Podcasts about IBM

Phil Gilbert: Irresistible Change Phil Gilbert is best known for leading IBM’s 21st-century transformation as their General Manager of Design. The transformation became the subject of a Harvard Business School case study, the documentary film The Loop, and feature articles in the New York Times and Fortune Magazine. He is the author of Irresistible Change: A Blueprint for Earning Buy-In and Breakout Success (Amazon, Bookshop)*. We've all been through mandated change initiatives more times than we can count. But what if change wasn't a mandate, but an offer – or even an invitation? In this conversation, Phil and I explore how to make change irresistible. Key Points Change should be regarded as a high-value-add product. Don't mandate change. Offer change. Your goal is sustained cultural adoption, not improving immediate competency. Start small, but cover all your bases on a reduced scale. Make a great cupcake instead of a mediocre wedding cake. People buy brands, not products. Branding change allows you to define the values and message that goes with it. Resources Mentioned Irresistible Change: A Blueprint for Earning Buy-In and Breakout Success by Phil Gilbert (Amazon, Bookshop)* Interview Notes Download my interview notes in PDF format (free membership required). Related Episodes Engaging People Through Change, with Cassandra Worthy (episode 571) Where Senior Leaders Can Better Support Middle Managers, with Emily Field (episode 650) How to Lead Organizational Change, with Michael Bungay Stanier (episode 740) Discover More Activate your free membership for full access to the entire library of interviews since 2011, searchable by topic. To accelerate your learning, uncover more inside Coaching for Leaders Plus.

What if the climate crisis didn't have to be framed as a doomsday story but instead as a catalyst for innovation, collaboration, and global renewal?In this powerful episode of A Voice and Beyond, host Dr Marisa Lee Naismith sits down with Russ Walsh, cybersecurity executive, systems thinker, and founder of The SeaNet, a bold initiative designed to address one of the greatest challenges facing humanity: rising sea levels.After decades working with global technology leaders including IBM, Google, Apple, GE, and Facebook, Russ began asking a deeper question — what if we could apply systems-level thinking to climate change the same way we do to cybersecurity and infrastructure?In this conversation, Russ unpacks the science behind sea-level rise, why fear-based climate narratives leave people frozen, and how vision, leadership, and collective action can turn crisis into opportunity. This episode invites listeners to move beyond overwhelm and into empowered participation in shaping the future of our planet.If you've ever felt anxious, helpless, or disconnected when it comes to climate change, this episode offers clarity, hope, and a radically new way forward.Find Russ Here:Website: https://russwalsh.com/LinkedIn: https://www.linkedin.com/in/russwalsh/Books:The SeaNet Vision: Stop Rising Seas & Turn Melting Ice into Blue Gold https://russwalsh.com/the-book/Eternity: Where will you spend it? - https://a.co/d/4BvyB8mFind Marisa online: Website: https://drmarisaleenaismith.com/ LinkedIn: https://www.linkedin.com/in/drmarisaleenaismith/ Instagram: https://www.instagram.com/drmarisaleenaismith/ Facebook: https://www.facebook.com/marisa.lee.12 YouTube: https://www.youtube.com/@avoiceandbeyond3519/videos Resources: MLN Coaching Program: https://drmarisaleenaismith.com/mentoring/ Schedule a Free Clarity Call: https://calendly.com/info-56015/discovery Gratitude Journal: https://drmarisaleenaismith.com/product/in-gratitude-my-daily-self-journal/ Download your eBook: Thriving in a Creative Industry: https://drmarisaleenaismith.com/product/ebook-thriving-in-a-creative-industry-dr-marisa-lee-naismith/ Like this episode? Please leave a review here - even ...

Dive into the high-stakes world of quantum computing with this episode of the Qubit Value podcast, where the "future" is happening right now in 2026. Join the hosts as they navigate the shift from theoretical curiosity to "operational urgency," revealing how global quantum revenues have skyrocketed toward a projected $2 billion. From the immediate necessity of Post-Quantum Cryptography (PQC) to protect against "harvest now, decrypt later" threats to the rise of hybrid quantum-centric supercomputing in logistics and finance, this episode breaks down the complex economics and cutting-edge hardware - like IBM's Kookaburra and QuEra's error-corrected qubits - that are reshaping the global economy. Whether you're interested in the fierce war for "translator" talent or the strategic land grab for quantum intellectual property, this episode offers a witty and essential roadmap for anyone looking to stay ahead of the Q-Day countdown. Want to hear more? Send a message to Qubit Value

In un'epoca in cui Internet è diventato il sistema nervoso della nostra società, sempre più servizi dipendono da un numero ristretto di provider cloud come Amazon Web Services, Microsoft Azure e Google Cloud. Negli ultimi mesi abbiamo assistito a una serie di disservizi globali che hanno colpito milioni di utenti: dal blackout di AWS che ha reso irraggiungibili innumerevoli siti per 15 ore, ai problemi di Cloudflare, Azure e altri giganti del cloud che hanno paralizzato servizi come ChatGPT, Zoom e Shopify. Questi episodi alimentano la percezione che Internet sia diventato più fragile. Ma è davvero così? O è solo il riflesso di come l'infrastruttura di rete è cambiata negli ultimi decenni? In questa puntata analizziamo come il passaggio da server distribuiti al cloud centralizzato ha trasformato la resilienza di Internet.Nella sezione delle notizie parliamo di NanoIC, il nuovo impianto europeo per la produzione di semiconduttori, del progetto europeo REPper e infine di come la NASA ha autorizzato l'utilizzo di smartphone personali a bordo delle prossime missioni spaziali.--Indice--00:00 - Introduzione01:08 - La strategia UE per la sovranità tecnologica (Europa.eu, Luca Martinelli)02:27 - Il progetto REPper per le riparazioni (AltroConsumo.it, Davide Fasoli)03:29 - NASA autorizza gli smartphone nello spazio (Wired.it, Matteo Gallo)04:53 - Internet è diventato più fragile? (Luca Martinelli)18:06 - Conclusione--Testo--Leggi la trascrizione: https://www.dentrolatecnologia.it/S8E7#testo--Contatti--• www.dentrolatecnologia.it• Instagram (@dentrolatecnologia)• Telegram (@dentrolatecnologia)• YouTube (@dentrolatecnologia)• redazione@dentrolatecnologia.it--Brani--• Ecstasy by Rabbit Theft• Moments by Lost Identities x Robbie Rosen

IBM has made a comeback in the past six years under the leadership of CEO Arvind Krishna. That's thanks to success in its hybrid cloud business and consulting services. But even as the company is reinventing itself again for the AI era, Krishna is already betting that quantum computing is the next big thing. Will Big Blue succeed against rivals like Microsoft and Google who are racing to make their own quantum breakthroughs? And how is the company learning from its past mistakes with Watson AI? Krishna joins the WSJ's Christopher Mims and Tim Higgins on the Bold Names podcast. To watch the video version of this episode of Bold Names, visit our WSJ Podcasts YouTube channel or the video page of WSJ.com. Check Out Past Episodes: This CEO Says Global Trade Is Broken. What Comes Next? What This Former USAID Head Had to Say About Elon Musk and DOGE ‘Businesses Don't Like Uncertainty': How Cisco Is Navigating AI and Trump 2.0 Why This Tesla Pioneer Says the Cheap EV Market 'Sucks' Let us know what you think of the show. Email us at BoldNames@wsj.com Sign up for the WSJ's free Technology newsletter. Read Christopher Mims's Keywords column. Read Tim Higgins's column.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Christopher des Fontaines, Co-CEO & Co-founder of Dfns, sat down with me for an interview at the Halborn Access 2026 Summit at the NYSE. We discussed how Dfns is helping institutions such as IBM to build digital asset and crypto infrastructure.Brought to you by

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts What do people really use AI for? This week on Mixture of Experts, we unpack Microsoft's Copilot usage report revealing AI adoption patterns. Host Tim Hwang is joined by IBM Fellow Kush Varshney, Lauren McHugh Olende and Volkmar Uhlig to discuss enterprise AI costs, the Ralph Wiggum prompting strategy for coding agents, and whether giving simple instructions beats micromanaging. Then, we preview the India AI Impact Summit. Finally, AI companies showed up in Superbowl Ads this weekend. Are we witnessing mainstream adoption or just another bubble? All that and more on this week's Mixture of Experts. 00:00 – Introduction 1:07 – Copilot usage reports 10:00 – Ralph Wiggum prompting strategy 20:00 – India AI Impact Summit 28:05– AI ads at the Superbowl The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120

Recorded live at the NRF Big Show in the Narvar podcast studio, Michael LeBlanc sits down with Rachel J. Calhoun, Global Leader, Retail, Consumer Goods & Travel at Kyndryl, for a fast-paced and insight-rich conversation on the future of retail technology, AI integration, and enterprise transformation.Rachel shares Kyndryl's evolution since spinning off from IBM, moving beyond managed infrastructure into advisory, consulting, AI integration, and mission-critical systems modernization. With over 80,000 employees globally and deep roots in retail, airlines, and banking, Kyndryl is helping retailers close what Rachel calls the “adaptation gap” — the widening divide between consumer expectations and retailers' ability to integrate emerging technologies into legacy systems.A central theme of the episode is the shift from project-based IT transformation to an always-on, agile operating model. Rachel explains that retailers can no longer treat digital modernization as a three-year refresh cycle. Instead, AI, data integration, and real-time systems must evolve continuously to drive customer experience, dynamic pricing, retail media growth, inventory optimization, and supply chain resilience.The conversation dives deep into AI's real-world impact. While some economists question AI-driven productivity gains, Rachel points to measurable improvements: reduced stockouts, improved inventory visibility, faster commerce re-platforming, and agentic AI use cases moving from pilot to production. She emphasizes that the real unlock isn't just technology — it's organizational change management. Retailers must integrate people, process, and platform simultaneously to see ROI.Michael and Rachel also discuss RFID adoption, visual AI in grocery and loss prevention, 5G infrastructure constraints across store fleets, and the growing board-level urgency around AI investment prioritization. Rachel outlines Kyndryl's “show versus tell” consulting model, where forward-deployed engineers demonstrate live code modernization and AI activation in real time, shifting commercial models toward shared-value, outcome-based engagements.The episode concludes with Rachel's bold outlook on AI in retail. On a scale of 1–10, she ranks her optimism at a 9, citing firsthand evidence of agentic commerce, conversational commerce, and real-time system integration driving tangible business outcomes.For Canadian retailers navigating market disruption, store fleet transitions, and accelerating digital expectations, this episode offers both strategic clarity and operational guidance. Michael LeBlanc is the president and founder of M.E. LeBlanc & Company Inc, a senior retail advisor, keynote speaker and now, media entrepreneur. He has been on the front lines of retail industry change for his entire career. Michael has delivered keynotes, hosted fire-side discussions and participated worldwide in thought leadership panels, most recently on the main stage in Toronto at Retail Council of Canada's Retail Marketing conference with leaders from Walmart & Google. He brings 25+ years of brand/retail/marketing & eCommerce leadership experience with Levi's, Black & Decker, Hudson's Bay, CanWest Media, Pandora Jewellery, The Shopping Channel and Retail Council of Canada to his advisory, speaking and media practice.Michael produces and hosts a network of leading retail trade podcasts, including the award-winning No.1 independent retail industry podcast in America, Remarkable Retail with his partner, Dallas-based best-selling author Steve Dennis; Canada's top retail industry podcast The Voice of Retail and Canada's top food industry and one of the top Canadian-produced management independent podcasts in the country, The Food Professor with Dr. Sylvain Charlebois from Dalhousie University in Halifax.Rethink Retail has recognized Michael as one of the top global retail experts for the fifth year in a row, the National Retail Federation has designated Michael as on their Top Retail Voices for 2025, Thinkers 360 has named him on of the Top 50 global thought leaders in retail, RTIH has named him a top 100 global though leader in retail technology and Coresight Research has named Michael a Retail AI Influencer. If you are a BBQ fan, you can tune into Michael's cooking show, Last Request BBQ, on YouTube, Instagram, X and yes, TikTok.Michael is available for keynote presentations helping retailers, brands and retail industry insiders explaining the current state and future of the retail industry in North America and around the world.

OpenAI beschuldigt de Chinese AI-ontwikkelaar DeepSeek ervan op oneerlijke wijze technologie van Amerikaanse AI-bedrijven te gebruiken. Volgens de maker van ChatGPT zou DeepSeek systematisch gebruikmaken van antwoorden van Amerikaanse chatbots om het eigen model te verbeteren. Dat heeft de ChatGPT-maker aangekaart bij het Amerikaanse Huis van Afgevaardigden. Volgens OpenAI draait het om een techniek die bekendstaat als ‘distillation’. Daarbij wordt een krachtig, groot taalmodel gebruikt om een kleiner model te trainen. Dat gebeurt door grote hoeveelheden gegenereerde antwoorden als trainingsdata in te zetten. Die methode is in de AI-wereld niet nieuw, maar OpenAI stelt dat DeepSeek zonder toestemming output van Amerikaanse modellen heeft gebruikt. Het bedrijf zegt accounts te hebben geïdentificeerd die gelinkt zijn aan DeepSeek-medewerkers, waarmee deze methode zou zijn toegepast. OpenAI waarschuwt dat de technieken steeds geavanceerder en moeilijker te detecteren worden. Volgens het bedrijf raakt dit niet alleen henzelf, maar ondermijnt het het concurrentievermogen van de hele Amerikaanse AI-sector. DeepSeek zorgde vorig jaar nog voor opschudding in de AI-markt. Het bedrijf presenteerde een relatief goedkoop, maar opvallend krachtig model dat volgens kenners dicht in de buurt kwam van de prestaties van Amerikaanse concurrenten. De snelle kwaliteitsverbetering van Chinese modellen voedt al langer de discussie over technologische concurrentie tussen de VS en China. Verder in deze Tech Update met Stijn Goossens: De Europese Commissie onderzoekt of Google de prijzen van online advertenties kunstmatig hoog houdt, wat in strijd zou zijn met de EU-concurrentieregels. Als dat wordt bewezen, kan de boete oplopen tot 10% van de wereldwijde jaaromzet, terwijl het onderzoek nog in een vroege fase zit en Google stelt dat prijzen via realtime veilingen tot stand komen. Terwijl veel bedrijven instapbanen schrappen door AI, wil IBM juist drie keer meer jonge medewerkers aannemen voor werk dat AI minder goed kan uitvoeren, zoals mens- en klantgericht werk. Tegelijk waarschuwde Mustafa Suleyman van Microsoft dat veel kantoorbanen binnen anderhalf jaar geautomatiseerd kunnen worden. Zometeen in De Schaal van Hebben: Sony WF-1000XM6 See omnystudio.com/listener for privacy information.

Google-moeder Alphabet verraste deze week de markt met een honderdjarige obligatie in Britse ponden. Beleggers waren erg enthousiast: de vraag was maar liefst tien keer zo groot als het aanbod. Dat is bijzonder. Waarom zou je dit bedrijf voor honderd jaar geld geven? Stel dat al die prachtige groeiverwachtingen uitkomen, dan profiteer je niet met deze lening. En als het misgaat, dan wil je geen honderd jaar wachten tot je je geld weer terugkrijgt. Zo heb je wel de downside, maar niet de upside. Sommige critici wezen op de dramatische koersontwikkeling van de honderdjarige leningen van Oostenrijk en Argentinië. De Oostenrijkse is gedaald van 140% naar nu 30%. Maar die vergelijking gaat volledig mank. De koers ervan ging zo hard omlaag simpelweg omdat de marktrente in Europa is gestegen. En met zo’n lange looptijd zijn de koersuitslagen groot. Met de kredietkwaliteit van Oostenrijk is niets mis. En als je geld aan Argentinië leent, weet je dat je een hoog risico loopt. Het land is in de afgelopen honderd jaar al zes keer failliet gegaan. Don’t cry for me Argentina is het lijflied van deze beleggers. De Google-uitgifte kun je beter vergelijken met andere honderdjarige bedrijfsleningen. Die hebben niet altijd goed uitgepakt. Voorbeelden zijn die van IBM (1996) en Motorola en warenhuis JC Penney, (beide 1997). JC Penney ging in 2020 failliet en kon de lening dus niet afbetalen. Die van de toenmalige sterbedrijven IBM en Motorola bestaan nog steeds. Maar de bedrijven kwamen wel in het bakje vergane glorie. Nu heeft Google nog een prima kredietkwaliteit. Het bedrijf kan nog $180 mrd aan schuld uitgeven voordat de huidige credit rating in gevaar komt. En die credit rating is hoger dan die van een land als Frankrijk. Al is dat natuurlijk wel een heel makkelijke vergelijking. Google is overigens niet de enige die geld ophaalt uit de markt. Tien jaar geleden had big tech gezamenlijk nog $320 mrd netto aan cash op de balans staan. Dat is nu opgebrand. Logisch, de grote vier technologiebedrijven investeren in 2026 gezamenlijk een ‘bescheiden’ $660 mrd in AI, ongeveer 2% van de totale Amerikaanse economie. Dat is goed voor de economie, maar het betekent ook dat big tech enorme hoeveelheden geld uit de markt zuigt. En dat op een moment dat de Amerikaanse overheid dat ook doet. En als iedereen geld vraagt, gaat de prijs van geld, de rente, omhoog. Als u toch de verleiding niet kunt weerstaan om in deze Google-lening te beleggen, lees dan nog even de recente uitspraken van oprichter Larry Page erop na. Een daarvan is: ‘Ik ga liever failliet dan deze AI-race te missen.’ Wil je aan iemand met zo’n risicohouding je geld voor honderd jaar uitlenen? Over Corné van Zeijl Corné van Zeijl is analist en strateeg bij Cardano en belegt ook privé. Reageer via c.zeijl@cardano.com. Deze column kun je ook iedere donderdag lezen in het FD.See omnystudio.com/listener for privacy information.

In dieser „Mainframe - What the Heck“ Live-Folge #92 aus Berlin sprechen Tobias Leicher (IBM), Heidi Schmidt (PKS Software GmbH) mit Patrik Maeyer (GDV – Gesamtverband der Deutschen Versicherungswirtschaft e. V.) über das PKS-Event „Train the Boss“ und die wichtigsten Learnings aus anderthalb Tagen Austausch in der Mainframe-/Enterprise-Community. Im Fokus stehen weniger Technologien, sondern vor allem Kommunikation, Haltung und der Umgang mit Veränderung.Ein Highlight ist ein Vortrag des Zimmermanns, Sebastian Schmäh von Holzbau Schmäh, der zeigt, was Stolz aufs Handwerk, Demut vor dem Bestand und Ausbildung mit Verantwortung bewirken können – und was die IT daraus lernen kann: Bestände respektieren, gezielt modernisieren statt „alles neu“, und Menschen stärker befähigen.Außerdem geht es um digitale Souveränität in der Versicherungsbranche: Warum das Thema durch geopolitische Rahmenbedingungen auf Entscheider-Ebene angekommen ist, wie Unternehmen Risiken sinnvoll verteilen können und welche Rolle die EU-Digital-Wallet / digitale Identität spielt. Als roter Faden zieht sich das Thema Risikokompetenz durch: Risiken lassen sich nicht komplett vermeiden, aber professionell managen. Am Ende steht ein positives Fazit: Mit Zuversicht, Austausch über die eigene Komfortzone hinaus und einem klaren Blick auf den Nutzen für Bürger und Kunden kann Transformation sogar Freude machen.Alle Infos zu unserem Podcast findet ihr hier: https://www.pks.de/pks-live/podcast-pks

Is a liberal arts degree actually the secret weapon in the age of AI?On this episode of An Educated Guest, Todd Zipper sits down with Dr. David Watts, the Director of the Davis Institute for Artificial Intelligence at Colby College. David recently made headlines by leaving a top executive role at IBM to lead this initiative at a small liberal arts college.They discuss why the future of the workforce demands more than just technical skills and why "interdisciplinary" thinking is the new currency. David opens up about the challenge of "cognitive offboarding"—the risk that students might outsource their critical thinking to algorithms—and how higher education must pivot to prevent it.In this episode, we cover:Why "entry-level" jobs are disappearing (or at least, changing forever).How to teach AI ethics without it feeling like a "compliance checkbox."The surprising intersection of AI, philosophy, and the arts.How faculty are moving from grading "outputs" to grading "process."To learn more about the Davis Institute, visit the Colby College website.

Today, on Notable Leaders' Radio, I speak with you as I launch the new "Still Becoming" series. I highlight how the journey of growth and self-discovery continues long after success is achieved, inviting you to explore the moments of untapped courage, unexpected opportunities, and personal evolution that unfold beyond traditional milestones. In today's episode, we discuss: Explore life beyond achievement. Reflect on the moment when hitting goals and earning recognition stopped answering everything, and consider whether it's time to redesign what success looks like for you now. Listen for your quiet evolution. Notice the subtle inner shifts, new perspectives, expanded freedom, unexpected gentleness with yourself, that change how you see your work, your impact, and what's truly possible. Let the unexpected become a doorway. Revisit the chapters you never planned, a random elevator conversation, a surprise opportunity, a path you "stumbled into", that you now wouldn't give back for anything. Tap your untapped courage. Acknowledge the deeper reservoir of bravery it takes to step away from predictability, trust your inner knowing, and say yes when your path is no longer obvious or linear. Choose meaning over momentum. Ask where you're sprinting on autopilot and where you're ready to consciously trade speed for impact, alignment, and the kind of contribution that actually matters to you. Define what "more" means for you now. Let go of one-size-fits-all ambitions and get curious about your current version of "more" in this season—more joy, more presence, more service, more creativity—and honor that as valid and enough. RESOURCES: Belinda's Bio: Belinda is a sought-after Leadership Advisor, Coach, Consultant and Keynote speaker and a leading authority in guiding global executives, professionals and small business owners to become today's highly respected leaders. As the Founder of BelindaPruyne.com, Belinda works with such organizations as IBM, Booz Allen Hamilton, BBDO, The BAM Connection, Hilton, Leidos, Yale School of Medicine, Landis, and the Discovery Channel. Most recently, she redesigned two global internal advertising agencies for Cella, a leader in creative staffing and consulting. She is a founding C-suite and executive management coach for Chief, the fastest-growing executive women's network. Since 2020, Belinda has delivered more than 72 interviews with top-level executives and business leaders who share their inner journey to success; letting you know the truth of what it took to achieve their success in her Notable Leaders Radio podcast. She gained a wealth of expertise in the client services industry as Executive Vice President, Global Director of Creative Management at Grey Advertising, managing 500 people around the globe. With over 20+ years of leadership development experience, she brings industry-wide recognition to the executives and companies she works with. Whether a startup, turnaround, acquisition, or global corporation, executives and companies continue to turn to Pruyne for strategic and impactful solutions in a rapidly shifting economy and marketplace. Website: Belindapruyne.com Email Address: hello@belindapruyne.com LinkedIn: https://www.linkedin.com/in/belindapruyne  Facebook: https://www.facebook.com/NotableLeadersNetwork.BelindaPruyne/  Twitter: https://twitter.com/belindapruyne?lang=en  Instagram: https://www.instagram.com/belindapruyne/ 

Kapil Gupta, former Enterprise AI Product & Platform Leader at Cigna, shares insights from more than two decades of turning cutting-edge technology into enterprise-ready products. He unpacks the difference between generative AI and agentic AI, and why governance, user choice, and thoughtful design matter just as much as innovation. Learn how enterprises can scale responsibly and why the best technology often feels invisible to the people using it. Key Takeaways:  The tangible difference between generative AI and agent-based workflows Why adoption depends on fitting into existing workflows, rather than forcing behavior change The challenge of legacy systems and disconnected data How companies can innovate quickly without introducing unnecessary risk How pushing back, probing, and questioning AI can unlock more value Why listening to users matters more than building flashy features Guest Bio: Kapil Gupta is an executive product leader specializing in leveraging emerging technologies to solve complex business problems at scale. As a leader of AI product and platform teams at Cigna and previously at industry leaders like Capital One, Deloitte, and IBM, he has turned breakthrough innovations like Generative AI into practical enterprise solutions.  Kapil is driven by a focus on crafting AI-driven product experiences that solve real problems and ensure high adoption, bridging the gap between sophisticated technology and business value. He balances high-level strategic vision with a passion for staying hands-on, often vibe coding prototypes to prove out new concepts. Kapil holds an MS in Computer Science and an MBA from NYU Stern. He shares his work at kapilgupta.me and lives in New York. ---------------------------------------------------------------------------------------- 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

Are you actually growing your product, or just stacking signups that never turn into usage?A lot of teams get stuck there. More registrations feel good, but it's not the same as real usage, paid adoption, and a pipeline you can trust. And now with AI in the mix, it's easy to create more activity without getting more signal.In this episode of B2B SaaS Marketing Snacks, hosts Stijn Hendrikse and Brian Grav bring on their first guest, Alex Laventer.Alex has spent years in growth roles in B2B SaaS, including leading growth at DataStax and now leading go-to-market work on an AI agent product at IBM.The conversation gets practical fast, what “growth” really means, and how teams split (or combine) growth marketing and product growth.You'll walk away with a clearer way to measure growth, how to set up tracking you can rely on, and where AI can help (and where it tends to distract), including lead scoring and workflow automation.In this episode, you'll learn:Why signups mislead growth conversationsWhere teams lose signal without trackingHow PQLs connect product and marketingPerspective on sales assist with PLGExample: AI-assisted lead scoring workflows By the end, you'll know what to measure, what to ignore, and what to fix next so “growth” stops being a vague label and starts being a real operating system. Resources shared in this episode:BSMS 88 - Why founders overestimate PLG, and what VCs should check before investingBSMS 23 - Product led growth vs. sales led growthThe Foundation of a Successful SaaS GTM (Go-to-Market) Strategy T2D3 CMO MasterclassSubmit and vote on our podcast topicsABOUT B2B SAAS MARKETING SNACKSSince 2020, The B2B SaaS Marketing Snacks Podcast has offered software company founders, investors and leadership a fresh source of insights into building a complete and efficient engine for growth.Meet our Marketing Snacks Podcast Hosts: Stijn Hendrikse: Author of T2D3 Masterclass & Book, Founder of KalungiAs a serial entrepreneur and marketing leader, Stijn has contributed to the success of 20+ startups as a C-level executive, including Chief Revenue Officer of Acumatica, CEO of MightyCall, a SaaS contact center solution, and leading the initial global Go-to-Market for Atera, a B2B SaaS Unicorn. Before focusing on startups, Stijn led global SMB Marketing and B2B Product Marketing for Microsoft's Office platform.Brian Graf: CEO of KalungiAs CEO of Kalungi, Brian provides high-level strategy, tactical execution, and business leadership expertise to drive long-term growth for B2B SaaS. Brian has successfully led clients in all aspects of marketing growth, from positioning and messaging to event support, product announcements, and channel-spend optimizations, generating qualified leads and brand awareness for clients while prioritizing ROI. Before Kalungi, Brian worked in television advertising, specializing in business intelligence and campaign optimization, and earned his MBA at the University of Washington's Foster School of Business with a focus in finance and marketing. Visit Kalungi.com to learn more about growing your B2B SaaS company.  

Send a textTackling the messy reality of data fueling artificial intelligence, Andrea Muttoni—President & CPO at Story—joins the show to unpack how Story is building an AI-native infrastructure for intellectual property and training data. We dig into making the $80T IP asset class programmable, traceable, and monetizable, and how Story aims to turn “mysterious training data blobs” into transparent rights and payments for creators and enterprises.01:10 Meet Andrea Muttoni 06:49 Story's Core Mission 13:41 IP Monetization 21:08 Biggest Competitor 22:49 Compute, Models, & Data 27:46 What to IP, Where Not 31:16 Blockchain 34:54 Protecting Your IP 41:36 Reaching StoryAndrea explains how Story is building a blockchain-based IP and data layer so AI systems can train on licensed content while proving usage, enforcing licenses, and automating payments to rights holders. We talk about the practical challenges of cleaning and labeling real-world data, what “IP-safe” datasets look like in practice, and how developers and companies can plug into Story's infrastructure. Andrea also shares where blockchain actually adds value (and where it doesn't), why he thinks “AI can't scale on legal ambiguity,” and concrete steps creators and founders can take today to protect and monetize their IP in the AI era.LinkedIn: linkedin.com/in/muttoni Website: https://www.story.foundation/#AITrainingData, #IntellectualProperty, #IPEconomy, #StoryProtocol, #DataInfrastructure, #AIGovernance, #AILaw, #Web3, #Blockchain, #CreatorEconomy, #DataOwnership, #RightsManagement, #Licensing, #TechPodcast, #Developers, #MachineLearning, #AIEthics, #DataMonetizationWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send a textTackling the messy reality of data fueling artificial intelligence, Andrea Muttoni—President & CPO at Story—joins the show to unpack how Story is building an AI-native infrastructure for intellectual property and training data. We dig into making the $80T IP asset class programmable, traceable, and monetizable, and how Story aims to turn “mysterious training data blobs” into transparent rights and payments for creators and enterprises.01:10 Meet Andrea Muttoni 06:49 Story's Core Mission 13:41 IP Monetization 21:08 Biggest Competitor 22:49 Compute, Models, & Data 27:46 What to IP, Where Not 31:16 Blockchain 34:54 Protecting Your IP 41:36 Reaching StoryAndrea explains how Story is building a blockchain-based IP and data layer so AI systems can train on licensed content while proving usage, enforcing licenses, and automating payments to rights holders. We talk about the practical challenges of cleaning and labeling real-world data, what “IP-safe” datasets look like in practice, and how developers and companies can plug into Story's infrastructure. Andrea also shares where blockchain actually adds value (and where it doesn't), why he thinks “AI can't scale on legal ambiguity,” and concrete steps creators and founders can take today to protect and monetize their IP in the AI era.LinkedIn: linkedin.com/in/muttoni Website: https://www.story.foundation/#AITrainingData, #IntellectualProperty, #IPEconomy, #StoryProtocol, #DataInfrastructure, #AIGovernance, #AILaw, #Web3, #Blockchain, #CreatorEconomy, #DataOwnership, #RightsManagement, #Licensing, #TechPodcast, #Developers, #MachineLearning, #AIEthics, #DataMonetizationWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

We dive into the latest paper from a team of researchers at IBM: "From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production." We're excited to host several of the paper's authors, who walk us through the research and its implications. The paper reports IBM's experience developing and piloting the Computer Using Generalist Agent (CUGA), which has been open-sourced for the community. CUGA adopts a hierarchical planner–executor architecture with strong analytical foundations, achieving state-of-the-art performance on AppWorld and WebArena. Beyond benchmarks, it was evaluated in a pilot within the Business-Process-Outsourcing talent acquisition domain, addressing enterprise requirements for scalability, auditability, safety, and governance. CUGA code: https://github.com/cuga-project/cuga-agent Paper: https://arxiv.org/abs/2510.23856Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.

Buzzwords don't make your content smarter—they make it forgettable. In this episode of Content Amplified, Abby Ross explains why vague, overused language quietly erodes trust, weakens differentiation, and confuses the very people you're trying to reach.Drawing from a career that spans journalism, PR, cybersecurity, and SaaS marketing, Abby shares a clear, practical approach to writing content that actually says something. No fluff. No hiding. Just words that mean what they say.What you'll learn in this episode:Why buzzwords signal uncertainty instead of expertiseHow vague language hurts credibility with buyers and journalistsA simple test to spot buzzwords before they shipHow to replace “fancy” words with specific, valuable languageWays to push back—politely—when executives insist on jargonHow AI can amplify bad writing if you don't guide it carefullyGuest Bio: Abby RossAbby Ross is a corporate communications leader with a deeply unconventional path. She began her career as a television news reporter, then moved into political communications as a communications director for a New York State Senator. From there, she transitioned into agency PR, representing clients across tech, legal, and nonprofit sectors.Abby later found her way into cybersecurity, leading media relations and corporate communications at companies including Trustwave, Bay Dynamics, IBM, and Akamai. Along the way, she also served as an acting CMO and led marketing for IBM's elite team of hackers and incident responders.Today, Abby leads corporate communications at Hydrolix, a SaaS data analytics platform that delivers real-time performance and security insights from massive volumes of log data.You can connect with Abby and explore her work here:LinkedIn: https://www.linkedin.com/in/abby-ross/Hydrolix: https://hydrolix.io/Text us what you think about this episode!

Podcast: PrOTect It All (LS 27 · TOP 10% what is this?)Episode: Pen Testing Reality Check: Why Cybersecurity Fundamentals Still Matter More Than AIPub date: 2026-02-09Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationShiny tools don't break attackers in basic mistakes. In Episode 92 of Protect It All, host Aaron Crow sits down with Corey LeBleu, founder of Relix Security and seasoned penetration tester, for a candid look at what actually causes organizations to get compromised and why fundamentals still matter more than the latest security trends. Drawing from years of red-team and penetration-testing experience, Corey shares real stories from the field: forgotten printers, unmanaged IoT devices, legacy systems no one owns anymore, and misconfigurations hiding in plain sight. Together, Aaron and Corey unpack why asset visibility, patching, and change management continue to be the weakest links - even as AI and automation enter the security conversation. You'll learn: Why old printers, IoT devices, and “temporary” systems are prime attack paths What most organizations misunderstand about pen testing and red teaming How poor asset inventory and change management undermine security programs The real risks behind shadow IT and unmanaged tools Where AI helps in pen testing and where experience still wins Why mastering the basics beats chasing new security gadgets every time Whether you're a security professional, IT leader, or someone looking to break into cybersecurity, this episode delivers practical, no-nonsense lessons from the front lines - focused on what actually reduces risk. Tune in to hear why cybersecurity success still starts with the fundamentals - only on Protect It All. Key Moments:  03:57 Critical Infrastructure: Finding Vulnerabilities 06:44 "Cyber Risks from Hidden Devices" 11:25 Cybersecurity: Focus on Basics 16:09 Complex Systems Demand Continuous Testing 18:17 Understanding Complex System Security 22:54 "Testing: External vs. Internal" 24:12 Enterprise Challenges with AI Integration 27:40 AI Lowers Barriers for Hacking About the guest :  Corey LeBleu has built a career around application security testing, becoming deeply involved in integrating vulnerability assessments throughout the software testing lifecycle. Noticing shifts in industry practices, Corey observed major international financial institutions moving to routinely pentest every application- even legacy IBM systems - leading the way in robust cybersecurity practices. In contrast, Corey also highlights the challenges faced by manufacturing, where operational technology often suffers from outdated, vulnerable systems. Corey's experience showcases the evolving landscape of application security, emphasizing the need for continuous testing and vigilance across diverse industries. How to connect Corey : https://www.linkedin.com/in/coreylebleu/ Connect With Aaron Crow: Website: www.corvosec.com  LinkedIn: https://www.linkedin.com/in/aaronccrow Learn more about PrOTect IT All: Email: info@protectitall.co  Website: https://protectitall.co/  X: https://twitter.com/protectitall  YouTube: https://www.youtube.com/@PrOTectITAll  FaceBook:  https://facebook.com/protectitallpodcast   To be a guest or suggest a guest/episode, please email us at info@protectitall.co Please leave us a review on Apple/Spotify Podcasts: Apple   - https://podcasts.apple.com/us/podcast/protect-it-all/id1727211124 Spotify - https://open.spotify.com/show/1Vvi0euj3rE8xObK0yvYi4The podcast and artwork embedded on this page are from Aaron Crow, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

What does it really take to move enterprise AI from impressive demos to decisions that show up in quarterly results? One year into his role as Global Managing Partner at IBM Consulting, Neil Dhar sits at the intersection of strategy, capital allocation, and technology execution. Leading the firm's Americas business and a team of close to 100,000 consultants, he has a front-row view into how large organizations are reassessing their AI investments. From global healthcare leaders like Medtronic to luxury retail brands such as Neiman Marcus, the conversation has shifted. Early proofs of concept helped executives understand what was possible. Now the focus is firmly on proof of value and on whether AI can drive growth, competitiveness, and measurable return. In this episode, I speak with Neil Dhar about what has changed in the boardroom over the past year and why ROI has become the central question. Drawing on more than three decades in finance and private equity, including senior leadership roles at PwC, Neil explains why AI is increasingly being treated as a capital allocation decision rather than a technology experiment. Every dollar invested has to earn its place, whether through productivity gains, operational improvement, or new revenue opportunities. Vanity projects no longer survive scrutiny, especially when boards and investors expect results on a much shorter timeline. We also explore how IBM is applying these same principles internally. Neil shares how the company has identified hundreds of workflows across the business, prioritized those with the strongest economic impact, and used AI and automation to drive large-scale productivity gains. The result is a potential $4.5 billion in annual run rate savings by 2025, with those gains being reinvested into innovation, people, and future growth. It is a candid look at what happens when AI strategy, leadership accountability, and disciplined execution come together inside a global organization. If you are a business leader trying to separate real value from hype, or someone wrestling with how to justify AI spend beyond experimentation, this conversation offers a grounded perspective on what enterprise AI looks like when it is treated as a business decision rather than a technology trend. Are you ready to rethink how AI earns its place inside your organization, and what proof of value really means in 2026? Useful Links Connect With Neil Dhar IBM Institute for Business Value, "The Enterprise in 2030" study Learn More About IBM Consulting

Our guest this week, Alvin Wang Graylin spent 35 years in senior leadership roles across HTC, IBM, and other major tech companies. He ran HTC's VR division, came out of the famous HIT Lab, now teaches at MIT, holds a fellowship at Stanford, and just published a paper called "Beyond Rivalry" proposing a seven-point plan for deescalating US-China AI tensions and building a global safety net before the economy breaks. His thesis: America is the fastest in the AI race and the least prepared for what it's creating—a cliff where human labor theory of value collapses, capital concentration accelerates, and 40% of the population living month to month faces chaos.The conversation becomes a wide-ranging debate between Alvin, Charlie, and Rony about whether AGI will be benevolent by default (Alvin's position: research shows smarter AI seeks global coherence and becomes less controllable by individual humans, which may actually make it safer) or whether benevolence must be designed in from scratchAI XR News You Should Know: Elon Musk merges SpaceX, xAI, and X into a single entity—Alvin dismantles the space data center concept with physics (vacuum cooling is a myth, micro-meteorite collisions would destroy hardware daily, and energy is only 10% of data center costs). Amazon invests $50 billion in OpenAI that round-trips back to AWS. Alphabet breaks revenue records at $400 billion but spooks investors by disclosing $90 billion in AI spending. ElevenLabs raises $500 million at $11 billion valuation. Rony's SynthBee hits unicorn status with $100 million raised at a multi-billion dollar valuation. Alvin warns the AI bubble dwarfs the dot-com era (298 companies raised $24 billion total during dot-com; OpenAI alone is raising that in a single private round) and predicts OpenAI may implode before going public.Key Moments Timestamps:[00:04:47] SpaceX/xAI/X merger: Rony calls it Elon's "return to Tony Stark form"[00:06:41] Alvin dismantles space data centers with physics: vacuum cooling myth, micro-meteorites, $7K/kg launch costs[00:10:04] Amazon's $50B investment in OpenAI as a round-trip to AWS; the scam economy[00:11:26] Alvin predicts OpenAI may implode before going public[00:14:23] Alvin on 35 years in AI: the technology is transformational but everyone's making a commodity product[00:17:04] The AI bubble dwarfs dot-com: $24B total vs. single private rounds today[00:19:04] Rony's contrarian: the $110 trillion global economy is what's being bet against[00:21:06] Labor theory of value collapses: what happens when humans exit the production cycle[00:23:00] America is fastest in the AI race and least prepared; 40% live month to month[00:24:00] Alvin's Stanford paper "Beyond Rivalry": a CERN for AI and global data pool[00:28:00] Davos reflections: the rest of the world is more rational than America[00:34:00] Chinese vs. American culture: reverence for teachers, respect for elders[00:42:00] Alvin's "Abundant" framework: valuing human dignity over production after AGI[00:44:22] The great debate: will AGI find benevolence naturally (Alvin) or must it be designed in (Rony)?[00:47:00] Rony on risk: AGI systems are unverifiable, untestable, and we cannot take the chanceListen to the full episode and subscribe to the AI XR Podcast for weekly conversations at the intersection of AI, XR, and the future of humanity.This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Build smarter at mattercraft.io.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

For the first time in history, workplaces now span five generations, forcing leaders to rethink long-standing assumptions about motivation, communication, and career growth. As Gen Z enters the workforce, they bring expectations shaped by a desire for meaningful work, clear development paths, and work-life balance—rather than traditional, one-size-fits-all career ladders. In an era marked by labor shortages and widening skills gaps, particularly in the trades, leaders who fail to clearly articulate direction, purpose, and opportunity risk losing talent before it ever fully engages.So, how do leaders motivate, align, and retain people who want more than “because I said so”? And what does effective leadership actually look like when titles matter less than trust?These questions are at the heart of the latest episode of Straight Outta Crumpton, hosted by Greg Crumpton, featuring keynote speaker, author, and leadership strategist Stan Phelps. Together, they explore how communication, self-advocacy, and purpose-driven leadership can bridge generational divides and unlock potential—especially in environments where traditional management models fall short.Top insights from the talk…Why clear communication isn't complete until others can repeat—and act on—the message in their own words.How Gen Z's emphasis on purpose over pay is reshaping leadership expectations.Why “warmth” (intent) matters even more than competence when building trust and influence.Stan Phelps is a globally recognized keynote speaker, workshop facilitator, and author who helps organizations drive loyalty, growth, and word-of-mouth through customer and employee experience, differentiation, and purpose-driven strategy. A Certified Speaking Professional, former IBM Futurist, and Forbes contributor, he has delivered keynotes and workshops in 24 countries for Fortune 100 brands including IBM, Disney, UPS, Microsoft, and Target. Drawing on 5,000+ case studies and his Goldfish methodology, Stan equips leaders across Sales, Marketing, HR, and Operations with practical, action-oriented ideas that deliver measurable business results.

The Exit Myth: From Corporate Success to a Purpose-Driven Exit Why selling the business isn't the finish line—and how real exit readiness changes everything.In this episode of the ExitMap Podcast, John Dini, The Exit Planning Coach, sits down with Melinda Adams to unpack the realities behind entrepreneurship, exit planning, and what truly happens after the sale of a business. Melinda shares her journey from corporate leadership at IBM and Oracle to owning—and eventually selling—a multi-location business, candidly discussing the costly mistakes she made by not being exit-ready. Together, they explore why so many owners underestimate taxes, overestimate proceeds, and fail to plan for life after the transaction. Melinda explains how her own exit experience reshaped her career, leading her to help owners identify their “freedom point” and avoid becoming part of the 75% who regret their exit. The conversation highlights the importance of holistic planning, assembling the right advisory team, and treating exit readiness as good business planning—not a last-minute event. For advisors and business owners alike, this episode reinforces a critical truth: a successful exit isn't about selling the business—it's about designing the life that comes next.

En esta entrevista, Carlos Azaustre repasa su evolución profesional, una trayectoria nada convencional que comenzó con la autoedición de cómics y pasó por gigantes como Google e IBM. Carlos explica cómo su blog nació por necesidad personal mientras vivía en Irlanda y cómo terminó convirtiéndose en un referente de SEO en español.Además, profundizamos en su faceta como profesor universitario, donde analiza el impacto de la IA generativa en los nuevos estudiantes y la importancia de no perder la capacidad de pensar antes de ejecutar. Una conversación indispensable sobre marca personal, salud mental y el futuro del desarrollo de software.Support the show

In the latest episode of AI in Action, Bernard Marr shares his perspective on how AI is changing the way we work and why AI literacy is becoming essential for every organization. He explains that real AI-driven business growth starts with a clear strategy. To make AI work at scale, companies need strong data foundations, modern data architecture and solid data management practices. Many organizations still struggle with siloed systems, weak governance and low data literacy, which hurts their competitive edge. Bernard encourages leaders to connect business intelligence with AI goals, rethink existing processes and give teams space to experiment. From agentic AI to quantum computing, he reminds us that change is happening fast and that a thoughtful, strategic approach to AI is key to building future-ready organizations.0:00 Intro03:47 What AI really means for companies in 202606:47 Scaling AI starts with strategy10:42 Leading the cultural shift to AI13:17 Competitive advantage starts with AI awareness18:14 The real barriers to scaling AI28:33 What enterprises can learn from AI startups30:58 Top trends for data and AI leaders34:24 Overcoming data and governance challengesThe opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. AI news is moving fast. Keep your business ahead with updates about AI advancements, strategies and expert perspectives → https://ibm.biz/BdpEkq

ASCII's Guest Host Tim Mack welcomes Moser's own John Murphy for this week's episode, the first in a 3-part series on Healthcare Data.John is one of Moser Consulting's foremost experts in healthcare data modeling, interoperability, and governance. With decades of experience spanning healthcare, insurance, and financial services, he brings a rare business‑first perspective to complex data challenges. John played a pivotal role in developing IBM's Unified Data Model for Healthcare (UDMH) and has led large‑scale healthcare data integration initiatives for organizations ranging from small providers to national systems with thousands of hospitals and hundreds of thousands of employees. John's expertise spans FHIR and HL7 standards, data governance, privacy and consent, legacy system modernization, and large‑scale data transformation. What sets him apart is his ability to translate highly technical standards into real, measurable outcomes—helping organizations improve compliance, integration speed, data quality, and decision‑making. If you work with healthcare data, this is knowledge you want to have.To see the slides in John's presentation, you can watch the video version of the podcast at: https://www.youtube.com/watch?v=eugoVFaPUvUOr, Moser's newest blog about Healthcare Data includes a copy of the slides John is referencing in this episode:https://www.moserit.com/blog/healthcare-data-interoperability-done-rightYou can directly access the slide files here:https://static1.squarespace.com/static/61730a7d9c7a0c57e52d6f0b/t/698b4c2acf0872423cec600c/1770736682991/2026_FHIR+Data+Interoperability.pdf

Welcome to episode #1022 of Thinking With Mitch Joel (formerly Six Pixels of Separation). At a moment when organizational change is too often treated as a mandate rather than an experience people choose to embrace, Phil Gilbert has spent his career proving that transformation only sticks when it earns genuine buy-in. Phil is a design executive, transformation leader and former General Manager of Design at IBM, where he architected one of the largest cultural and operational shifts in corporate history, helping nearly 400,000 employees across 180 countries become more entrepreneurial, agile and customer-centered. Trained as both a designer and systems thinker, Phil brought design thinking out of studios and into the core of enterprise decision-making, reshaping how teams collaborated, how products were built, and how leaders understood their customers. His work at IBM addressed hard truths, including the company's struggles with usability and missed opportunities in the early cloud era, by treating change itself as a product worthy of rigor, investment, and care. That experience became the foundation for his book Irresistible Change - A Blueprint For Earning Buy-In And Breakout Success, which blends narrative and field guide to show how large organizations can scale transformation by focusing on people, practices, and environments rather than slogans or top-down directives. Phil's approach reframes culture as an outcome, not an initiative, arguing that lasting change emerges when employees see themselves in the future being designed. Beyond IBM, his work as an executive coach and advisor continues to focus on how leaders navigate complexity, align teams, and thoughtfully integrate technologies like AI into human systems without eroding trust or creativity. Grounded in real-world execution rather than theory, Phil's perspective challenges organizations to stop forcing change and start making it irresistible. Enjoy the conversation… Running time: 1:02:49. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Thinking With Mitch Joel. Feel free to connect to me directly on LinkedIn. Check out ThinkersOne. Here is my conversation with Phil Gilbert. Irresistible Change - A Blueprint For Earning Buy-In And Breakout Success. Follow Phil on LinkedIn. Chapters: (00:00) - Introduction to Phil Gilbert and His Journey. (01:26) - IBM's Transformation and Challenges. (04:17) - The Shift from Technology to Product. (10:55) - Implementing Design Thinking at IBM. (16:30) - Cultural Change and Its Impact on Outcomes. (22:53) - The Role of Teams in Transformation. (26:40) - Branding the Change: Hallmark Program. (32:22) - The Importance of Team Selection in Transformation. (34:59) - Creating Demand for Change. (37:23) - Agency and Team Resilience. (38:06) - IBM's Market Position and Transformation. (41:14) - The Shift in Work Dynamics. (44:46) - Rethinking Office Spaces. (48:58) - Irresistible Change and Transformation Failures. (53:51) - AI Integration and Market Forces. (59:38) - The Impact of Design Thinking on Business.

Neil Twa joins the Murder, Mystery, and Mayhem Laced with Morality Podcast

An airhacks.fm conversation with Kabir Khan (@kabirkhan) about: first computer was a ZX Spectrum 48K with rubber keys, playing Bomb Jack as a memorable early game, growing up in Norway near Oslo with lots of outdoor activities including skiing and swimming in warm fjords, discovering multimedia kiosks at Tower Records in Piccadilly Circus as career inspiration, writing a Java applet dissertation visualizing Motorola 68000 CPU instruction processing with animations, early programming in Basic on the ZX spectrum including a hardcoded cookbook application, learning Pascal and the revelation of understanding what files actually are, first job writing an HTTP server in C++ on Windows NT using Winsock, implementing Real-Time Protocol streaming for multimedia content, working at a consultancy learning multiple programming languages including Active Server Pages ASP and Microsoft Transaction Server MTS, going freelance and building a Java-based exhibition industry booking system, using JBoss with EJB3 for the second version of the exhibition system, getting JBoss support and being impressed by their expertise, contributing to JBoss Mail and JBoss AOP as open source contributions, meeting Sacha Labourey at a JBoss partner event in Norway who advised focusing on AOP, joining JBoss in September 2004 when the company had only about 50 people, meeting Marc Fleury and having pizza at his house in Atlanta, the Red Hat acquisition of JBoss in 2006, leading the JBoss AOP project and standardizing interceptor chains, working on the JBoss microcontainer for JBoss 5 which was over-engineered and slow, joining the team that rethought the server architecture leading to Wildfly, working on WildFly core server management and domain management, the recent move of the runtimes division from Red Hat to IBM, current work on Agent-to-Agent (A2A) protocol, quarkus being the Java reference implementation for the A2A specification published by Google, Agent-to-Agent Protocol as a standardized protocol for agent-to-agent communication using JSON-RPC REST and grpc, agent cards as capability advertisements similar to business cards, benefits of smaller specialized agents over monolithic AI applications including better traceability smaller context windows and flexibility with different LLMs, comparison of agent architecture to microservices where smaller agents are preferable unlike traditional services where monoliths can be better, upcoming episode planned to deep-dive into A2A with Quarkus and opentelemetry for agent traceability Kabir Khan on twitter: @kabirkhan

On this episode, legendary copywriter Bob Bly revisits the show to share his perspective on AI in copywriting. For 4+ decades, Bob has been writing high-performance direct response copy for IBM, AT&T, Intuit, Forbes, Medical Economics, ITT, and dozens of other smart direct marketers, both large and small, who want to get more leads and […] The post 420: The Truth About AI Writing from Copywriting Legend Bob Bly first appeared on Persuasion by the Pint.

Bryan and Adam were joined by Grady Booch, software engineering pioneer and living legend, to speak about the past present and future of software engineering. History doesn't repeat itself, but it does rhyme!In addition to Bryan Cantrill and Adam Leventhal, we were joined by special guest, Grady Booch.Some of the topics we hit on, in the order that we hit them (some LLM assistance):SAGE as foundational real-time distributed systemSoftware crisis demand outpaced ability to build reliable systemsMargaret Hamilton (SAGE → Apollo) and the term “software engineering”UMLRational Software founded (1982); acquired by IBM (2003)OO overshot via inheritance; core idea (objects as cognitive units) enduredLLMs are unreliable narrators - they cannot do abductive reasoningArchitecture = decisions with high cost of changeCore skills persist: abstraction, coupling, cohesion, judgmentFear cycles repeat; fundamentals endureGrady's Book RecommendationsThe Sciences of the Artificial — Herbert SimonThe Mythical Man-Month — Fred BrooksRefactoring — Martin FowlerIf we got something wrong or missed something, please file a PR! Our next show will likely be on Monday at 5p Pacific Time on our Discord server; stay tuned to our Mastodon feeds for details, or subscribe to this calendar. We'd love to have you join us, as we always love to hear from new speakers!

The games begin early in the AI space. In this emergency episode of Mixture of Experts, guest host Aili McConnon is joined by Chris Hay and Mihai Criveti to break down yesterday's back-to-back bombshells: Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.3-Codex, released within an hour of each other. Our experts dissect both models. Which one actually performs better for coding tasks? Then, we unpack what these releases reveal about the intensifying battle for enterprise AI. Finally, Chris and Mihai share their real-world workflows—why use one model when you can leverage both? Plus, we discuss the vibe shift: multi-agent workflows aren't coming; they're already here. 00:00 – Introduction 00:14 – Claude Opus 4.6 and GPT-5.3-Codex releases 02:49 – Model comparison 06:00 – Battle for enterprise AI 10:03– Multi-agent workflows The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Read more about the Anthropic vs OpenAI showdown → https://ibm.biz/BdpEkv Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts #ClaudeOpus4.6, #GPT-5.3-Codex #EnterpriseAI, #AIAgents, #DeveloperTools

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Is OpenAI Codex a game-changer or just catching up? This week on Mixture of Experts, we analyze OpenAI's first-party coding agent app, Codex. Host Tim Hwang and panelists Abraham Daniels, Ambhi Ganesan and first-time guest Sandhya Iyer debate whether Codex gives OpenAI an edge in the crowded AI coding space—or if it's simply table stakes in the agent orchestration race. Next, we revisit Moltbot (now OpenClaw), which spun off Moltbook, the Reddit-style social network for AI agents. Are these agent simulations revealing insights or just fun experiments? Our experts weigh in on the security risks, hallucinations and more. Join us for a packed episode covering coding agents, agent economies and the evolving code assistant landscape. 00:00 – Introduction 01:09 – OpenAI Codex app launch 10:18 – MoltBot/OpenClaw: AI agent social networks The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 #OpenAICodex, #AICodingAgents, #MoltBot, #NVIDIAOpenAI, #AIAgentOrchestration

In this episode, Dr. Cassandra Vonnes, a Gerontological Nurse Practitioner, and member of the GAPNA Communication Team, talks with Dr. Kimberly Posey, the Coordinator of the Executive Nurse DNP Program and MSN Nursing Education Program at Texas Christian University, in Fort Worth, TX, and currently serves as GAPNA's President.  Dr. Posey shares her unconventional path from a technical career at IBM to discovering her passion for nursing and geriatric care. She discusses community-based initiatives, including a foot care clinic for unhoused older adults, and shares insights from her research on nurse practitioner job satisfaction and interprofessional education in long-term care. She also highlights her policy work on the Texas Nursing Facility Administrators Advisory Committee, emphasizing the importance of advocacy, mentorship, and advancing high-quality, compassionate care for older adults.Dr. Kimberly Posey, PhD, DNP, APRN, AGPCNP, GS-C, FAANP, is the Coordinator of the Executive Nurse DNP Program and MSN Nursing Education Program at Texas Christian University, in Fort Worth, TX, and currently serves as GAPNA's President.  Dr. Cassandra Vonnes, DNP, GNP-BC, APRN, AOCNP, CPHQ, FAHA, is the Nurses Improving Care for Healthsystem Elders (NICHE) Coordinator, Geriatric Oncology, at the Moffitt Cancer Center, in Tampa, Florida. She is a member of the Gerontological Advanced Practice Nurses Association Communication Team and is a host of the GAPNA Chat podcast series.Discover GAPNA: https://www.gapna.org/Production management by Anthony J. Jannetti, Inc., for the Gerontological Advanced Practice Nurses Association.Opening Music by:Optimistic / Inspirational by Mixaund | https://mixaund.bandcamp.com
Music promoted by https://www.free-stock-music.comClosing Music by:Scott Holmes.http://www.scottholmesmusic.com

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Bamidele Farinre Founder of No Ceiling Consulting, a biomedical scientist, STEM expert, agile project manager, and advocate for professional development, mentorship, and removing internal and systemic limitations (“ceilings”). They discuss her STEM background, the evolving role of AI in science, the meaning of “no ceilings,” navigating personal and professional barriers, mentorship, setbacks, agile leadership, and how individuals—especially people of color—can create opportunity even in the face of bias and structural limitations.

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Bamidele Farinre Founder of No Ceiling Consulting, a biomedical scientist, STEM expert, agile project manager, and advocate for professional development, mentorship, and removing internal and systemic limitations (“ceilings”). They discuss her STEM background, the evolving role of AI in science, the meaning of “no ceilings,” navigating personal and professional barriers, mentorship, setbacks, agile leadership, and how individuals—especially people of color—can create opportunity even in the face of bias and structural limitations.

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Bamidele Farinre Founder of No Ceiling Consulting, a biomedical scientist, STEM expert, agile project manager, and advocate for professional development, mentorship, and removing internal and systemic limitations (“ceilings”). They discuss her STEM background, the evolving role of AI in science, the meaning of “no ceilings,” navigating personal and professional barriers, mentorship, setbacks, agile leadership, and how individuals—especially people of color—can create opportunity even in the face of bias and structural limitations.

What if everything you've been told about fertility and age is wrong?Dr. Ann Shippy — Board-Certified Internal Medicine physician, functional medicine pioneer, former IBM engineer, and author of the new book The Preconception Revolution (foreword by Dr. Mark Hyman) — joins Raj to shatter the myths keeping couples stuck in fear and share what the science actually says about getting pregnant naturally, even in your 40s.In this episode, you'll discover:How a 47-year-old patient conceived naturally after just 3 months of preparationWhy infertility might be a blessing in disguise — and what your body is really telling youThe shocking way trauma rewrites the DNA of your sperm and eggs through epigeneticsWhy your mitochondrial DNA doesn't age the way you've been told it doesHow men with zero sperm count have gone on to have multiple children naturallyThe conversations couples avoid that could be the key to calling in the soul of their childWhy self-love is the single most important fertility protocol — according to scienceWhat the "new souls" coming in are here to do and why they need strong, prepared bodiesIt's not too late. Whether you're in your 30s and planning ahead or in your 40s wondering if the window has closed — this episode will change how you think about fertility, family, and the incredible power you have to shape the health of future generations. Press play and let this one land in your heart.Connect with Dr. Shippy:Website:https://annshippymd.com/https://everybabywell.com/Instagram: @annshippymdConnect with Raj:Liber8: www.liber8.health/programNewsletter – Sign up here: https://www.rajjana.com/staygrounded/Website: http://www.rajjana.com/Instagram: @raj_janaiTunes: https://podcasts.apple.com/rs/podcast/stay-grounded-with-raj-jana/id1318038490Spotify: https://open.spotify.com/show/22Hrw6VWfnUSI45lw8LJBPYouTube: https://www.youtube.com/@raj_janaLegal Disclaimer: The information and opinions discussed in this podcast are for educational and entertainment purposes only. The host and guests are not medical or mental health professionals, and their advice should not be a substitute for seeking professional help. Any action taken based on the information presented is strictly at your own risk. The podcast host and their guests shall have neither liability nor responsibility to any person or entity with respect to any loss, damage, or injury caused or alleged to be caused directly or indirectly by information shared in this podcast. Consult your physician before making any changes to your mental health treatment or lifestyle. Hosted on Acast. See acast.com/privacy for more information.

Send us a textPrasad Calyam, Curators' Distinguished Professor and Center Director at the University of Missouri, joins the show to explore how knowledge graphs, modern data platforms, and AI are reshaping power grids and cybersecurity. He breaks down graph database fundamentals, real-world research projects, and how industry can tap into cutting-edge university work—all in language that engineers, data folks, and developers can put to use.Timestamps 01:30 Meet Prasad Calyam 02:57 Why Higher Education? 05:22 Data Analytics 06:59 The Modern Power Grid 09:40 Graph DB Fundamentals 12:21 Cybersecurity via Graphs and RAG 13:45 Research Projects 14:38 Industry Leveraging University Research 16:07 Advice for Students 17:16 What's Fun for ProfessorsLinks LinkedIn: linkedin.com/in/prasadcalyam Website: http://www.missouri.edu#KnowledgeGraphs #GraphDatabase #RAG #Cybersecurity #PowerGrid #DataEngineering #AI #MLOps #TechPodcast #Developers #ResearchToProduction #UniversityResearchWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In this episode of ACM ByteCast, Rashmi Mohan hosts software development productivity expert Nicole Forsgren, Senior Director of Developer Intelligence at Google. Forsgren co-founded DevOps Research and Assessment (DORA), a Google Cloud team that utilizes opinion polling to improve software delivery and operations performance. Forsgren also serves on the ACM Queue Editorial Board. Previously, she led productivity efforts at Microsoft and GitHub, and was a tenure track professor at Utah State University and Pepperdine University. Forsgren co-authored the award-winning book Accelerate: The Science of Lean Software and DevOps and the recently published Frictionless: 7 Steps to Remove Barriers, Unlock Value, and Outpace Your Competition in the AI Era. In this interview, Forsgren shares her journey from psychology and family science to computer science and how she became interested in evidence-based arguments for software delivery methods. She discusses her role at Google utilizing emerging and agentic workflows to improve internal systems for developers. She reflects on her academic background, as the idea for DORA emerged from her PhD program, and her time at IBM. Forsgren also shares the relevance of the DORA metrics in a rapidly changing industry, and how she's adjusting her framework to adapt to new AI tools. 

Send us a textPrasad Calyam, Curators' Distinguished Professor and Center Director at the University of Missouri, joins the show to explore how knowledge graphs, modern data platforms, and AI are reshaping power grids and cybersecurity. He breaks down graph database fundamentals, real-world research projects, and how industry can tap into cutting-edge university work—all in language that engineers, data folks, and developers can put to use.Timestamps 01:30 Meet Prasad Calyam 02:57 Why Higher Education? 05:22 Data Analytics 06:59 The Modern Power Grid 09:40 Graph DB Fundamentals 12:21 Cybersecurity via Graphs and RAG 13:45 Research Projects 14:38 Industry Leveraging University Research 16:07 Advice for Students 17:16 What's Fun for ProfessorsLinks LinkedIn: linkedin.com/in/prasadcalyam Website: http://www.missouri.edu#KnowledgeGraphs #GraphDatabase #RAG #Cybersecurity #PowerGrid #DataEngineering #AI #MLOps #TechPodcast #Developers #ResearchToProduction #UniversityResearchWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In this episode of RevOps Champions, host Brendon Dennewill talks with Hayden Stafford, President and Chief Revenue Officer at Seismic. Drawing on 25+years leading go-to market teams at Microsoft, Salesforce, IBM, and Pegasystems, Hayden explains why modern growth depends on a "well-plumbed" revenue system, where sales, success, support, partners, and service operate as one connected engine. Hayden reframes enablement as the strategic translation layer that turns boardroom strategy into frontline execution with the right context, content, and coaching inside the flow of work. The conversation also tackles market downturn readiness, the CFO/CRO tension, and the importance of leading indicators, and a pragmatic view of AI adoption. What You'll LearnHow revenue strategy and revenue systems work together to drive resultsWhy enablement is a cross-functional translation layer, not just trainingWhat it means for RevOps to move from reporting outcomes to surfacing signalsWhere AI delivers the most value when embedded in daily workflowsThe first alignment levers CROs should focus onHow to recognize when AI adoption stalls before impact shows upResources MentionedSeismicSatya Nadella Microsoft Dynamics 365 Salesforce AgentforceMicrosoft CopilotIs your business ready to scale? Take the Growth Readiness Score to find out. In 5 minutes, you'll see: Benchmark data showing how you stack up to other organizations A clear view of your operational maturity Whether your business is ready to scale (and what to do next if it's not) Let's Connect Subscribe to the RevOps Champions Newsletter LinkedIn YouTube Explore the show at revopschampions.com. Ready to unite your teams with RevOps strategies that eliminate costly silos and drive growth? Let's talk!

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss autonomous AI agents and the mindset shift required for total automation. You’ll learn the risks of experimental autonomous systems and how to protect your data. You’ll discover ways to connect AI to your calendar and task managers for better scheduling. You’ll build a mindset that turns repetitive tasks into permanent automated systems. You’ll prepare your current workflows for the next generation of digital personal assistants. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-what-openclaw-moltbot-teaches-us-about-ai-future.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn [00:00]: In this week’s In Ear Insights, let’s talk about autonomous AI. The talk of the town for the last week or so has been the open source project first named Claudebot, spelled C L A W D. Anthropic’s lawyers paid them a visit and said please don’t do that. So they changed it to Maltbot and then no one could remember that. And so they have changed it finally now to Open Claw. Their mascot is still a lobster. This is in a condensed version, a fully autonomous AI system that you install on a. Christopher S. Penn [00:35]: Please, if you’re thinking about on a completely self contained computer that is not on your main production network because it is made of security vulnerabilities, but it interfaces with a bunch of tools and hasn’t connected to the AI model of your choice to allow you to basically text via WhatsApp or Telegram with an agent and have it go off and do things. And the the pitch is a couple things. One, it has a lot of autonomy so it can just go off and do things. There were some disasters when it first came out where somebody let it loose on their production work computer and immediately started buying courses for them. We did not see a bump in the Trust Insights courses, so that’s unfortunate. But the idea being it’s supposed to function like a true personal assistant. Christopher S. Penn [01:33]: You just text it and say hey, make me an appointment with Katie for lunch today at noon PM at this restaurant and it will go off and figure out how to do those things and then go off and do them. And for the most part it is very successful. The latest thing is people have been just setting it loose. They a bunch of folks created some plugins for it that allow it to have its own social network called Mult Book, where which is a sort of a Reddit clone where hundreds of thousands of people’s open Claw systems are having conversations with each other that look a lot like Reddit and some very amusing writing there. Christopher S. Penn [02:12]: Before I go any further Katie, your initial impressions about a fully autonomous personal AI that may or may not just go off and do things on its own that you didn’t approve? Katie Robbert [02:24]: Hard pass period. No, and thank you for the background information. So I, you know, as I mentioned to you, Chris Offline, I don’t really know a lot about this. I know it’s a newer thing, but it’s like picked up speed pretty quickly. I thought people were trying to be edgy by spelling it incorrectly in terms of it being part of Claude, but now understanding that Claude stepped in and was like heck no. That explains the name because I was very confused by that. I was like, okay, you know, I, I think a lot of us have always wanted some sort of an admin or personal assistant for paperwork or, you know, making appointments and stuff. Like, so I can definitely see the potential. Katie Robbert [03:10]: But it sounds like there’s a lot of things that need to be worked out with the technology in terms of security, in terms of guardrails. So let’s say I am your average, everyday operations person. I’m drowning in the weeds of admin and everything, and I see this as a glimmer of hope. And I’m like, ooh, maybe this is the thing. I don’t know a lot about it. What do I need to consider? What are some questions I should be asking before I go ahead and let this quote unquote, autonomous bot take over my life and possibly screw things up? Christopher S. Penn [03:54]: Number one, don’t use this at work. Don’t use this for anything important. Run this on a computer that you are totally okay with just burning down to the ground and reformatting later. There are a number of services like Cloudflare, with Cloudflare’s workers and Hetzner and a bunch of other companies that have, they very quickly, very smartly rolled out very inexpensive plans where you can set up a open clause server on their infrastructure that is self contained and that at any point you just, you can just hit the self destruct button. Katie Robbert [04:27]: Well, and I want to acknowledge that because you said, you know, you started by saying, like, any computer, I don’t know a lot of people besides yourself and other handful who have extra computers lying around. You know, it’s not something that the average, you know, professional has. You know, some of us are using, you know, laptops that we get from the company that we work for and if we ever leave that job, we have to give that computer back. And so we don’t have a personal computer. Speaker 3 [04:59]: So it’s number one. Katie Robbert [05:01]: It’s good to know that there are options. So you said Cloudflare, you said, who else? Christopher S. Penn [05:06]: Hetzner, which is a German company, basically, anybody that can rent you a server that you can use for this type of system. What the important thing here is not this particular technology, because the creator has said, I made this for myself as kind of a gimmick. I did not intend for people to be deploying clusters of these and turning into a product and trying to sell it to people. He’s like, that’s not what it’s for. And he’s like, I intentionally did not put in things like security because I didn’t want to bother. It was a fun little side project. But the thing that folks should be looking at is the idea. The idea of. We’ve done some episodes recently on the Trust Insights livestream about Claude Code and Claude Cowork, which Cowork, by the way, just got plugins. Christopher S. Penn [05:58]: So all those skills and things, that’s for another time, but when you start looking at how we use things like Claude code. This morning when I got into the office, I fired up Claude Code, opened it in my Asana folder and said, give me my daily briefing. What’s going on? It listed all these things and I immediately just turn on my voice memo thing. I said, this is done. Let’s move this due date, this is done. And it went off and it did those things for me. Someone who hated using project management software like this now, I love it. And I was like, okay, great, I can just tell it what to do. And it does. And I actually looked. I opened up an asana looked, and it not only created the tasks, but it put in details and descriptions and stuff like that. Christopher S. Penn [06:44]: And it now also prompts me, hey, how much time do you think this will take? I’ll put that in there too. I’m like, this is great. I don’t have to do anything other than talk to it. Something like openclaw is the next evolution of a thing like Claude Code or Open or Claude Coerc, where now it’s a system that has connection to multiple systems, where it just starts acting like a personal assistant. I’m sure if I wanted to invest the time, and I probably will, I’m going to make a Python connector to my Google Calendar so that I can say in my Asana folder, hey, now that you’ve got my task list for this week, start blocking time for tasks. Christopher S. Penn [07:26]: Fill up my calendar with all the available slots with work so that I can get as much done as possible, which will make me more productive at a personal level. When people see systems like OpenClaw out there, they should be thinking, okay, that particular version, not a good idea. But we should be thinking about how will our work look when we have a little cloud bot somewhere that we can talk to, like a PA and say, fill up my calendar with the important stuff this week. Speaker 3 [07:58]: Right? Christopher S. Penn [07:59]: Yeah, because you’ve connected it to your son, you’ve connected your Google Calendar, you’ve connected to your HubSpot. You could say to it, hey, as CEO, you could say, hey, open agent, fill Up. Go look in HubSpot at the top 20 deals that we need to be working on and fill up John’s calendar with exact times that he should be calling those people. Right. Katie Robbert [08:24]: I’m sorry, in advance. I’m gonna do that. Christopher S. Penn [08:27]: He’s been saying, hey, it looks like Chris has gotten some time on Friday open agent. Go and look in Chris’s asana and fill up his day. Make sure that he’s getting the most important things done. That as a manager, you know, with permission, obviously is where this technology should be going so that you could, like, this is the vision. You could be running the company from your phone just by having conversations with the assistant. You know, you’re out walking Georgia and you’re like, oh, I forgot these three things and I need to do lunch here and I do this. Go, go take care of it. And like a real human assistant, it just does those things and comes back and says, here’s what I did for you. Katie Robbert [09:10]: Couple questions. One, you know, I hear you when you’re saying this is how we should be thinking about it. You are someone who has more knowledge than the most of us about what these systems can and can’t do. So how does someone who isn’t you start thinking about those things? Let’s just start with that question. You know, and I know that this, know I always come back to. I remember you wrote this series when we worked at the agency and it was for IBM. So you know, for those who don’t know, Chris is a, what, eight year running IBM champion. Congratulations on that. That is, I mean that’s a big deal. Katie Robbert [09:56]: But it was the citizen analyst post series that always stuck with me because I always, I’d never heard that terminology, but it was less about what you called it and more about the thinking behind it. And I think we’re almost, I would argue that we’re due for another citizen analyst, like series of posts from you, Chris, like, how do we get to thinking about this the way that you’re thinking about it or the way that somebody could be looking at it and you know, to borrow the term the art of the possible, like, how does someone get from. There’s a software, I’ve been told it does stuff, but I shouldn’t use it. Okay, I’m going to move on with my day. Katie Robbert [10:41]: Like, how does someone get from that to, okay, let me actually step back and look at it and think about the potential and see what I do have and start to cobble things together. You know, I feel like it’s maybe the difference between someone who can cook with a recipe and someone who can cook just by looking inside their pantry. Christopher S. Penn [11:01]: I, the cooking analogy is a great one. I would definitely go there because you have to know when you walk into the kitchen what’s in here, what are the appliances, what do we have for ingredients, how do those ingredients go together? Like for example chocolate and oatmeal generally don’t go well together. At least not as a main. It’s kind of like when you look at the 5PS platform we always say this in most situations do not start with the technology, right? That’s, that’s a recipe usually for not things not going well. But part of it is what’s implicit in platform is that you know what the platforms do, that you know what you have. Because if you don’t know what you have and you don’t know how to use them, which is process, then you’re not going to be as effective. Christopher S. Penn [11:46]: And so you do have to take some time to understand what’s in each of the five P’s so that you can make this happen. So in the case of something like an open claw or even actually let’s go, let’s take a step back. If you are a non technical user and you’re, let’s say you decide I’m going to open up Claude Cowork and try and make a go of this, the first question I would ask is well what things can it connect to? That’s an important mindset shift is what can I connect this to? Because we’ve all had the experience where we’re working like a chat GPT or whatever and it does stuff and it’s like fun and then like well now I got go be the copy paste monkey and put this in other systems. Christopher S. Penn [12:29]: When you start looking at agentic AI that where do I have to copy paste? This should be a shorter and shorter list every day as companies start adding more connectors. So when you go to Claude Cowork you see Google Drive, Google Calendar, fireflies, Asana, HubSpot, etc. And that’s your first step is go what does it connect to? And then you take a look at your own process in the 5ps and go of those systems. What do I do? Oh I every Monday I look in HubSpot and then I look in Google Analytics and then I look here and look here and go well if I wrote down that process as a standard operating procedure and I handed that sop as a document to Claude in cowork. I could literally asking, hey, how much of this could you do for me? Christopher S. Penn [13:21]: And just tell me what to look at. So first you got to know what’s possible. Second, you got to know your process. Third, you have to ask the machine can how much of this can you do? And then you have to think about and this is the important question, what, Given all this stuff that you have access to, what could you do that. I am not thinking about that. I’m not doing that. I should be. The biggest problem we have as humans is we do not. We are terrible at white space. We are terrible at knowing what’s not there. We. We look at something we understand, okay, this is what this thing does. We never think, well, what else could it do that I don’t know? This is where AI is really smart because it’s been trained on all the data. Christopher S. Penn [14:09]: It goes well, other people also use it for this. Other people do this. Or it’s capable of doing this. Like, hey, you’re asana. Because it contains a rudimentary document management system, could contain recipes. You could use it as a recipe book. Like you shouldn’t, but you could. And so those are kind of the mindset things. And the last one I’ll add to that. There’s something that I know, Katie, you and I have been talking about as we sort of try and build a. A co AI person as well as a co CEO to sort of the mirror the principles of trust. Insights is one of the first things that I think about every single time I try to solve a problem is this a problem that can solve with an algorithm? This is something that I Learned from Google 15 years ago. Christopher S. Penn [14:56]: Google in their employee onboarding says we favor algorithmic thinkers. Someone who doesn’t say, I’m going to solve this problem. Somebody who thinks, how can I write an algorithm that will solve this problem forever and make it go away and make it never come back? Which is a different way of thinking. Katie Robbert [15:14]: That’s really interesting. Speaker 3 [15:17]: Huh? Katie Robbert [15:18]: I like that. And I feel like. I feel like offline. I’m just going to sort of like. Speaker 3 [15:23]: Make that note for us. Katie Robbert [15:24]: I want to explore that a little bit more because I really, I think that’s a really interesting point. Speaker 3 [15:31]: And. Katie Robbert [15:31]: It does explain a lot around your approach to looking at this. These machines, as you’re describing, sort of the people are bad with the white space. It reminds me of the case study that was my favorite when I was in grad school. And it was a company that at The Time was based in Boston. I honestly haven’t kept up with them anymore. But it was a company called Ideo and ido. One of the things that they did really well was they did basically user experience. But what they did was they didn’t just say, here’s a thing, use it. Let us learn how you’re using the thing. They actually went outside and it wasn’t the here’s a thing, use it. It’s let us just observe what people are doing and what problems they’re having with everyday tasks and where they’re getting stuck in the process. Katie Robbert [16:28]: I remember this is just a side note, a little bit of a rant. I brought this case study to my then leadership team as a way to think differently about how, you know, because were sort of stuck in our sales pipeline and sales were zero and blah, blah. And I got laughed out of the room because that’s not how we do it. This is how we do it. And, you know, I felt very ashamed to have tried something different. And it sort of was like, okay, well that’s not useful. But now fast forward jokes on them. That’s exactly how you need to be thinking about it. Katie Robbert [17:03]: So it just, it strikes me that we don’t necessarily, yes, we need to understand the software, but in terms of our own awareness as humans, it might be helpful to sort of maybe isolate certain parts of your day to say, I am going to be very aware and present in this moment when I’m doing this particular task to see. Speaker 3 [17:31]: Where am I getting stuck, where am. Katie Robbert [17:32]: I getting caught up, where am I getting distracted and then coming back to it? And so I think that’s something we can all do. And it sounds like, oh, that’s so much extra work, I just want to get it done. Well, guess what? Speaker 3 [17:45]: Those tasks that you’re just trying to. Katie Robbert [17:47]: Survive and get through, they are likely the ones that are best candidates for AI. So if we think back to our other framework, the TRIPS framework, which is. Speaker 3 [17:57]: In this list somewhere, here it is. Katie Robbert [18:01]: Found it. Trust, insights, AI trips, time, repetitiveness, importance, pain, and sufficient data. And so if it’s something that you’re doing all the time, you’re just trying to get through, may be a good candidate for AI. You may just not be aware that it’s something that AI can do. And so, Chris, to your point, it could be as straightforward as. All right, I just finished this report. Let me go ahead and just record voice, memo my thoughts about how I did it, how it goes, how often I do it, give it to even something like a Gemini chat and say, hey, I do this process, you know, three times a week. Is this something AI could do for me? Ask me some questions about it and maybe even parts of it could be automated. Katie Robbert [18:50]: Like that to me is something that should be accessible to most of us. You don’t have to be, you know, a high performing engineer or data scientist or you know, an AI thought leader to do that kind of an exercise. Christopher S. Penn [19:07]: A lot of, a lot of the issues that people have with making AI productive for them almost kind of reminds me of waterfall versus agile in the sense of, hey, I need to do this thing. And you know, this is this massive big project and you start digging like, I give up, I can’t do it. As opposed to a more bottom up approach, you go, okay, I do this as possible. What if I can automate just this part? What if I can automate just this part? What if I can do this? And then what you find over time is that then you start going, well, what if I glue these parts together? And then eventually you end up with a system. Now that gets you to V1 of like, hey, this is this janky cobbled together system of the way that I do things. Christopher S. Penn [19:47]: For example, on my YouTube videos that I make myself personally, I got tired of putting just basically changing the text in Canva every video. This is stupid. Why am I doing this? I know image magic exists. I know this library, that library exists. So I wrote a Python script, said, I’m just going to give you a list of titles. I’m going to give you the template, the placeholder, I’ll tell you what font to use, you make it. This is not rocket surgery. This is not like inventing something new. This is slapping text on an image. And so now when I’m in my kitchen on Sundays cooking, I’ll record nine videos at a time. AI will choose the titles and then it will just crank out the nine images. And that saves me about a half an hour of stupid typing, right? Christopher S. Penn [20:33]: That stupid typing is not executive function. I’m not outsourcing anything valuable to AI. Just make this go away. So if you think and you automate little bits everywhere you can and then you start gluing it together, that gets you to V1. And then you take a step back and go, wow, V1 is a hot mess of duct tape and chewing gum and bailing wire. And then that you say to with, in partnership with your AI, reverse engineer the requirements of this janky system that we’ve made to A requirements document. And then you say, okay, now let’s build v2, because now we know what the requirements are. We can now build V2 and then V2 is polished. It’s lovely. Like my voice transcription system V1 was a hot mess. Christopher S. Penn [21:16]: V2 is a polished app that I can run and have running all the time and it doesn’t blow up my system anymore. But in terms of thinking about how we apply AI and the sort of AI mindset, that’s the approach that I take. It’s not the only one by any means, but that’s how I think about this. So when someone says, hey, open call is here, what’s the first thing I do? I go to the GitHub repo, I grab a copy of it, make a copy of it, because stuff vanishes all the time. And then I dive in with an AI coding tool just to say, explain this to me what’s in the box. Christopher S. Penn [21:53]: If you are a more technical person, one of the best things that you can do in a tool like Claude code is say, build me a system diagram, analyze the code base and build me system. Don’t make any changes, don’t do anything, just explain the system to me and you’ll look at it and go, oh, that’s what this does. When I’m debugging a particularly difficult project, every so often I will say, hey, make a system diagram of the current state and it will make one. And I’ll be like, well, where’s this thing? It’s like, oh yeah, that should be there. I’m like, yeah, no kidding it should be there. Would you please go and fix that? But having to your point, having the self awareness to take a step back and say show me the system works really well. Christopher S. Penn [22:39]: If you want to get really fancy, you could screen record you doing something, load that to a system like Gemini and say, make me a process diagram of how I do this thing. And then you can look at it with a tool like Gemini because Gemini does video really well and say, how could I make this more efficient? Katie Robbert [22:59]: I think that’s a really good entry point for most of us. Most machines, Macs and PCs come with some sort of screen recorder built in. There’s a lot of free tools, but I think that’s a really good opportunity to start to figure out like, is this something that I could find efficiencies on? Speaker 3 [23:19]: Do I even have documentation around how I do it? Katie Robbert [23:22]: If not, take this video and create some and then I can look at it and go, oh, that’s not right. The thing I want to reinforce, you know, as we’re talking about these autonomous, you know, virtual assistants, executive assistants, you know, these bots that are going to take over the world, blah, blah. You still need human intervention. So, Chris, as you were describing, the process of having the system create the title cards for your videos, I would imagine, I would hope, I would assume that you, the human reviews all of the title cards ahead of, like, before posting them live, just in case you got on a particular rant in one video, it was profanity laced and the AI was like, oh, well, Chris says this particular F word over and over again, so it must be the title of the video. Katie Robbert [24:14]: Therefore, boom, here’s title card. And I’m just going to publish it live. I would like to believe that there is still, at least in that case, some human intervention to go. Oh, yeah, that’s not the title of that video. Let me go ahead and fix that. And I think that’s. Go ahead. Christopher S. Penn [24:29]: There isn’t human intervention on that because there’s an ideal customer profile that is interrogated as part of the process to say, would the ICP like this? And the ICP is a business professional. And so, you know, I’ve had it say, the ICP would not like this title and it will just fix itself. And I’m like, okay, cool. So you, to your point, there was human intervention at some point, and then we codified the rules with an ideal customer profile. Say, this is what the audience really wants. Katie Robbert [24:54]: And I think that’s okay. Speaker 3 [24:56]: I think you at least need to. Katie Robbert [24:57]: Start with that for V1. You should have that human intervention as the QA. But to your point, as you learn, okay, this is my ideal customer, and this is what they want. This is the feedback that I’ve gotten on everything. Take all of that feedback, put it into a document and say, listen to this feedback every time you do something. Make sure we’re not continually making the same mistakes. So it really comes down to some sort of a QA check, a quality assurance check in the process before you just unleash what the machines create to the public. Christopher S. Penn [25:31]: Exactly. So to wrap up Open Claw, Claudebot, Multbot, slash, whatever they want to call it this week is by itself not something I would recommend people install. But you should absolutely be thinking about, what does a semi autonomous or fully autonomous system look like in our future, how will we use it? And laying the groundwork for it by getting your own AI mindset in place and documenting the heck out of everything that you do so that when a production ready system like that becomes available, you will have all the materials ready to make it happen and make it happen safely and effectively. Christopher S. Penn [26:09]: If you’ve got some thoughts or hey, you installed open claw and burned down your computer pot, drop by our free slot group Go to trust insights AI analytics for marketers where you and over 4,500 marketers are asking and answering each other’s questions every single day. And wherever it is you watch, listen to the show. If there’s a channel you’d rather have it on, said go to Trust Insights AI TI Podcast. You can find us all the places fine podcasts are served. Thanks for tuning in to talk to you on the next one. Speaker 3 [26:40]: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence and machine learning to empower businesses with actionable Insights. Founded in 2017 by Katie Robert and Christopher S. Penn, the firm is built on the principles of truth, acumen and prosperity. Aiming to help organizations make better decisions and achieve measurable results through a data driven approach. Trust Insight specializes in helping businesses leverage the power of data, artificial intelligence and machine learning to drive measurable marketing roi. Trust Insight services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Speaker 3 [27:33]: Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation and high level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google, Gemini, Anthropic, Claude Dall? E, Midjourney Stock, Stable Diffusion and metalama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In Ear Insights Podcast, the Inbox Insights newsletter, the so what Livestream webinars and keynote speaking. What distinguishes Trust Insights in their focus on delivering actionable insights, not just raw data, Trust Insights are adept at leveraging cutting edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Speaker 3 [28:39]: Data Storytelling this commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data driven. Trust Insights champions ethical data practices and transparency in AI sharing knowledge widely whether you’re a Fortune 500 company, a mid sized business or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance and educational resources to help you navigate the ever evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

At just ten years old, Kim Storin was writing letters to CEOs, asking for donations and clearly outlining why her cause mattered. That instinct to connect people, solve problems, and step forward without permission never left her. Years later, as Chief Marketing Officer at Zoom, that same mindset shapes how she leads one of the most trusted brands in modern work. In this episode, Kim joins Ilana to share Zoom's evolution from a single, iconic product into a broad portfolio of solutions, and what it takes to reinvent a brand the world already relies on without losing trust. Kim Storin is the Chief Marketing Officer at Zoom and a seasoned marketing leader with experience spanning consulting, enterprise transformation, and global brand leadership. She has held senior leadership roles at companies including Dell, IBM, and Deloitte. In this episode, Ilana and Kim will discuss: (00:00) Introduction  (03:44) Making Bold Requests at Age Ten (06:28) Problem Solving as Her Career Compass (14:53) Receiving the Hardest Feedback of Her Career (17:40) Athletic Pursuits and Influence on Leadership (20:50) Joining Zoom and Leading Its Transformation (23:38) How Zoom Reinvented and Repositioned Itself (27:12) The New Era of Marketing and How to Stay Ahead (30:33) AI as a Teammate, Not a Threat (35:08) Redefining Success Beyond Metrics and Titles (38:30) The Right Way to Build a Portfolio Career Kim Storin is the Chief Marketing Officer at Zoom, where she leads global marketing strategy, brand, and growth as the company evolves into a broader communications platform. Prior to Zoom, Kim held senior leadership roles at companies including Dell, IBM, Deloitte, and multiple high-growth organizations. She is also a lifelong athlete, marathon runner, and is passionate about building the next generation of market leaders. Connect with Kim: Kim's LinkedIn: linkedin.com/in/kimberlystorin  Resources Mentioned: Zoom: https://www.zoom.com  Leap Academy: LeapCon is the #1 Conference for Reinvention, Leadership & Career — a powerful 3‑day experience designed to help you unlock what's next in your career and life.

Kris Beevers is the CEO at NetBox Labs, working on turning NetBox into the system of record and automation backbone for modern and AI-driven infrastructure.Speed and Scale: How Today's AI Datacenters Are Operating Through Hypergrowth // MLOps Podcast #359 with Kris Beevers, CEO of NetBox LabsJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// AbstractHundreds of neocloud operators and "AI Factory" builders have emerged to serve the insatiable demand for AI infrastructure. These teams are compressing the design, build, deploy, operate, scale cycle of their infrastructures down to months, while managing massive footprints with lean teams. How? By applying modern intent-driven infrastructure automation principles to greenfield deployments. We'll explore how these teams carry design intent through to production, and how operating and automating around consistent infrastructure data is compressing "time to first train".// BioKris Beevers is the Co-founder and CEO of NetBox Labs. NetBox is used by nearly every Neocloud and AI datacenter to manage their networks and infrastructure. Kris is an engineer at heart and by background, and loves the leverage infrastructure innovation creates to accelerate technology and empower engineers to do their best work. A serial entrepreneur, Kris has founded and helped lead multiple other successful businesses in the internet and network infrastructure. Most recently, he co-founded and led NS1, which was acquired by IBM in 2023. He holds a Ph.D. in Computer Science from Rensselaer Polytechnic Institute and is based in New Jersey.// Related LinksWebsite: https://netboxlabs.com/Coding Agents Conference: https://luma.com/codingagents~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Kris on LinkedIn: /beevek/Timestamps:[00:00] Observability and Delta Analysis[00:26] New World Exploration[04:06] Bottlenecks in AI Infrastructure[13:37] Data Center Optimization Challenges[19:58] Tech Stack Breakdown[25:26] Data Center Design Principles[31:32] Constraints and Automation in Design[40:00] Complexity in Data Centers[45:02] GPU Cloud Landscape[50:24] Data Centers in Containers[57:45] Observability Beyond Software[1:04:43] Tighter Integrations vs NetBox[1:06:47] Wrap up

Today's Corporate Cafecito episode is live, and I'm bringing Marie Quintana back because her journey cannot be contained in a single conversation.In this episode, we go deep into the corporate chapters that shaped her leadership. From choosing systems engineering at IBM before laptops were even a thing, to leading complex transformations at PepsiCo during major acquisitions, to building what became the Multicultural Center of Excellence at a time when multicultural strategy wasn't even part of the business conversation.What makes this conversation powerful isn't the titles. It's the leadership moments we don't talk about enough. The meetings that didn't land. The resistance to change. The fear in the room. And Marie's decision to stay, listen, and meet people one on one because real leadership starts with humanity.We talk about non linear career paths, curiosity as a strategy, and what it means to keep walking into rooms where you are still the only Latina. Doing it afraid. Doing it anyway. Si tú puedes, tú puedes.If your career path hasn't looked the way you thought it would, if you're stepping into something new, or if you've ever wondered whether you're ready, this episode will meet you right where you are.

Burnout isn't just about being tired. It's about a slow erosion of energy, clarity, and joy. In this eye-opening episode, Lauren Baptiste, a burnout coach for professional women, breaks down what burnout really looks like and why it hits high-achieving moms so hard. We explore how mental load, poor boundaries, and perfectionism contribute to burnout and what small shifts can make a big difference. Burnout Prevention Toolkit: https://www.aicpa-cima.com/resources/download/pcps-burnout-prevention-toolkit Enjoyed this episode? Join a network of like-minded women at http://cpamoms.com/start and get the support you need to build the practice you want.   About Lauren Baptiste Lauren Baptiste is reshaping the future of work with a simple strategy: prioritize yourself to effectively meet your professional KPIs. With over 13 years of corporate experience, she founded Acheloa Wellness, a coaching and consulting firm helping professionals in accounting, bookkeeping, consulting, and finance overcome burnout and advance their careers without compromise. Lauren's methodology supports clients in reducing burnout in six months or less while gaining more fulfillment at work and more time at home. As a sought-after speaker and consultant on burnout, mindfulness, and women in leadership, Lauren has worked with global organizations like IBM, EY, the NFL, Estee Lauder, and the United Nations. Her insights have been featured in Forbes, CNBC, Thrive Global, and more. Website: https://www.acheloawellness.com  

Carl Quintanilla, Jim Cramer and David Faber engaged in a wide-raging discussion about better-than-expected quarterly results from "Magnificent 7" tech giants Meta Platforms, Tesla and Microsoft. Shares of Meta surged as its plans for AI overshadowed concerns about a boost in capex. Tesla also saw its shares rise: The anchors reacted to the electric vehicle maker's decision to shelve the "Model S" and "Model X" — and shift toward producing robots. Microsoft shares tumbled on slowing cloud growth and a boost in AI spending. Honeywell CEO Vimal Kapur joined the program to discuss earnings, AI and the company's spin-off strategy. Also in focus: IBM and Caterpillar among the earnings winners, gold and silver hit new all-time highs.Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Tech the story of the day with key reports out of: Meta, Microsoft, Tesla, & IBM... Carl Quintanilla, Sara Eisen, and David Faber broke down all 4 reports - with key color this hour from some of the street's top analysts, a former Tesla Board Member, and even the CEO of IBM himself. Plus: stocks selling off as the first hour of trading rolled along - the key movers to watch, what's driving declines in software, and more with CFRA's Chief Investment Strategist. Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.