0 S: Truck Door Open and Close by Jofae | License: Creative Commons 0 S: WINDDsgn_A Snowstorm.A Blizzard.The Wind With Gusts.Howling.Artificial 1_EM by newlocknew | License: Attribution NonCommercial 4.0 S: Blizzard in the Forest at Midnight by daveincamas | License: Attribution NonCommercial 4.0   TW: brief gun shots Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

La masa de todo lo que hemos fabricado —edificios, carreteras, móviles, zapatillas de deporte— ya supera a la de todos los seres vivos del planeta. Cada semana se producen, por cada persona, el doble de su peso en objetos artificiales. Hay más plástico en el mundo que masa de todos los animales terrestres y marinos juntos. Y donde hace 10.000 años los animales salvajes eran el 99% de los mamíferos y aves, hoy apenas son el 1%. Repasamos las cifras más impactantes del Antropoceno, la era en la que el ser humano —que apenas representa el 0,01% de la biomasa— se ha convertido en la fuerza dominante sobre la faz de la Tierra. Bienvenidos a la madre de todas las macrogranjas. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Human intelligence is far too complex to have happened by chance. __________ Access Truth Rising The Study for FREE by visiting colsoncenter.org/study.

Zoning debates across metro Atlanta are becoming more complex as communities wrestle with growth, housing affordability and neighborhood opposition. Developers navigating today's approval process must balance strong housing demand with increased public scrutiny and evolving local policies. Michèle L. Battle, president of Battle Law, joins Host Carol Morgan on the Atlanta Real Estate Forum Radio podcast to discuss how zoning approvals and community expectations are reshaping development across Georgia. Georgia's Zoning Landscape Is Becoming More Complex Over the past 20 years, zoning approvals in metro Atlanta have become more challenging. Rapid population growth across the region contributes to increased housing demand and intensifies scrutiny of new projects. “When I first got into zoning law, it was really a period of growth that was happening in the metro Atlanta area,” said Battle. “But communities and government officials have become more and more sophisticated in how they are approaching zoning-related matters.” Many jurisdictions now rely on detailed, comprehensive plans and land-use strategies to guide development, limiting flexibility once a proposal reaches the zoning stage. At the same time, residents are more engaged in the process and more willing to voice concerns about density, design and neighborhood impact. As cities and counties refine long-term plans and respond to resident feedback, developers often encounter fewer flexible options and more extensive negotiations before receiving approval. Community Resistance and Housing Affordability Community opposition — often referred to as “Not in My Backyard” (NIMBY) — plays a significant role in zoning hearings today. Residents frequently raise concerns about density, traffic and school capacity while still hoping to attract new retail and restaurants to their communities. “Most of the communities don't want housing,” said Battle. “What they want are the amenities that go with the housing.” Retail and restaurant development typically follows population growth, but opposition to new housing can limit the density needed to support those businesses. Affordability sits at the center of many zoning debates as construction costs continue to rise and buyers struggle to keep up with higher home prices. Many Atlanta homeowners purchased their properties decades ago at far lower prices. Today's first-time homebuyers face a dramatically different market. “Our children can't buy a house because they can't afford a $400,000 home,” said Battle. “And if we want them out of our houses, we have to figure out how to build something they can buy.” Social Media and AI Are Influencing Zoning Battles Technology is accelerating the formation of public opinion around development proposals. Projects can gain attention online long before developers formally present them to planning commissions or local officials. Artificial intelligence is also beginning to appear in zoning hearings in unexpected ways. “I've now been at hearings where it is very clear that people are getting up to the podium and reading straight off an AI script,” said Battle. “They'll ask AI what the opposition would be to this project and then read two or three pages of information.” While technology has increased public engagement, it has also contributed to misinformation about development and housing economics. Litigation Isn't Always the Best Path Zoning disputes sometimes lead to lawsuits, but most developers prefer negotiation and compromise. Court battles can delay projects for months or even years while adding significant legal costs and uncertainty. “I pride myself on trying to win my cases so that I don't have to send them to all the amazing litigators that I know.” Even when developers prevail in court, the decision often sends the project back through the same local approval process that sparked the dispute. That reality reinforces the value of addressing concerns early with local officials and residents rather than relying on litigation. Three Steps Developers Should Take Before Filing Rezoning Developers can take several proactive steps before filing a rezoning application: Meet with planning departments to understand expectations and review recent cases Meet with the elected official representing the district to discuss development priorities Engage the surrounding community early in the process Battle emphasizes that the key to a successful new development is “communication, communication and more communication” to prevent unnecessary scrutiny. Consistency and Predictability in Zoning Codes A lack of predictability remains one of the biggest challenges developers face in the zoning process. Local governments often approve rezonings but attach numerous conditions that extend beyond existing ordinances. In some cases, those conditions even contradict the zoning code itself. Battle said, “I should be able to come in and apply for R-3 or R-5 or whatever it is and not have to worry about you putting 15 conditions on me that go outside of what you've put in your zoning code.” Greater consistency helps developers make informed investment decisions and reduce uncertainty in the entitlement process. Addressing Tensions Around Growth and Equity Battle also pointed to ongoing tension surrounding development patterns across metro Atlanta. In some communities, residents believe they are not receiving the same level of investment or housing quality as in other areas. Many of these concerns stem from misunderstandings about development economics, construction costs and housing pricing. Battle believes that greater transparency around how housing is financed, built and priced could help communities better understand the challenges developers face and the constraints shaping today's housing market. Tune in to the full episode to hear more insights on navigating Georgia's evolving zoning landscape and the strategies developers can use to move projects forward. To learn more about Battle Law, visit https://BattleLawPC.com/. About Battle Law Battle Law P.C. guides developers, property owners and organizations through the complex world of zoning, land use and permitting in Georgia. The firm provides hands-on support with rezoning applications, land development, variances and commercial real estate transactions, helping clients navigate approvals and avoid costly delays. With a focus on practical solutions and clear guidance, the firm combines legal expertise with strategic insight to help projects succeed. Podcast Thanks Thank you to Denim Marketing for sponsoring Atlanta Real Estate Forum Radio. Known as a trendsetter, Denim Marketing has been blogging since 2006 and podcasting since 2011. Contact them when you need quality, original content for social media, public relations, blogging, email marketing and promotions. A comfortable fit for companies of all shapes and sizes, Denim Marketing understands marketing strategies are not one-size-fits-all. The agency works with your company to create a perfectly tailored marketing strategy that will suit your needs and niche. Try Denim Marketing on for size by calling 770-383-3360 or by visiting www.DenimMarketing.com. About Atlanta Real Estate Forum Radio Atlanta Real Estate Forum Radio, presented by Denim Marketing, highlights the movers and shakers in the Atlanta real estate industry – the home builders, developers, Realtors and suppliers working to provide the American dream for Atlantans. For more information on how you can be featured as a guest, contact Denim Marketing at 770-383-3360 or fill out the Atlanta Real Estate Forum contact form. Subscribe to the Atlanta Real Estate Forum Radio podcast on iTunes, and if you like this week's show, be sure to rate it. Atlanta Real Estate Forum Radio was recently honored on FeedSpot's Top 100 Atlanta Podcasts, ranking 16th overall and number one out of all ranked real estate podcasts. The post Battle Law: The New Reality of Zoning in Georgia appeared first on Atlanta Real Estate Forum.

Debate da Super Manhã: As eleições de 2026 colocam a democracia diante de um novo desafio: o avanço da inteligência artificial no ambiente político. Se, por um lado, as ferramentas de IA ampliam o alcance da informação, otimizam campanhas e aproximam candidatos dos eleitores, por outro, intensificam riscos como a desinformação, a manipulação de conteúdos e o uso de deepfakes. No debate desta quarta-feira (18), a comunicadora Natalia Ribeiro conversa com os nossos convidados sobre a regulamentação e o controle da tecnologia, os impactos na democracia, as perspectivas para o futuro, o processo democrático e as ferramentas de IA. Participam o advogado municipalista, mestre em Direito e Compliance e especialista em Direito Eleitoral, Antonio Ribeiro Júnior; o advogado especialista em Direito Eleitoral e vice-presidente da Caixa de Assistência da advocacia de Pernambuco (CAAPE), Delmiro Campos; e o advogado, cientista político e professor de Direito Constitucional e Eleitoral, Felipe Ferreira Lima.

Is A.I. coming for your job? In the finale, we continue our story about the rise of a new kind of artificial intelligence: the A.I. agent. Along the way, we hear about a growing concern in the AI industry...a concern that the technology plateauing. Episode powered by The Licorice Guy.Support the show: https://redpilledamerica.com/support/See omnystudio.com/listener for privacy information.

Artificial intelligence isn’t just a technological breakthrough—it’s a global power struggle shaping the future of jobs, politics, and national security. In this episode, Wynton Hall joins the show to discuss his new book Code Red: The Left, The Right, China, and the Race to Control AI, breaking down why AI is no longer just a tool—but a form of political and economic power. From the rapid rise of ChatGPT and transformer technology to the growing concerns over bias in large language models, Hall explains how AI is already embedded in everyday life—even when most Americans don’t realize it. He also outlines the biggest risks ahead, including job displacement, misinformation, AI “hallucinations,” and the erosion of critical thinking. The conversation dives deep into the geopolitical stakes, exploring why the U.S.-China AI race could rival the nuclear arms race—and how technologies like recursive self-improvement could reshape military dominance. Plus, a closer look at data privacy, surveillance concerns, and how governments and tech companies may influence what information users see. Key topics include: The hidden political bias inside AI systems AI’s impact on jobs, education, and society The growing threat of deepfakes and misinformation China’s AI ambitions vs. U.S. innovation Data privacy, surveillance, and security risks Why AI could redefine the global balance of power As AI continues to accelerate, this episode offers a critical look at what’s coming next—and what it means for individuals, families, and the future of freedom.See omnystudio.com/listener for privacy information.

Se a geração anterior buscava estabilidade em uma única "firma", a nossa é desafiada a navegar por múltiplas trajetórias. Entre o impacto da Inteligência Artificial e a busca por autonomia, como transformar a angústia da mudança em um motor de transição? Neste episódio, Ju Wallauer conversa com Ana Freitas, Ana Franzotti e Lorenzo Mendoza sobre a "troca de pele" profissional, abordando o poliamor profissional, a importância de calçar a "sandália da humildade" para voltar a ser aprendiz e por que investir em Boring Businesses pode ser o segredo para uma mente mais tranquila. Vem com a gente entender por que está tudo bem não saber de tudo e como reconstruir sua narrativa no mercado

Artificial intelligence is being sold as either the next industrial revolution or the end of humanity, but how much of that is hype? In this episode, John Odermatt sits down with Marty Milligan, founder of Digital On-Ramp WSI, to cut through the AI marketing machine and discuss what AI can actually do today. They explore whether AI poses real job threats, examine the data center infrastructure boom, and address concerns about government surveillance versus sci-fi singularity fears. Marty shares practical advice for small businesses looking to leverage AI tools effectively. The conversation challenges common narratives around AI job loss, energy concerns, and doomsday scenarios while highlighting the real opportunities and risks businesses need to understand. Chapters 0:00 - Introduction: Cutting Through the AI Hype 2:29 - Meet Marty Milligan: From EDS to AI Consulting 5:35 - How Worried Should We Be About AI? 8:49 - Job Loss and Corporate Downsizing: AI's Real Impact 12:27 - Is AI in a Bubble? Comparing to the Dotcom Era 17:29 - Using Multiple AI Models: Why Vendor Diversification Matters 22:31 - Data Centers: Separating Fear from Reality 33:50 - The Singularity and Skynet: Should We Fear AI Taking Over? 40:19 - Practical AI for Small Businesses and Solopreneurs 44:00 - The Most Overrated AI Claims Links: Marty Milligan's Resources: AI.MountainStateDigitalLLC.com - Free AI books for small businesses including Chat GPT guide and prompt book SPONSOR: This episode is brought to you by Fox and Sons Coffee – fresh, high-quality coffee shipped directly to your door, available as whole bean or ground. Get 15% off orders of $40 or more with promo code JOHN at checkout. Visit: FoxNSons.com SUPPORT LIONS OF LIBERTY: Help keep this podcast going! We rely on listener support to continue bringing you content on freedom, political reform, and personal empowerment. Support us on Patreon: https://patreon.com/lionsoflibertySupport us on Locals: https://lionsofliberty.locals.com/ Subscribe, rate, and review wherever you listen – it makes a huge difference! Learn more about your ad choices. Visit megaphone.fm/adchoices

Artificial intelligence is no longer a future conversation for law firms; it is already reshaping how legal work gets done. In this episode, Gina Rubel and Jennifer Simpson Carr discuss insights from several recent legal industry conferences, exploring how AI is shifting the value of legal services toward strategic judgment, why firms must rethink processes before adopting new technology, and how talent development must evolve.

Luxury appliances are no longer defined by visibility—they're defined by intentional invisibility, precision performance, and seamless integration. At KBIS 2026, SKS reveals how thoughtful innovation, AI integration, and designer collaboration are reshaping the kitchen into a quieter, smarter, more intuitive environment. This is the emergence of a new user: the Technicurean. John Russo explains how Signature Kitchen Suite is redefining luxury through purposeful technology, invisible induction, behavioral AI, and collaborative product development. The future kitchen doesn't demand attention—it anticipates needs, enhances experiences, and disappears into the architecture. At the Kitchen & Bath Industry Show, innovation isn't simply introduced—it's tested, challenged, and refined in real time. For Signature Kitchen Suite, KBIS functions as a live laboratory where designers, builders, and specifiers provide critical feedback that directly shapes future product development. John Russo shares how SKS approaches innovation deliberately, prioritizing purposeful performance over novelty. From invisible induction cooktops integrated beneath countertops to AI-powered refrigeration that anticipates user behavior, the goal is not to showcase technology—but to integrate it so seamlessly that it enhances daily life without disrupting it. This conversation explores the rise of the Technicurean—a new luxury consumer who values precision, connectivity, and design harmony equally. Through quiet luxury, behavioral intelligence, and deep collaboration with the design community, SKS is building an ecosystem where appliances become architectural infrastructure rather than standalone objects. KBIS as a Live Product Development Environment KBIS functions as a real-world testing ground for future innovation. Designers provide immediate feedback that shapes product refinement. Concept products are introduced early to validate design direction. Direct interaction between engineers and specifiers accelerates innovation. Quiet Luxury: The New Definition of Premium Quiet luxury shifts focus from visual dominance to experiential excellence. Core principles: Appliances integrate seamlessly into architecture. Minimal visual disruption supports design continuity. Performance becomes more important than appearance. Acoustic comfort is essential—refrigeration operating around 38–39 dB. Luxury is defined by how appliances make life easier, not how they look. Invisible Induction and Architectural Integration SKS is exploring cooktop technology that disappears completely into the countertop. Implications: Cooking surfaces no longer interrupt architectural surfaces. Light-guided induction zones provide precision without visual clutter. Appliances transition from objects into embedded infrastructure. Product development includes multi-year concept validation cycles. The Rise of the “Technicurean” Consumer The Technicurean represents a growing demographic combining technological fluency with culinary passion. Characteristics: Values precision cooking and performance. Expects seamless integration with digital ecosystems. Prioritizes experiential quality over feature quantity. Younger luxury consumers are accelerating this shift. Purposeful AI: Technology That Anticipates Behavior AI is being applied to solve practical problems rather than simply introduce novelty. Examples: AI-powered refrigeration anticipates usage patterns and adjusts cooling. Oven cameras identify food and automatically adjust cooking parameters. Remote monitoring allows users to supervise cooking from anywhere. Automation reduces cognitive load and improves consistency. Applicable Link: LG ThinQ Precision and Performance as the Foundation of Luxury SKS emphasizes engineering performance alongside design integration. Examples: Induction ranges with 7,000-watt burners capable of boiling water in under a minute. Column refrigeration producing clear craft ice. Precision temperature management improves food preservation. Technology enhances outcomes, not just convenience. Collaborative Design as a Product Development Strategy Designers directly influence final product form and function. Process includes: Design collective consultations. Specifier surveys and feedback loops. Prototype testing and iteration cycles. Cabinet alignment, integration, and architectural consistency driven by designer input. Full Home Automation and the Appliance Ecosystem Appliances are becoming integrated nodes within larger home ecosystems. Capabilities include: Voice-controlled appliances. Integrated lighting, HVAC, and appliance automation. Recipe-driven automated cooking processes. Unified control across multiple home systems. The Invisible Kitchen: How Quiet Luxury and Behavioral Technology Are Redefining Appliance Design For decades, luxury appliances were designed to be seen. Professional-grade stainless steel, oversized handles, and bold visual presence signaled performance and status. But today, the most important innovation in the luxury kitchen may be its disappearance. Signature Kitchen Suite is helping lead a shift toward what it calls quiet luxury—a design philosophy where performance is paramount, but visibility is optional. The goal is no longer to showcase the appliance itself, but to integrate it so seamlessly into the architectural environment that it becomes invisible. This shift reflects a deeper evolution in how luxury is defined. True luxury is no longer about visual dominance. It's about effortlessness. Concepts like invisible induction cooktops illustrate this transformation. By placing induction elements beneath the countertop surface, cooking becomes fully integrated into the architecture. When inactive, the kitchen appears uninterrupted. When active, subtle lighting indicates where heat is applied. The appliance becomes infrastructure. This philosophy extends beyond aesthetics into performance and intelligence. Artificial intelligence is now being used to anticipate user behavior and improve outcomes. Refrigeration systems can monitor usage patterns and adjust cooling cycles to maintain temperature stability. Oven cameras can identify food and automatically adjust cooking settings. These technologies operate quietly, improving consistency without requiring intervention. Importantly, this innovation is not happening in isolation. Events like KBIS provide critical real-world validation. Designers, builders, and specifiers offer immediate feedback, allowing manufacturers to refine products before full release. This collaborative approach ensures that innovation aligns with how kitchens are actually designed and used. It also reflects the emergence of a new consumer profile: the Technicurean. This user values precision, connectivity, and design equally. They are comfortable with technology but expect it to serve a clear purpose. They prioritize performance and integration over novelty. For them, the kitchen is not simply a functional workspace—it is part of a larger lifestyle ecosystem. This shift is also generational. Younger homeowners have grown up with connected technology and expect seamless integration across devices. Appliances must function as part of a unified system rather than standalone tools. The ultimate goal is not to add complexity, but to remove friction. Automation, behavioral learning, and architectural integration all contribute to this objective. Appliances anticipate needs, simplify processes, and reduce cognitive load. They enhance experience without demanding attention. In this future, the most advanced appliances will not announce themselves. They will disappear. And in doing so, they will redefine luxury—not as something you see, but as something you feel.

Medical errors related to misdiagnoses contribute to an estimated $870 billion in waste in the U.S. each year. Artificial intelligence...[…]

Artificial intelligence is being sold as either the next industrial revolution or the end of humanity, but how much of that is hype? In this episode, John Odermatt sits down with Marty Milligan, founder of Digital On-Ramp WSI, to cut through the AI marketing machine and discuss what AI can actually do today. They explore whether AI poses real job threats, examine the data center infrastructure boom, and address concerns about government surveillance versus sci-fi singularity fears. Marty shares practical advice for small businesses looking to leverage AI tools effectively. The conversation challenges common narratives around AI job loss, energy concerns, and doomsday scenarios while highlighting the real opportunities and risks businesses need to understand. Chapters 0:00 - Introduction: Cutting Through the AI Hype 2:29 - Meet Marty Milligan: From EDS to AI Consulting 5:35 - How Worried Should We Be About AI? 8:49 - Job Loss and Corporate Downsizing: AI's Real Impact 12:27 - Is AI in a Bubble? Comparing to the Dotcom Era 17:29 - Using Multiple AI Models: Why Vendor Diversification Matters 22:31 - Data Centers: Separating Fear from Reality 33:50 - The Singularity and Skynet: Should We Fear AI Taking Over? 40:19 - Practical AI for Small Businesses and Solopreneurs 44:00 - The Most Overrated AI Claims Links: Marty Milligan's Resources: AI.MountainStateDigitalLLC.com - Free AI books for small businesses including Chat GPT guide and prompt book SPONSOR: This episode is brought to you by Fox and Sons Coffee – fresh, high-quality coffee shipped directly to your door, available as whole bean or ground. Get 15% off orders of $40 or more with promo code JOHN at checkout. Visit: FoxNSons.com SUPPORT LIONS OF LIBERTY: Help keep this podcast going! We rely on listener support to continue bringing you content on freedom, political reform, and personal empowerment. Support us on Patreon: https://patreon.com/lionsoflibertySupport us on Locals: https://lionsofliberty.locals.com/ Subscribe, rate, and review wherever you listen – it makes a huge difference! Learn more about your ad choices. Visit megaphone.fm/adchoices

Human connection is necessary for good health. Jim Daly explains why human relationship is so important to our well-being that we’ll create artificial versions when we lack the real thing. Support Family Ministry If you enjoyed listening to Focus on the Family Commentary, please give us your feedback.

The world of work is changing faster than ever.Artificial intelligence is reshaping industries. Traditional career paths are evolving. And the old model of depending solely on titles, credentials, and companies is quietly fading.So what does this mean for your future?In this episode of the Kellechie Speaks Podcast, we explore the major shift happening in the modern workforce and why adaptability, discernment, and entrepreneurial thinking are becoming essential skills in the years ahead.You'll learn:• Why knowledge alone is no longer the advantage it once was• How the “Kodak outcome” warns us about failing to adapt• Why the future rewards independent thinkers and problem solvers• How believers can prepare for the new era of work with wisdom, faith, and strategyThe goal is no longer finding one perfect career path.It's developing a collection of skills that travel with you wherever God leads.The future of work belongs to those who are willing to grow, adapt, and build.

Kory Daniels, Chief Security and Trust Officer at LevelBlue, discusses the multifaceted cybersecurity challenges in the healthcare industry and the risks posed by legacy systems not designed for secure internet connectivity. Artificial intelligence is being used successfully to defend against cyber attacks, while threat actors are using AI without ethical constraints to launch sophisticated attacks. Managing cybersecurity includes using digital twins to model vulnerabilities and to develop strategies for identity and access management for human and non-human identities, such as robots and AI agents.  Kory explains, "We must recognize that we're not starting from a clean slate - we have a lot of decades-old systems operating both within the physical footprint of the healthcare and hospital facility and in record retention and data management. Many organizations are looking at how to get ahead in identifying what needs to happen to embrace new technology and much of the innovation. At the same time, being conscious and cognizant of opportunities to retrofit, taking what's there already today and making it internet-connected as an example, making it Internet of Things-connected so that devices that weren't purpose-built to communicate to the internet now can communicate to the internet, but it creates some risks and it poses some challenges."   "We highlighted that some of these legacy systems or initial systems that have been in the organization for years, some 10 years or more, were not necessarily purpose-built or designed at the time of manufacturing, nor with the software needed for those tools to operate with current speed, expectations, and requirements. Healthcare entities are engaging both patients and supporting care doctors and patient care professionals in 2026 and beyond."  #LevelBlue #HealthcareCybersecurity #DigitalTransformation #AIinHealthcare #LegacySystems #PatientSafety #CyberThreats #HealthTech #DataSecurity #MedicalDevices #DigitalHealth #HealthcareIT #CyberDefense #HealthcareInnovation #RiskManagement #ComplianceMatters LevelBlue.com Listen to the podcast here

Kory Daniels, Chief Security and Trust Officer at LevelBlue, discusses the multifaceted cybersecurity challenges in the healthcare industry and the risks posed by legacy systems not designed for secure internet connectivity. Artificial intelligence is being used successfully to defend against cyber attacks, while threat actors are using AI without ethical constraints to launch sophisticated attacks. Managing cybersecurity includes using digital twins to model vulnerabilities and to develop strategies for identity and access management for human and non-human identities, such as robots and AI agents.  Kory explains, "We must recognize that we're not starting from a clean slate - we have a lot of decades-old systems operating both within the physical footprint of the healthcare and hospital facility and in record retention and data management. Many organizations are looking at how to get ahead in identifying what needs to happen to embrace new technology and much of the innovation. At the same time, being conscious and cognizant of opportunities to retrofit, taking what's there already today and making it internet-connected as an example, making it Internet of Things-connected so that devices that weren't purpose-built to communicate to the internet now can communicate to the internet, but it creates some risks and it poses some challenges."   "We highlighted that some of these legacy systems or initial systems that have been in the organization for years, some 10 years or more, were not necessarily purpose-built or designed at the time of manufacturing, nor with the software needed for those tools to operate with current speed, expectations, and requirements. Healthcare entities are engaging both patients and supporting care doctors and patient care professionals in 2026 and beyond."  #LevelBlue #HealthcareCybersecurity #DigitalTransformation #AIinHealthcare #LegacySystems #PatientSafety #CyberThreats #HealthTech #DataSecurity #MedicalDevices #DigitalHealth #HealthcareIT #CyberDefense #HealthcareInnovation #RiskManagement #ComplianceMatters LevelBlue.com Download the transcript here

Medical errors related to misdiagnoses contribute to an estimated $870 billion in waste in the U.S. each year. Artificial intelligence...

Episode Overview: Dlaczego Kłamiemy (Why We Lie) This episode explores vocabulary related to lying (kłamstwo), truth (prawda), trust (zaufanie), and human behavior (zachowanie człowieka) in Polish. We dive into how to discuss deception, honesty, social masks, and the complex reasons people hide the truth – all in practical, everyday Polish.   Welcome to the Learn Polish Podcast – your immersive gateway to mastering Polish through real conversations, cultural insights, and practical everyday language. Each episode blends authentic Polish dialogue with clear English explanations, helping you build vocabulary naturally while exploring Polish psychology, social dynamics, and human behavior topics. Whether you're a complete beginner or advancing your skills, join us as we make learning Polish engaging, practical, and fun. From lying (kłamstwo) to truth (prawda), we cover the phrases you actually need for deeper conversations. Find more episodes, lesson materials, and resources at www.learnpolishpodcast.com. You can also find us on YouTube, Spotify, and Rumble. Looking for virtual assistance? Visit va.world. Join our school groups – links in the show notes. Need lessons in Polish or Spanish from Ania? Check the links for both audio and video content.   English Polish Pronunciation Example Usage Lie (noun) Kłamstwo kwahm-STVO To jest kłamstwo. (This is a lie.) Lie (verb) Kłamać KWA-mach On kłamie. (He is lying.) Liar Kłamca KWAHM-tsah On jest kłamcą. (He is a liar.) Truth Prawda PRAHV-dah Mów prawdę. (Tell the truth.) True Prawdziwy prahv-DZEE-vih Prawdziwa historia. (True story.) False Fałszywy fow-SHIH-vih Fałszywe informacje. (False information.) Trust Zaufanie zow-FAH-nyeh Mam zaufanie. (I have trust.) Distrust Nieufność nyeh-uf-NOSHCH Nieufność do ludzi. (Distrust of people.) Honesty Uczciwość oo-CHCHEEV-oshch Cenię uczciwość. (I value honesty.) Dishonesty Nieuczciwość nyeh-oo-CHCHEEV-oshch Nieuczciwość boli. (Dishonesty hurts.) Deception Oszustwo oh-SOOST-vo To było oszustwo. (That was deception.) Deceive Oszukiwać o-soo-KEE-vach On oszukuje. (He deceives.) Secret Sekret SEH-kret To mój sekret. (This is my secret.) Hide (verb) Ukrywać oo-KRIH-vach Ukrywam prawdę. (I hide the truth.) Mask Maska MAH-skah Nosimy maski. (We wear masks.) Face Twarz tfarsh Prawdziwa twarz. (True face.) Behavior Zachowanie za-kho-VAH-nyeh Dziwne zachowanie. (Strange behavior.) Action Działanie dzyah-WAH-nyeh Twoje działania. (Your actions.) Reaction Reakcja reh-AK-tsya Reakcja na kłamstwo. (Reaction to the lie.) Emotion Emocja eh-MO-tsya Ukrywać emocje. (Hide emotions.) Feeling Uczucie oo-CHOO-tseh Prawdziwe uczucia. (True feelings.) Thought Myśl mishl Moje myśli. (My thoughts.) Belief Przekonanie psheh-ko-NAH-nyeh Moje przekonania. (My beliefs.) Opinion Opinia o-PEE-nya Twoja opinia. (Your opinion.) Judgment Osąd O-soont Nie osądzaj. (Don't judge.) Guilt Wina / Poczucie winy VEE-nah / po-CHOO-tseh VEE-nih Czuję winę. (I feel guilt.) Shame Wstyd vstit To wstydliwe. (It's shameful.) Fear Strach strakh Strach przed prawdą. (Fear of truth.) Shame (verb) Wstydzić się vsti-DZEECH sheh Wstydzę się. (I'm ashamed.) Protect Chronić HRO-neech Chronię siebie. (I protect myself.) Defense Obrona ob-RO-nah Mechanizm obronny. (Defense mechanism.) Mechanism Mechanizm meh-KHAH-nizm Mechanizm obronny. (Defense mechanism.) Reason Powód PO-voot Jaki powód? (What reason?) Purpose Cel tsel Jaki cel? (What purpose?) Intention Zamiar ZAH-myahr Mój zamiar. (My intention.) Motive Motyw MO-tif Ukryty motyw. (Hidden motive.) Benefit Korzyść KO-zishch Jaka korzyść? (What benefit?) Advantage Zaleta zah-LEH-tah Zaleta kłamstwa. (Advantage of lying.) Disadvantage Wada / Niedogodność VAH-dah / nyeh-dog-OD-noshch Wada kłamstwa. (Disadvantage of lying.) Consequence Konsekwencja kon-seh-KVEN-tsya Konsekwencje kłamstw. (Consequences of lies.) Result Wynik VIH-nik Wynik działania. (Result of action.) Evidence Dowód DO-voot Brak dowodów. (No evidence.) Proof Dówód / Potwierdzenie do-Voot / pot-vyer-DZEN-yeh Potrzebuję dowodu. (I need proof.) Doubt Wątpliwość vont-PLEEV-oshch Mam wątpliwości. (I have doubts.) Suspicion Podejrzenie po-deh-ZHEN-yeh Moje podejrzenia. (My suspicions.) Accusation Oskarżenie o-skar-ZHEN-yeh Fałszywe oskarżenie. (False accusation.) Forgiveness Wybaczenie vih-bah-CHEN-yeh Proszę o wybaczenie. (I ask for forgiveness.) Apology Przeprosiny psheh-pro-SEE-nih Moje przeprosiny. (My apologies.) Admit Przyznać się pshi-ZNAHCH sheh Przyznaję się. (I admit.) Deny Zaprzeczać zah-PSHEH-chach On zaprzecza. (He denies.) Confess Wyznać vih-ZNAHCH Wyznaję prawdę. (I confess the truth.) Expose Odsłonić / Ujawnić od-SWO-neech / oo-YAV-neech Odsłonić prawdę. (Expose the truth.) Reveal Ujawnić oo-YAV-neech Ujawnić sekret. (Reveal the secret.) Discover Odkryć od-KRIHCH Odkryć kłamstwo. (Discover the lie.) Realize Zdać sobie sprawę / Uświadomić sobie ZDAHCH SOH-byeh SPRAH-veh / oo-shvah-DO-meech SOH-byeh Zdałem sobie sprawę. (I realized.) Understand Rozumieć ro-ZOO-myech Rozumiem dlaczego. (I understand why.) Accept Akceptować ak-tsep-TO-vach Akceptuję prawdę. (I accept the truth.) Change Zmiana ZMYAH-nah Czas na zmianę. (Time for change.) Growth Rozwój roz-VOOY Osobisty rozwój. (Personal growth.) Self Ja / Siebie yah / SHEH-byeh Moje prawdziwe ja. (My true self.) Ego Ego EH-go Moje ego. (My ego.) Identity Tożsamość toh-shah-MOSHCH Moja tożsamość. (My identity.) Image Wizerunek vee-zeh-ROO-nek Publiczny wizerunek. (Public image.) Reputation Reputacja re-poo-TA-tsya Moja reputacja. (My reputation.) Social Społeczny spo-WECH-nih Normy społeczne. (Social norms.) Society Społeczeństwo spo-weh-CHEN-stvo W naszym społeczeństwie. (In our society.) Culture Kultura kool-TOO-rah Kultura kłamstwa. (Culture of lying.) Relationship Relacja / Związek re-LA-tsya / ZVYON-zek Relacje z ludźmi. (Relationships with people.) Communication Komunikacja ko-moo-nee-KA-tsya Sztuka komunikacji. (Art of communication.) Conversation Rozmowa roz-MO-vah Szczera rozmowa. (Honest conversation.) Silence Cisza CHEE-shah Niekomfortowa cisza. (Uncomfortable silence.) Speak Mówić MOO-veech Mów prawdę. (Speak the truth.) Listen Słuchać SWOO-hach Słuchaj uważnie. (Listen carefully.) Hear Słyszeć SWIH-sheh Słyszę cię. (I hear you.) See Widzieć VEE-dyech Widzę prawdę. (I see the truth.) Look Patrzeć PAH-tcheh Patrz na mnie. (Look at me.) Watch Obserwować ob-ser-VO-vach Obserwuję zachowanie. (I watch behavior.) Notice Zauważyć zow-NAH-vihch Zauważyłem kłamstwo. (I noticed the lie.) Recognize Rozpoznać roz-POZ-nach Rozpoznać kłamcę. (Recognize the liar.) Remember Pamiętać pah-MYEN-tach Pamiętam prawdę. (I remember the truth.) Forget Zapomnieć zah-POM-nyech Zapomnieć kłamstwo. (Forget the lie.) Forgive Wybaczyć vih-BAH-chih Wybaczam ci. (I forgive you.) Trust (verb) Ufać OO-fach Ufam ci. (I trust you.) Believe Wierzyć VYEH-zihch Wierzę w ciebie. (I believe in you.) Doubt (verb) Wątpić VONT-peech Wątpię w to. (I doubt it.) Question Kwestionować / Pytać kves-tyo-NO-vach / PIH-tach Kwestionować wszystko. (Question everything.) Answer Odpowiedź od-PO-vyesh Szczera odpowiedź. (Honest answer.) Ask Pytać PIH-tach Pytaj o prawdę. (Ask about the truth.) Tell Powiedzieć po-VYEH-dyech Powiedz prawdę. (Tell the truth.) Say Mówić / Powiedzieć MOO-veech / po-VYEH-dyech Co chcesz powiedzieć? (What do you want to say?) Mean Znaczyć ZNAH-chih Co to znaczy? (What does it mean?) Explain Wyjaśnić vih-YASH-neech Wyjaśnij mi. (Explain to me.) Understand (noun) Zrozumienie zro-zoo-MYEN-yeh Brak zrozumienia. (Lack of understanding.) Misunderstanding Nieporozumienie nyeh-po-ro-zoo-MYEN-yeh To nieporozumienie. (This is a misunderstanding.) Conflict Konflikt KON-flikt Konflikt z prawdą. (Conflict with truth.) Resolution Rozwiązanie roz-vy-ZA-nyeh Rozwiązanie problemu. (Resolution of the problem.) Peace Spokój SPO-kooy Wewnętrzny spokój. (Inner peace.) Harmony Harmonia har-MO-nya Harmonia z prawdą. (Harmony with truth.) Authentic Autentyczny ow-ten-TIH-nih Autentyczny człowiek. (Authentic person.) Genuine Prawdziwy / Szczery prahv-DZEE-vih / SHCHEH-rih Szczery człowiek. (Genuine person.) Sincere Szczery SHCHEH-rih Szczere przeprosiny. (Sincere apologies.) Fake Fałszywy / Sztuczny fow-SHIH-vih / SHTOOCH-nih Fałszywy uśmiech. (Fake smile.) Real Prawdziwy / Rzeczywisty prahv-DZEE-vih / zheh-CHIH-vistih Prawdziwa twarz. (Real face.) Natural Naturalny nah-too-RAHL-nih Naturalne zachowanie. (Natural behavior.) Artificial Sztuczny SHTOOCH-nih Sztuczny świat. (Artificial world.) Deep Głęboki gwem-BO-kee Głęboka prawda. (Deep truth.) Surface Powierzchnia / Powierzchowny po-vyer-HNYAH / po-vyer-HHOV-nih Powierzchowna prawda. (Surface truth.) Complex Złożony ZWO-zho-nih Złożona sytuacja. (Complex situation.) Simple Prosty PRO-stih Prosta prawda. (Simple truth.) Complicated Skomplikowany skom-plee-KO-vah-nih Skomplikowana relacja. (Complicated relationship.) Clear Jasny YAH-snih Jasna sprawa. (Clear matter.) Confused Zmieszany zmyeh-SHAH-nih Jestem zmieszany. (I'm confused.) Certain Pewny PEHV-nih Jestem pewny. (I'm certain.) Uncertain Niepewny nyeh-PEHV-nih Jestem niepewny. (I'm uncertain.) Sure Pewny / Na pewno PEHV-nih / nah PEHV-no Na pewno? (For sure?) Maybe Może MO-zheh Może tak, może nie. (Maybe yes, maybe no.) Probably Prawdopodobnie prahv-do-POD-ob-nyeh Prawdopodobnie tak. (Probably yes.) Possibly Możliwie MOZH-li-vyeh Wszystko jest możliwe. (Everything is possible.) Impossible Niemożliwe nyeh-mozh-LI-vyeh To niemożliwe. (That's impossible.) Possible Możliwe mozh-LI-vyeh To możliwe. (That's possible.) Right Prawo / Prawidłowy / Słuszny PRAH-vo / prah-vee-DWO-vih / SWOOCH-nih Masz rację. (You're right.) Wrong Zło / Nieprawidłowy / Błędny zwo / nyeh-prah-vee-DWO-vih / BWEN-dnih Masz błąd. (You're wrong.) Correct Poprawny po-PRAHV-nih Poprawna odpowiedź. (Correct answer.) Incorrect Niepoprawny nyeh-po-PRAHV-nih Niepoprawna informacja. (Incorrect information.) Good Dobry DO-brih Dobry człowiek. (Good person.) Bad Zły zwih Zły uczynek. (Bad deed.) Moral Moralny mo-RAHL-nih Moralny dylemat. (Moral dilemma.) Immoral Niemoralny nyeh-mo-RAHL-nih Niemooralne zachowanie. (Immoral behavior.) Ethical Etyczny eh-TIH-ch-nih Etyczna decyzja. (Ethical decision.) Unethical Nieetyczny nyeh-eh-TIH-ch-nih Nieetyczne postępowanie. (Unethical conduct.) Legal Legalny leh-GAHL-nih Legalne działanie. (Legal action.) Illegal Nielegalny nyeh-leh-GAHL-nih Nielegalne działanie. (Illegal action.) Allowed Dozwolone doz-vo-LO-neh To jest dozwolone. (This is allowed.) Forbidden Zabronione zah-bro-NEE-oneh To jest zabronione. (This is forbidden.) Permission Pozwolenie poz-vo-LEN-yeh Mam pozwolenie. (I have permission.) Prohibition Zakaz ZAH-kahs Zakaz kłamstwa. (Prohibition of lying.) Rule Zasada zah-SAH-dah Zasada uczciwości. (Rule of honesty.) Exception Wyjątek vih-YON-tek Wyjątek od reguły. (Exception to the rule.) Norm Norma NOR-mah Społeczna norma. (Social norm.) Standard Standard STAN-dahrt Wysoki standard. (High standard.) Expectation Oczekiwanie o-cheh-kee-VAH-nyeh Twoje oczekiwania. (Your expectations.) Pressure Presja PREH-shah Presja społeczna. (Social pressure.) Stress Stres strehs Stres przed kłamstwem. (Stress before lying.) Anxiety Lęk / Niepokój wenk / nyeh-PO-kooy Lęk przed prawdą. (Anxiety about truth.) Comfort Komfort KOM-fort Strefa komfortu. (Comfort zone.) Discomfort Dyskomfort / Niekonfort dis-KOM-fort / nyeh-kom-FORT Poczucie dyskomfortu. (Feeling of discomfort.) Safety Bezpieczeństwo beh-pyeh-CHEHN-stvo Poczucie bezpieczeństwa. (Feeling of safety.) Danger Niebezpieczeństwo nyeh-beh-pyeh-CHEHN-stvo Niebezpieczeństwo prawdy. (Danger of truth.) Risk Ryzyko RIH-zih-ko Ryzyko kłamstwa. (Risk of lying.) Reward Nagroda nah-GRO-dah Nagroda za prawdę. (Reward for truth.) Punishment Kara KAH-rah Kara za kłamstwo. (Punishment for lying.) Consequence Konsekwencja kon-seh-KVEN-tsya Konsekwencje działania. (Consequences of action.) Cause Przyczyna pshih-CHIH-nah Przyczyna kłamstwa. (Cause of lying.) Effect Efekt / Skutek EH-fekt / SKOO-tek Efekt uboczny. (Side effect.) Reason Powód PO-voot Główny powód. (Main reason.) Excuse Wymówka vih-MOOF-kah Słaba wymówka. (Weak excuse.) Justification Uzasadnienie oo-zah-sahd-NYEN-yeh Uzasadnienie kłamstwa. (Justification of lying.) Rationalization Racjonalizacja rah-tsy-o-nah-li-ZA-tsya Racjonalizacja zachowania. (Rationalization of behavior.) Denial Zaprzeczenie zah-PSHEH-cheh-nyeh Zaprzeczenie rzeczywistości. (Denial of reality.) Projection Projekcja pro-YEK-tsya Projekcja winy. (Projection of guilt.) Rationalization Racjonalizacja rah-tsy-o-nah-li-ZA-tsya Mechanizm obronny. (Defense mechanism.)     Polish English To jest kłamstwo. This is a lie. Mów prawdę. Speak the truth. Mam zaufanie. I have trust. On kłamie. He is lying. Ukrywam prawdę. I hide the truth. Chronię siebie. I protect myself. Dlaczego kłamiemy? Why do we lie? Jaki powód? What reason? Jaka korzyść? What benefit? Rozumiem dlaczego. I understand why. Wybaczam ci. I forgive you. Ufam ci. I trust you. Prawdziwa twarz. True face. Mechanizm obronny. Defense mechanism. Społeczna norma. Social norm. Presja społeczna. Social pressure. Strefa komfortu. Comfort zone. Osobisty rozwój. Personal growth. Szczera rozmowa. Honest conversation. Czas na zmianę. Time for change.

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM   This episode features a conversation with Daniel Cohen‑Dumani on why many organisations feel stuck on AI despite rapid advances. The discussion focuses on agentic AI, the growing gap between consumer and business adoption, and why strategy matters more than experimentation. You will hear practical guidance on narrowing AI efforts to real business problems, building organisational memory for reliable agents, and avoiding paralysis caused by hype and fear. The conversation also challenges traditional systems like CRM and reframes AI as a tool to learn, not shortcut, building sustainable capability inside organisations.

Introducing Artificial intimacy from Tech Tonic. For the next episodes in this season go to the Tech Tonic feed.Calder Quinn has fallen into a relationship with a chatbot called Sara. She's kind, emotionally intelligent and creatively inspiring. But how can he tell his wife he is having sex with an AI girlfriend? In the first episode of Artificial Intimacy we look at how people are developing romantic bonds with AI companions. What does it feel like to be in love with AI? What impact could it have on human relationships? Could it replace them altogether? Host Cristina Criddle speaks to Giada Pistilli, an AI ethicist who now works at Mistral; Calder Quinn, writer at ‘AI, But Make It Intimate'; Amelia Quinn, Calder's wife; and Alaina Winters, professor emeritus of communication who publishes on meandmyaihusband.com.Presented by Cristina Criddle, produced by Persis Love and Edwin Lane. The executive producer is Flo Phillips. Sound design by Breen Turner and Sam Giovinco. We used ElevenLabs to create Sara's voice. All other voices are real. Hosted on Acast. See acast.com/privacy for more information.

Artificial intelligence is making scams harder to spot and Canadians are losing millions every year to fraud. So is it worth it to pay for personal cyber risk insurance? Also, we explain why older job hunters are botoxing their resumes and ask: Could the global oil shock change the conversation around Canada's future as an energy superpower?

In this episode of the Celebrate Kids podcast, host Dr. Kathy addresses the challenges parents face when their children struggle with friendships or are influenced by negative peers. Drawing on the importance of self-awareness and shared experiences, Dr. Kathy emphasizes the need for parents to communicate their hopes and strengths for their children while teaching them discernment in choosing friends. The segment, titled "Facing the Dark," provides valuable insights to help guide kids toward positive friendships and community involvement. Additionally, Dr. Kathy touches on a recent event where Melania Trump advocated for a bill aimed at protecting individuals from the non-consensual posting of intimate imagery online, highlighting the relevance of consent in the digital age.

Artificial intelligence is everywhere, but most leaders are still asking the wrong question.   Instead of focusing on tools, Geoff Woods believes the real shift is happening at the leadership level: how we think, how we make decisions, and how teams execute in a world where intelligence is suddenly abundant.   In this episode of Why Not Now?, Amy Jo Martin sits down with Geoff Woods, author of the #1 international bestseller The AI-Driven Leader and founder of AI Leadership. Geoff's work helps leadership teams rethink how they align strategy, prioritize decisions, and operate at the speed AI now makes possible.   The conversation begins with Geoff's own "Why Not Now?" moment. Despite feeling unqualified to write about artificial intelligence, he committed to the process anyway—using the book itself as a forcing function to research, experiment, and go deep. Five months later, The AI-Driven Leader was finished and on its way to becoming a global bestseller.   From there, Amy Jo and Geoff unpack what's really happening inside companies right now. Many organizations believe they've "adopted AI" simply because employees have access to tools like ChatGPT. But according to Geoff, that's only the starting point. The real opportunity is using AI as a strategic thought partner—one that helps leaders ask better questions, challenge assumptions, and unlock entirely new ways of solving problems.   Along the way, you'll hear why the most valuable leadership skills in the next decade won't be technical at all. They'll be human: judgment, creativity, emotional intelligence, and the ability to synthesize complex ideas.   In other words, the leaders who win in the AI era won't be the ones who adopt the most tools.   They'll be the ones who redesign how their teams think and work.   Learn more about Geoff: https://aileadership.com/   Amy Jo Martin speaks globally on Humanizing AI, Leadership, Decision-Making, and the Future of Work. Learn more about keynote topics and availability: amyjomartin.com/speaking   Learn more about Amy Jo: https://amyjomartin.com/ Get Amy Jo's newsletter: https://amyjomartin.com/newsletter Watch Amy Jo's Speaking Reel: https://amyjomartin.com/speaking   Follow Amy Jo… Instagram: https://www.instagram.com/amyjomartin/ X/Twitter: https://twitter.com/amyjomartin Facebook: https://www.facebook.com/AmyJoMartin/ YouTube: https://www.youtube.com/@AmyJoMartinRenegade Why Not Now? Instagram: https://www.instagram.com/whynotnow/ Buy Amy Jo's book: https://amyjomartin.com/book Follow Renegade Global: https://www.instagram.com/renegade_global

Artificial intelligence is becoming a bigger part of genealogy, and one of the newest examples is MyHeritage's Scribe AI. This tool is designed to help researchers work through old family history items that can be difficult to read, difficult to understand, or difficult to use well. For anyone who has stared at a faded letter, a handwritten church record, a worn gravestone, or an old family photo with little identification, that gets your attention quickly. Genealogy has always required patience. It takes time to search for records, compare evidence, study names, sort out dates, and decide whether two people with the same name are really the same person. It also takes time just to read what is already in front of you. That is one reason this tool stands out. It is aimed at one of the most frustrating parts of family history research, getting useful information out of old material that is hard to read or hard to interpret. MyHeritage says Scribe AI can transcribe, translate, and interpret historical materials. That means it is not only trying to turn old text into readable words. It is also trying to explain what a document or image may contain, point out clues, and help a researcher see what deserves a closer look. That places it in a different category from a basic scanning tool or plain text recognition program. For genealogists, that raises an important question. What can this actually do for real family history research? Not just in a product announcement and not only in a polished demonstration, but in the everyday work of studying old records, sorting through inherited papers, and trying to find one clue that moves the research forward. That is where Scribe AI becomes especially interesting... Podcast Notes:  https://ancestralfindings.com/myheritage-scribe-ai-genealogy/ Ancestral Findings Podcast: https://ancestralfindings.com/podcast This Week's Free Genealogy Lookups: https://ancestralfindings.com/lookups Genealogy Giveaway: https://ancestralfindings.com/giveaway Genealogy eBooks: https://ancestralfindings.com/ebooks Follow Along: https://www.facebook.com/AncestralFindings https://www.instagram.com/ancestralfindings https://www.youtube.com/ancestralfindings Support Ancestral Findings: https://ancestralfindings.com/support https://ancestralfindings.com/paypal  #Genealogy #AncestralFindings #GenealogyClips

The operating environment for CEOs and senior leaders has shifted materially over the past five years. Artificial intelligence is accelerating, funding cycles are volatile, remote work is embedded, and expectations around leadership have changed.In this episode of Grounded and Aligned™, Karen speaks with Nick Herinckx, founder and CEO of Oxygen, about what is structurally different for CEOs in 2026. Drawing on his work coaching more than 100 CEOs, Nick outlines two persistent tensions: staying focused on strategy while technology evolves rapidly, and building toward a future that current tools cannot yet fully support.The discussion also addresses a dynamic many senior leaders are now experiencing directly: AI adoption moving bottom-up, with employees experimenting faster than executives. For VPs and SVPs operating between executive decision-making and frontline execution, this creates both risk and opportunity.Beyond AI, the conversation examines management capability, remote leadership strain, and the cumulative impact of social media and constant comparison on executive mental health.Key takeawaysWhy CEOs are repeatedly revisiting strategy in response to AI pressure, and how this can stall executionThe shift from top-down change to bottom-up AI adoption, with employees often outpacing senior leadersWhere silo breakdown is occurring as cross-functional teams collaborate around new toolsWhy first-time manager development remains a structural weakness in many organizationsHow remote environments increase the difficulty of culture transmission and emotional reinforcement for senior leadersThe underestimated impact of social media and constant comparison on executive mental health and decision-makingSenior leaders hold disproportionate influence over how uncertainty is interpreted inside their organizations. In periods of acceleration, your framing of technology, strategy, and risk directly affects focus, morale, and retention. Clarity and steadiness are no longer secondary qualities. They are operational requirements.Connect with Nick here: https://www.linkedin.com/in/nickherinckx/ https://www.leadwithoxygen.com/

Nathan Woods, founder of Beloved Hospitality, joins the show to share his perspective that the real threat to hospitality is not artificial intelligence—it's artificial hospitality. Drawing from his own work experimenting with AI, Nathan explains why technology does not weaken human connection on its own. The real risk appears when we let systems replace care and attention for our guests.More:See Nathan's post on this on LinkedInRead Nathan's newsletter on thisListen: Cultivating Heartfelt Hospitality - Nathan WoodsListen: From Track and Field to Treehouses: Lessons for Hospitality From Building Businesses In Other Industries - Nathan Woods, Bolt Farm Treehouse A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

Join in on the conversation as we dish out the hottest entertainment updates and global news from our unique perspective. From the latest trends to what's happening worldwide, we've got you covered.To unlock access to our full episodes, ride with us by becoming a supporter at www.patreon.com/theafacts. Let's keep it real and stay connected! ★ Support this podcast on Patreon ★

Marco Amitrano, European boss of PwC, joins the Big Boss Interview to discuss the UK economy, artificial intelligence, business confidence and the case for loosening the government's fiscal rules to unlock infrastructure investment.Amitrano makes a direct appeal to Chancellor Rachel Reeves to reconsider the government's borrowing limits, arguing that strict fiscal rules risk preventing the investment needed for long-term economic growth. He says the UK faces what has been described to him as a £2 trillion infrastructure gap, spanning transport, digital networks and the energy grid. Relaxing borrowing restrictions, he argues, could allow government to invest alongside business in the technology, talent and infrastructure needed to make the UK globally competitive. Amitrano acknowledges that markets may initially react with higher borrowing costs, but says a transparent plan showing how spending would drive growth could reassure bond investors.Artificial intelligence is already reshaping the professional services sector, with Amitrano revealing that more than 80% of chief executives globally are making material investments in AI, and around 60% now see it as critical to their organisation's survival. He discusses how the technology is transforming how businesses operate, while pushing back against claims that AI is already replacing large numbers of graduate jobs. PwC recently reduced its graduate intake from around 1,500 to 1,300, but Amitrano says that decision was driven by a slowdown in demand following the November 2024 Budget, not automation. The firm still receives roughly 400,000 applications each year and uses AI only in the early stages of screening before human interviews.Before the recent escalation in the Middle East, Amitrano says business confidence had been showing signs of recovery. Falling finance costs, strong corporate balance sheets and wage inflation running ahead of cost inflation had created conditions for what he describes as potential economic “lift-off”. However, geopolitical tensions have reintroduced uncertainty, particularly around energy prices, where the UK remains the most expensive country in Europe for energy.He also reflects on the impact of the November 2024 Budget, which he describes as a miscalculation that combined several policies — workers' rights reforms, minimum wage increases and higher employer National Insurance contributions — in a way that made hiring feel riskier for businesses. Amitrano says that damaged the relationship between government and business, although dialogue has begun to improve through initiatives such as Keep Britain Working, which aims to bring economically inactive people back into the labour market.Presenter: Simon Jack Producer: Ollie Smith & Olie D'Albertanson02:32 AI transformation imperative for business survival 06:15 Graduate recruitment cut due to economic slowdown, not AI 10:07 AI in recruitment: screening 400,000 applications for 4,000 jobs 14:07 Value of university education beyond qualifications 19:37 November 2024 budget damaged business confidence 21:57 Middle East conflict derails UK economic recovery 26:32 Call for Rachel Reeves to relax fiscal rules for infrastructure 28:07 £2 trillion infrastructure gap: technology, talent and infrastructure spending needed

From State Championships to setups and a bit of AI Training. Get tires are TreadSavvy.com Cast: Tim Strelecki and Robert Curtis The Road Is Dead Podcast is based on what happens when people visit a bicycle business and get to talking. Topics can range widely from riding, road cycling enthusiasts, cyclocross racing, gravel racing, road racing, professional and amateur racing, grassroots cycling and events, industry discussions and trends. While based in the greater Chicagoland area regular guests are from all over. Main focus is on US domestic cycling. Guests range from Pro cyclists, industry veterans, race promoters and announcers, to just cool people that walked in. Passionate discussion you won't hear in the cycling media - we don't tow company lines and we're not afraid to discuss rumors, tell you when something is bad, or otherwise do something the others would avoid.

Marcelo Finger, um dos principais nomes em IA no País, aborda o tema e seus desdobramentos quase que diários, todas as 6ªs, às 8h, no Jornal Eldorado.See omnystudio.com/listener for privacy information.

Será que a Inteligência Artificial pode mesmo ajudar o mercado financeiro a antever movimentos futuros e ganhar dinheiro com isso? Nessa conversa com Evandro Barros, cientista de dados e estrategista de IA, você vai descobrir que a revolução está acontecendo em tempo real, literalmente, impactando setores com ativos muito dinâmicos, como os mercados futuros de energia. Confira. Links do episódio A página do LinkedIn de Evandro Barros O livro "Why Machines Learn: The Elegant Math Behind Modern AI", de Anil Ananthaswamy O livro "1929: Inside the Greatest Crash in Wall Street History--and How It Shattered a Nation", de Andrew Ross Sorkin O livro "1929: a história dos que viveram um dos eventos mais impactantes do século", de Ivan Sant'Anna O livro "These Strange New Minds: How AI Learned to Talk and What It Means", de Christopher Summerfield A The Shift é uma plataforma de conteúdo que descomplica os contextos da inovação disruptiva e da economia digital.Visite o site www.theshift.info e assine a newsletter

Artificial intelligence is rapidly reshaping healthcare—and hospice leaders cannot afford to ignore its impact.  In this episode of TCNtalks / Anatomy of Leadership, host Chris Comeaux continues his conversation with hospice leader and AI innovator Ernesto Lopez to explore how artificial intelligence is beginning to transform the hospice industry. Drawing from nearly 15 years of operational experience, Lopez explains why hospice needs technology built specifically for its unique clinical, regulatory, and operational realities, rather than tools retrofitted from other healthcare sectors.  The conversation dives deep into the real-world challenges hospice organizations face—particularly around Medicare audits, documentation risk, and operational inefficiencies.  Lopez introduces the concept of “hospice-native AI”, technology designed from the ground up to help organizations proactively identify documentation gaps, reduce compliance risks, and improve patient care. By shortening the feedback loop between documentation and compliance, AI has the potential to give leaders real-time insight into their clinical records instead of discovering problems months or years later during an audit.  But adopting AI requires wisdom. Lopez and Comeaux caution leaders to move forward thoughtfully—focusing on clear use cases, trusted technology partners, and measurable return on investment.  AI is not a cure-all, but when used responsibly, it can become a powerful tool to strengthen hospice operations, improve care quality, and support clinicians doing some of the most meaningful work in healthcare.Key TakeawaysHospice needs “hospice-native” technology. Many existing tools are retrofitted from other healthcare sectors, creating inefficiencies and gaps.AI can help reduce audit risk. By proactively identifying documentation issues and eligibility gaps, hospices can better prepare for Medicare contractor audits.Real-time feedback improves clinical documentation. AI can shorten the compliance feedback loop from months or years to near real time.Technical documentation failures are a major risk. Missing signatures, dates, or admission requirements remain one of the most common audit issues.Responsible AI adoption requires strategy. Leaders should define a clear use case, vet trusted vendors, ensure data security, and measure ROI before implementation.About the GuestErnesto Lopez is the Founder & CEO of 1520 AI, a company developing artificial intelligence tools focused on hospice quality, compliance, and clinical operations.  He previously spent more than two decades leading healthcare organizations across hospice, home health, and hospital settings. About the HostChris Comeaux is the President and CEO of Teleios Collaborative Network (TCN) and host of the TCNtalks / Anatomy of Leadership podcast.  A respected leader in healthcare and organizational strategy, Chris has spent decades helping mission-driven organizations strengthen leadership, culture, and operational excellence—particularly within hospice and serious illness care.Chris is also the author of The Anatomy of Leadership: The 21 Irrefutable Laws of Effective Leadership, where he explores how purpose-driven leadership shapes strong teams and enduring organizations.  Through his podcast and writing, Chris equips leaders with practical tools to navigate complex challenges, lead with integrity, and align strategy with mission.On TCNtalks / Anatomy of Leadership, Chris brings thoughtful conversations with leaders across healthcare, nonprofit, and business sectors—exploring topics such as leadership, innovation, healthcare transformation, and the future of hospice.Teleios Collaborative Network / https://www.teleioscn.org/tcntalkspodcast

Artificial intelligence is rapidly transforming the consumer financial services industry. From underwriting and fraud detection to customer engagement and collections, financial institutions are increasingly deploying advanced AI tools to automate processes, personalize services, and improve operational efficiency. We are releasing today, on our Consumer Finance Monitor Podcast show, a discussion of what may be the next major technological shift for the industry: Agentic AI in Consumer Financial Services — AI systems capable of acting autonomously, making decisions, and interacting directly with consumers. The discussion featured Professor Oren Bar-Gill of New York University School of Law, along with Ballard Spahr partners Joseph Schuster and Adam Maarec.  The discussion was hosted by Alan Kaplinsky, the founder and practice group leader for 25 years of the Consumer Financial Services Group and now Senior Counsel. The panel examined how agentic AI differs from earlier forms of automation, the benefits it offers financial institutions and consumers, and the significant legal and regulatory risks it may create. Below are the key takeaways from the discussion. What Is Agentic AI? Agentic AI refers to AI systems that can independently take actions on behalf of users or organizations. Unlike traditional automation, which performs predefined tasks, or generative AI, which primarily produces content, agentic AI systems can: ·                 Make autonomous decisions ·                 Interact directly with consumers ·                 Initiate actions such as transactions or communications ·                 Learn from prior interactions In financial services, these systems may soon conduct customer service interactions, initiate collections calls, execute payments, or manage purchasing tasks for consumers. While these capabilities promise major efficiencies, they also raise complex legal questions regarding accountability, fairness, and consumer protection. Understanding AI-Driven Consumer Harm Professor Bar-Gill framed the discussion by examining potential consumer harms associated with AI-powered decision-making. Drawing on his recent book with Cass Sunstein, Algorithmic Harm: Protecting People in the Age of Artificial Intelligence, he explained that the impact of AI depends largely on the type of market in which it operates.  The book is available on Amazon here. Sophisticated vs. Unsophisticated Markets Bar-Gill distinguishes between: ·                 Sophisticated markets, where consumers are generally able to make informed decisions ·                 Unsophisticated markets, where consumers are more likely to misunderstand complex products In sophisticated markets, AI-driven personalization, such as individualized pricing, can increase efficiency and expand access to products by offering lower prices to consumers with lower willingness to pay. In contrast, in markets involving complex financial products, such as credit cards, mortgages, or insurance, AI-powered personalization may harm consumers who misjudge product costs or benefits. For example, if a consumer mistakenly overestimates the value of a financial product, an AI system may set the price just below that mistaken valuation, leading the consumer to pay more than the product is actually worth. Algorithmic Price Discrimination One area of growing concern is AI-enabled price discrimination, where algorithms tailor prices to each consumer's willingness to pay. Examples cited during the discussion included: ·                 Airlines experimenting with AI-based pricing strategies ·                 Online retail platforms offering individualized prices for identical products ·                 Insurance companies using algorithms to optimize premiums While pricing based on individual risk, such as in insurance underwriting, is widely accepted, pricing based on willingness to pay raises significant consumer protection concerns. As these practices expand, they are likely to attract increased attention from regulators and lawmakers, particularly at the state level. AI Use Cases in Consumer Finance The panel also highlighted several areas where AI is already being deployed across the consumer financial services lifecycle. Marketing and Customer Acquisition Financial institutions are using AI to analyze large data sets and create highly personalized marketing campaigns. Large language models can generate customized messaging tailored to specific demographic groups or individual consumers. While this personalization improves targeting and engagement, it also creates compliance challenges related to: ·                 Misleading advertising ·                 Disclosure requirements ·                 Potential discriminatory targeting Underwriting and Credit Decisions AI-driven underwriting tools allow lenders to analyze alternative data, such as cash-flow information, to assess creditworthiness. These tools may expand access to credit for consumers who previously lacked traditional credit histories. However, they also raise fair lending concerns under laws such as the Equal Credit Opportunity Act and its implementing regulation, Regulation B. Because many AI models operate as "black boxes," institutions may struggle to explain how decisions are made, an issue that can complicate discrimination analyses and regulatory oversight. Fraud Detection AI is particularly powerful in fraud detection, where pattern recognition is essential. Advanced models can analyze transaction behavior in real time to identify suspicious activity while minimizing unnecessary transaction declines. These tools also allow financial institutions to communicate with customers instantly, confirming transactions or investigating suspicious activity through automated interactions. Servicing and Collections Agentic AI may soon conduct both inbound and outbound customer interactions, including: ·                 Customer service conversations ·                 Dispute resolution ·                 Collections calls In some cases, AI-driven voice systems can conduct conversations that are indistinguishable from human interactions. While this technology may improve efficiency and reduce costs, it raises legal concerns about consumer deception, harassment, and compliance with debt collection laws. Core Legal Risks Despite the novelty of the technology, many of the key legal risks arise from existing laws, not new AI-specific statutes. Liability for AI Actions As Joseph Schuster emphasized, AI is a tool, not a liability shield. Institutions remain responsible for the actions of AI systems just as they would for the actions of employees or third-party vendors. Traditional legal doctrines, including agency law, vicarious liability, and unfair or deceptive acts or practices, continue to apply. UDAP Risks AI systems interacting with consumers may create risks under federal and state UDAP laws if they: ·                 Provide inaccurate information ("hallucinations") ·                 Fail to deliver required disclosures ·                 Exhibit overconfidence in uncertain responses ·                 Engage in manipulative behavioral targeting. Fair Lending and Discrimination AI models can unintentionally produce discriminatory outcomes, even when protected characteristics are not used as inputs. As Professor Bar-Gill noted, future litigation may increasingly focus on disparate impact analysis, which examines whether outcomes disproportionately affect protected classes regardless of the model's internal logic. Governance and Risk Management Given these risks, institutions are increasingly adopting governance frameworks for AI deployment. Common practices include: ·                 AI governance committees with cross-functional participation ·                 Model inventories and risk-tiering systems ·                 Vendor due diligence for AI providers ·                 Data mapping and validation processes ·                 Continuous monitoring of AI outputs. Financial regulators are already asking supervised institutions detailed questions about how AI is being used. Institutions that implement structured governance processes are better positioned to respond to these inquiries. The Rise of Agentic Commerce One emerging application of agentic AI involves autonomous purchasing. For example, a consumer might instruct an AI assistant to plan and purchase supplies for a birthday party. The AI would then select vendors, place orders, and initiate payments using the consumer's stored payment credentials. But what happens if AI makes a mistake, such as ordering supplies for 1,000 guests instead of 10? Such scenarios raise difficult questions involving: ·                 consumer authorization ·                 merchant liability ·                 payment network rules ·                 dispute resolution These issues are only beginning to receive attention from regulators and industry participants. Key Takeaways for Financial Institutions The panel concluded with several recommendations for institutions exploring AI deployment. First, distinguish beneficial uses from harmful ones. AI can deliver significant consumer benefits, but firms must remain vigilant about potential misuse or unintended harm. Second, prioritize governance. Robust policies, oversight structures, and risk management processes are essential. Third, remember that existing laws still apply. AI systems must comply with the same consumer protection, fair lending, and disclosure requirements that govern traditional processes. Finally, institutions must recognize that failing to adopt AI also carries risks. As fraudsters increasingly deploy advanced technology, financial institutions may need AI tools simply to keep pace. As AI technology continues to evolve, the legal framework governing its use in financial services will also develop. For now, however, the most important lesson is that innovation must proceed hand-in-hand with careful legal and compliance oversight. Consumer Finance Monitor is hosted by Alan Kaplinsky, Senior Counsel at Ballard Spahr, and the founder and former chair of the firm's Consumer Financial Services Group. We encourage listeners to subscribe to the podcast on their preferred platform for weekly insights into developments in the consumer finance industry.

Artificial intelligence is a game changer across many fields these days and mathematics is no exception. Yet, the rapid acceleration of its ability to solve some of arithmetic's most challenging proofs has left many a mathematician wondering how they fit into future equations. The World's Host Marco Werman spoke to one such human mathematician, Daniel Litt, at the University of Toronto. The post AI is rapidly changing math, and mathematicians are defining their role in the equation appeared first on The World from PRX.

AI doesn't just make businesses faster — it makes attackers faster too.In Part 3 of The Executive AI Series, the discussion moves from shadow adoption to active exploitation. Artificial intelligence is no longer just a productivity tool. It has become a force multiplier for cybercrime.We break down how AI is transforming the threat landscape:AI-driven phishing that is personalized, scalable, and nearly indistinguishable from legitimate communicationMalware and ransomware were built, refined, and deployed with AI assistanceAI attacking AI as automated defense systems face automated exploitationThe rise of small language models running locally, outside traditional visibility and controlThe barrier to entry for sophisticated attacks is collapsing. What once required elite skill can now be generated, refined, and deployed at speed.The tone shifts here,  from strategic governance to tactical urgency. Because the imbalance isn't theoretical. It's operational.The episode ends at another inflection point: when the cybersecurity discussion begins to reveal deeper human and organizational consequences.If Episode 2 exposed the loss of control, Episode 3 shows what happens when that control is actively challenged.

Artificial intelligence in healthcare isn't just about futuristic diagnostics or robots assisting surgeons. It's also transforming the operational backbone of the healthcare industry.  In this episode, host Sandy Vance sits down with Anand Kumar, Vice President of Healthcare at Genpact, to explore how AI-driven automation is reshaping everything from payer operations to member experience. Together, they unpack how healthcare organizations can cut through the “AI buzz,” identify meaningful use cases, and drive measurable outcomes. From contact center automation to actuarial modeling and prior authorization workflows, this episode dives into the real-world impact of AI and how human expertise and intelligent agents can work together to improve both operational efficiency and patient experience. If you're a healthcare leader trying to navigate the rapidly evolving AI landscape, this conversation offers practical insights into where the technology is delivering value today and what's coming next. In this episode, they talk about: Healthcare organizations are adopting AI-first strategies to improve efficiency and operational outcomes Successful AI transformation requires aligning people, processes, and technology AI tools are helping contact centers resolve patient and member issues faster Many healthcare organizations are seeing 20–40% improvements in operational efficiency AI is helping actuaries analyze large datasets and identify trends more quickly Human experts and intelligent agents are working together to handle complex healthcare decisions Leaders should prioritize partners who demonstrate proven outcomes and operational expertise A Little About Anand: Anand Kumar is a distinguished leader in healthcare and technology, combining deep clinical expertise with advanced digital innovation. As Vice President at Genpact, Anand drives transformative strategies that integrate AI-driven solutions, digital platforms, and operational excellence to deliver measurable outcomes for global clients. Holding degrees as a Medical Doctor (MD), Chartered Accountant (CA), and a Ph.D. in Computing and Artificial Intelligence, Anand brings a unique multidisciplinary perspective to solving complex healthcare challenges. His work spans data engineering, automation, and advanced analytics, enabling payers and providers to reimagine care delivery and optimize patient engagement. At HLTH USA 2025, Anand is shaping conversations around generative AI in healthcare, population health strategies, and next-gen digital ecosystems. His leadership reflects a commitment to innovation, collaboration, and patient-centric solutions that redefine the future of health.   

In this episode, Carl shares a thought that came to him on a morning walk in the mountains: Artificial intelligence isn't a threat, it's a reminder. As tools become faster at summarizing, analyzing, and generating answers, the truly scarce resource becomes something machines cannot replicate—human wisdom. Carl reflects on wisdom as the ability to apply knowledge with judgment, perspective, and moral clarity, and suggests that the rise of AI only highlights how valuable that capacity is. For him, cultivating wisdom happens through long walks with nothing in his ears, more silence, and deep conversations—the kinds of practices that create space for discernment, meaning, and the slow growth of understanding.Want more from Carl? Get the shortest, most impactful weekly email on the web! Sign up for the Weekly Letter from Certified Financial Planner™ and New York Times columnist Carl Richards here: https://behaviorgap.com/ 

Artificial intelligence is everywhere but what does it actually mean for your money? In this episode of Your Money. Your Mission, host and SVP Wealth Fiduciary Advisor, Kelly Mould sits down with SVP Portfolio Manager, Eric Bernal and SVP Chief Information Security Officer, Mark Ward to explore the real-world impact of AI on your finances, from robo-advisors managing your portfolio to deepfake scams threatening your security. You'll discover practical strategies anyone can use today: Why password managers are your secret weapon, how to best use AI and why working with a human advisor is more important than ever.

Artificial intelligence (AI) is transforming how buyers find information online and how builders position their websites to stay visible. Greg Bray, president of Blue Tangerine, joins Host Carol Morgan on the Atlanta Real Estate Forum Radio podcast to discuss how AI is reshaping search engine optimization (SEO), website content and digital marketing strategies for home builders. As AI-powered search tools become more widely used, the way people discover information online is evolving rapidly. Builders now need website content that balances compelling storytelling with clear, structured information. How AI Is Changing the Rules of Search Traditional SEO strategies focused on optimizing entire webpages around specific keywords. AI-driven search tools now analyze content at a deeper level. “We're learning that the way AI tools are using the content on your website has moved down a layer,” Bray said. “The paragraph level or the section level on the page is where they're looking for the data and the answers.” This shift is affecting how brands measure online visibility, and many companies have seen website traffic decline as AI tools become more prevalent. Why SEO Still Matters Although some marketers worry AI could replace traditional search engines, SEO remains essential for digital visibility. AI tools still rely on search engines, but approach queries differently. Instead of a single search, they generate a “query fan out”—multiple related searches that provide broader context and more detailed answers. Websites must contain straightforward, accessible information that AI systems can interpret and connect to buyer questions. Structure and Clarity Matter for AI Visibility Website structure is increasingly important as search evolves. AI systems prioritize clarity and organization, making well-structured content easier to interpret. Short sections, targeted headings and concise explanations help both AI tools and human readers quickly find relevant information. “Clarity wins over clever,” Bray said. “Being very explicit about the idea and breaking those ideas up using section headers makes it easier for AI tools to interpret your content.” Utilizing FAQs to Help AI Understand Content Frequently asked questions (FAQs) are an effective way to structure website content for AI visibility. This format encourages clear questions and concise answers that address common buyer concerns. FAQ sections should focus on information rather than marketing language. Bray recommends making the first sentence of each answer a direct response to the question, followed by two to three sentences providing additional context. The Role of Public Relations for Home Builders Beyond website content, third-party signals—such as media coverage and industry mentions—are increasingly valuable for AI search systems. These external signals reinforce credibility and show that a company is active and trustworthy. “It's not just looking at the results from your website,” Bray said. “It's also looking at how you show up in other places, including social media, videos and PR coverage.” How Builders Can Start Adapting for AI Search Builders can start small when improving digital visibility. Pick a single page and imagine walking a buyer through it. Structure the content as clear questions and answers, so AI tools and visitors alike can quickly find the information they're looking for. Tune in to the full episode to discover how builders can adapt their websites for the future of online search and AI visibility. To learn more about Blue Tangerine, visit https://BlueTangerine.com/. About Blue Tangerine Blue Tangerine is a full-service digital marketing and web design agency that specializes in creating websites and marketing strategies for home builders to drive leads and sales. The company offers services including SEO and geofencing, paid search, social media, email marketing, analytics and interactive digital tools such as site plans and listing feeds. With more than two decades of experience, Blue Tangerine helps builders optimize their online presence to sell more homes and engage buyers effectively. The company also produces educational content, including podcasts and blogs, and hosts the Home Builder Digital Marketing Summit to support professional growth in builder marketing. Podcast Thanks Thank you to Denim Marketing for sponsoring Atlanta Real Estate Forum Radio. Known as a trendsetter, Denim Marketing has been blogging since 2006 and podcasting since 2011. Contact them when you need quality, original content for social media, public relations, blogging, email marketing and promotions. A comfortable fit for companies of all shapes and sizes, Denim Marketing understands marketing strategies are not one-size-fits-all. The agency works with your company to create a perfectly tailored marketing strategy that will suit your needs and niche. Try Denim Marketing on for size by calling 770-383-3360 or by visiting www.DenimMarketing.com. About Atlanta Real Estate Forum Radio Atlanta Real Estate Forum Radio, presented by Denim Marketing, highlights the movers and shakers in the Atlanta real estate industry – the home builders, developers, Realtors and suppliers working to provide the American dream for Atlantans. For more information on how you can be featured as a guest, contact Denim Marketing at 770-383-3360 or fill out the Atlanta Real Estate Forum contact form. Subscribe to the Atlanta Real Estate Forum Radio podcast on iTunes, and if you like this week's show, be sure to rate it. Atlanta Real Estate Forum Radio was recently honored on FeedSpot's Top 100 Atlanta Podcasts, ranking 16th overall and number one out of all ranked real estate podcasts. The post Blue Tangerine: How AI is Changing Online Visibility for Builders appeared first on Atlanta Real Estate Forum.

Artificial intelligence is about to be scaled up in a big way in health care. Is the medical field ready? Are we?Ohio is one of six states in a pilot program using AI to help decide whether certain medical procedures should be approved for Medicare.Across the U.S., healthcare systems are tapping into the technology by using AI to help with charting, diagnosing, surgeries, even caregiving.Proponents say AI is a necessary game changer, perhaps leading to lower costs.Others are more cautious, pointing to AI-related lawsuits and questions about how it will be regulated.Today on All Sides, an AI primer in medicine: from application to implementation to regulation.Guests:Todd Baker, CEO, Ohio State Medical AssociationAmy Andres, senior vice president of health strategy, Ohio Hospital AssociationBill Balderaz, CEO, FuturetyIf you have a disability and would like a transcript or other accommodation, you can request an alternative format.(Photo: Song About Summer / Adobe Stock)

Artificial intelligence is quickly becoming part of how people think, reflect, and process their lives. But what role should it actually play in mental health?In this episode, Kristin Sunanta sits down with therapist and technology expert Jeremy G. Schneider to explore the evolving relationship between AI and therapy. Jeremy is a licensed marriage and family therapist, trauma-informed mental health coach, and former chief technology officer who now works at the intersection of emotional wellness and human-centered technology. Together, they explore how tools like ChatGPT can function as a kind of “thinking mirror” — reflecting our thoughts back to us and helping us notice patterns in the way we process emotions, relationships, and decisions. Rather than replacing therapists, AI may become a powerful companion tool for reflection, journaling, and practicing psychological skills like self-awareness and boundaries. Kristin and Jeremy discuss the opportunities, the risks, and why learning to use AI with intention and agency may become an important part of mental health in the years ahead.In this episode they explore:• how AI can support emotional reflection and interactive journaling• why some therapists are wary of AI — and why that may change• the concept of AI as a “thinking mirror” for understanding our own minds• how people can use AI safely while maintaining self-awareness and agency• how emerging tools may reshape therapy and personal growthJeremy also hosts free educational classes on Meetup where he teaches people how to thoughtfully and safely use AI tools like ChatGPT for reflection, emotional insight, and personal growth. He also writes about artificial intelligence, therapy, and mental health for Psychology Today.Meetup: https://www.meetup.com/buildonyourstrengths/events/313301636/Psychology Today: https://www.psychologytoday.com/us/contributors/jeremy-g-schneider-lmsw-mftLearn more about Jeremy's work, workshops, and writing:https://buildonyourstrengths.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/mental-health-news-radio--3082057/support.

Artificial intelligence (AI) is rapidly reshaping how patients search for, access and navigate care. Host Trevor DaRin is joined by Sg2 Senior Director Andrew Rebhan to explore the rise of the “AI care broker” and what it could mean for health care's digital front door. From OpenAI and Anthropic to payers and disrupters, they unpack how AI intermediaries may increasingly steer patient decisions—often before a health system is even in the picture.   We are always excited to get ideas and feedback from our listeners. You can reach us at sg2perspectives@sg2.com, or visit the Sg2 company page on LinkedIn.

Artificial intelligence continues to dominate headlines and investment flows, but understanding the technology behind it requires looking beyond the hype and into the structure of the ecosystem itself. In this episode of Facts vs Feelings, Ryan Detrick, Chief Market Strategist at Carson Group, and Sonu Varghese, Chief Macro Strategist at Carson Group, sit down with Steve Hou of Bloomberg and Kai Wu of Sparkline Capital to explore how the AI economy actually works, from the infrastructure powering it to the applications beginning to reshape industries.The conversation moves through the full AI stack, including semiconductors, computing power, models, and software layers, while also examining how competition, innovation, and investment are shaping the next phase of the technology cycle. Key Takeaways• The AI stack matters: Chips, infrastructure, models, and applications each play a distinct role in the ecosystem• Compute demand keeps expanding: AI adoption continues to drive demand for semiconductors and data infrastructure• Competition is accelerating: Innovation across companies may push AI models toward commoditization• Productivity gains will vary: Some sectors may see faster AI-driven improvements than others• Markets are pricing the shift: Investor expectations around AI continue shaping technology and equity marketsSteve Hou and Kai Wu are not affiliated with CWM, LLC. Opinions expressed by this individual may not be representative of CWM, LLC.Jump to:0:02 — Opening And Guest Intros1:46 — Kai And Steve's Quant Backgrounds6:56 — Two ChatGPT Moments And AI Agents10:45 — Compute Demand And Industrial Tailwinds17:03 — Models Commoditize, Orchestration Rises23:39 — AI, Inflation, And Energy As Constraint31:17 — Europe, Korea, And Defense Capacity38:02 — Software's Reset And Duration Risk46:30 — Timelines, Diffusion, And S-Curves53:05 — Active Selection Across Regions59:15 — Building Firms With AI Force Multipliers1:03:49 — Mentors, Simplicity, And Implicit Knowledge1:05:44 — Closing And DisclaimersConnect with Ryan:• LinkedIn: https://www.linkedin.com/in/ryandetrick/• X: https://x.com/RyanDetrickConnect with Sonu:• LinkedIn: https://www.linkedin.com/in/sonu-varghese-phd/• X: https://x.com/sonusvarghese?lang=enQuestions about the show? We'd love to hear from you! factsvsfeelings@carsongroup.com

Is A.I. coming for your job? In Part Two, we continue our story about the rise of a new kind of artificial intelligence: the A.I. agent. Along the way, we hear how Google gave rise to the modern A.I. revolution...but gave it away to an Elon Musk funded start up called OpenAI. Episode powered by Ruff Greens and The Licorice Guy. Artificial (Part Three) airs Tuesday, March 17th, 2026. Support the show: https://redpilledamerica.com/support/See omnystudio.com/listener for privacy information.

How can companies invest heavily in AI and still struggle to see meaningful returns? In this episode of Tech Talks Daily, I sit down with Thomas Scott, CEO of Wrike, to unpack a growing tension many organizations are facing right now.  Artificial intelligence adoption is accelerating rapidly across the workplace, yet the structures needed to support it are struggling to keep pace. Wrike's latest research into the "Age of Connected Intelligence" reveals that more than 80 percent of employees are already using AI at work. Yet fewer than half have received any formal training, guidance, or governance around how these tools should be used. That gap between enthusiasm and enablement is creating a new workplace phenomenon that many leaders are only just beginning to notice.  Shadow AI. When employees cannot find approved tools that solve their problems quickly, they often turn to unapproved applications or personal accounts instead. Wrike's data shows that 42 percent of workers admit they have already done this. For organizations handling sensitive data, intellectual property, or regulated information, that trend raises serious questions about security, compliance, and trust. Thomas explains why this pattern is not surprising. Whenever a new technology emerges, the builders and experimenters move first. They explore possibilities, test new tools, and discover productivity gains long before formal policies or training frameworks arrive. The challenge for leadership teams is learning how to harness that momentum without letting experimentation turn into fragmentation. We also explore one of the most overlooked barriers to AI return on investment. Integration. Many employees are now juggling multiple AI tools every week, yet those systems rarely communicate with one another or connect deeply into the core business platforms where real work happens. As a result, context gets lost, workflows become fragmented, and organizations end up running expensive pilots that never scale into meaningful transformation. Thomas introduces the idea of connected intelligence as a possible solution. Instead of deploying AI tools in isolation, companies need systems that understand context across projects, teams, and workflows. When AI can access structured data, shared history, and operational context, it becomes far more capable of supporting real decision making rather than simply generating isolated outputs. Our conversation also explores how leaders can move beyond scattered experimentation and start building structured AI adoption across their organizations.  Thomas argues that the most successful companies start with highly specific problems, empower small groups of motivated builders, and maintain strong executive involvement throughout the process. AI transformation is rarely driven by technology alone. It requires people, process, and leadership alignment working together. So if your organization has already deployed AI tools but still struggles to see real impact, perhaps the question is not whether you are using AI. The real question might be whether those tools are truly connected to the work your teams are trying to do every day.

From Davos to data centers, Axios reporter explains the new rules of power.Amy Harder is one of the most widely read and respected reporters covering the intersection of energy, climate, and policy. As the national energy correspondent for Axios and author of the Harder Line newsletter, she helps industry leaders understand what's actually happening inside the energy system.In this conversation with Nico Johnson, Amy breaks down the forces reshaping the global energy landscape.Artificial intelligence and data centers are driving electricity demand growth for the first time in decades. Tech companies are behaving more like utilities. Capital is rapidly reorganizing around energy infrastructure. And amid all of it, the politics and narratives surrounding climate and energy are shifting in real time.Among her key insights:

Is A.I. coming for your job? To find the answer we tell the story of the rise of a new kind of artificial intelligence…the A.I. agent. Some in the tech world believe this new form of computerized worker will displace just about any job that involves a computer…and ultimately make humans obsolete. But a look under the hood of artificial intelligence tells a much more nuanced story…a future for which we should all be prepared. Episode powered by Ruff Greens and The Licorice Guy. Artificial (Part Two) airs Tuesday, March 10th, 2026. Support the show: https://redpilledamerica.com/support/See omnystudio.com/listener for privacy information.