Podcasts about applied ai

Aaron interviews Diego Oppenheimer, general partner at the AIT Fund (the venture fund behind the AI Tinkerers builder community), about what it takes to move AI agents from personal experimentation into enterprise-grade deployment. Drawing on his own agent fleet (a chief-of-staff agent, a content strategist, and Ashley, an always-on AI community manager serving AI Tinkerers' 127,000+ members) as a proving ground, Oppenheimer lays out an enterprise security model built on treating agents as digital employees with their own delegated identities and credentials, scoped access rather than blanket access to accounts like email and calendar, and continuous audit logging (via the open-source tool Hyperware) in place of trust based on prior behavior. He argues enterprises get burned by chasing a single omnipresent agent instead of narrowing agents to specialized, restricted workflows, the same specialization principle that has driven results throughout machine learning, and flags scheduling as a deceptively hard example where the "10% edge cases" eat most of the effort. He also describes deliberately red-teaming his own agents for weeks (trying to break out of containers, extract credentials, and social-engineer them) before granting them any real access, and points to NanoClaw's containerized, minimal-component design as a model worth enterprise attention. The conversation closes on identity, responsibility, and permissioning as the unresolved internals enterprises must solve before scaling agent autonomy, and on Oppenheimer's prediction that many enterprise roles will shift toward "exception handling" as teams of AI coworkers absorb routine work and escalate only what needs human judgment.SHOW: 1063 SHOW TRANSCRIPT: The Enterprise AI Show #1063 TranscriptSHOW VIDEO: https://youtu.be/vL8btTMcInESHOW SPONSORSNordLayer - Use ENTERPRISE10 for 10% offNasuni - Activate your data for AI and request a demoSHOW LINKSDiego Oppenheimer homepageDiego on LinkedInAI TinkerersGuardrails AINanoClaw on GitHubThe New Stack, "OpenClaw vs. Hermes Agent: The race to build AI assistants that never forget"The New Stack, "NanoClaw and Docker team up to isolate AI agents inside MicroVM sandboxes"GUEST BIODiego Oppenheimer is working full-time at AIT Fund (the fund behind AI Tinkerers) and previously was a partner at Factory and served as CEO-in-residence at Factory. He founded Algorithmia, an enterprise MLOps platform acquired by DataRobot, co-founded Guardrails AI, and earlier in his career led teams at Microsoft shipping Excel, SQL Server, and Power BI. He is currently running AI agents inside his own team to take on real, sustained work, including one named Ashley, and documenting what he's learned in a new video series with Joe Heitzeberg.FEEDBACK?Email: show @ the enterprise ai show dot comBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

Danit Nativ Navon, Senior Software Engineering Manager at Meta, unpacks how the company became the first major tech firm to build AI-enabled coding interviews. She breaks down the process of rethinking what engineering interviews actually measure (now that AI can write the code itself), and explains why the leadership qualities that matter most now look nothing like the skills these interviews were originally built to test. Key Takeaways: How to tell the difference between a candidate who's simply good at prompting from a genuine AI-native engineer What a viral interview-cheating tool revealed about a much deeper flaw in traditional coding tests Why leadership qualities are becoming more valuable to engineers in the AI era How company culture ends up being the real safeguard for privacy and safety  Guest Bio: Danit Nativ Navon is a Senior Engineering Manager in Meta's Applied AI division, with two decades of experience and an academic background in Computer Science and Neuroscience. At Meta, she pioneered AI-enabled coding interviews, making it the first major tech company to adopt AI-native evaluation for engineering talent. She also coaches leaders through AI-driven change and helps new hires to integrate AI skills into Meta's engineering environment. A self-described late adopter who chose to evolve rather than fall behind, Danit now helps others step confidently into the AI era. Her global journey across Israel, Singapore, Mexico, and London informs her practical, people-first approach to engineering leadership.  ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

בשנתיים האחרונות, טוקנים הפכו להיות אחת מההוצאות המשמעותיות בארגונים טכנולוגיים, אלא שכרגע עוד לא ממש ברור איך לנהל אותן. כיום חברות מעודדות עובדים לשלב AI בכל תהליך, אבל מתקשות לקבל את התמורה הטובה ביותר עבור ההשקעה שלהן. אז איך מאפטמים את ההוצאה על AI ברמה הארגונית? איך אפשר לעזור לעובדים שלנו להשתמש בטוקנים בצורה חכמה? ואיך משיגים את התוצאות הרצויות בפחות טוקנים? בפרק השבוע דריה ורטהיים מדברת עם ירון סברדלוב (CDIO) וקרן קושמן (Head of Applied AI) על כלכלת הטוקנים במאנדיי דרך שלוש שכבות של אופטימיזציה - החל ממשא ומתן מול ספקיות ה-LLM, דרך שימוש חכם בטוקנים, ועד לוגיקה שצרובה ממש בהארנס עצמו. הם משתפים במאמצים כמו פיתוח סקילים כגון "Caveman", שמנקה אוטומטית טקסט מיותר מהפרומפט וחוסך כ-60% מעלות האינפוט, ודיוק וצמצום הקונטקסט לרמה אופטימלית כדי לשפר את איכות התשובה. הם מסבירים גם על מנגנוני הראוטינג שבוחרים מאחורי הקלעים את המודל המשתלם ביותר לכל משימה, ואיך פיתחו את מדד ה-monday bench שמאפשר מעקב והשוואה שעוזרים לחתוך את העלויות בעשרות אחוזים עבור אותו תוצר. לצד הפתרונות הטכנולוגיים, הם מראים שחינוך המשתמשים הוא מפתח קריטי להצלחה, ומדגימים כיצד חשיפת נתוני ההוצאות האישיות לכל עובד רתמו את האנשים לקחת אחריות והובילו לירידה דרסטית בצריכה הכוללת בארגון.See omnystudio.com/listener for privacy information.

After prioritizing a flatter organizational structure and reducing middle management over the past year, Meta is now reversing course by inviting some employees to return to leadership roles. This voluntary transition specifically targets the Applied AI division, where many former supervisors had been reassigned as individual contributors during recent corporate streamlining. Industry experts suggest this move highlights the hidden costs of flattening, such as lost coordination, decreased mentorship, and employee burnout. While the company initially sought operational efficiency through fewer management layers, the complexity of rapid AI development has necessitated a return to dedicated leadership to manage high-stakes technical projects. Ultimately, the shift indicates that even lean tech giants require structured oversight to handle the intricate demands of emerging technologies and cross-functional team alignment.

Most operators never learn to fight autopilot, the quiet enemy of excellence.In this episode, Lindsay Smith sits down with Mike Fedorov, COO of Applied AI Labs. With 26 years in operations and supply chain, as a former Accenture Director and Mars operations leader, Mike built his reputation staying on-site, in the detail, close to where the work breaks.He shares his philosophy that a COO's first job is to keep the lights on, and the second is to keep them on better, explaining why flat structures are replacing layers of management, how AI works best as a coordination layer, and the defining power of mentorship in his career.Sponsored by:STS Capital Partners - Your expert guides on the journey to an Extraordinary Exit™. To learn more about STS Capital Partners and how they achieve maximum value by Selling to Strategics™, complete the inquiry form here: https://stscapital.com/coo-alliance/Timestemped Highlights00:00 The Future of Flat Organizational Structures01:44 What Applied AI Labs Does02:38 The COO's Real Job: Keep the Lights On, and Better05:11 A COO Who Watches Two Operations at Once08:08 Scaling After Excelling: The Contractor Approach09:18 Why Flat Structures Are Replacing Layers of Management11:01 What Big Companies Get Right About Operations12:45 Nimbleness vs. Routine: Autopilot as the Enemy of Excellence16:06 How AI Actually Helps Operations: The Coordination Layer18:44 AI as a Copilot, Not a Replacement20:06 AI in Recruiting: What Works and What Fails27:34 Defining Moments: The Power of Mentorship30:52 How to Find and Structure Mentorship38:55 What's Next for Applied AI Labs43:55 Personal Growth: Knowing What You Don't KnowAbout the guestMike has 26 years of experience in operations and supply chain, as a former Accenture Director and, before that, leading operations planning and execution for Mars. He has run and turned around operations for some of the most complex and demanding companies in the world, and has saved major clients that were ready to walk. He leads engagements the way he has always worked: on-site, in the detail, close to the people who know where the work breaks. Operators trust Mike because he has done their job.Mentioned ResourcesMarsAccentureAbout the Co-HostLindsay Smith is an experience-driven growth strategist and former Chief Strategy Officer. She previously scaled a new region without a traditional sales team or bloated marketing budget by turning relationships, culture, and execution into revenue. She is the author of No One Needs Another Company Mug, Stop Branding, Start Experiencing, and helps leadership teams use experience as a competitive growth lever.Important LinksConnect with Cameron: Website | LinkedInExplore the COO Alliance – The World's Leading Community for Seconds in CommandGet Cameron's book: Second in Command, Unleash the Power of Your COO BookClaim your FREE copy: Second in Command: Unleash the Power of Your COO BookTake his course: Invest In Your Leaders Online Course (Use promo code PODCAST10 before the end of the month for 10% off)Chat or video call with AI Cameron via Delphi

Trent Livingston is back on That Tech Pod. When Trent first joined the pod for Episode 3 in 2021, he was leading ESI Analyst, a pioneering SaaS company focused on data discovery for the legal industry. Today, after selling ESI Analyst, he's tackling a very different problem: America's housing crisis. As co-founder and CEO of ZoneLex, Trent is focused on one of the least visible but most consequential pieces of the housing puzzle: zoning law. Fragmented, constantly changing local regulations can determine what gets built, where it gets built, and whether the housing Americans need can actually get approved.We talk about Trent's journey from legal tech to housing, why zoning is such a massive technology problem, and how his experience working with complex legal and data systems led him to this new challenge. We also dig into his philosophy around Applied AI and Small Language Models, and why bigger models aren't necessarily better for enterprise applications.From the limits of today's AI systems to the possibility that technology is beginning to outpace the laws governing it, Trent makes the case for a different approach to AI: know the land. Know the laws. And, naturally, we end with the question: after taking on zoning, housing, and some of America's most complicated regulatory data, what's the next impossible problem Trent might decide to tackle?Trent Livingston is a two-time founder who specializes in bringing macro-level technology visions to life. After founding and selling ESI Analyst, a pioneering SaaS data discovery solution in the legal tech space, Trent turned his attention to a massive new challenge: U.S. zoning law and the nation's housing crisis. His motivation to tackle this space is directly tied to his deep foundation in legal technology and his work as a testifying expert in complex data analytics. Recognizing that the "missing middle" housing shortage ultimately starts and stops with fragmented, ever-changing laws, he co-founded ZoneLex. As CEO, Trent drives the strategic vision for an enterprise platform powered by Applied AI and Small Language Models designed to decode and structure this complex legal landscape. With over two decades of experience, Trent excels at identifying massive, unaddressed bottlenecks and building market-defining B2B businesses that drive real-world impact.

Listen to Akin's shift from AI experimentation to firmwide adoption, featuring Jeff Westcott with Akin and NetDocuments' Heath Harris. Akin began its journey by testing many AI tools, then focused on practical platforms such as NetDocuments AI  to unlock value from its large document repository. The speakers emphasize embedding AI where lawyers already work, especially in the document management system to reduce friction and improve searchability. Key themes include trust, governance, client sensitivity, and internal buy-in.   To learn more about Akin, visit https://www.akingump.com To learn more about NetDocuments, visit https://www.netdocuments.com/ Find Jeff Westcott, Director, Practice Technology, Innovation & AI, Akin, on LinkedIn Find Heath Harris, VP, Applied AI, NetDocuments, on LinkedIn

Artificial intelligence is moving beyond chatbots and experiments. The next phase is increasingly about AI agents capable of handling entire workflows, forcing businesses to rethink not just which technology they use, but how their organisations actually operate.In this special Fear & Greed Q+A panel, recorded at the launch of NTT DATA’s Innovation Centre Australia in Sydney, Sean Aylmer speaks with Vannessa Van Beek, CISO at Fortescue; Natalie Piucco, Google Field CTO for Applied AI; and David McKeering, Executive Managing Director at NTT DATA ANZ. They discuss how Fortescue is already using AI across its mining operations, why businesses need to stop “Frankensteining” AI onto old processes, and how organisations can balance innovation with governance, security and trust.NTT Data is a supporter of Fear & GreedFind out more: https://fearandgreed.com.au/See omnystudio.com/listener for privacy information.

Google quietly shipped four new ad formats inside AI Mode, and almost nobody covered it. We did. Plus: a $13 CPC on ChatGPT ads, and Memrise's growth agent that lives entirely in Slack.CHAPTERS00:00 Cold open03:06 Welcome — Victoria joins, Polina returns04:24 What's on the show today05:30 WATERCOOLER: Sonnet 5's price hike and Fable 5's return07:38 Token-maxing culture and the hidden cost of the price hike10:16 Ford rehires the people it fired — to train the AI12:47 Why the most elementary AI framing gets the most buzz14:27 Benchmarking models on price, speed and quality before you buy15:12 Product Hunt's June: the top tools were integrations, not standalone AI17:30 The core stack nobody has replaced (and why Slack survived)22:14 The vibe-coded app problem: broken back ends, ToS exposure, $20 lessons26:01 Cannes Lions: the agency billing model everyone admits is dead28:02 Creator activations go niche — eyeballs over follower counts28:45 Why Victoria skipped Cannes, and the CEO as the next creator31:04 Celebrity clout vs. an actual event strategy33:40 AI's image rehab in marketing, and the founders paying for their own message36:06 SheaMoisture flipped the creator brief39:21 Why YouTube mid-roll ad reads stopped working40:42 Google's AI Mode ads — the story nobody covered43:03 Four new ad types, and what a business owner is actually signing up for44:43 A $13 CPC on ChatGPT ads46:10 Could ChatGPT just run an affiliate network instead?49:44 MARKDOWN: Lizzie Lawley, Head of Applied AI at Memrise50:20 From pilot, to AI companion platform, to Wombat, to Memrise53:39 The system map: every input feeding the growth machine56:00 Core principles: context first, cheapest capable model, disagreement as a feature56:36 "Months of work in hours" — what it actually saved58:36 The loops: synthesis, experiment shaping, prototyping, build ticket, human gate1:00:41 Live demo: "It's just Slack, baby"1:03:10 How the agent gets fresh context every single night1:06:04 OpenClaw V1, then real engineers rebuilt it1:07:06 The failures: how expensive it got, real quick1:08:32 The model pricing tier system, tier by tier1:11:19 Where the user interviews actually live (it's Google Docs)1:13:59 The bot that spammed banana emojis, and what it taught her1:15:54 Claude Design as a starting point for growth people who can't design1:17:35 Why we skipped Hot Button this week1:18:27 ADAHOLIC: the rules1:20:22 Round 1: Ed Sheeran, a posh restaurant, and way too many forks1:23:33 Round 2: red key, blue key, and a luxury pitch1:26:23 Round 3: "Yo... where's Dukey?"1:29:03 Round 4: the Mother's Day one1:32:26 Round 5: the car ad Arnav paused a second too late1:35:14 Round 6: puffballs, chrome nails and woodworking1:39:07 Round 7: "a better everyday life for the many people"1:40:41 Victoria takes the crown on her first appearance1:41:54 CloseTHIS WEEK'S GUESTLizzie Lawley — Head of Applied AI at Memrise, co-founder of Wombat. She built a platform handling millions of simultaneous AI interactions with cost-efficient model routing, and now runs agent orchestration for Memrise's growth team. Her system pulls from transcripts, app reviews, Zendesk tickets, past experiment synthesis, Athena and BigQuery, and runs a nightly cron job so the agents never work off stale context. Methodology follows Bob Moesta's jobs to be done. The team calls it BYOB — bring your own Bobby.Ads featured in Adaholic this week: Heinz, Kia, Budweiser, Honda, Pinterest, IKEA.

This week Carolyn Woodard covers how to get AI literate, moving from the big-picture policy questions she's been focused on lately back to a practical roundup: how do you and your staff build AI literacy, and do you need a certificate to prove it?She starts with free and low-cost nonprofit-specific options: PoliSync's four-module Certificate in Applied AI for Social Good, and Tim Lockie's hands-on AI for Anyone course through The Human Stack ($99). She also points to more general platforms like LinkedIn Learning, plus certifications straight from the source: Anthropic's free AI Fluency for Nonprofits course and paid Claude Certified Associate exam, Microsoft's AI Business Professional Certificate for Copilot users, and Google's Gemini certifications (for general knowledge, no previous experience necessary.) For a deeper resource, she recommends Cheryl Contee's book AI for Nonprofits and its companion AI4NP.org knowledge hub.Carolyn's take: if you like structured learning and taking a class, or need a credential for a job or your own development plan, get one; if you're a self-directed learner already experimenting hands-on, you can decide if you need that credential too. Either way, AI literacy is what lets you and your organization make informed, values-driven decisions about how, or whether, to use these tools. She closes on a bright note: data center moratoriums are gaining momentum in cities and counties nationwide, proof that community advocacy is having a real effect.This episode covers:Free and low-cost AI literacy courses for nonprofit staff.Certification options straight from Anthropic, Microsoft, and Google for teams already using Claude, Copilot, or Gemini.How to decide whether you actually need a certificate, based on your learning style and goals.A recommended book and knowledge hub for going deeper on AI at nonprofits.Resources Mentioned:Certificate in Applied AI for Social Good – PoliSync – https://www.polisync.org/ai-certificateAI for Anyone – The Human Stack – https://thehumanstack.com/academy/aiforanyoneAI for Nonprofits Cohort (currently closed, see AI4NP.org below) – NTEN – https://www.nten.org/learn/nonprofit-tech-readiness/ai-for-nonprofitsCareer Essentials in Generative AI – LinkedIn Learning / LinkedIn for Nonprofit https://www.linkedin.com/learning/showcase/artificial-intelligence-22747885Udemy Nonprofit Plan FAQ – Udemy Business – https://business-support.udemy.com/hc/en-us/articles/115016125628-Nonprofit-Plan-FAQAI Fluency for Nonprofits – Anthropic Academy – https://anthropic.skilljar.com/ai-fluency-for-nonprofitsClaude Certification Program – Anthropic / Pearson VUE – https://www.pearsonvue.com/us/en/anthropic.htmlAI Business Professional Certificate – Microsoft Learn – https://learn.microsoft.com/en-us/credentials/certifications/ai-business-professional/Google AI Professional Certification - Google - https://grow.google/enroll-certificates/ai-professional-certificate-mid/Gemini Certifications – Google for Education – https://edu.google.com/intl/ALL_us/learning-center/certifications/AI for Nonprofits (book and knowledge hub) – AI4NP.org – https://www.ai4np.org/aboutData Center Reporting Tracker – Erin Brockovich – https://www.brockovichdatacenter.com _______________________________Start a conversation :)Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/email Carolyn at cwoodard@communityit.comon LinkedIn on reddit/r/nonprofitITmanagementon the Community IT websiteThanks for listening. 

In this episode of Capital for Good we speak with Julie Samuels, the founder, president, and CEO of Tech:NYC, a network of technology leaders dedicated to fostering a dynamic, diverse, and creative New York. Launched in 2016, Tech:NYC operates at the intersection of business, government, academia, and philanthropy, convening leaders to strengthen New York's innovation economy through policy, partnerships, and programs. We begin with some of Samuels's formative experiences at the intersection of technology and policy: a college internship at the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign, work as an IP lawyer and at the Electronic Frontier Foundation (EFF), and her leadership of Engine, the national nonprofit focused on technology entrepreneurship and advocacy. We also discuss the context and conditions that would inform the launch of Tech:NYC: the groundwork laid by the Bloomberg Administration to foster the growth of the city's tech sector, a critical mass of tech firms in the city, and industry leaders like Fred Wilson, Kevin Ryan and Tim Armstrong who recognized that better and coordinated leadership could help shape New York's continued growth as the country (and world's) number two tech hub behind Silicon Valley. Samuels is passionate about the technology-city nexus. "Tech culture and tech zeitgeist really lend themselves to an urbanist way of seeing the world," she says. "People in tech have a systems framework, and big urban centers like New York are all about systems — think about things like public transit. This makes for natural connection between tech and urban centers." She notes that New York has been particularly successful in tech because of the diversity of its other industries: companies can apply and test technologies developed on the West Coast to other markets, from financial services and health care to real estate, hospitality, media, fashion, or wherever New York is the world's "center of gravity." According to Samuels, these dynamics underpin the sector's extraordinary growth: today technology is the city's fastest growing industry with over $30 billion in annual venture capital flowing to 25,000 startups and accounting for 300,000 jobs (64 percent growth over the last decade, 41 percent of net job growth since 2019) and nine percent of the Gross City Product. Samuels underscores the cultural reasons this growth is durable: "Tech is a creative industry," she explains. "It benefits from the creative energy of a big city… density, networks of different kinds of people, cultural institutions, night life. When I lived in San Francisco, I would meet tech people who lived in SF. Here, we have New Yorkers who work in tech." Tech:NYC's work has evolved over the last ten years, while remaining true to its mission "to ensure New York City is the best place to start and grow a tech company." For Samuels, this mission is two-fold: create the conditions for the tech industry to thrive and integrate technology into the life of the city in ways that uplift everyone. "As tech radically changes how all of us live and work," Samuels says, "Tech:NYC exists to ensure transition is as smooth as possible." As a research and policy advocacy organization, Tech:NYC focused its early years primarily on technology policy and the role of the tech sector in the city and state's larger economy. Today, Samuels notes, while Tech:NYC still works closely on tech policy — things like data privacy, broadband, or public private partnerships like Empire AI, which will provide state-of-the-art power for New York's top University researchers to develop safe, equitable, and responsible AI — it is also focused more broadly on basic "livability" issues like housing, education, and public safety that allow people to live, work and raise families in New York.  Tech:NYC's work also extends to programs like Decoded Futures, a capacity-building AI initiative that equips leaders from the social sector with the tools and skills to use AI to scale their impact, and the Grid Fellowship, which connects technology leaders with New York's public sector. And since its earliest days, Tech:NYC has undertaken many initiatives in K-12 and higher education and workforce development to invest in the participation of all New Yorkers in the tech economy. We discuss the challenges of the current moment, including the advent of AI and its attending economic and political complexities. Ultimately, Samuels says, "Progress is real; we're strivers, builders, creators. Let's lean into that, and make sure growth happens with intention and with the right guardrails. New York can lead on this."   Mentioned in this episode: Tech:NYC Built to Lead: New York's Momentum Toward Global Leadership in Applied AI, (Tech:NYC and Accenture, 2025)

In this week's updateUK shops are about to call the police on you within four seconds of you walking through the door - and you don't have to do anything wrong first.A GitHub account sat completely silent for 19 months, then woke up and dropped a working mass-exploit kit within minutes - and age on the internet is not the same as trust.Fifty-five percent of Americans have quietly stopped posting on social media - and the reason isn't what the platforms want to admit.Recruiters say they can't find workers. New graduates say they can't find jobs. The economy says both of them are right - and AI is not actually the villain in this one.Applied AI engineering is becoming one of the hottest jobs in tech, and the skill that matters most is not writing clever prompts - it's building report cards for AI that catch the model when it quietly does something dangerous.The Pentagon opened a paid cybersecurity apprenticeship that requires no degree, no experience, and no prior skills - and 70,000 people showed up within days.Russian intelligence didn't hack into military networks to spy on NATO supply convoys - they just looked through the security cameras of ordinary homes with default passwords.The US and China are fighting an AI war on two fronts simultaneously: American companies are secretly using Chinese models to cut costs, and Chinese teams are running millions of fake conversations with American AI to steal what makes it work.Cloudflare has stopped asking you to click the traffic lights. Now it just watches your mouse move - for your entire visit - and decides from there.This week's stories are united by a single uncomfortable observation: the systems we built for convenience keep turning into systems of surveillance, and the systems we built for security keep being the ones we forgot to secure. Some of this week is alarming. Some of it is genuinely useful. All of it is worth understanding. Let's face it.Find the full transcript to this week's podcast here.

Artificial intelligence is changing how health coaches and wellness professionals manage their businesses, communicate with clients, and deliver personalized support. In this episode, Cathy Sykora speaks with AI education and workforce transformation leader Ben Tasker about using AI responsibly while keeping human judgment at the center of the coaching relationship. Ben shares practical ways coaches can use AI for client education, call summaries, marketing, lead management, content creation, data analysis, and administrative tasks. He also explains why coaches must review AI-generated information, protect client privacy, obtain appropriate consent, and avoid relying on full automation for complex or high-risk decisions. This conversation offers a balanced look at how health coaches can build AI skills, save time, create new revenue opportunities, and strengthen the human-centered work that makes coaching valuable. In this episode, you'll discover: How AI can personalize client education while keeping the coach involved in reviewing and guiding the information Why AI should be treated as an assistive system rather than a replacement for human expertise, empathy, and common sense Practical ways health coaches can use AI for transcripts, client notes, content creation, marketing, scheduling, and lead follow-up How coaches can experiment with AI through low-risk tasks before using it in more complex client workflows Why consent, privacy, data protection, and responsible AI policies are essential when working with client information How AI upskilling and reskilling can help coaches improve efficiency, expand their services, and create new revenue opportunities Which AI applications may carry greater risks, including unsupervised chatbots, complex scheduling, and automated client decisions Memorable Quotes: "AI doesn't have common sense. It just has prediction information." "Just because you have an AI tool doesn't mean you really have an AI strategy." "You want to engage with it so you're not left behind, but at the same time, you have to understand that there's risks and opportunities with it." Bio: Ben Tasker is a recognized leader in AI education, workforce transformation, and responsible AI adoption. He currently leads a Data & AI Academy focused on upskilling and reskilling 36,000 employees in the public utility sector, ensuring the workforce is AI-ready for the future. He also serves as a Technical Advisor for uCertify, a global leader in workforce certification and reskilling. Previously, Ben was the Dean of AI at Southern New Hampshire University, where he spearheaded Applied AI programs and pioneered a skills institute focused on workforce AI + Human upskilling and reskilling. He also teaches as a part-time faculty member at Northeastern University's Khoury College of Computer Sciences, one of the world's top universities for AI education. Earlier in his career, Ben was a project manager at Northeastern's Experiential AI Institute, creating technical and responsible AI products for companies like Two Sigma and Unum Insurance. He also served at MaineHealth as a Data Scientist, where his integration of AI products enabled predictive diagnostic tools that directly contributed to saving lives. Mentioned in This Episode: Ben Tasker's Website: https://www.bentaskerai.com/ Ben Tasker on Instagram: https://www.instagram.com/bentaskerai/ Ben Tasker on LinkedIn: https://www.linkedin.com/in/bentaskerai/ Links to Resources: Health Coach Group Website: thehealthcoachgroup.com Special Offer: Use code HCC50 to save $50 on the Health Coach Group website Leave a Review: If you enjoyed the podcast, please consider leaving a five-star rating or review on Apple Podcasts.  

Part 2 of 2. In Part 1 we walked the road from 2011 — three companies, an investor ultimatum, and the capital it took to build. Part 2 is the mind. Saahil Goel starts with what, given hindsight, he'd do differently, then the first principles he runs Shiprocket on (distribution beats product), the two or three metrics he genuinely obsesses over, his bet on applied AI, why he believes you can't actually manage people, who does and doesn't survive at the company, the guitar he still plays, his dog, and the question Rohin closes every episode with, which Saahil answers with a single number.Chapters1:02  With hindsight, what he'd do differently2:10  “A paisa of every transaction in India”5:23  First principles: distribution beats product11:32  The metrics he obsesses over17:22  Betting on applied AI29:33  “You can't manage people”31:45  Who doesn't survive at Shiprocket42:05  The guitar, Pink Floyd, and Bruno the CHO58:28  The book he forgets — and how he reflects1:00:50  Rating his life an 8This episode was produced by Rohin Dharmakumar and mixed and mastered by Rajiv CN.Write to us at fp@the-ken.com with your feedback, suggestions, and guests you would want to see on First Principles.If you enjoyed this episode, please help us spread the word by sharing and gifting it to your friends and family.

News and Updates: Meta's Secret "Arena" App: Zuckerberg is building a standalone prediction-markets app to rival Polymarket and Kalshi, likely using points instead of real money, separate from Facebook and Instagram. Meta's AI Reorg Backlash: CTO Andrew Bosworth admitted Meta's 6,500-person Applied AI division rollout was "atrocious," promising better communication, smaller management spans, and workplace perks after morale complaints. Employees drafted into Meta's AI unit described menial work; the company now says workers can transfer out and will get more career-growth support. Google Held Liable for AI Errors: A German court ruled Google responsible for false claims generated by AI Overviews, treating the summaries as Google's own statements rather than neutral search results. OpenAI Eyes Price Cuts: OpenAI is considering slashing token prices to compete with Anthropic as rising AI costs frustrate business customers, while also confidentially filing for an IPO. RAM Prices Set to Surge: Analysts expect DRAM prices to jump 40-50% in Q3 2026 and 30% more in Q4, driven by AI data center demand outpacing supply.  

The future doesn't belong to the BA who writes the best requirements. It belongs to the one who can design an environment where AI amplifies human judgment. Ready to think differently about your career?A note: this conversation was recorded in May 2025 — more than a year before this episode aired. A lot of what Susan Yu talked about has since caught up with the rest of the world. That's what futurists do!In this episode, host Susan Moore sits down with IIBA president and CEO Delvin and Susan Yu, chair of the IIBA Sydney chapter, futurist, and author of the upcoming book on AI-augmented business analysis. The result is one of the most grounded, practitioner-level conversations on agentic AI you'll hear—no hype, just real talk from people who are living through this shift.Susan Yu brings a perspective most of us haven't heard before: she fell into generative AI through a book club full of movie directors, startup founders, and university professors—not enterprise folks. That outside-in lens shapes everything she shares in this episode. She's direct about where organizations are versus where the tech industry thinks they are, and why this is important for business analysis professionals as they are trying to figure out where they fit.The conversation zeroes in on agentic AI—AI that can execute entire decision chains. The stakes are different here. When an agent can write, send, and optimize a process end-to-end, someone has to be thinking about the ethical architecture underneath it. That someone, as Delvin and both Susans make clear, should be us.

Stefan Jansen is the founder and CEO of Applied AI. He advises Fortune 500 companies, investment firms, and startups across industries on data & AI strategy, building data science teams, and developing end-to-end machine learning solutions.  Before his current venture, he was a partner and managing director at an international investment firm, where he built the predictive analytics and investment research practice. He was also a senior executive at a global fintech company with operations in 15 markets, advised Central Banks in emerging markets, and consulted for the World Bank. In this podcast, we discuss: Defining AI as a Moving Target The Trading vs. Business Data Science Divide Synthetic Data and the "Fat Tail" Challenge Shapley Values: Turning Black Boxes Grey Agentic AI and Unstructured Data RAG, Provenance, and the Context Window Debate The "Alpha Factory" Workflow Reinforcement Learning (RL) for Execution, Not Prediction The Critical Role of Human Context Advice for the AI-Native Job Market 

The conference highlighted a critical shift in the technology and engineering ecosystem, moving away from passive implementations toward autonomous AI systems, collaborative communities, and robust engineering guardrails. Discussions centered on the practical architecture required to scale AI safely, the evolution of modern developer tools, and the importance of cross-border technical collaboration. Ultimately, the insights underscored that the future of technology relies on blending rigorous infrastructure with human-centric ecosystem growth.Florian Hönicke an expert in engineering infrastructure, explored the operational shifting of cloud services and the challenges of secure temporary access provisioning. He detailed strategies for managing transient credentials for large groups and autonomous agents using automated serverless functions without exposing long-lived access keys. His central thesis argues that true engineering rigor requires deterministic, self-expiring security layers at the container level.Stella Buhalis, a technical community and developer relations leader, addressed the human dynamics fueling open-source ecosystems and community-driven adoption. She emphasized that long-term project viability stems from structured developer onboarding and lower cognitive barriers rather than pure marketing outreach. Her key insight is that building trusted technical communities acts as the ultimate feedback loop for improving developer experience and software reliability.Błażej Nowakowski, a backend systems architect, focused on database migration paradigms and the optimization of high-dimensional vector search at the network edge. He analyzed real-world infrastructure friction points, specifically isolating SQLite database lock conflicts and remote data sync latencies on serverless architectures. He noted that decoupling persistent remote backends from the core runtime is crucial for maintaining low-latency, multi-cloud application performance.Alena Astrakhantseva, a talent strategy and engineering education specialist, outlined the rapid evolution of technical training as the industry shifts from traditional development to autonomous AI flows. She analyzed how continuous testing, real-time monitoring, and structured evaluation frameworks must become core competencies for new developers. Her notable perspective highlights that the next wave of technical talent must be hired for systemic engineering rigor over simple syntax mastery.Zhen Ming Ng (Babypro), an open-source library maintainer and developer, demonstrated automation workflows for package deployment and baseline library compliance. He focused on minimizing framework overhead by substituting heavy, resource-intensive dependencies with lightweight tokenizers and compact client drivers. His core perspective is that library design must prioritize minimalism to remain functional across edge-native runtime environments.Connect with speakers: Florian HönickeCloud Infrastructure & DevOps Engineer Specialisthttps://www.linkedin.com/in/florian-h%C3%B6nicke-b902b6aaStella BuhalisDeveloper Relations & Technical Community Leadhttps://www.linkedin.com/in/stella-buhalisBłażej NowakowskiBackend Systems Architect & Database Engineerhttps://www.linkedin.com/in/b%C5%82a%C5%BCej-nowakowski-096716168/Alena AstrakhantsevaTechnical Talent Strategist & Engineering Educatorhttps://www.linkedin.com/in/alenaastra/Zhen Ming Ng (Babypro)Open Source Software Maintainer & Core Developerhttps://www.linkedin.com/in/ming91/

When Demis Hassabis pitched DeepMind to a few venture capitalists back in 2010, the business plan was almost comically audacious. “Step one: Solve intelligence. Step two: Use it to solve everything else,” he recalls in a conversation at Stanford Graduate School of Business with Stanford University President Jonathan Levin. “And people were quite confused. But we really meant it.”Sixteen years later, the “broad arcs” of that plan have gone “unbelievably well,” says Hassabis, a chess prodigy turned video game developer turned neuroscientist turned Nobel Prize-winning AI pioneer. Today he's on a mission to create “the ultimate tool for science,” building on his decision to give away AlphaFold, the groundbreaking AI system that predicts the structures of proteins. The future, Hassabis says, is just around the corner: “Ten years from now, I think we'll realize that we were standing in the foothills of the singularity now.”AI@GSB, the Dean's Applied AI initiative at the Stanford Graduate School of Business (GSB), and Stanford Medical School hosted a conversation with Demis Hassabis, Co-founder and CEO of Google DeepMind, on the frontier of artificial intelligence and what it means for how we live, work, and flourish.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this Karma School of Business crossover episode, Sean Mooney is joined by Lloyd Metz, Managing Partner of ICV Partners; Doug McCormick, Managing Partner of Oridian Capital Partners; James Aylward, Chief Product and Technology Officer at BluWave; and Nathan Plummer, Co-Executive Director of Venture Café Global Institute. The group explains how AI moved from long-running concept to practical business tool, and what that means for private equity firms and portfolio company leaders right now. They cover agentic AI, data readiness, applied AI use cases, internal tooling, security concerns, and the leadership challenge of getting teams to adopt new ways of working. This is a practical conversation for business builders who want to move past AI hype and start creating real value—hit play. Episode Highlights 2:13 - James Aylward's path from Fidelity's AI incubator to BluWave's technology strategy 5:08 - Nathan Plummer on Venture Café's role in connecting startups, investors, and innovators 9:17 - Why ChatGPT marked a "Gutenberg moment" after decades of slower AI progress 13:10 - AI shifts from autocomplete and thought partnership to writing major chunks of code 18:06 - Applied AI moves beyond efficiency into biotech, robotics, imaging, and new product creation 23:28 - Why proprietary data may become the real moat for private equity-backed companies 35:42 - AI literacy, adoption, and the leadership work required to make tools stick 44:05 - BluWave's internal AI tool shows how company data can power faster decisions For information on Oridian Capital Partners, go to https://oridiancapital.com/ For information on ICV Partners, go to https://www.icvpartners.com For information on BluWave, go to https://www.bluwave.net

Send us Fan MailIn this high-level investor panel clip, an experienced investor explains why Applied AI will transform nearly every industry — but why most AI startups still won't survive.He breaks down the real challenge for investors: identifying AI companies with a true moat, scalable business model, and realistic exit potential before larger incumbents crush them.They also discuss why many AI infrastructure plays may already be overpriced, and where smarter investors are looking now: AI app layer opportunities, specialized robotics, data optimization, agriculture, sanitation, and niche automation.Topics Covered:✅ Why most AI startups may fail✅ How investors evaluate moats in AI✅ Why AI infrastructure may be too crowded✅ Better opportunities in applied AI✅ Robotics, agriculture & sanitation AI plays✅ How to invest beyond the hype cycle✅ AI investing strategy for 2026If you invest in AI, startups, private equity, venture capital, or future tech, this is a must-watch.

Send us Fan MailIn this powerful investor panel clip, a serial entrepreneur with exits to Apple, Oracle, and SAP shares what founders get wrong about building companies for acquisition.After multiple successful exits and a decade at Apple, he explains why chasing a sale too early destroys priorities — and why the best acquisitions happen when you build a real solution first.He also discusses the future of Applied AI, how AI will organize our chaotic digital lives, and why adversity often creates the biggest breakthroughs.Topics Covered:✅ Founder with exits to Apple, Oracle & SAP shares lessons✅ Why building to sell is usually the wrong strategy✅ Jeff Bezos “missionaries vs mercenaries” mindset✅ How great acquisitions actually happen✅ Applied AI opportunities in daily life✅ Why adversity often leads to success✅ Building startups the right way in 2026If you're a founder, investor, entrepreneur, or startup operator, this is a must-watch.

The Information's San Francisco Bureau Chief Jason Dean talks with TITV Host Akash Pasricha about Meta's internal plans to charge up to $200 a month for its premium AI agent, Hatch. We also talk with Helion Energy Founder and CEO David Kirtley about the nuclear fusion company's new $465 million funding round at a $15.5 billion valuation, Netskope CEO Sanjay Beri about the cybersecurity market's growth deceleration and using Anthropic's Mythos model to spot code vulnerabilities, and Snowflake Chief Data and AI Officer Anahita Tafvizi about the enterprise launch of its newly rebranded CoWork and CoCo tools. Finally, we get into the systemic shift from open academic research to closed frontier AI laboratories with our Applied AI reporter Laura Bratton.Articles discussed on this episode: https://www.theinformation.com/newsletters/ai-agenda/billionaire-databricks-perplexity-co-founder-pitches-ai-researchers-work-big-techhttps://www.theinformation.com/articles/fusion-startup-helion-nearly-triples-valuation-15-5-billion-thrive-led-roundhttps://www.theinformation.com/articles/meta-looks-charge-200-month-planned-hatch-ai-agentSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/Chapters:00:00 - Introduction01:13 - Meta's $200/Month AI Agent Hatch08:26 - Helion Energy Raises $465M for Fusion16:10 - Netskope CEO on AI Growth & Anthropic Mythos27:36 - Snowflake Launches CoWork and CoCo AI Tools34:26 - Databricks Co-Founder on Open AI Research

This week, we sit down with Rick Van Rousselt, Microsoft 365 MVP and managing partner at Advantive Belgium, for an honest look at what's actually working with applied AI in customer environments and what's quietly failing. We dig into the agentic shift across Agent 365, Entra Agent ID, Microsoft Agent Framework, and AI Foundry; the build-versus-buy line now that Microsoft is shipping agents into every product; and why the wave of Copilot rollouts is finally winding down. (00:00) - Intro and catching up.(00:29) - Show content starts.Show links- Find Rick van Rousselt on LinkedIn- Give us feedback!

Toronto is emerging as a centre for applied artificial intelligence across industry and services. International Business University's MSc in Applied AI - Industrial Innovation specialization prepares students to apply AI in automation, robotics, and intelligent systems within operational environments. International Business University City: Toronto Address: 655 Bay St. Website: https://ibu.ca/ Phone: +1 416 923 1111 Email: admission@ibu.ca

Anyone that follows me on social media will know that I am not the biggest fan of AI and in particular Generative AI. So when I ended up sitting next to the founder of The Institute of Applied AI, Siobhan O'Leary at a Chamber breakfast, I couldn't resist inviting her to come on the Win Happy podcast ! We had a really fascinating chat about the family jewellery business, her career as an engineer, the challenge of juggling work and family, and then a huge pivot to self employment and the world of applying AI to business. When I was editing the podcast, after about 25 minutes of perfect audio for some reason the sound collapsed on Siobhan's microphone and I was struggling badly to recover the audio quality. After lots of repair work by me using the software that I normally use, I had an ok recording but it wasn't at all good enough to publish. Instead of abandoning what I had, I ironically turned to an AI repair tool that I had never used before to see if it could rescue the recording At times it changed Siobhan's voice and at times it managed to mispronounce some words - it still needed some intervention from me and a few parts I had to delete but all in all it did an ok job. I'll let you listen and figure out where the AI took over and you might let me know if you think it did a good job or not! Enjoy the show ... Podcast Production by Greg Canty Greg's blog Greg on Twitter  Greg on LinkedIn Email Greg with feedback or suggested guests: greg@fuzion.ie   

Lloyd Metz (Partner, ICV Partners), Doug McCormick (Managing Partner, Oridian Capital Partners), and Sean Mooney (Founder & CEO, BluWave) are joined by James Aylward (Chief Product & Technology Officer, BluWave) and Nathan Plummer (Co-Executive Director, Venture Café Global Institute) to translate AI from concept into execution. The conversation moves beyond buzzwords to where firms are actually applying AI today—from coding and data strategy to real-time decision-making inside portfolio companies. They also address the practical barriers: data readiness, organizational adoption, and the risk of standing still. This is a clear look at what it takes to put AI to work in private equity—hit play.Episode Highlights1:30 - Why AI is shifting from buzzword to practical tool for operators9:45 - ChatGPT as the inflection point that changed AI adoption overnight13:00 - AI moves from “thinking partner” to executing tasks autonomously18:30 - Applied AI in industries like biotech and robotics reshaping outcomes23:10 - Data becomes the primary competitive moat across portfolio companies30:15 - Why most companies struggle: fragmented, unstructured data systems44:00 - Real-world example: automating hiring workflows with AI toolsFor more information on the podcast, visit bestbutneverfinal.buzzsprout.com and embark on your journey to private equity excellence today.Visit us on LinkedIn at https://www.linkedin.com/company/best-but-never-final-podcast/Visit us on Instagram at https://www.instagram.com/bestbutneverfinal/For information on Oridian Capital Partners, go to https://oridiancapital.com/For information on ICV Partners, go to https://www.icvpartners.comFor information on BluWave, go to https://www.bluwave.net

Send us Fan MailFamily Office Club Monthly Live ForumLive Capital Raising Strategy, Investor Feedback & Applied AI ToolsJoin the Family Office Club Monthly Live Forum — a live, interactive working session focused on real-world capital raising strategy, investor positioning, and the practical use of AI tools for founders, fund managers, and serious dealmakers.This is not a passive webinar or slide presentation. Each session is built around live interaction, real-time feedback, and practical implementation.Inside the live forum we cover:✅ Live hot seats and strategic feedback✅ Real-time pitch reviews and investor positioning guidance✅ Applied AI demonstrations for investor research, outreach, due diligence, and deal structuring✅ Platform-building feedback based on how sophisticated investors and family offices actually evaluate opportunities✅ Tactical insights from active capital raisers, investors, and industry operatorsOur investor club offers 30 nationwide events a year, 10,000 registered investors, and 50 proprietary AI tools built specifically for capital raisers, investors, and founders.The Family Office Club hosts investor events across Dallas, Beverly Hills, South Florida, and New York, and we believe meeting investors in person is 16x more effective than pitching virtually.Our proprietary AI tools are trained using insights gathered from thousands of investor conversations, live events, investor mandate interviews, workshops, and over 3 million words of investor transcripts. These tools are designed to help members:• Improve investor targeting• Refine pitch messaging• Structure stronger deals• Conduct due diligence faster• Save hundreds of hours through automation• Build more effective investor pipelinesHow To Prepare (Strongly Recommended)Attendees who get the most value from these sessions typically:• Join live and stay for the full session• Bring a current capital raising or investor positioning question• Review their pitch deck, one-liner, or assumptions beforehand• Participate actively in Q&A and discussionHot seat participation and deeper strategic feedback are prioritized for active members, but public attendees consistently gain valuable insights simply by observing how live investor feedback and strategic decisions are handled in real time.What Members Receive Beyond The Live SessionMembers receive access to:✔ Priority hot seats and deeper live feedback✔ Session recordings and archives✔ 50+ proprietary AI tools for investor targeting, due diligence, pitch refinement, and deal structuring✔ 30 nationwide in-person investor events and summits✔ Investor databases and networking resources✔ The Family Office Club member portal and investor toolkitAdditional workshop topics inside our ecosystem include investor outreach strategies, capital raising systems, due diligence, investor influence, deal structuring, and pitch optimization.LogisticsYou will receive reminder emails from Zoom as the session approaches.Please join from a stable internet connection and plan to attend live for the best experience.We look forward to having you join us. Feel free to text me directly with any questions.For details on upcoming in-person investor club events, visit:

This week Nick talks to Alistair SmallwoodAlistair Smallwood is the Head of Applied AI at Primer AI, where he focuses on building practical artificial intelligence tools for investment workflows. He began his career as a research analyst at Whitman Howard shortly after the Brexit vote, before moving into equity sales roles and later joining UBS as a pan-European small- and mid-cap specialist salesperson. He subsequently transitioned to the buy side with Lynott Partners, a technology-focused hedge fund, where he combined his financial expertise with self-taught coding skills to explore data-driven investing.The discussion centres on how Primer AI is transforming equity research through AI-driven agents that replicate and augment the workflow of human analysts. While AI can commoditize access to information, the true edge in investing lies in workflow, judgment, and behavioural insight—areas where human expertise remains critical. Primer AI is designed not just to retrieve accurate financial data, but to guide analysts through modular research processes, from understanding company fundamentals to building and interpreting financial models. The platform emphasizes auditability, context retention, and continuous learning, enabling users to encode their own analytical frameworks and improve efficiency over time. The conversation also explores broader implications for financial markets, suggesting that AI may compress short-term alpha opportunities while increasing the importance of long-term thinking and differentiated judgment. Alistair Book Choice's Endurance by Alfred LansingNo Spin: My Autobiography by Shane WarneAlistair Music Choice's Dark Side of the Moon by Pink FloydMoney for Nothing by Dire Straits from Brothers in Arms The Thinking Game - Documentary about DeepMind and Demis HassabisThis content is issued by Zeus Capital Limited (“Zeus”) (Incorporated in England & Wales No. 4417845), which is authorised and regulated in the United Kingdom by the Financial Conduct Authority (“FCA”) for designated investment business, (Reg No. 224621) and is a member firm of the London Stock Exchange. This content is for information purposes only and neither the information contained, nor the opinions expressed within, constitute or are to be construed as an offer or a solicitation of an offer to buy or sell the securities or other instruments mentioned in it. Zeus shall not be liable for any direct or indirect damages, including lost profits arising in any way from the information contained in this material. This material is for the use of intended recipients only.

Description: Keith sits down with Ryan Booth — former network automation specialist, Apstra alum, and now principal consultant at Blue Ridge Consulting — to trace the real career arc from infrastructure engineer to applied AI practitioner. They dig into the transferable skills that actually matter (hint: it's not the coding), why curiosity-driven entry points like [...]

Dr. Joshua M. Riedy, Executive Director, Institute of Applied AI at MSUM, is in studio on Afternoons Live with Tyler Axness to tell you all about this Institute and about how MSUM is teaching it's students about AI.See omnystudio.com/listener for privacy information.

Ireland welcomes the announcement of European AI Innovation Month, taking place from Dublin 14 October to Brussels 17 November 2026, a Europe-wide programme of events dedicated to accelerating artificial intelligence innovation and deployment across the European Union. As part of Ireland's Presidency of the Council of the European Union in 2026, Ireland will officially launch the month with the International AI Summit on 14 October 2026 at the RDS Dublin. Harnessing AI, Ireland ready for EU Innovation Month Under the theme 'Harnessing AI to Revolutionise Europe's Competitiveness' the International AI Summit will focus on Applied AI and sectoral value creation, highlighting Europe's shift from research to applied AI that delivers tangible impact across industries and public services. It will focus on building AI capacity through world-class infrastructure, computing power, sustainable energy, connectivity, and talent, while showcasing transformative opportunities ranging from generative to agentic AI, frontier models, and quantum convergence, all delivered responsibly to maintain public trust. Participants will include EU Commissioners and Ministers, C-suite leaders from major international and European companies and globally recognised AI experts. Sector-focused sessions will examine how AI is transforming key areas of the economy and society, supported by an Innovation spotlight exhibition space demonstrating cutting-edge AI innovation. Minister for Enterprise, Tourism and Employment, Peter Burke TD, said, "This AI summit is a unique opportunity to showcase Irish and European leadership in applied AI and demonstrate how innovation can drive competitiveness, create value across our economy and benefit society as a whole. Ireland's vibrant AI ecosystem, world-class talent and strategic infrastructure positions Ireland uniquely to lead these discussions and help shape the future of AI in Europe." Minister of State for Trade Promotion, Artificial Intelligence and Digital Transformation, Niamh Smyth said, "We are now 6 months out from the International AI Summit at the RDS, Ireland is proud to host this flagship event in a venue that has championed innovation for centuries, turning ideas into action. Preparations are fully underway for this key commitment of mine, which will bring together Europe's leading minds in technology, business, and government. By collaborating closely with the European Commission and our industry partners, we are ensuring this AI Summit leaves a lasting impact, establishing Ireland as the go-to hub for the next generation of technology while demonstrating how AI can boost European competitiveness and create tangible value for businesses and citizens." Headline speakers will be announced shortly, with further details on speakers and the full programme to follow. An Expression of Interest will also open in the coming weeks for enterprises interested in participating in the Innovation Spotlight Exhibition. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

Ireland welcomes the announcement of European AI Innovation Month, taking place from Dublin 14 October to Brussels 17 November 2026, a Europe-wide programme of events dedicated to accelerating artificial intelligence innovation and deployment across the European Union. As part of Ireland's Presidency of the Council of the European Union in 2026, Ireland will officially launch the month with the International AI Summit on 14 October 2026 at the RDS Dublin. Under the theme 'Harnessing AI to Revolutionise Europe's Competitiveness' the International AI Summit will focus on Applied AI and sectoral value creation, highlighting Europe's shift from research to applied AI that delivers tangible impact across industries and public services. It will focus on building AI capacity through world-class infrastructure, computing power, sustainable energy, connectivity, and talent, while showcasing transformative opportunities ranging from generative to agentic AI, frontier models, and quantum convergence, all delivered responsibly to maintain public trust. Participants will include EU Commissioners and Ministers, C-suite leaders from major international and European companies and globally recognised AI experts. Sector-focused sessions will examine how AI is transforming key areas of the economy and society, supported by an Innovation spotlight exhibition space demonstrating cutting-edge AI innovation. Minister for Enterprise, Tourism and Employment, Peter Burke TD, said, "This AI summit is a unique opportunity to showcase Irish and European leadership in applied AI and demonstrate how innovation can drive competitiveness, create value across our economy and benefit society as a whole. Ireland's vibrant AI ecosystem, world-class talent and strategic infrastructure positions Ireland uniquely to lead these discussions and help shape the future of AI in Europe." Minister of State for Trade Promotion, Artificial Intelligence and Digital Transformation, Niamh Smyth said, "We are now 6 months out from the International AI Summit at the RDS, Ireland is proud to host this flagship event in a venue that has championed innovation for centuries, turning ideas into action. Preparations are fully underway for this key commitment of mine, which will bring together Europe's leading minds in technology, business, and government. By collaborating closely with the European Commission and our industry partners, we are ensuring this AI Summit leaves a lasting impact, establishing Ireland as the go-to hub for the next generation of technology while demonstrating how AI can boost European competitiveness and create tangible value for businesses and citizens." Headline speakers will be announced shortly, with further details on speakers and the full programme to follow. An Expression of Interest will also open in the coming weeks for enterprises interested in participating in the Innovation Spotlight Exhibition. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

AI should serve us, yet that's not always the approach that experts take. There's been a lot of talk about AI fueling economic displacement, but what about AI that's a partner instead of a replacement for us? Dr. Angela Aristidou joins David Rothkopf to cut through the theoretical explore why real-world deployment of AI can improve workflow and augment human relationships rather than eliminating them.  This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI should serve us, yet that's not always the approach that experts take. There's been a lot of talk about AI fueling economic displacement, but what about AI that's a partner instead of a replacement for us? Dr. Angela Aristidou joins David Rothkopf to cut through the theoretical explore why real-world deployment of AI can improve workflow and augment human relationships rather than eliminating them.  This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us Fan MailYouTube recording here https://youtu.be/caEuNpa5t40This is the Family Office Club Monthly Live Forum, a live, interactive session focused on real-time strategy, capital-raising feedback, and applied AI tools used by serious investors and founders.This is not a presentation-only webinar; each session is designed around:1️⃣ Live hot seats and real-time strategic feedback2️⃣ Applied AI demonstrations used for investor research, pitch refinement, and deal structuring3️⃣ Live pitch and platform-building feedback drawn from how family offices and sophisticated investors actually evaluate opportunitiesThe Family Office Club hosts over 30 investor events per year across major U.S. cities, works with 10,000+ investors, and operates a growing suite of 40+ AI tools built specifically for dealmakers. This live forum reflects how those tools, frameworks, and capital conversations are used in practice, not theory.

Stop letting your brand message fade into the background! Your book is a goldmine of authority, but without a clear brand identity, that value remains untapped. In this dynamic training, Tracy Hazzard reveals how to use AI quickly and simply to transform your author insights into a wealth of engaging brand assets. Learn to position yourself as the go-to expert in your field by creating a consistent, high-impact presence that boosts your discoverability and expands your network. Discover:Professional Brand Repurposing: Extract maximum value from your book's core themes to create a year's worth of brand-aligned content.Strategic Authority Building: Leverage brand identity to establish yourself as an industry leader through consistent messaging.Automated Brand Intelligence: See how AI tools can automate the heavy lift of brand definition, saving you time and ensuring professional clarity. Unlock the full potential of your expertise. Join Tracy Hazzard and learn how to use AI Content Brand Identity to captivate more readers and solidify your place as a leading voice in your genre.https://us02web.zoom.us/meeting/register/l5pR0j1ITdyj6txvelfwGA More About Your Mentor - Tracy Hazzard:Tracy Hazzard, Co-Founder of Podetize, is a leading authority in podcasting and media. With a wealth of experience from over 4,000 interviews featured in top publications like BuzzFeed and Inc. Magazine, Tracy is a sought-after mentor, speaker, and contributing writer. As Director of Applied AI for Podetize, Tracy provides unique insights into the intersection of technology, marketing, and media. With a talent for pinpointing the "bingeable factor"—the crucial element that drives audience engagement, loyalty, and sales—she offers authors a fresh perspective on creating compelling content and brand visibility.Love the show? Subscribe, rate, review, and share! https://superbrandpublishing.com/podcast/

AI is here. Now what? If you're a distributor who's struggling to answer, you're in good company. Distributors as a whole are cautious about buying into broad-appeal solutions. But, they're not Luddites. Instead, they want products that provide industry-focused context and bottom-line value. There's no better ambassador for AI and how to successfully apply the tech to distribution than Ian Heller, co-founder and chief strategy officer of the Distribution Strategy Group, and host of the innovative Applied AI for Distributors 2026 summit.  There's also no better way to toast the 200th episode of Distribution Talk than with this conversation between two longtime friends. Jason caught up with Ian to discuss the future of AI in distribution, the expanding use of agentic AI, and the exciting program of expert knowledge, topics, and implementation strategies scheduled for this year's summit. CONNECT WITH JASON LinkedIn CONNECT WITH IAN Distribution Strategy Group  Applied AI for Distributors 2026 LinkedIn *** For full show notes and services visit: https://www.distributionteam.com Distribution Talk is produced by The Distribution Team, a consulting services firm dedicated to helping wholesale distribution clients remove barriers to profitability, generate wealth, and achieve personal goals.    This episode was edited by The Creative Impostor Studios Special thanks to our sponsors for this episode: Connected Peers, providing virtual communities for wholesale distributors; and INxSQL Distribution Software, an integrated distribution ERP software designed for the wholesale and distribution industry.

Send us Fan MailJoin the Family Office Club Monthly Live Forum - a live, interactive session focused on real-time strategy, capital raising feedback, and applied AI tools used by serious investors and founders.This is not a passive webinar. Each session is designed to be practical, fast-paced, and directly applicable to what you're building right now. WHAT HAPPENS INSIDE EACH SESSION:✅ Live hot seats with real-time strategic feedback✅ Applied AI demonstrations for investor research, pitch refinement, and deal structuring✅ Live pitch reviews based on how family offices and sophisticated investors evaluate opportunitiesThe Family Office Club hosts 30+ investor events per year, works with 10,000+ investors, and has facilitated over $1B+ in transactions.We have also developed 40+ AI tools specifically for dealmakers, and this forum shows how those tools and strategies are used in practice, not theory. HOW TO GET THE MOST VALUE:✅ Join live and stay for the full session✅ Bring a specific question related to capital raising, positioning, or scaling✅ Review your pitch, platform, or deal in advance

What does the rise of AI mean for technical programs? Surprisingly, it's not a new concept to CTE fields. It is embedded in robotics, automation, diagnostics, and data modeling across modern manufacturing facilities today.In this episode of The TechEd Podcast, Matt Kirchner sits down with Dr. Andrew Neuendorf, Associate Dean of Manufacturing, Engineering, Trades, and Transportation at Des Moines Area Community College (DMACC), to explore what applied AI actually means inside CTE programs and why education must move beyond generative AI.With a background in English and the humanities, Andrew offers a rare perspective on how artificial intelligence is perceived differently across academic disciplines. From robotics labs to industrial technician programs, he explains where AI has already been embedded for years, where disruption is coming next, and how community colleges can respond with clarity rather than panic.From design software disruption to AI-assisted troubleshooting and entry-level data modeling skills, this conversation will help technical educators think about applied artificial intelligence in their programs.In this episode:Why robotics and automation programs have been teaching AI longer than they realizeThe hidden risk inside CAD and design-heavy technical pathwaysHow students are using AI to troubleshoot equipment faster than faculty expectWhy the “trades are safe from AI” narrative may be dangerously simplisticWhy competency-based education might be a better model in this AI-driven world3 Big Takeaways from this Episode:1. Applied AI has already been embedded in CTE for years. Robotics vision systems, PLC-driven automation, driver-assist sensors, and predictive maintenance models have quietly trained students in machine intelligence long before generative AI dominated headlines. The difference today is scale and accessibility, not the existence of AI itself.2. The future disruption isn't blue collar versus white collar — it's discipline by discipline. Andrew argues that assuming the trades are immune to AI disruption is a strategic mistake, particularly in design-heavy roles like CAD and digital modeling. Education must evaluate AI's impact at the skill level rather than rely on outdated workforce categories.3. Students may lead the applied AI shift inside technical programs. From uploading robot manuals into NotebookLM to accelerating troubleshooting in automation labs, students are modeling AI-assisted problem solving in real time. Institutions that recognize this and structure learning around it will move faster than those focused solely on policing its use.Resources in this Episode:Connect with Andrew on LinkedInOther resources:"Something Big is Happening" by Matt SchumerJensen Huang (NVIDIA) CES KeynoteSix Days in China: The Speed, Scale and Strategy Outpacing U.S. Innovation - Todd Wanek, CEO of Ashley FurnitureTry Google's NotWe want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

Ahead of the LegalWeek Conference taking place in New York City March 9-12, Legal Speak Producer Charles Garnar discusses the current state of artificial intelligence in the legal market with Danielle Benecke, Global Head of Baker McKenzie's Applied AI practice.   Hosts: Cedra Mayfield & Patrick Smith Special Guest Reporter: Charles Garnar Guest:  Danielle Benecke Producer: Charles Garnar

Plus: Kraken becomes the first crypto firm to win access to the Federal Reserve's core payments system. And OpenAI CEO Sam Altman defended his Pentagon deal during an all-hands meeting. Danny Lewis hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Generative AI is moving beyond the lab and into the production environment. But for many enterprises, "pilot fatigue" is becoming a major bottleneck to real ROI. In this episode of AiR (AI in Retail), Top AI Leader, Barry McGeough (Group VP, AmeriCo) and Top Retail Expert, Michael Zakkour (Top Expert) deliver a masterclass on Applied Innovation. Through a real-world case study, they reveal how brands are using generative design to collapse the distance between a creative spark and a finished product. Key Takeaways: - The Text-to-Design Workflow: How designers are using text prompts to bypass traditional CAD bottlenecks, moving from 2D patterns to 3D assets and video in record time. - Crossing the Uncanny Valley: Why high-fidelity realism is the prerequisite for consumer trust and digital transactions. - Applied Innovation vs. "Big I" Innovation: The framework for ensuring AI projects solve core business problems rather than staying stuck in the lab. - The AI Super-Cycle: Why AI is a foundational layer for the next decade of retail, not a temporary financial bubble.

We chart how AI leapt from chat to code, why product is now the leverage point, and how startups can market to algorithms without losing trust. David Yakobovitch shares hard-won views on moats, data, defense tech, and the immigrant energy powering American dynamism.• leaders and market share across Google, OpenAI, Anthropic• vibe coding benefits, code quality risks, review loops• prompt libraries, agent swarms, PRD automation• weekly shipping pace and the SaaS squeeze• marketing to algorithms, buyer agents, bot traffic control• pilot to production gap, rise of forward-deployed engineers• moats beyond models via domain, workflow, and proprietary data• China's progress, open source, and on-device AI bets• defense tech, swarms, and physical AI opportunities• endurance mindset, yoga discipline, and founder stamina• personal workflows across Gemini, Claude, and OpenAI• investing across seed and growth with outcome focusThe model wars aren't theoretical anymore—they're shaping how software gets built, shipped, and sold. We sit down with David Yakobovitch, GP at Data Power Capital and former global product lead at Google, to map where AI is actually working in 2026: vibe coding that shrinks teams, agent swarms that harden quality, and product-led moats that outlast model churn. David pulls back the curtain on how Claude, OpenAI, and Google now compete neck and neck on code and content, why prompt engineering as a job vanished while prompts became more valuable, and how forward-deployed engineers bridge the stubborn pilot-to-production gap that has haunted data projects for a decade.We explore go-to-market in a world where buyer agents screen your pitch before a human blinks. That means structuring materials for machines, tuning sites for humans and crawlers, and building demos that agents can evaluate safely. We also go into what happens as models commoditize: the moat shifts to domain depth, proprietary offline data, secure connectors, and measurable workflow outcomes. From small language models running on CPUs in air‑gapped containers to Apple's on-device bet, the edge is back—especially for Europe's sovereignty demands and public sector buyers.Then we widen the lens. Defense and “physical AI” blend hardware and autonomy: swarms, hypersonics, and resilient edge compute that must perform in the real world. David shares why he's backing both the silicon and the software, and how American dynamism—powered by immigrants and impatient builders—remains a durable advantage. Along the way, we trade notes on multi-model workflows, open source momentum, China's narrowed gap, and the endurance mindset that carries teams through the disappointment dip after the first shiny demo.David Yakoboitch: https://www.linkedin.com/in/davidyakobovitch/David Yakobovitch is a General Partner and Managing Director of DataPower Capital, a New York City-based venture capital firm investing across Applied AI, Inference Infrastructure, and DeepTech.  With a portfolio of over 36 companies, David is an investor in the most defining frontier technology firms of our era, including OpenAI, Anthropic, xAI, Neuralink, DataBricks, Groq, Cruesoe, Anduril and SpaceX. David is a leading voice as the host of HumAIn, a podcast focused on Applied and Responsible AI.  Previously, David served as a Global Product Lead aWebsite: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

In the final episode of AI360, Head of Applied AI at Deloitte, Jim Rowan, and Rohan Gupta reflect on recent breakthroughs in AI and what's next, including how companies can ensure success with AI.

It's no secret that AI will revolutionize the world. Elon Musk thinks computers will overtake humanity as the collective intelligence of AI exceeds that of the collective intelligence of humanity. In the short and immediate term, the truth is probably more muted and will take longer than many expect. Thus far, most companies that have tried to integrate Applied AI technology into their businesses have not been successful and have replaced relatively few employees.  Ben Tasker, a recognized leader in AI education and workforce transformation, is helping thousands of employees upskill and reskill in the international workforce to become data and AI fluent.

Anthropic's Tobias Harrison Noonan shares the enterprise AI playbook: why coding leads to broader AI adoption, practical tips for getting started, and why you shouldn't wait for perfection.Topics Include:Tobias from Anthropic's Applied AI team discusses enterprise AI adoption trends and insights.Anthropic founded four years ago balancing AI safety mission with world's most intelligent models.Remarkable velocity: Claude 3.7 and Claude Code both shipped just in 2025 alone.Three-layer partnership: foundation models, enterprise capabilities, and end-user platforms like Claude Code.Anthropic leads in agentic coding for eighteen months, now number one enterprise AI market share.Claude Opus 4.5 launched last week, again tops software engineering benchmark for complex tasks.Claude Code enables thirty-hour autonomous coding sessions, ships features five times faster than before.Next frontier expands beyond coding into data-heavy knowledge work like financial and legal analysis.AI adoption maturity curve: employee workflows, internal processes, core products, then AI-native products.Thomson Reuters started with Claude Code for development team doing code modernization and refactoring.They expanded to Claude.ai for sales, marketing, and finance teams after seeing tangible ROI.Built Claude into core products including co-counsel legal platform and fraud prevention systems strategically.Today Thomson Reuters has eight different product lines powered by Claude across their portfolio.AWS partnership offers safe, secure, scalable deployment from POC to production in existing environments.Don't wait for perfection: AI today is dumbest it'll ever be, start prototyping now.Participants:Tobias Harrison-Noonan: Member of Technical Staff, AnthropicSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Read the full transcript here. Are stock prices set by cash flows or crowd vibes? Why do bubbles last if “smart money” can short them? What should retail traders learn from GameStop and zero-commission options? When does momentum make sense - and when does it burn you? Why don't obvious mispricings get fixed - what actually stops arbitrage? Will AI help us think clearer, or supercharge manipulation and personalized pricing? Where should regulators draw the line on gamified trading and price discrimination? Do tariffs feel good because they keep others out—even if we pay more? What does the "winner's curse" mean for auctions, IPOs, and everyday deals? How much of what we want is copied from other people, and why does that matter for markets? Alex Imas is the Roger L. and Rachel M. Goetz Professor of Behavioral Science, Economics and Applied AI and a Vasilou Faculty Scholar at the University of Chicago Booth School of Business, where he has taught Negotiations and Behavioral Economics. Alex studies behavioral economics with a focus on cognition and mental representation in dynamic decision-making. His research explores topics related to choice under uncertainty, applied AI, discrimination, and how people learn from information. Professor Imas' work utilizes a variety of methods, including lab experiments, field experiments, analysis of observational data and theoretical modeling. His research has been published in the American Economic Review, Journal of Finance, Proceedings of the National Academy of Sciences, Quarterly Journal of Economics, and Management Science, among others. Links: The Winner's Curse Alex's personal website Alex's Twitter Staff Spencer Greenberg — Host + Director Ryan Kessler — Producer + Technical Lead WeAmplify — Transcriptionists Igor Scaldini — Marketing Consultant Music Broke for Free Josh Woodward Lee Rosevere Quiet Music for Tiny Robots wowamusic zapsplat.com Affiliates Clearer Thinking GuidedTrack Mind Ease Positly UpLift [Read more]

With artificial intelligence stepping off the laptop and out onto job sites, factory floors, and flight decks, are we preparing students for the AI that sees, senses, and acts in the real world, not just the kind that chats back?Matt Kirchner sits down with Lieutenant General Brian Cavanaugh, USMC (Ret.), CEO of VigilanteX. After decades commanding Marines and integrating emerging tech into national defense, Cavanaugh now leads a company building applied AI platforms at the edge: solar- and Starlink-powered trailers with cameras and compute that monitor sites 24/7 and turn video into real-time safety, security and efficiency intelligence.Together, Matt and Brian unpack what “applied AI” really means across the edge-to-cloud continuum. They discuss AI agents running on the edge, natural language search over video, and systems that close the loop from sensor to decision in seconds. They also explore why simply teaching students to prompt chatbots isn't enough, and how K-12, CTE, and higher education can catch up to a world where AI is baked into every system, every site, and every mission.Listen to learn:How VigilanteX combines solar power, Starlink, cameras, and edge compute into their tech.The difference between AI at the edge and AI in the cloud, and why latency, bandwidth, and resilience matter for safety-critical environments.How AI agents work at the edge, and why they can work faster and more efficiently than humans (freeing up humans to do more interesting work).Why Cavanaugh believes every student should understand how data moves from sensors to the edge, to the cloud, and back into real-time control.What China's national push for AI education signals about global competition and how U.S. educators should respond with applied AI in the classroom.➡️ Watch the Full Episode on YouTube3 Big Takeaways from this Episode:1. AI at the edge is becoming a digital teammate. VigilanteX's platforms use cameras, connectivity, and on-site compute to watch for fall risks, PPE issues, intrusions, and abnormal conditions across construction, manufacturing, logistics, and energy sites. The system flags events in real time, routes the right video to supervisors, and builds a data trail leaders can use to change procedures before accidents happen.2. Edge-to-cloud literacy is a new baseline skill for technical careers. Cavanaugh and Kirchner break down how raw sensor and video data is processed locally, filtered, and then pushed to the cloud for storage, analytics, and dashboards. Understanding where computation lives, what data moves, and how AI agents plug into that pipeline prepares students for roles in automation, OT/IT, robotics, and cyber-physical systems in any industry.3. We need to teach applied AI, not just chatbots. While large language models are powerful, the episode shows how AI is part of the edge-to-cloud continuum. Giving students hands-on experience with autonomous systems, computer vision, and industrial data flows helps them see AI as something they can design, deploy, and govern rather than a black box that only lives in a browser.Find links & more resources on the episode page! We want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

When you ask someone to recall something from deep in their memory, watch their face — they'll probably do something that actually helps them remember. You might do it too without realizing it. Listen as I reveal what it is and why it works. https://www.psychologytoday.com/us/blog/ulterior-motives/201110/why-do-you-close-your-eyes-remember Have you heard of the winner's curse or the sunk cost theory? These are strange but predictable ways our brains can trick us when we take risks — especially with money. My guest, Alex O. Imas, Professor of Behavioral Science, Economics, and Applied AI at the University of Chicago, has studied these “behavioral anomalies” with Nobel Prize winner Richard Thaler. Together they co-authored The Winner's Curse: Behavioral Economics Anomalies, Then and Now. (https://amzn.to/48gycBj) . Listen to how these things work, because understanding these anomalies can help keep you from falling victim to them. We've all had to work in groups, whether it's a team we are assigned to at work, or a neighborhood committee or parents' group. Sometimes they run beautifully. Often… they don't. Why do so many groups struggle, and how can we make them more effective? Colin T. Fisher, Associate Professor of Organizations and Innovation at University College London, joins me to share insights that can help any team excel. Colin is author of the book The Collective Edge: Unlocking the Secret Power of Groups.(https://amzn.to/48WcuCT). Whether you cook or not, at some point you find yourself in the kitchen putting food away and you run into the problem of – sometimes the plastic wrap clings to the container and sometimes it does not. Listen to hear the secret of how to get it to stick every time. https://lifehacker.com/run-a-wet-finger-across-surfaces-to-make-plastic-wrap-s-1728185077 PLEASE SUPPORT OUR SPONSORS!!! INDEED: Get a $75 sponsored job credit to get your jobs more visibility at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://Indeed.com/SOMETHING⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ right now! DELL: Your new Dell PC with Intel Core Ultra helps you handle a lot when your holiday to-dos get to be…a lot. Upgrade today by visiting⁠⁠⁠⁠⁠⁠ https://Dell.com/Deals⁠⁠⁠⁠⁠⁠ QUINCE: Layer up this fall with pieces that feel as good as they look! Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://Quince.com/sysk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for free shipping on your order and 365 day returns! ON POINT: We love the On Point podcast! Listen wherever you get your podcasts! ⁠https://www.wbur.org/radio/programs/onpoint⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices