Podcasts about genai

In this episode of the Marketecture Podcast, hosts Ari Paparo and Eric Franchi engage with Art Muldoon, Co-Founder of ArcSpan, to discuss the changing landscape of publisher data in ad tech. They explore topics such as leveraging AI to scale first-party data, the evolving future of the open web, and the intricacies of curation and transaction IDs (TIDs), emphasizing how publishers can regain control and succeed in a dynamic environment. The latter part of the episode covers industry updates, including mergers and acquisitions, shifts in DSPs, AI-driven creative tools, legal challenges facing Google, and the completion of the TikTok US deal. Takeaways ArcSpan helps publishers unify data and scale audiences. Publishers should expand beyond logged-in users using AI and surveys. Third-party validation boosts buy-side confidence. The open web is evolving, not dying. Curation can be a revenue opportunity if it is transparent. TIDs raise questions about fairness. M&A shows AI merging with media solutions. DSP competition is intensifying. Agencies are shifting towards AI workflows. Legal pressures on Google are increasing. Chapters00:00 - Ari and Eric introduce Art Muldoon from ArcSpan.02:00 - Explanation of Aggregate, Amplify, Activate.06:30 - Strategies for making 100% of audiences addressable.09:30 - Market caution and publisher pain points discussed.12:00 - How ArcSpan builds confidence on the buy-side.15:00 - Is it an opportunity or are margins being siphoned?17:00 - Comparing gaming, news, and sports publishers.19:00 - Reformulation, AI's role, and the future of publishing.21:00 - TIDs, Prebid, and the risks of arbitrage.25:00 - Partnerships: Rembrandt + Spaceback, Verve + Captify.30:00 - Amazon's GenAI tools and Yahoo's discount strategy vs. TTD.35:00 - Agency transformation insights.38:00 - Privacy remedies and lawsuits involving Magnite & Pubmatic.42:00 - Discussion on a US-led governance framework.45:00 - Reflections and a preview of next week. Learn more about your ad choices. Visit megaphone.fm/adchoices

Back to school and back to work! Tech lifestyle expert Carley Knobloch joins us to share some great Fall tech pics for the entire familyShould teachers allow genAI in the classroom? Tony Anscombe, Chief Security Evangelist with ESET, says “yes” -- and explains whyLife-saving communications tech during natural disasters and other emergencies – we'll learn all about Verizon Frontline with its VP, Cory DavisI'll share some thoughts on the Apple AirPods Pro 3. In a word? Wow.Thank you to Visa and Sandisk for your support!

En este episodio de TekPulse exploramos cómo la inteligencia artificial generativa puede convertir a México en potencia tecnológica regional y qué retos debemos superar para lograrlo. Además, hablamos de las nuevas gafas Ray-Ban Display de Meta, el avance de YouTube con herramientas de IA para creadores, el router cuántico de Stanford, y la histórica alianza entre Intel y NVIDIA para crear procesadores de nueva generación. No te pierdas este repaso de lo más relevante en tecnología, innovación y futuro digital. ________________________________ Este es nuestro programa de Radio que se transmite todos los Viernes a las 10:30am con repetición todos los Domingos a las 8pm por Radio Sinaloa en las frecuencias 94.5 FM de Culiacán, 92.5 FM de Los Mochis y 93.9 FM de Mazatlán. TikTok: https://www.tiktok.com/@tekpulseX: x.com/tekpulsetvFacebook: www.facebook.com/tekpulsetvInstagram: www.instagram.com/tekpulsePodcast: https://tekpulsetv.podomatic.com/rss2.xml

There's a battle brewing in the workplace between Gen Z and Gen AI, and if we don't get ahead of it, we might end up with a workforce that can't actually think.In this episode, I break down how this collision is creating three specific challenges for managers and business owners - and why the solution isn't what you think.In This Episode:The real reason entry-level jobs are disappearing (and it's not just automation)Why Gen Z workers are accidentally skipping critical learning momentsHow overusing AI is backfiring for both employees and managersThe training approach that turns this challenge into your team's biggest advantageWhy teaching people to think is more valuable than ever**Need support for yourself as a leader or to uplevel your team? Reach out at hello@liagarvin.com

Everyone's excited about GenAI — but building real, reliable agents? That's where it gets tricky. I chatted Holly Smith and Nick Karpov from Databricks at the Data + AI Summit on The Ravit Show to talk about the tools that are actually making agentic AI work in the enterprise.We covered two big launches:

Künstliche Intelligenz in Form von Chatbots ist längst Teil unseres Alltags. Wie nutzt man sie sinnvoll? Das wichtigste sei, die Limitierungen zu lernen, sagt KI-Expertin Barbara Lampl: "Wir sollten schon noch wissen, dass es sich um Maschinen handelt." Von WDR 5.

During this episode, Santosh is joined by Pedro Neto, a supply chain data scientist at HP. Pedro discusses the real-world impact of generative AI on supply chain management. The conversation also explores practical opportunities for AI adoption, common challenges like model drift and data security, and the importance of starting with small, high-impact use cases. Pedro emphasizes the need for robust model evaluation, strong data governance, and empowering teams with accessible AI tools. Listeners will gain actionable insights on how to approach AI implementation, avoid common pitfalls, foster a culture of innovation within their organizations, and so much more.Highlights from their conversation include:Pedro's Introduction & Background (0:41)Opportunities and Challenges of Generative AI (3:00)AI Fatigue Among Practitioners (5:15)Prioritizing Gen AI in Supply Chain (7:39)Best Use Cases for Gen AI (10:28)Concrete Examples of Gen AI Impact (13:30)Handling Model Drift and Evaluation (16:45)Data Security and Governance in Gen AI (19:13)Keys to Successful AI Adoption (21:27)Rapid Fire: Overhyped AI, Irrelevant KPIs, and Dream Tools (23:26)Final Thoughts and Takeaways (25:37)Dynamo is a VC firm led by supply chain and mobility specialists that focus on seed-stage, enterprise startups.Find out more at: https://www.dynamo.vc/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Very few people get paid to visit shipwrecks—but for Stephanie Gandulla, it's all part of the job. Stephanie is a scuba diver, maritime archeologist, and resource protection coordinator for the Thunder Bay National Marine Sanctuary. The agency safeguards Lake Huron's historic shipwrecks, many of which have yet to be discovered. That's where Katie Skinner comes in. She's an assistant professor at the University of Michigan and the director of the school's Field Robotics Group. Skinner and her team have been developing autonomous underwater vehicles that can find new shipwreck sites, all on their own. For humans, a search is costly, time-consuming, manual work. But for AI? Skinner thinks it could help us find answers in a snap. On this episode, Stephanie and Katie talk about using AI to find shipwrecks in a literal lake of data, so that they can spend less time searching and more time exploring—as only humans can do.You can learn more about some of the people and projects featured in this episode, including… The Thunder Bay National Marine Sanctuary at thunderbay.noaa.govKatie Skinner and the University of Michigan's Field Robotics Group at fieldrobotics.engin.umich.eduPrevious efforts to autonomously map Thunder Bay's historical shipwrecks at theverge.com/2020/3/5/21157791/drone-autonomous-boat-ben-shipwreck-alley-unh-noaa-great-lakes-thunder-bay~ ~ ~Working Smarter is brought to you by Dropbox Dash—the AI universal search and knowledge management tool from Dropbox. Learn more at workingsmarter.ai/dashYou can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.aiThis show would not be possible without the talented team at Cosmic Standard: producer Dominic Girard, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrators Justin Tran and Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck. Our theme song was composed by Doug Stuart. Working Smarter is hosted by Matthew Braga. Thanks for listening!

In this episode, Professor Stephen Goldsmith speaks with Dr. Andrew Schroeder of Direct Relief and CrisisReady. They discuss how cities can break down data silos and build integrated, actionable platforms to better respond to public health and environmental emergency. Schroeder explains the role of emerging technologies like AI and cloud data platforms, the importance of recruiting data talent in city government, and practical frameworks for connecting health and environmental data. He also previews a joint workshop on urban heat crises, highlighting the need for simulation, coordination, and a people-centered approach to data-driven disaster management.Music credit: Summer-Man by KetsaAbout Data-Smart City SolutionsData-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on Twitter. 

Meta leaked its monocular smartglasses ahead of Meta Connect 2025, and Dr. Niki talks all about Robot Antelopes.Starring Jason Howell, Tom Merritt, and Dr. Niki.Links to stories discussed in this episode can be found here. Hosted on Acast. See acast.com/privacy for more information.

If your kid's college is still banning AI.....they're not gonna make it ☠️↳ Not allowing students to use ChatGPT? It'll be a useless degree. ↳ Using 'AI detectors' to police LLMs? Better to transfer now. ↳ Haven't ripped up their 2022 curriculum yet? That university is on death watch. I've been holding this in for a bit. Time for some hot takes.

All links and images can be found on CISO Series. This week's episode is hosted by David Spark, producer of CISO Series and Andy Ellis, principal of Duha. Joining us is our sponsored guest, Brian Long, CEO, Adaptive Security. In this episode: Hiring North Korean operatives on a Tuesday AI coding and the death of specifications Deepfake personas beyond video calls The middleman problem with SMS Huge thanks to our sponsor, Adaptive Security AI-powered social engineering threats like deepfake voice calls, GenAI phishing, and vishing attacks are evolving fast. Adaptive helps security leaders get ahead with an AI-native platform that simulates realistic genAI attacks, and delivers expert-vetted security awareness training — all in one unified solution.   And now, with Adaptive's new AI Content Creator, security teams can instantly transform breaking threat intel or updated policy docs into interactive, multilingual training — no instructional design needed. That means faster compliance, better engagement, and less risk. Trusted by Fortune 500s and backed by Andreessen Horowitz and the OpenAI Startup Fund, Adaptive is helping security teams prepare for the next generation of cyber threats. Learn more at adaptivesecurity.com.  

This week, we chat with Scott Clinton, board member and co-chain of the OWASP GenAI Security Project. This project has become a massive organization within OWASP with hundreds of volunteers and thousands of contributors. This team has been cranking out new tools, reports and guidance for practitioners month after month for over a year now. We start off discussing how Scott and other leaders have managed to keep up with the crazy rate of change in the AI world. We pivot to discussing some of the specific projects the team is working on, and finally discuss some of the biggest AI security challenges before wrapping up the conversation. If you're neck-deep in AI like we are, I highly recommend checking out this conversation, and consider joining this OWASP project, sponsoring them, or just checking out what they have to offer (which is all free, of course). Segment Resources: Get started with the OWASP GenAI Security Project Register for the GenAI Application Security & Risk Summit on October 9th, 11am - 4pm EST This segment is sponsored by The OWASP GenAI Security Project. Visit https://securityweekly.com/owasp to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-348

In this Diving Deep episode of Fixing Healthcare, cohosts Dr. Robert Pearl and Jeremy Corr explore two urgent shifts reshaping the patient-doctor relationship in American medicine. First, they tackle a ... The post FHC #188: Why younger patients turn away from doctors & toward GenAI appeared first on Fixing Healthcare.

A phased Gen AI learning approach ensures smooth adoption, boosts productivity, and builds a culture of innovation through tailored training, feedback loops, and strategic scaling. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about why your company's survival hinges on this Gen AI learning tactic.This article forms the basis for this episode: https://disasteravoidanceexperts.com/your-companys-survival-hinges-on-this-gen-ai-learning-tactic/

A major antitrust ruling leaves Google with Chrome intact but requires limited data sharing with competitors, while Apple continues to benefit from billions in Google search placement payments. The panel of Chuck Joiner, David Ginsburg, Eric Bolden, Jim Rea, Jeff Gamet, Marty Jencius, and Mark Fuccio debates whether remedies punish innovation, investor reactions to the news, and privacy issues around smart TVs with AI assistants. They close with lighter takes on Clippy's unlikely return as a protest symbol.  This MacVoices is supported by OpenCase. MagSafe Perfected. Use the code “macvoices” to save 10% at TheOpenCase.com Show Notes: Chapters: [0:00] Google avoids breakup in antitrust ruling[1:30] Chrome stays, concessions required[2:30] Apple keeps billions from Google search deal[3:50] Investor reaction and stock impact[5:10] Broader antitrust implications[7:40] DOJ and Google appeals expected[10:00] Data sharing debate: free vs. fee[14:15] DOJ concerns over GenAI and search[15:40] Copilot AI blob arrives on Samsung TVs[17:25] Comparing AI assistants on Apple TV vs smart TVs[19:15] Privacy risks of AI-driven TVs[23:05] Second screen vs locked-in TV use[26:00] Clippy's return as protest icon[30:20] Panel sign-offs and closing Links: Microsoft Copilot is now a talking blob on Samsung TVshttps://www.engadget.com/ai/microsoft-copilot-is-now-a-talking-blob-on-samsung-tvs-204115199.html Clippy Is Back As A Mascot For Big Tech Protestshttps://www.fastcompany.com/91387927/clippy-is-back-as-a-mascot-for-big-tech-protests  Guests: Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Mark Fuccio is actively involved in high tech startup companies, both as a principle at piqsure.com, or as a marketing advisor through his consulting practice Tactics Sells High Tech, Inc. Mark was a proud investor in Microsoft from the mid-1990's selling in mid 2000, and hopes one day that MSFT will be again an attractive investment. You can contact Mark through Twitter, LinkedIn, or on Mastodon. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

This week, we chat with Scott Clinton, board member and co-chain of the OWASP GenAI Security Project. This project has become a massive organization within OWASP with hundreds of volunteers and thousands of contributors. This team has been cranking out new tools, reports and guidance for practitioners month after month for over a year now. We start off discussing how Scott and other leaders have managed to keep up with the crazy rate of change in the AI world. We pivot to discussing some of the specific projects the team is working on, and finally discuss some of the biggest AI security challenges before wrapping up the conversation. If you're neck-deep in AI like we are, I highly recommend checking out this conversation, and consider joining this OWASP project, sponsoring them, or just checking out what they have to offer (which is all free, of course). Segment Resources: Get started with the OWASP GenAI Security Project Register for the GenAI Application Security & Risk Summit on October 9th, 11am - 4pm EST This segment is sponsored by The OWASP GenAI Security Project. Visit https://securityweekly.com/owasp to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-348

Episode Info Rob Galbraith is the founder and CEO of Forestview Insights and is the author of the international bestselling book, The End of Insurance As We Know It. Rob is an award-winning speaker who has shared his unique insights at numerous events around the globe on the topics of innovation, insurtech, and the future of insurance. Rob has over 25 years of experience in the financial services industry in a variety of innovation and leadership positions at AF Group, USAA, and the Federal Reserve Board.  Episode Highlights The interview with Rob Galbraith at the 2025 PLRB Innovation Summit covers several key topics related to innovation in the insurance industry. Rob Galbraith, the founder and CEO of Forestview Insights, discusses his role in consulting and training traditional companies, particularly in the insurance sector, to foster a culture of innovation. Key points from the interview include: Building a Culture of Innovation: Rob emphasizes the importance of creating a sustainable culture of innovation within companies, which goes beyond the efforts of a single leader or project. He highlights that innovation should be treated as a discipline similar to underwriting or actuarial science. Challenges in Innovation: He acknowledges the difficulties companies face in maintaining innovation, particularly in aligning IT projects with business needs. Rob shares his experiences with core system projects and the challenges of implementing new systems that meet business requirements. Role of AI: The discussion touches on the potential of AI to address technical debt and streamline processes in the insurance industry. Rob shares insights on how AI can help in summarizing regulatory documents and customizing systems without extensive manual programming. Long-term Perspective in Insurance: Rob discusses the long-term nature of the insurance business and how this perspective can be advantageous for innovation. He suggests that the industry's focus on long-term outcomes could support a more thoughtful approach to innovation. Overall, the interview provides valuable insights into the strategies and challenges of fostering innovation in the insurance industry, with a focus on the role of leadership, culture, and technology. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.

A major antitrust ruling leaves Google with Chrome intact but requires limited data sharing with competitors, while Apple continues to benefit from billions in Google search placement payments. The panel of Chuck Joiner, David Ginsburg, Eric Bolden, Jim Rea, Jeff Gamet, Marty Jencius, and Mark Fuccio debates whether remedies punish innovation, investor reactions to the news, and privacy issues around smart TVs with AI assistants. They close with lighter takes on Clippy's unlikely return as a protest symbol. This MacVoices is supported by OpenCase. MagSafe Perfected. Use the code “macvoices” to save 10% at TheOpenCase.com Show Notes: Chapters: [0:00] Google avoids breakup in antitrust ruling [1:30] Chrome stays, concessions required [2:30] Apple keeps billions from Google search deal [3:50] Investor reaction and stock impact [5:10] Broader antitrust implications [7:40] DOJ and Google appeals expected [10:00] Data sharing debate: free vs. fee [14:15] DOJ concerns over GenAI and search [15:40] Copilot AI blob arrives on Samsung TVs [17:25] Comparing AI assistants on Apple TV vs smart TVs [19:15] Privacy risks of AI-driven TVs [23:05] Second screen vs locked-in TV use [26:00] Clippy's return as protest icon [30:20] Panel sign-offs and closing Links: Microsoft Copilot is now a talking blob on Samsung TVshttps://www.engadget.com/ai/microsoft-copilot-is-now-a-talking-blob-on-samsung-tvs-204115199.html Clippy Is Back As A Mascot For Big Tech Protestshttps://www.fastcompany.com/91387927/clippy-is-back-as-a-mascot-for-big-tech-protests  Guests: Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Mark Fuccio is actively involved in high tech startup companies, both as a principle at piqsure.com, or as a marketing advisor through his consulting practice Tactics Sells High Tech, Inc. Mark was a proud investor in Microsoft from the mid-1990's selling in mid 2000, and hopes one day that MSFT will be again an attractive investment. You can contact Mark through Twitter, LinkedIn, or on Mastodon. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Alpha: Clash Royale 5x Revenue, Understanding the Illegible Margin GameDev: The Problem with Product ValidationHappy MAG-nificent Monday!3-Macro: 3 stories impacting the competitive environment in which we operateHike shuts down after India RMG banWhy GenAI is failingAmazon and Netflix announce Gaming+Streaming bundle2-Alpha: 2 potential sources of Finding AlphaClash Royale hits 3 year all-time highs… how?The Illegible Margin (by Taylor Pearson)1-Game Dev: 1 lesson learned from getting my ass kicked in game devThe Problem with Product Validation

In this episode of HFS Unfiltered Stories, Saurabh Gupta, President of Research and Advisory Services at HFS Research, sits down with Jay Desai, Head of IT Infrastructure Operations at JTI, for an eye-opening conversation on bridging the often-disconnected worlds of business, IT, and cybersecurity. Jay shares hard-earned lessons from leading Global Business Services (GBS) through geopolitical shocks, shifting into IT and cyber leadership, and navigating the GenAI hype with realism and grit. This is a rare look into what it really takes to drive enterprise transformation, from aligning C-suite incentives to overcoming organizational resistance. Whether you're scaling GenAI or building connected enterprise models, this conversation is full of truth bombs, leadership insights, and the kind of wisdom that only comes from being on both sides of the transformation divide. Key discussion points:Breaking Functional Silos: Why IT, GBS, and cybersecurity leaders must adopt a shared vision to enable true enterprise-wide transformation.The Moral Hazard in Transformation: How misaligned ownership of costs vs. benefits creates friction between business and IT, and how to solve it.Why the 'OneOffice' Vision Still Eludes Us: The challenge of aligning incentives and OKRs across finance, IT, and HR departments.GenAI: From Hype to Reality: Why GenAI is stuck in POC purgatory, and what leaders must fix to unlock real value.Enterprise ‘Debts' Beyond Technology: Cultural, process, and people debt are just as critical as technical debt in holding back transformation.Leadership Lessons in the AI Era: Jay's real-world advice to aspiring leaders, embrace failure, earn trust, and be unapologetically authentic.Tune in now to hear what it really takes to lead across silos—and why the future belongs to those who can connect dots others can't.

Microsoft and OpenAI are kinda breaking up.

In this episode, we will dive deep into Innovation Sandbox on AWS, a new AWS solution offering that transforms the management of temporary sandbox environments, by offering a ready-made solution that enables customers to reduce sandbox setup time from weeks to hours while automating spend controls, security policies, and usage monitoring. Learn how AWS customers – from Universities to Enterprises – are using the Innovation Sandbox on AWS to empower their teams to learn, experiment, and innovate faster on AWS. Product page: https://aws.amazon.com/solutions/implementations/innovation-sandbox-on-aws/ Implementation Guide: https://docs.aws.amazon.com/solutions/latest/innovation-sandbox-on-aws/solution-overview.html Source code on GitHub: https://github.com/aws-solutions/innovation-sandbox-on-aws

Gamification boosts engagement, retention, and real-world application, making Gen AI training more effective, collaborative, and motivating for employees. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about the secret to making generative AI training addictive.This article forms the basis for this episode: https://disasteravoidanceexperts.com/the-surprising-secret-to-making-gen-ai-training-addictive/

Episode 396 of The VentureFizz Podcast features Alasdair McLean-Foreman, CEO & Founder of Teikametrics. It's another repeat guest! I think I'm up to 5 repeat guests on The VentureFizz Podcast and just like the 5-times club on Saturday Night Live, I might have to start thinking about getting some custom jackets made up for our repeat guests because they must be on to something special! Take Alasdair, who… five years ago, back on Episode 153, shared some predictions around eCommerce that were mostly spot on. So, I was eager to get his point of view on what's next especially in this radically evolving world of AI which we discuss at the beginning of our interview. He has an interesting perspective as he was one of the first third-party sellers on Amazon and his company, Teikametrics, has a front row seat as the AI marketplace optimization platform for leading brands. There's a lot that we had to catch up on like their new patented GenAI technology that has the opportunity to shake up how brands scale on platforms like Amazon, Walmart, TikTok Shop, and Shopify. He also recently brought on Sandie Hawkins, the former Head of TikTok Shop as the company's President to help scale to the next level. We cover all of these topics and more!

“Segmentation is powerful, but complexity is the enemy of reliability. That's why resilience has to be part of the zero-trust conversation.” — Mitch Densley, Principal Solutions Architect, Opengear Mitch Densley, Principal Solutions Architect at Opengear, joined Doug Green, Publisher of Technology Reseller News, to explore why Zero Trust cannot stand alone—and how organizations can achieve true resilience with Smart Out-of-Band™ management. With deep expertise in cybersecurity and network architecture, Densley is known for turning complex security concepts into practical strategies. He frequently speaks on securing AI and GenAI environments, highlighting the unique demands of today's computing landscape. Defining Zero Trust Densley framed Zero Trust as the “evolution of defense in depth”—breaking flat networks into smaller, segmented zones to limit the blast radius of breaches or misconfigurations. “It's like shrinking a room full of tinder into smaller compartments with fireproof doors,” he explained. But he emphasized that segmentation alone increases complexity, which can compromise reliability and availability. Why Zero Trust is Only Half the Solution “When critical segments fail, access to shared services like authentication may be lost, effectively bringing everything down,” Densley said. Zero Trust reduces exposure, but without resilience, organizations remain vulnerable to outages caused by malware, insider threats, or human error. Opengear's Smart Out-of-Band Approach Opengear closes this gap with Smart Out-of-Band™ (Smart OOB), a secure management plane independent of the production network. Combined with cellular failover, Smart OOB ensures: Continuous access during outages or breaches Remote investigation, forensics, and remediation without waiting for on-site staff Logging and visibility even when the production network is unavailable “Instead of putting people in cars or planes, you remote in through Opengear and put hands on the keyboard instantly,” Densley said. Real-World Impact Densley recounted a global cybersecurity incident where Opengear customers were able to isolate compromised systems, collect forensic data, and redeploy devices remotely. For those without out-of-band access, outages stretched into days or weeks. “Getting breached happens. Rarely will you be blamed for that alone,” he noted. “It's how quickly and effectively you respond that separates the prepared from the unprepared.” Enabling SD-WAN Rollouts Opengear also simplifies SD-WAN deployments. Without out-of-band visibility, teams are left “crossing their fingers” during cutovers. With Smart OOB, engineers can make small configuration changes remotely, turning multi-day rollout challenges into minutes-long adjustments. The Bottom Line Zero Trust remains a vital pillar of security, but on its own it does not guarantee resilience. By pairing segmentation with Smart Out-of-Band management, organizations can contain threats while ensuring they can respond quickly and effectively to any outage or breach. Learn more about Opengear's approach at opengear.com.

A new Oxford Economics report reveals a startling reality: since mid‑2023, 85% of the rise in unemployment has come from recent college grads — and AI is a central driver. We lay out the data, name the real culprits (outdated university policies and short‑term public‑company playbooks), and give clear, practical steps the younger generation can take to avoid a lost generation of talent.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI's Impact on Graduate UnemploymentUniversity AI Skills GapCorporate AI Quiet Firing TrendFuture Workforce and AI IntegrationStructural Collapse in Entry-Level HiringGreedy Fortune 500 CEO PracticesTransformation in Knowledge WorkParental Actions for AI EducationTimestamps:00:00 AI Impact on Recent Grad Jobs03:06 AI's Impact on Job Market06:09 Tech Shift Fuels Grad Unemployment10:25 Higher Education's Imminent Decline14:48 Innovation Stifled by Educational Leaders18:06 "Changing Employment Reality"21:57 Delayed Impact in Higher Education25:18 "Urgent Need for AI Policies"26:15 "Faculty: AI Literacy Resources Lacking"29:31 Rethinking Private Company Practices33:17 Embrace AI: Unlearn and Innovate37:43 Demand AI in Education42:17 AI Tools and Job Search Insights45:05 "Consider Transferring if AI Banned"47:23 Call Out Corporate GreedKeywords:AI unemployment, recent grads, Oxford Economics study, AI skills, universities banning AI, quiet firing, entry-level job crisis, structural shift, tech sector, workforce future, economic wheel, AI job displacement, societal shift, business leaders, recent college graduates, job placement rate, higher education, greedy CEOs, job prospects, new jobs creation, AI literacy, knowledge commoditization, generalist skills, private companies, public company playbook, baby boomer exit, silver tsunami, IP unlearning, micro credentialing, AI policy, employment prospects, Federal Reserve, slowing economy, accelerating inflation, job search shifting, higher education failure, educational leaders, business professionals, actionable information, thrive in job market, company growth, generative AI for growth, zig-zag opportunity, commoditized knowledge work, AI collaboration, recent grad card, parents' role in AI educationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Dave Burnett is the CEO and Founder of AOK Marketing, a digital marketing agency specializing in AI-driven SEO, paid media, and lead generation. AOK Marketing helps companies grow by optimizing their online presence through modern tools and strategies. Dave is a digital transformation expert who has mentored over 1,000 businesses and trained professionals through the Canadian Marketing Association. He previously co-founded Achievers.com, which was acquired for $110 million, and has started multiple other ventures, including PromotionalProducts.com. In this episode… Google's dominance in search is being questioned in the age of AI. With new tools like ChatGPT, Claude, and Perplexity changing how people find information, is traditional SEO becoming obsolete? And how can companies ensure they're still discoverable when clicks are disappearing? Online marketing and AI expert Dave Burnett unpacks the changing landscape of online search and explains why businesses need to look beyond backlinks and keywords. Dave emphasizes that entity authority — how consistently your business is represented online — is now crucial for visibility in AI-driven search. He shares strategies for optimizing websites, tracking prompts, and maintaining your brand's visibility in both traditional and AI-powered search results. Tune in to this episode of the Smart Business Revolution Podcast as John Corcoran interviews Dave Burnett, CEO of AOK Marketing, about the intersection of SEO, AI, and digital marketing strategy. Dave shares insights on entity optimization, tracking AI search performance, and the tools that help him scale faster. The conversation also touches on ABM campaigns, technical SEO, and building AI-friendly web infrastructure.

Jobseeker behavior is changing with Gen AI and social media becoming ever stronger forces of influencers in career choices. However, a lot of recruitment marketing activity is failing to keep up with employers stuck in a rut and not casting the net wide enough or in the right way. Shockingly, many TA teams still lack basic visibility into their recruitment marketing metrics and can't prove ROI to their CFOs. While candidates increasingly use ChatGPT for job searches, few employers have optimized their content for AI discovery, and many career sites still remain conversion killers. So what should employers be doing, and how can they prepare for 2026? My guest this week is Neil Costa, Founder and CEO of HireClicks. In our conversation, Neil reveals the stark reality of where most organizations actually are with their recruitment marketing efforts and offers some valuable advice on how they should be moving forward. In the interview, we discuss: The current challenges in recruitment marketing How employers need to stand out and appeal to a multigenerational audience Overreliance on Indeed and LinkedIn The role of search and social AI optimisation Getting a competitive talent advantage Keeping marketing momentum with reduced budgets The vital importance of metrics and ROI The importance of authenticity Dynamic personalization and the role of career sites What does the future look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

We explore the monumental shift from SEO to GEO (Generative Engine Optimization) as AI platforms like ChatGPT and Perplexity become the new front doors to the internet, fundamentally changing how customers discover businesses online.• Traffic patterns are transforming as users get answers directly from AI without clicking through to websites• Content optimized for AI interpretation requires different approaches than traditional keyword-focused SEO• Organizations must shift from optimizing for keywords to building comprehensive topic frameworks• Users coming from AI platforms are more informed and show higher conversion rates despite lower overall traffic• Measuring success requires new metrics beyond traditional organic traffic numbers• Authority signals are evolving from backlinks to expertise indicators and authoritative source citations• Quality content formatted properly for AI consumption can be picked up and highlighted within days• Forward-thinking brands are experimenting with FAQ formats and structured content that AI models prefer• The future belongs to specialists who demonstrate deep expertise in specific niches• Human oversight remains essential to prevent recursive loops of "AI generating content for AI"The digital landscape is experiencing its most significant transformation since the rise of Google, as AI platforms like ChatGPT and Perplexity increasingly become users' first stop for information. This fundamental shift challenges everything we thought we knew about digital visibility.In this eye-opening discussion, we decode the evolution from traditional SEO to what experts variously call GEO (Generative Engine Optimization), AEO, or AIO. Our guests Rishi Mallik, Chief Growth Officer at Workato, and Eric Nalbone, client strategy lead at Position2, share frontline insights into how this transition is reshaping marketing strategies and customer journeys.The conversation reveals how forward-thinking organizations are adapting to a world where traffic patterns are dramatically changing. Rishi describes seeing approximately 20% of Workato's traffic now self-reported as coming from generative AI platforms.  Meanwhile, Eric challenges us to reconsider success metrics, asking provocatively: "If revenue is up but traffic is down, isn't that a win for everyone?"We explore the tactical shifts required to thrive in this new environment: moving from keyword-centric content to topic frameworks, optimizing content structure for AI interpretation, and rethinking how authority and expertise signals are communicated. You'll discover why FAQ formats perform well with AI models, how "borrowing authority" through explicit citation differs from traditional backlink strategies, and why creating comprehensive content hubs trumps isolated keyword-targeted pages.Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Rishi Mallik: https://www.linkedin.com/in/rishimallik/Rishi Mallik is currently the Chief Growth Officer at Workato, an AI-driven integration platform that automates workflows across enterprises, recognized as a Gartner and Forrester leader in the automation space. He is an expert in growth marketing and go-to-market strategies, known for his ability to drive rapid transformation and is quickly becoming an expert in democratizing Gen AI within organizations. With over a decade at Workato and prior experience in mobile anWebsite: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

You probably slept on this HUGE AI update. Over the past few days, Google has quietly turned NotebookLM into a powerhouse. (As if it wasn't already.) With new customizations and features, our 2024 Tool of the Year got even more powerful. (Oh… did we mention it's free?!) So, how do you use the new features? And what are some practical use-cases to help you get ahead? Join us and we'll dish. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:NotebookLM Custom Reports Feature OverviewHow to Use NotebookLM Flashcards & QuizzesDynamic Report Suggestions in NotebookLMDedicated Blog Post Report Template in NotebookLMNew Audio Podcast Formats in NotebookLM80+ Language Support for NotebookLM ReportsNotebookLM vs. Gemini/ChatGPT Key DifferencesNotebookLM Studio: Audio, Video, Mind Map ToolsLive Demonstration: NotebookLM Workflow ExamplesReal-World Use Cases for NotebookLM UpdatesTimestamps:00:00 "Revisiting Notebook LM Updates"05:13 "Intentional Use of Notebook LM"08:38 Dynamic Content Suggestions Unveiled09:33 New Audio Overview Formats14:37 Studio Interface Overview & Guide18:39 Missing Templates in Notebook Album20:12 User Engagement After GPT-5 Rollout23:04 Advanced Voice Mode Enhances Translation27:35 "Rerun and Verify: Expert Loop"31:08 AI Features and Skill Preservation34:24 Customizable Executive Podcast Briefings36:24 Consistent Custom Reporting Templates39:03 "Repost to Access Business Use Cases"Keywords:NotebookLM, Google NotebookLM, NotebookLM updates, custom reports, flashcards, quizzes, audio overviews, video overviews, AI-generated podcasts, Gemini 2.5 Flash, grounded in user data, hallucination prevention, dynamic report suggestions, dedicated blog post report, deep dive audio format, brief audio format, critique audio format, debate audio format, 80+ language support, generative AI, AI for business leaders, source-based AI, trust in AI, transparency in AI, AI-powered note-taking, AI learning tools, knowledge retention, meeting transcript analysis, competitive intelligence flashcards, standardized board reports, sales enablement AI, interactive learning AI, personalized AI study tools, AI mind maps, internal business documentation, AI-powered executive summaries, AI-driven quizzes, AI study aids, large language model applications, expert-driven AI, AI organizational tools, unlimited audio overview geneSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode of FP&A Tomorrow, host Paul Barnhurst welcomes Patrick Culkin, the new President and CEO of AFP. Pat shares his thoughts on leadership, professional development, and the evolving role of finance as AFP looks to expand its global reach and support a changing profession. Later in the episode, Paul gives a walk-through of his scenario planning framework using Gen AI, followed by a conversation with Bryan Lapidus about the return of the FP&A Forum, the state of the profession, and what financial professionals need most right now.Patrick Culkin is the President & CEO of the Association for Financial Professionals (AFP), stepping into the role in July 2025 after more than two decades with the organization. He previously served as Executive Vice President and began his AFP journey in Human Resources. Bryan Lapidus, FPAC, is Director of the FP&A Practice at AFP, where he leads thought leadership, education, and community-building for financial planning professionals. With a background in corporate finance and consulting, Bryan is also a certified FPAC holder. Expect to Learn:What drives AFP's mission and how its leadership is preparing for the future of finance.How finance professionals can navigate uncertainty, AI adoption, and rapid change.Why growing a strong professional network is key to career and organizational success.A practical framework for scenario planning and how Gen AI can support it.What to expect from the FP&A Forum and why it's become a must-attend event for finance professionals.Here are a few quotes from the episode:“Everything we do at AFP has to drive the success of the corporate finance professional. That's our North Star.” - Patrick Culkin“Technology is a tool; what really matters is how you use it to drive better business outcomes.” - Bryan Lapidus“Everyone in the company plans, but FP&A is about return on capital; that's what sets us apart.” - Bryan LapidusPatrick Culkin shared a clear and practical outlook on the future of corporate finance. He highlighted the importance of staying connected, continuing to learn, and being ready to adapt as the profession evolves. Together with insights from Bryan Lapidus and Paul Barnhurst, this episode underscores the growing role of finance as a strategic partner in business.Get Certified with the FPAC CredentialEarn the only FP&A credential that proves your expertise and commitment to the profession.Use TheFPAGuy-FPAC for $150 off the ExamUse TheFPAGuy-FPACEPP for $100 off the Exam Prep PlatformLearn more: https://www.thefpandaguy.com/fpa-certificationsAFP FP&A Forum: All insights. Zero spin.March 23 – 25 in IndianapolisThis immersive, three-day event is built for financial professionals, by financial professionals, and it's designed to help you sharpen your skills, stay on top of trends, and connect with peers who understand your challenges.Learn more: https://www.financialprofessionals.org/events/meetings/afp-fp-a-forumFollow FP&A Tomorrow:Newsletter - Subscribe on LinkedIn - https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6957679529595162624 Follow Patrick:LinkedIn -

Dean Teffer of Arctic Wolf reveals how they process 8 trillion weekly security observations to find "a needle in a stack of needles," and breaks down real-world GenAI lessons learned.Topics Include:Dean Teffer, VP of AI at Arctic Wolf, discusses company's GenAI journeyArctic Wolf: decade-old security operations company serving mid-market customers globallyOperates massive security operation center, now launching AI-powered productsAI agent recently identified Black Basta ransomware attack, enabling rapid containmentDean's 15+ years in cybersecurity: traditional ML focused on detectionGenAI breakthrough allows natural language interaction with security modelsArctic Wolf processes 8 trillion weekly observations, correlating suspicious activitiesChallenge: finding specific threats in "stack of needles," not haystackSuccess measured by making human analysts faster, more consistent, scalableEvolved from treating GenAI like traditional ML to integrated workflowsKey misconception: GenAI isn't magic, needs proper data and reasoningAdvice: start with existing challenges, build flexible systems for adaptationGenAI excels at summarizing information and supporting complex decisionsFuture vision: AI handles routine threats, humans focus on creativityDemocratizing machine learning capabilities to broader range of subject expertsParticipants:Dean Teffer – Vice President of AI, Arctic WolfFurther Links:Arctic Wolf: Website | LinkedIn | AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In our Season 8 opener, we welcome Allison Horn, Head of Talent Transformation at JP Morgan Chase as our guest host for the show. We quickly reflect on eight years together and discuss the origins of the podcast. Allison leads us through a series of questions to get our perspectives on a variety of topics, including a major pop star story, how we're using GenAI in our day-to-day work, current AI tools, the cognitive impact of AI, and our thoughts on balancing professional growth with new technology.   00:00 Cold open 01:01 Celebrating 8 years 03:33 Allison's New Role at JP Morgan Chase 04:34 Learning and Transitioning in a New Job 11:24 The Taylor Travis Engagement 13:31 Impact of GPT-5 and AI Tools 19:18 Personalizing AI for Daily Use 19:54 The Future of General Purpose Models 21:35 Custom GPTs in Instructional Design 22:56 AI in Creative Work and Education 24:20 Smaller Language Models and Cognitive Impact 25:51 Challenges and Misconceptions in AI Research 27:47 Using AI for Change Storytelling 31:25 Exploring Multi-Agent Autonomous Work 34:34 Reflecting on Professional Learning 37:27 Final Thoughts and Farewells   LISTEN AND SUBSCRIBE ON APPLE, SPOTIFY, AND YOUTUBE Apple Podcasts: https://podcasts.apple.com/us/podcast/the-learning-geeks-podcast/id1413446184  Spotify: https://open.spotify.com/show/7mACo97JvUL1LOmVJ9lATI?si=c430a6d9b08c4100 YouTube: https://www.youtube.com/@learninggeekspodcast   You can also download us anywhere you get your podcasts.   CONNECT WITH US If you have any feedback or want to join in on the conversation, connect with us via LinkedIN.   DISCLAIMER All thoughts and views are of our own.

David Powers is the VP of CX at Rooter Hero. He is based in Los Angeles, CA. David is also a published author and the host of the CX Riot Radio podcast.  This conversation between Mark Hillary and David came about because of a recent CX Riot Radio epsisode titled 'The Three-Faced AI God' where David talked about his experience of using AI in the contact center. David's experience shows that AI has genuine value, but there is a big difference between the genuine application of AI to improve CX and what is promised by many commentators and "AI gurus." David is both a CX leader and manager, in addition to his role commenting on the industry, therefore his direct experience with AI in the contact center provides a helpful comment on what is working, what is not, and what CX leaders can do to get the most from their AI strategy. https://linktr.ee/caffcx https://rooterhero.com/ https://www.linkedin.com/in/davidjpowers2/ SUMMARY Mark Hillary and Peter Ryan discuss the pragmatic views of David Powers, VP of CX at Rooter Hero, on AI in customer experience (CX). Powers critiques the over-reliance on AI, which often frustrates customers and agents, and emphasizes practical AI use cases like agent assist tools and automated summaries. He highlights the importance of transparency and maintaining human interaction in CX. Despite AI's potential, many projects fail to generate ROI, with research suggesting that 95% are not creating value. Powers advocates for a balanced approach, using AI to enhance agent performance rather than replacing human agents, and stresses the need for common sense in AI implementation.

Udayan Bose is the Founder and CEO of NetElixir, a digital marketing agency designed to help the growth of eCommerce businesses, B2B companies, and retail brands through strategic solutions and an AI-powered platform. Udayan is also the Co-founder of The Udaan Trust, a nonprofit foundation of NetElixir that supports underprivileged young women in India to pursue their education goals and build successful careers. In this episode… AI is transforming the way businesses operate, but the question remains: How can AI create measurable value instead of being just another buzzword? As industries experiment with generative tools, the stakes are high for brands trying to keep up with rapid technological shifts. What does it take to integrate AI responsibly to drive growth and innovation? Digital marketer and AI researcher Udayan Bose says companies must rethink how AI fits into core strategies rather than treating it as an add-on. They can leverage machine learning and generative models to identify high-value customers, streamline complex workflows, and uncover new opportunities for revenue growth. The advantage comes from reinvesting efficiency gains into new roles, experimentation, and innovation. When paired with a human-centered, responsible approach, AI can reshape industries. In this episode of The Digital Deep Dive, Aaron Conant sits down with Udayan Bose, Founder and CEO of NetElixir, to discuss unlocking business value with generative AI. Udayan talks about the disruptive potential of applied AI, why responsible adoption balances efficiency with human innovation, and how to select agencies and invest in future-proof strategies.

Being strategic means asking the right questions and meaningfully applying the learnings. How do you do this while innovating and outpacing the competition? Agility requires a willingness to experiment and adapt quickly to changing market conditions and customer preferences. It also demands breaking down silos and fostering collaboration across teams. Today, we're going to talk about how leading brands are leveraging automation and AI to drive efficiency and optimize their merchandising and trading capabilities in today's complex retail environment. To help me discuss this topic, I'd like to welcome, Karthik Ramakrishnan, Director, Planning Systems and RPA at Tapestry. About Karthik Ramakrishnan Karthik Ramakrishnan is a seasoned IT professional with 20+ years of experience in leading, architecting, consulting and delivering novel IT solutions. Karthigeyan has worked in the Retail IT industry spanning different functional areas ranging from warehouse management, planning, merchandising, customer service, automation and Gen AI. He has global consulting experience in various markets encompassing Europe, India, South America and the U.S. At Tapestry, he leads the Planning and Automation space. He is passionate about Gen AI and enjoys leveraging Gen AI to not just solve problems but identify new opportunities that are yet to be unearthed. He has a degree in Chemical Engineering from Anna University, Chennai and loves applying reactor design principles to technology solutions. Karthik Ramakrishnan on LinkedIn: https://www.linkedin.com/in/karthikram007/ Resources Tapestry: https://www.tapestry.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Don't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150 UIPath: https://www.uipath.com Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

You're probably opening a fresh chat in ChatGPT, Claude, or Gemini—and that might be sabotaging your productivity.Randomly starting conversations with no plan wastes time, fragments context, and lowers the quality of what you get from LLMs.Learn the essentials of Gemini Gem, GPTs, and Projects—how they differ, when to use each, and how to structure prompts and workflows so AI actually speeds you up instead of slowing you down.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Harnessing Custom GPTs for EfficiencyGoogle Gems vs. Custom GPTs ReviewChatGPT Projects: Features & UpdatesClaude Projects Integration & BenefitsEffective AI Chatbot Usage TechniquesLeveraging AI for Business GrowthDeep Research in ChatGPT ProjectsGoogle Apps Integration in GemsTimestamps:00:00 AI Chatbot Efficiency Tips04:12 "Putting AI to Work Wednesdays"08:39 "Optimizing ChatGPT Usage"11:28 Similar Functions, Different Categories15:41 Beyond Basic Folder Structures16:25 ChatGPT Project Update22:01 Email Archive and Albacross Software24:34 Optimize AI with Contextual Data27:49 "Improving Process Through Meta Analysis"30:53 Data File Access Issue33:27 File Handling Bug in New GPT36:12 Continuous Improvement Encouragement41:16 AI Selection Tool Website43:34 Google Ecosystem AI Assistant45:46 "Optimize AI Usage for Projects"Keywords:Custom GPTs, Google's gems, Claude's projects, OpenAI ChatGPT, AI chatbots, Large Language Models, AI systems, Google Workspace, productivity tools, GPT-3.5, GPT-4, AI updates, API actions, reasoning models, ChatGPT projects, AI assistant, file uploads, project management, AI integrations, Google Calendar, Gmail, Google Drive, context window, AI usage, AI-powered insights, Gemini 2.5 pro, Claude Opus, Claude Sonnet, AI consultation, ChatGPT Canvas, Claude artifacts, generative AI, AI strategy partner, AI brainstorming partner.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode of the HR Leaders Podcast, we speak with Cathy Peterman, Chief People Officer for Tech, Product & Design at Wayfair, about navigating transformation, leading through change, and preparing the workforce for the AI era. Cathy shares her unusual path from studying international conflict resolution to leading HR at global brands, and how curiosity, resilience, and embracing discomfort have fueled her career. She discusses imposter syndrome, why transferable skills matter more than titles, and how generative AI is reshaping recruitment, performance, and learning at Wayfair.

- One of the biggest SaaS security incidents recently of course is the Salesloft Drive/Salesforce incident, which impacted hundreds of organizations and involved compromised OAuth tokens. Can you tell us a bit about the incident and the fallout?- In an AppOmni blog on the incident, you all discuss attackers taking advantage of persistent OAuth access, over-permissive access, limited monitoring, and unsecured secrets. Why do these problems continue to plague organizations despite incidents like this?This is part of a broader trend of increased SaaS supply chain attacks. What makes these attacks so enticing for malicious actors and challenging for organizations to prevent entirely?You recently published your State of SaaS Security Report, which projects SaaS to grow 20% YoY between 2025 and 2032. This is despite 75% of organizations reporting a SaaS security incident in the past year. Why do you think we're seeing continued growth in adoption but still lagging in SaaS security to accompany the adoption?The report discusses the rise of NHIs and GenAI and how this will exacerbate problems around SaaS Access and incidents. Can you unpack that for us?I was shocked to see the report find that just 13% of organizations use SSPM tooling despite SaaS's widespread adoption. When you talk to enterprises, for example, nearly everyone is doing some CSPM activity for IaaS. Why are so many neglecting hygiene and posture for their SaaS footprint?

In this episode, Andreas Munk Holm and Jeppe Høier sit down with Paul Morgenthaler, Partner at CommerzVentures, to unpack the inner workings of a single-LP CVC and how strategic structure can drive long-term VC success. Paul shares insights from over a decade of fintech investing, offering a rare look into how one of Europe's leading corporate venture arms thinks about climate, compliance, and the coming wave of agentic AI in financial services.They explore what it takes to make a single-LP model work, how GenAI is reshaping fintech workflows, and why European regulation may be a global feature, not a bug.

MIT's ‘95% of AI pilots fail' headline is a litmus test: will people think critically, or just swallow clickbait?Unfortunately, the latter won.The MIT '95 % of AI pilots fail' study has taken over the internet, and it's one of the worst studies I've ever read. (And I've read thousands.) ↳ So, what's the truth?↳ Is AI a bubble that's about to pop? ↳ Why is this study rubbish? ↳ And how does it impact you? Don't miss out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:MIT AI Study Claims 95% Failure RateBreakdown of MIT Study MethodologyImpact of Viral MIT AI Study HeadlinesFlaws in MIT Study ROI MeasurementComparison With Reputable AI ROI StudiesMIT Study's Biased Participant SelectionNanda Project Marketing in MIT ReportFive Major Red Flags in MIT AI ResearchBusiness Implications of Flawed AI Pilots DataHow Media Sensationalizes AI Study ResultsTimestamps:00:00 "MIT AI Study Critique"04:16 AI Investments Trigger Stock Market Decline06:37 "Host's Background Overview"10:58 Flawed AI Study Critique13:28 MIT Study Highlights AI Implementation Challenges18:58 AI Work Trends & ROI Insights20:17 "Crossing the Gen AI Divide"23:25 Flawed Study with Misleading Claims29:34 "Uncritical Reposting Spurs Fake Study"30:30 "Read Studies, Not Summaries"Keywords:MIT AI study, 95% AI pilot failure, enterprise AI pilots, generative AI ROI, AI pilot success rate, AI project failure, state of AI in business, gen AI divide, MIT Media Lab, AI investment, AI implementation challenges, AI return on investment, AI research methodology, AI study critique, AI marketing, Nanda project, AI vendor solutions, agentic web, MCP protocol, A2A protocol, Fortune article, AI media coverage, stock market impact, NVIDIA stock drop, Palantir, ARM stock, qualitative AI data, AI structured interviews, AI industry surveys, IDC AI research, Snowflake ESG report, McKinsey AI analysis, Microsoft Work Trend Index, Boston Consulting Group AI study, AI adoption rates, enterprise AI transformation, sample size in AI studies, research limitations, AI productivity impact, AI workflow automation, AI business decisions, AI bubble, AI reporting in media, AI pilot timeline, enterprise AI tools, AI agent capabilities, AI autonomy, custom AI solutions, AI study bias, marketing disguised as research, sensationalized AI studies.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

I sat down with Leo de Araujo, Head of Global Business Innovation at Syntax Systems, to unpack a problem every SAP team knows too well. Years of enhancements and quick fixes leave you with custom code that nobody wants to document, a maze of SharePoint folders, and hard questions whenever S/4HANA comes up. What does this program do. What breaks if we change that field. Do we have three versions of the same thing. Leo's answer is Syntax AI CodeGenie, an agentic AI solution with a built-in chatbot that finally treats documentation and code understanding as a living part of the system, not an afterthought. Here's the thing. CodeGenie automates the creation and upkeep of custom code documentation, then lets you ask plain-language questions about function and business value. Instead of hunting through 40-page PDFs, teams can ask, “Do we already upload sales orders from Excel,” or “What depends on this BAdI,” and get an instant explanation. That changes migration planning. You can see what to keep, what to retire, and where standard capabilities or new extensions make more sense, which shortens the path to S/4HANA Cloud and helps you stay on a clean core. We also talk about how this is delivered. CodeGenie runs on SAP Business Technology Platform, connects through standard APIs, and avoids intrusive add-ons. It is compatible with SAP S/4HANA, S/4HANA Cloud Private Edition through RISE with SAP, and on-premises ECC. Security comes first, with tenant isolation for each customer and no custom code shared externally or used for AI model training. The result is a setup that respects enterprise guardrails while still giving developers and architects fast answers. Clean core gets a plain explanation in this episode. Build outside the application with published APIs, keep upgrades predictable, and innovate at the edge where you can move quickly. CodeGenie gives you the visibility to make that real, surfacing what you actually run today and how it ties to outcomes, so you can design a migration roadmap that fits the business rather than guessing from stale documents. Leo also previews the Gen AI Starter Pack, launching September 9. It bundles a managed, model-flexible platform with workshops, use-case ideation, and initial builds, so teams can move from curiosity to working solutions without locking themselves into a single provider. Paired with CodeGenie and Syntax's development accelerators, the Starter Pack points toward something SAP leaders have wanted for years, a practical way to shift from in-core customizations to clean-core extensions with much less friction. If you are planning S/4HANA, balancing hybrid and multi-cloud realities, or simply tired of tribal knowledge around critical programs, this conversation is for you. We get specific about how CodeGenie works, where it saves time and cost, and how Syntax is shaping a playbook for AI that helps teams deliver results they can trust. ********* Visit the Sponsor of Tech Talks Network: Land your first job  in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA

Adopting AI isn't about tools. It's about trust, training, and transformation. And yes, about CMO's getting their hands on the keyboard. In this Huddles Quick Take, GenAI consultants Tahnee Perry and Liza Adams break down the most common mistakes CMOs make when rolling out GenAI—from skipping change management to misunderstanding what “hands-on” really means for leaders.   They also share practical use cases (like reducing a six-week video workflow to two) and explain why a great AI strategy is rooted in empathy, context, and curiosity—not just efficiency.  What You'll Learn:  Why productivity gains mean nothing without training and team buy-in  The difference between thought partnership and bad prompting  What to measure when making the case for GenAI investment   

This week on the podcast I had the pleasure of sitting down with Dr David Wood, Glenn D. Ardis Professor of Accounting at Brigham Young University, prolific author of over 200 publications, and the mind behind the new book Rewiring Your Mind for AI. David is not only an academic voice in accounting, but a leading thinker on how artificial intelligence is reshaping the way we learn, work, and create.He discusses the concept of neuroplasticity, the growth of AI capabilities, and the importance of a transformational mindset in leveraging AI. The conversation highlights the rapid evolution of AI and its dual potential to enhance or disrupt various aspects of life and work.00:00 Masako Wakamiya's Coding Journey03:06 Meet Dr David Wood: Integrating AI in Education04:26 The Role of AI in Modern Education05:55 AI as a Superpower: Transforming Knowledge Access07:48 Rewiring Your Mind for AI14:04 The Future of Jobs in an AI-Driven World18:25 Embracing AI: From Fear to Transformation19:39 Mindset Shift: Embracing AI for Personal Growth20:21 The Journey of Writing a Book with AI23:31 AI's Rapid Advancement and Future Potential26:53 Creative Uses of AI in Everyday Tasks28:28 Feedback and Future Predictions for AI34:13 Concluding Thoughts⚡️ In each episode, Paddy Dhanda deep dives into a new human Superpower to help you thrive in the age of AI.Host: Paddy DhandaPaddy works at the largest Tech training organisation in the UK and is passionate about helping tech professionals build human skills to thrive in the age of AI.Contact Paddy: paddy@superpowers.schoolSubscribe to my newsletter:

Everyone's talking about GenAI. But adding it to your product isn't just about chasing what's new, it's about making sure it actually makes sense for your users and your long-term strategy.In this episode, Carmen Palmer, CEO of Women In Product talks with Suba Vasudevan, COO, Mozilla.org and SVP, Mozilla Corp take a look at integrating GenAI into your product roadmap without letting hype override clarity or purpose. Whether you're facing internal pressure to “do something AI,” or you're genuinely excited by its potential, this conversation will help you avoid common traps like over-scoping, misaligned use cases, or “GenAI theater”, and instead chart a path that's grounded, scalable, and aligned with your mission.Suba will be a main stage speaker at the 2025 Women In Product Conference.00:00 Introduction to Suba Vasudevan02:08 Early Career Journey and Unique Path04:07 Pivotal Career Moments and Personal Life07:45 Dual Role at Mozilla and Strategic Vision10:49 Incorporating Gen AI into Strategy and Operations19:15 Thought Leadership and Organizational Transformation21:44 Practical Advice for Product Leaders26:44 Challenges and Pitfalls in AI Adoption35:14 Rapid Fire Questions and Personal Insights40:28 Conclusion and Final Thoughts

Although there were no huge LLM updates this week, the big AI companies were still making moves. ↳ Google avoided an AI breakup. ↳ The world's most prominent AI players met with U.S. President Trump. ↳ Apple had to get AI help from its biggest competitor. ↳ Anthropic suffered a $1.5 billion lawsuit loss. And that's barely the beginning of this week's AI news that mattered. Don't waste hours a day trying to keep up or miss an update that impacts your work. Tune in now!Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI AI-Powered Job Board AnnouncementOpenAI ChatGPT Certification Launch DetailsAtlassian Acquires Browser Company for $610MAI Agentic Browsers Market Competition UpdateOpenAI Research on LLM Hallucinations ExplainedApple Integrates Google Gemini in SiriApple-Google AI Partnership for World KnowledgeOpenAI Broadcom Partnership for AI ChipsWhite House AI Execs Meeting with TrumpMajor AI Industry Data Center InvestmentsWarner Bros Sues Midjourney Over CopyrightAnthropic $1.5B Author Copyright SettlementGoogle Wins DOJ Search Monopoly Court CaseAI Image Generator Ideogram Launches StylesClaude Rolls Out Chat Memory for UsersTimestamps:00:00 OpenAI Launches AI Job Platform03:43 AI Skills Boost Salaries, New Platform07:59 Atlassian Acquires The Browser Company12:54 AI Models and Guesswork Issues15:08 AI Hallucinations vs. Uncertainty17:49 Apple-Google AI Integration Unveiled22:07 OpenAI Pursues Custom AI Chips28:59 "Warner Bros. Sues Midjourney"32:38 Anthropic Settles Copyright Lawsuit35:04 Google Avoids Chrome, Android Sale37:47 AI News: Rumors and ReleasesKeywords:OpenAI, AI news, Google, Gemini, Apple, Siri upgrade, large language models, AI hallucinations, AI job board, LinkedIn competitor, AI certification, ChatGPT, ChatGPT Enterprise, prompt engineering, Walmart AI training, Microsoft, AI salary premium, multimodal learning, NotebookLM, Perplexity Comet browser, AI agentic browser, Atlassian, The Browser Company, DIA browser, AI-powered browsing, enterprise AI, Anthropic, AI copyright lawsuit, Warner Brothers Discovery, Midjourney, Disney, Universal, AI intellectual property, image generation AI, AI model training data, Broadcom, AI chips, NVIDIA alternative, custom AI chip, data centers, US AI investment, Mark Zuckerberg, Meta, Apple manufacturing, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

On today's podcast episode, we discuss how Americans view GenAI-made media, if the “AI concern gap” between AI experts and the general public will widen, and why some of GenAI's negativity might not apply to ads. Join Senior Director of Podcasts and host, Marcus Johnson and Senior Analyst, Max Willens. Listen everywhere and watch on YouTube and Spotify.   To learn more about our research and get access to PRO+ go to EMARKETER.com   Follow us on Instagram at: https://www.instagram.com/emarketer/ For sponsorship opportunities contact us: advertising@emarketer.com For more information visit: https://www.emarketer.com/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode click here: https://www.emarketer.com/content/podcast-behind-numbers-public-opinion-on-ai-made-media-what-acceptable-what-crosses-line   © 2025 EMARKETER  

AI growth with no rules? That's not bold. It's reckless.Everyone's racing to scale AI. More data, faster tools, flashier launches.But here's what no one's saying out loud:Growth without governance doesn't make you innovative. It makes you vulnerable.Ignore ethics, and you're building an empire on quicksand.In this episode, we're breaking down how to scale AI the right way—without wrecking trust, compliance, or your future.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Questions for Rajeev or Jordan? Go ask.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Balancing AI Innovation with Ethical GovernanceIntroduction of Rajeev Kapur and Eleven o Five MediaRajeev Kapur's Background in AICompanies Balancing AI Innovation and EthicsFormation of AI Ethics BoardData Management as Competitive AdvantagePrivacy and Ethics as Product FeaturesGovernance and Ethical Standards in AI UseImpact of Regulatory Changes on AI UseDeepfakes and Their ImplicationsEncouragement for Companies to Lead Ethically in AITimestamps:00:00 Navigating AI: Innovation vs. Risks04:00 "AI Startup's Spatial Audio Journey"06:49 AI Ethics Oversight & Governance10:04 Strategic AI Advisory Team Formation15:34 AI Strategy and Governance Essentials16:55 Global Standardization Needed for AI Policies22:47 AI Ethics: Innovation vs. Deepfakes25:48 "Regulate Deepfakes Like Nukes"27:17 Leadership Vision for Future SuccessKeywords:AI innovation, Ethical governance, Large language models, Data privacy, AI ethics board, AI governance, TDWI, Microsoft stack, Generative AI, AI algorithms, Spatial audio, Deep fakes, Data differentiation, Machine learning, Cyber security, Enterprise technology, Rajeev Kapur, 11:05 Media, AI safety, OpenAI, Data utilization, Ethical AI alignment, Regulatory aspect, AI models, Innovation vs. ethics, AI data privacy, Explainability, Data scientists, Third-party audits, Transparent AI usage, AI-driven growth, Monitoring feedback loops, Worst case testing, Smart regulations, Digital twins, Disinformation, AI bias mitigation, Data as new oil, Refining dataSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

How big of trouble is Apple in when it comes to AI?It's so bad they're enlisting the help of their chief rival to do so: Google. What's that mean for Google, and will the world FINALLY have an AI-powered Siri after years of broken promises?Tune in and find out. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Apple and Google Partnership for AIApple's Ongoing AI Strategy FailuresBloomberg Report: Gemini AI IntegrationSiri AI Overhaul With Google GeminiTechnical Details: Gemini on Apple ServersWorld Knowledge Answers Feature LaunchApple's AI Talent Exodus to CompetitorsLegal Risks and AI Feature LawsuitsImpact on Big Tech Competitive LandscapePotential Timeline for Smarter Siri ReleaseTimestamps:00:00 "Everyday AI: Daily Insights"04:35 Apple's Rivalry and AI Struggles09:03 Smart Assistants' Evolution and Apple's Challenge10:15 Apple's AI-Powered Answer Engine15:54 Apple's Private Cloud Security Architecture17:53 Apple Expands Siri with Google AI21:23 Apple's AI Ambitions and Challenges26:06 Apple's AI Talent Exodus30:49 Apple AI Team Exodus32:48 Apple's Reliance on Google Dominance35:04 "Siri's 2026 Update and Industry Impact"38:44 Support and Stay UpdatedKeywords:Apple, Google, Apple and Google partnership, Apple Intelligence, generative AI, Google Gemini, AI relevance, Siri, Siri failures, large language models, chief rival collaboration, Big Tech AI, market cap, AI-powered web search, AI search engine, Bloomberg report, AI features, AI partnership, AI summarizer, Apple AI delays, technological rivalry, OpenAI, Anthropic, Perplexity, AI foundation models, custom AI model, Private Cloud Compute, privacy architecture, AI talent exodus, machine learning, Apple lawsuits, false advertising, AI market competition, AI integration, hardware vs. software, ChatGPT alternative, Spotlight search, Safari AI integration, AI-driven device functionality, Meta, DeepMind, Microsoft AI, AI-powered summaries, web summarization, device intelligence, AI-powered assistants, smart assistant shortcomingsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner