Podcasts about genai

A U.S. vs China AI cold war is starting, and most business leaders have no idea they're already in it.China's open models just closed the gap with America's best, oftentimes at a fraction of the price.Now both governments are moving to wall off their AI within days of each other.Why? Because this was never about benchmarks. It's about power y'all. We break it all down on today's show and help you figure out the 101 of the AI war between U.S. and China. The U.S. vs China AI Cold War Is Starting: What It Means and How It Impacts You -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.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:U.S.-China AI Cold War OverviewChinese AI Models Closing U.S. GapGovernment Restrictions on AI Model AccessEconomic and Geopolitical AI Power StruggleRisks for U.S. Businesses Using Chinese AIOpen Source vs. Closed Source AI DebateChinese AI Model Pricing Undercuts U.S.AI Model Distillation and U.S. Security ConcernsEnterprise AI Cost-Effectiveness BenchmarksMicrosoft Testing Chinese AI DeploymentsFuture AI Model Export Controls & StrategiesRecommendations for AI Model Sourcing and RiskTimestamps:00:00 US-China AI tensions escalate04:30 Switching to Chinese AI models08:47 US vs China in open source models11:39 China's narrative control efforts14:42 Challenges in AI model development18:25 Differentiating open source strategies23:04 AI model cost-effectiveness analysis26:31 US measures against model distillation29:38 Discussing Microsoft's use of AI models31:17 Controlling export of AI modelsKeywords: US vs China AI cold war, China AI restrictions, US AI restrictions, AI model export controls, Chinese open source AI models, AI geopolitical power, economic growth through AI, global AI standards, AI superpower race, AI model benchmarks, open weight models, enterprise AI deployment, trillion parameter AI models, Microsoft AI model testing, AI model pricing, Claude Fable 5, GPT-5.6, GLM 5.2, Kimmi K3, Alibaba Qwen 3.8, model distillation, AI cybersecurity risks, AGI leadership, military AI use cases, China narrative control, model adoption, compute power for AI, AI training data, AI export law, US national security and AI, model routing, mixture of models, cost per intelligence index, Anthropic models, cost per task AI, model capability parity, AI market adoption, cloud competition, AI architecture innovation, AI model sanctionsSend 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 

If a brand is no longer what a company says it is, but the sum of every experience a customer has, what does that mean for the marketing department's role in the organization?Agility requires more than just adapting to market changes; it demands a fundamental shift from broadcasting a message to engineering an experience. It requires a willingness to unlearn old definitions of brand and embrace a new reality where customer perception is the ultimate truth.Today, we're going to talk about what some are calling a "reformation" in branding. It's a move away from the traditional model of logos, slogans, and campaigns, and toward a new understanding where the brand is the cumulative effect of every single customer interaction. This shift has massive implications for organizational structure, strategy, and how we measure success.To help me discuss this topic, I'd like to welcome, Lou Carbone, Professor of Practice, Michigan State University & Founder/Chief Experience Officer at Experience Engineering. About Lou CarboneLou Carbone, often called the "Godfather of Experience Management," has been a pioneer in experience engineering since the 1980s. He's a globally recognized thought leader, author of Clued In (Fast Company's Reader's Choice Award winner), and co-author of award-winning research like “Sticktion.” He developed the proprietary Experience Engineering® methodology and has advised top organizations including Microsoft, IBM, John Deere, Pizza Hut UK, Allstate, and the UAE government. A frequent keynote speaker and guest lecturer at leading business schools, he's also Professor of Practice at Michigan State University, shaping future leaders in customer experience. His innovations, like the Paperless Rental Agreement at National Car Rental, have become industry standards. He holds a Distinguished Alumni Award from Thiel College, where he also served as Board Chair, and is active on several healthcare and academic boards including Brown College. Lou also serves as a Professor of Practice in the Eli Broad Business College at Michigan State University, teaching within the Masters of Market Research and Analytics program, as well as the startup of the Masters degree in Customer Experience Management.Lou Carbone on LinkedIn---------- Resources ---------- Experience EngineeringThe Agile Brand podcast is brought to you by TEKsystems. We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Chaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose.Start building your own apps with Replit and get $20 off. Enjoyed the show? Tell us more at and give us a rating so others can find the show.Connect with Greg on LinkedInDon't miss a thing: get the latest episodes, sign up for our newsletter and more.Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology.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. Hosted on Acast. See acast.com/privacy for more information.

There's (another) new open source king of AI.

Today's guest is Martin Duffy, Head of GenAI at PWC Ireland. Founded in 1866, PwC Ireland is one of the country's leading professional services firms, providing audit, tax, consulting, deals and technology services. By combining deep industry expertise with a global network, PwC helps organisations drive transformation, solve complex business challenges and create sustainable value in an increasingly digital world.Martin is a senior data and analytics consultant with over 30 years of experience helping organisations harness data to drive better business outcomes. He specialises in analytics strategy, building high-performing analytics functions and advancing organisational analytics maturity. With extensive experience across the financial services, public sector and manufacturing industries, Martin helps organisations unlock the full value of their data and make smarter, data-driven decisions.In the episode, Martin discusses:0:00 His journey from early neural networks to modern GPT scale AI evolution2:08 How their Client Zero AI journey shifted to human-centric trust approach3:42 Their focus on automating tasks to drive AI adoption and trust7:05 How Personal AI wins drive adoption and organisational growth choices9:48 Top AI leaders combine governance, responsibility and growth mindset11:00 How AI success blends leadership and grassroots adoption12:01 Irish firms lag due to caution, process redesign and operating model maturity13:21 The need to choose mindset, lead visibly and prioritise people change

If a brand is no longer what a company says it is, but the sum of every experience a customer has, what does that mean for the marketing department's role in the organization?Agility requires more than just adapting to market changes; it demands a fundamental shift from broadcasting a message to engineering an experience. It requires a willingness to unlearn old definitions of brand and embrace a new reality where customer perception is the ultimate truth.Today, we're going to talk about what some are calling a "reformation" in branding. It's a move away from the traditional model of logos, slogans, and campaigns, and toward a new understanding where the brand is the cumulative effect of every single customer interaction. This shift has massive implications for organizational structure, strategy, and how we measure success.To help me discuss this topic, I'd like to welcome, Lou Carbone, Professor of Practice, Michigan State University & Founder/Chief Experience Officer at Experience Engineering. About Lou CarboneLou Carbone, often called the "Godfather of Experience Management," has been a pioneer in experience engineering since the 1980s. He's a globally recognized thought leader, author of Clued In (Fast Company's Reader's Choice Award winner), and co-author of award-winning research like “Sticktion.” He developed the proprietary Experience Engineering® methodology and has advised top organizations including Microsoft, IBM, John Deere, Pizza Hut UK, Allstate, and the UAE government. A frequent keynote speaker and guest lecturer at leading business schools, he's also Professor of Practice at Michigan State University, shaping future leaders in customer experience. His innovations, like the Paperless Rental Agreement at National Car Rental, have become industry standards. He holds a Distinguished Alumni Award from Thiel College, where he also served as Board Chair, and is active on several healthcare and academic boards including Brown College. Lou also serves as a Professor of Practice in the Eli Broad Business College at Michigan State University, teaching within the Masters of Market Research and Analytics program, as well as the startup of the Masters degree in Customer Experience Management.Lou Carbone on LinkedIn---------- Resources ---------- Experience EngineeringThe Agile Brand podcast is brought to you by TEKsystems. We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Chaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose.Start building your own apps with Replit and get $20 off. Enjoyed the show? Tell us more at and give us a rating so others can find the show.Connect with Greg on LinkedInDon't miss a thing: get the latest episodes, sign up for our newsletter and more.Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology.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. Hosted on Acast. See acast.com/privacy for more information.

“The End of Reading is Here” from The Atlantic by Rose Horowitch Quotes from the article for discussion are bolded below and in quotes. “…fewer than half of all adults reported having read a book of any kind in 2022.” This week my friend Dave Witzig texting me to ask what I’ve been reading… Going … Continue reading "Is the End of Reading Here? GenAI and the Reading Writing Classroom"

What if the marketing playbook you've relied on for the past decade is quickly failing to get results? When customers rapidly shift their behaviors, agility requires being willing to rethink how you build and earn customer relationships from the ground up.Today, we're going to talk about the shift away from rented audiences and unreliable signals toward building durable, first-party data assets. Specifically, we'll cover:- Why the classic B2B and B2C buyer intent signals are becoming less reliable and what to look for instead.- How to navigate a new era of marketing measurement when privacy regulations and platform changes obscure the full picture.- The practical steps required to build a first-party data strategy that creates durable customer relationships, not just a larger database.To help me discuss this, I'd like to welcome, Alexi Hatch, CMO at Acoustic. About Alexi HatchAlexi Hatch is Chief Marketing Officer at Acoustic, where she leads global marketing, brand, communications, product marketing, demand generation, and go-to-market strategy. Over the past decade, Alexi has helped enterprise SaaS companies grow by building brands people remember, modernizing marketing organizations, and turning customer insight into business impact. Her work sits at the intersection of AI, customer engagement, and modern marketing leadership.She believes the next competitive advantage in marketing won't come from knowing more about customers but from responding to them better.Alexi Hatch on LinkedIn: https://www.linkedin.com/in/alexihatch/---------- Resources ---------- : acoustic.comThe Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect 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://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe 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. Hosted on Acast. See acast.com/privacy for more information.

Moonshot AI released Kimi K3, a 2.8T-parameter model it says rivals Opus 4.8 and GPT-5.5. Google fell months behind on Gemini 3.5 Pro, MLB banned dugout iPads from accessing GenAI for in-game calls, and The Verge tested Siri AI. Moonshot AI releases Kimi K3, a 2.8T-parameter AI model that it says rivals Claude Opus 4.8 and GPT-5.5, and plans to release its full model weights by July 27 (VentureBeat) Sources: Google is months behind schedule on delivering Gemini 3.5 Pro as it tries to improve its capabilities, particularly in coding; GOOG closes down 4.43% (Bloomberg) Memo: MLB bans the use of league-provided dugout iPads to access GenAI for in-game strategy calls; sources say at least a third of teams used AI this way (The Athletic) Longreads The Verge spends a month testing Siri AI in the iOS 27 public beta, finding it's already reshaping how people use their iPhone, though it can't yet reach non-Apple apps (The Verge) Subscribe to the ad-free feed. Learn more about your ad choices. Visit megaphone.fm/adchoices

Is Kimi K3 the shocker of 2026? Could be. Now, we have a new (soon to be) Open Model that's competing with Fable 5 and GPT-5.6, a feat few would have believed possible. And that was the only new and important drop this week in AI. Claude brought useful browser to the desktop, ChatGPT made a big fix to how ChatGPT Work works and Google rolled out avatars that could change content creation. Don't miss our Friday Features show, where we recap the most important AI updates and features you can use today. Claude Desktop Gets Upgrade, New Open Source Model Shocks, ChatGPT Desktop Gets Better and 7 More AI Features You Can Use Today -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.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:Anthropic Claude Desktop App Browser UpgradeOpenAI ChatGPT Work Desktop App ImprovementsChatGPT Universal Search Feature LaunchSuperhuman Email Auto-Draft with GPT-4Spotify AI Voice/Text Conversation FeatureGemini Omni Personal Avatar Video CreationGoogle Vids Integration with Personal AvatarsMoonshot Kimmy K3 Open Source Model ReleaseKimmy K3 vs Fable 5 and GPT-5.6 BenchmarksTimestamps:00:00 New open source AI model release03:41 Microsoft Copilot and Claude app updates07:22 Improving chat history search12:30 Spotify's data personalization benefits14:52 Launching Google Avatar Feature18:24 Mainstream avatar video tools21:33 Improved ChatGPT project syncing24:15 Introducing Kimmy K Three Model29:30 New Kimmy k three for enterprises30:45 Friday feature show wrap-upKeywords: Claude desktop, Claude desktop upgrade, open source AI model, proprietary AI, open vs closed AI, Anthropic, built-in browser, Claude app, API docs, browser integration, permissions card, security layers, ChatGPT desktop app, OpenAI, universal search, ChatGPT search, chat history, project sync, mobile AI apps, Codex, ChatGPT work, Codex mode, Superhuman mail, auto draft, Anthropic Frontier models, GPT-3.5, Gmail integration, Outlook integration, Spotify, Talk to Spotify, personalized AI conversation, Gemini Omni, Google Gemini, personal avatars, Google Vids, video editing AI, video avatars, L&D AI, content creation with AI, Kimi k3, Moonshot AI, 2.8 trillion parameter model, 1 million token context, vision mode, benchmark leaderboards, Fable 5, GPT 5.6, Opus 4.8, open model weights, self-host AI, enterprise AI solutions, long context AI, front-end design AI, subscription AI tools, API pricing, AI benchmark, arena rankingsSend 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 today's podcast episode, we discuss how much time Americans spend with GenAI, why daily social media use might not have peaked, and why TV, not mobile, still rules the roost.   Subscribe to EMARKETER's newsletters. Go to https://www.emarketer.com/newsletters   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-attention-wars-tv-actually-reigns-over-mobile-and-genai-time-rising-behind-numbers   © 2026 EMARKETER

-Netflix said, “GenAI workflows were used in roughly 300 of our titles, this year, with the largest concentration of work in post-production.” -Gabriel Perez allegedly made more than $100,000 betting on the length of President Trump's speeches, including the State of the Union address, a speech at the World Economic Forum in January and remarks at a Medal of Honor ceremony in March. -MLB officials have taken the unusual step of making a mid-season policy change to crack down on the use of custom apps that would take over "recommendations regarding substitutions, pitch calling, and other in-game decisions traditionally made by players and coaches." Learn more about your ad choices. Visit podcastchoices.com/adchoices

What if the marketing playbook you've relied on for the past decade is quickly failing to get results? When customers rapidly shift their behaviors, agility requires being willing to rethink how you build and earn customer relationships from the ground up.Today, we're going to talk about the shift away from rented audiences and unreliable signals toward building durable, first-party data assets. Specifically, we'll cover:- Why the classic B2B and B2C buyer intent signals are becoming less reliable and what to look for instead.- How to navigate a new era of marketing measurement when privacy regulations and platform changes obscure the full picture.- The practical steps required to build a first-party data strategy that creates durable customer relationships, not just a larger database.To help me discuss this, I'd like to welcome, Alexi Hatch, CMO at Acoustic. About Alexi HatchAlexi Hatch is Chief Marketing Officer at Acoustic, where she leads global marketing, brand, communications, product marketing, demand generation, and go-to-market strategy. Over the past decade, Alexi has helped enterprise SaaS companies grow by building brands people remember, modernizing marketing organizations, and turning customer insight into business impact. Her work sits at the intersection of AI, customer engagement, and modern marketing leadership.She believes the next competitive advantage in marketing won't come from knowing more about customers but from responding to them better.Alexi Hatch on LinkedIn: https://www.linkedin.com/in/alexihatch/---------- Resources ---------- : acoustic.comThe Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect 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://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe 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. Hosted on Acast. See acast.com/privacy for more information.

Are the platforms you rely on most for growth also the biggest barriers to understanding it?Agility requires a clear view of the entire customer journey, not just the isolated moments within a single platform. This means brands must adapt their strategies to operate effectively across the open internet, not just within its walled gardens.Today, we're going to talk about a fundamental disconnect in modern marketing: while AI is enabling a consumer journey that is more fluid and dynamic than ever, many marketers are still planning, executing, and measuring their efforts in platform-specific silos. This can create a distorted view of performance and limit a brand's ability to drive real growth.To help me discuss this topic, I'd like to welcome Todd Parsons, Chief Product Officer & President of Performance Media at Criteo. About Todd ParsonsTodd Parsons is Chief Product Officer and President of Performance Media at Criteo, where he leads the company's global product and Performance Media organization. Since joining in 2020, he has been instrumental in transforming Criteo's platform, advancing AI-powered solutions for predictive bidding, creative assembly, and merchandising, while scaling self-service activation across channels. In 2025, he assumed leadership of Performance Media to unify product, design, analytics, and go-to-market under a single vision for growth. With more than two decades of experience at the intersection of data and marketing, Todd has held leadership roles driving innovation across the industry. He previously served as Chief Product Officer at SocialCode, where he developed tools to activate and measure first-party audiences across platforms including Facebook, Amazon, and YouTube, and earlier helped establish OpenX as the first people-based programmatic marketplace. At Criteo, he continues to shape the future of commerce media, leveraging over a billion daily shopper interactions to deliver measurable outcomes for brands and retailers worldwide.Todd Parsons on LinkedIn: https://www.linkedin.com/in/toddaparsons---------- Resources ---------- Criteo: criteo.comThis show is brought to you by Criteo. Their new self-service platform, Criteo GO, makes AI-powered advertising simpler and more accessible for brands looking to drive demand, acquire customers, and scale performance. By enabling cross-channel performance across display, web, video, social, and even ChatGPT, Criteo GO helps brands reach shoppers with smarter advertising powered by real-time commerce signals.We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: aglbrnd.co/r/faaed112fc9887f3Connect with Greg on LinkedIn: linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: agilebrandguide.comThe Agile Brand is produced by Missing Link. Hosted on Acast. See acast.com/privacy for more information.

You've probably never heard of Inkling. It's the newest (and first) model from Thinking Machines Labs, and it could very well be a small snowball that picks up major momentum in today's enterprise AI landscape. If you haven't heard of Thinking Machines, they're led by Mira Murati, the former CTO at OpenAI. The big bet with Inkling? The future of AI could be using smaller models fine-tuned and optimized for smaller tasks. Will it work? Tune in live as we dive in. The Most Important AI Model You'll Probably Never Use That Just Dropped -- An Everyday AI Chat With Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.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:Inkling AI Model Launch OverviewThinking Machines Lab Leadership HighlightInkling's Multimodal and Agentic CapabilitiesOpen Source vs. Proprietary AI ModelsEnterprise Procurement with American AI ModelsAI Fine Tuning as a Service (Tinker)Benchmark Scores: Inkling vs. Frontier ModelsCustomization and Model Shopping for EnterprisesAI Token Costs Driving Model EfficiencyBridgewater Case Study: AI Model CustomizationFrontier Models Enabling Efficient Fine-TuningFuture Trends: Specialized Small Language ModelsTimestamps:00:00 Inkling: A new AI model release05:43 Inkling AI model details09:08 China's dominance in open source AI11:48 Launch and model updates discussed15:21 Concerns over using Chinese open-source models19:06 Training smaller AI models20:22 Using GPT for AI Model Training23:54 Predicting Rise of Small Language Models28:38 Choosing the right AI modelKeywords: Inkling, Thinking Machines Lab, Meera Muradi, former OpenAI CTO, open source AI model, American AI model, fine tuning as a service, enterprise AI, multimodal AI, agentic models, customizable AI, Tinker, enterprise distribution, model procurement, Chinese open source models, strategic reset, model overhang, capabilities gap, AI model shopping, model routing, cost-conscious enterprises, artificial intelligence index, 975 billion parameter model, text-image-audio AI, open weights, proprietary AI models, customization accessibility, small language models, AI workflows, context window, Bridgewater use case, model distillation, GPU infrastructure, API costs, token efficiency, fine-tuned models, post training, AI competitive leverage, recurring financial judgment, AI benchmarks, middle tier models, automated model evaluation, privacy and workflow mapping, economical AI models, model rental, model routing automation.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 

Quantum materials discovery shows how quantum computing can create real value in industry by working alongside AI, advanced computing, and experiments to better understand materials, improve decision-making, and accelerate innovation at scale, ultimately helping deliver practical, measurable progress for the energy transition.This week, Dave, Esmee, and Rob are joined by co-host and quantum expert Phalgun Lolur, together with Jonathan Owens, Senior Scientist in Computational Materials Physics at GE Vernova to explore how quantum computing could reshape materials discovery and why that matters for the future of energy.  TLDR00:00 – Introduction01:50 – Hang out: The wet-bulb thermometer03:20 – Dig in: Technology Convergence and the Link to Quantum11:30 – Conversation with Jonathan Owens44:26 – Exciting to see how the quantum landscape matures and the magic wand for magnetismGuestJonathan Owens: https://www.linkedin.com/in/jonathan-r-owens-phd/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/Co-host Phalgun Lolur:  https://www.linkedin.com/in/phalgun-lolur/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

GenAI has industrialized social engineering. The human entry point is now automated, personalized, and scalable, and that changes how security leaders must defend. In this #shifthappens episode, Andrew Carr, Managing Director and Global Head of Threat Management for Booz Allen Hamilton's Commercial Incident Response team, joins AvePoint Chief Brand Officer Dux Raymond Sy and AvePoint Chief Risk, Privacy, and Information Security Officer Dana Simberkoff to unpack what's genuinely new about AI-driven attacks — and what organizations need to do about it.  Drawing on frontline incident response across healthcare, financial services, manufacturing, and more, Andrew explains why attackers no longer need to compromise systems to extract millions, why built-in trust is now a liability, and why the fundamentals that have been ignored for too long – zero trust, data classification, least privilege – are exactly what this moment demands. He also breaks down how AI should be used in defense: not as autopilot, but as a human-augmented layer that triages, prioritizes, and buys decision-makers the time they no longer have. 

Are the platforms you rely on most for growth also the biggest barriers to understanding it?Agility requires a clear view of the entire customer journey, not just the isolated moments within a single platform. This means brands must adapt their strategies to operate effectively across the open internet, not just within its walled gardens.Today, we're going to talk about a fundamental disconnect in modern marketing: while AI is enabling a consumer journey that is more fluid and dynamic than ever, many marketers are still planning, executing, and measuring their efforts in platform-specific silos. This can create a distorted view of performance and limit a brand's ability to drive real growth.To help me discuss this topic, I'd like to welcome Todd Parsons, Chief Product Officer & President of Performance Media at Criteo. About Todd ParsonsTodd Parsons is Chief Product Officer and President of Performance Media at Criteo, where he leads the company's global product and Performance Media organization. Since joining in 2020, he has been instrumental in transforming Criteo's platform, advancing AI-powered solutions for predictive bidding, creative assembly, and merchandising, while scaling self-service activation across channels. In 2025, he assumed leadership of Performance Media to unify product, design, analytics, and go-to-market under a single vision for growth. With more than two decades of experience at the intersection of data and marketing, Todd has held leadership roles driving innovation across the industry. He previously served as Chief Product Officer at SocialCode, where he developed tools to activate and measure first-party audiences across platforms including Facebook, Amazon, and YouTube, and earlier helped establish OpenX as the first people-based programmatic marketplace. At Criteo, he continues to shape the future of commerce media, leveraging over a billion daily shopper interactions to deliver measurable outcomes for brands and retailers worldwide.Todd Parsons on LinkedIn: https://www.linkedin.com/in/toddaparsons---------- Resources ---------- Criteo: criteo.comThis show is brought to you by Criteo. Their new self-service platform, Criteo GO, makes AI-powered advertising simpler and more accessible for brands looking to drive demand, acquire customers, and scale performance. By enabling cross-channel performance across display, web, video, social, and even ChatGPT, Criteo GO helps brands reach shoppers with smarter advertising powered by real-time commerce signals.We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: aglbrnd.co/r/faaed112fc9887f3Connect with Greg on LinkedIn: linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: agilebrandguide.comThe Agile Brand is produced by Missing Link. Hosted on Acast. See acast.com/privacy for more information.

What if your most valuable future customers are discovering solutions in a place your current attribution models can't even see?Agility requires not just adapting to new channels, but completely rethinking how we measure discovery and value when the customer journey starts with a conversation with an AI.Today, we're going to talk about:- How the shift from keyword-based search to conversational AI is creating a new discipline: Answer Engine Optimization.- Why your current team structure might be the biggest obstacle to winning in the AI era, and how to reorganize talent and process for this new reality.- The critical role of unified customer data in influencing AI-driven recommendations and why it's becoming the ultimate competitive advantage.To help me discuss this topic, I'd like to welcome, Kipp Bodnar, Chief Marketing Officer at HubSpot.About Kipp BodnarAs CMO of HubSpot, Kipp leads global marketing strategy to drive awareness and demand across a rapidly evolving product suite. He previously served as VP of Marketing, scaling international teams and overseeing demand gen, strategic partnerships, and social media. He's also a marketing advisor to several SaaS companies, co-author of The B2B Social Media Book, and a respected speaker and blogger.Kipp Bodnar on LinkedIn: https://www.linkedin.com/in/kippbodnar/---------- Resources ----------HubSpot website: https://www.hubspot.com/The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect 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://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe 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 Hosted on Acast. See acast.com/privacy for more information.

OpenAI's new ChatGPT Work is on fire.

In the final episode of Season 16, Julia Wagemann speaks with Phil Cooper, Geospatial Global Tech BD for the Amazon Public Sector team, and Nadine Alameh, Founder of LunateAI and former CEO of the Open Geospatial Consortium. The conversation closes the GenAI for Geospatial Challenge takeover by looking beyond the individual prototypes and asking what this moment means for the wider geospatial industry. Phil reflects on the evolution of Earth observation from a time when researchers might spend months analysing a single satellite image to today's world of petabyte-scale data, cloud infrastructure and AI-enabled analysis. Generative and agentic AI are now helping organisations engage with geospatial data without needing years of specialist experience, opening the field to new industries, users and ideas. Nadine describes this as a moment in which anyone with a strong idea can begin turning it into a prototype, solution or business. She also reflects on the Challenge's role in demonstrating the art of the possible, lowering barriers and supporting teams working on meaningful problems across climate, health, oceans, infrastructure, insurance and spatial intelligence. The episode explores the patterns that emerged across the 14 winning teams. Unlike earlier experiments focused primarily on the technology itself, many of this year's projects were grounded in specific domain challenges, including methane monitoring, malaria planning, cocoa supply-chain transparency, marine intelligence, disaster risk and insurance. Phil and Nadine also discuss the rapid move from generative AI towards agentic systems, multimodal geospatial foundation models and natural-language interfaces. As these tools become more operational, the conversation turns to trust, data governance, standards, provenance and the need to help users understand where information comes from and how it has been processed. The episode also considers which sectors may adopt geospatial AI first, why energy and finance are already moving quickly, and how geospatial intelligence could become embedded into everyday decision-making across industries. Host: Julia Wagemann Guests: Phil Cooper and Nadine Alameh Organisations: AWS and LunateAI Episode focus: The future of generative AI and geospatial Series: Scene From Above, Season 16 – GenAI for Geospatial Challenge Takeover

What if your most valuable future customers are discovering solutions in a place your current attribution models can't even see?Agility requires not just adapting to new channels, but completely rethinking how we measure discovery and value when the customer journey starts with a conversation with an AI.Today, we're going to talk about:- How the shift from keyword-based search to conversational AI is creating a new discipline: Answer Engine Optimization.- Why your current team structure might be the biggest obstacle to winning in the AI era, and how to reorganize talent and process for this new reality.- The critical role of unified customer data in influencing AI-driven recommendations and why it's becoming the ultimate competitive advantage.To help me discuss this topic, I'd like to welcome, Kipp Bodnar, Chief Marketing Officer at HubSpot.About Kipp BodnarAs CMO of HubSpot, Kipp leads global marketing strategy to drive awareness and demand across a rapidly evolving product suite. He previously served as VP of Marketing, scaling international teams and overseeing demand gen, strategic partnerships, and social media. He's also a marketing advisor to several SaaS companies, co-author of The B2B Social Media Book, and a respected speaker and blogger.Kipp Bodnar on LinkedIn: https://www.linkedin.com/in/kippbodnar/---------- Resources ----------HubSpot website: https://www.hubspot.com/The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect 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://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe 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 Hosted on Acast. See acast.com/privacy for more information.

Of course you need data to fuel your AI. You know what's just as helpful though?

Not all work happens in writing. Teams that work with photos, videos, and audio need AI that works for them too. This is why, with Dropbox, you can search within multimedia content for key moments and important information—not just text. In this episode, we talk with Appu Shaji and Hicham Badri, two Dropbox machine learning engineers who are part of the team that makes all of this possible. They explain how multimodal search works—from understanding the context of the initial query, to identifying objects and actions in complex scenes—and how they ensure those models work fast, even at Dropbox-scale. ~ ~ ~  Working Smarter is brought to you by Dropbox. Find, organize, and share your work—all in one place—with context-aware AI from Dropbox. You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai This show would not be possible without the talented team at Cosmic Standard: producer Ben Montoya, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrator 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!

Most CDOs are still measuring AI readiness with a BI-readiness checklist and it's costing them. 80 to 90 percent of enterprise data is unstructured, sitting outside every governance program built over the last three decades.

Canada's General Fusion is now the first publicly traded nuclear fusion company, as its Nasdaq debut gives it more cash to chase a breakthrough that could one day help meet soaring demand for clean power — if the still-unproven tech can finally produce more energy than it uses. Plus, doctors are warning about a tick-borne illness that was barely on their radar five years ago, as warming temperatures help ticks spread farther north and bring more diseases with them.And in The Big Picture: Ottawa and Alberta strike a deal with oil sands producers on a major carbon capture project, an Innu First Nation rejects Quebec's proposed hydro deal, and Chinese automaker Dongfeng gets ready to sell EVs in Canada.After today's interview we host an exclusive interview with Sumee Seetharaman, VP of AI/ML Practice in the Center of Excellence at TD:Brett:Hey, Peak Pals. Thanks so much for joining us today. We've got a great guest for you, Sumee Seetharaman, who is the VP of AI/ML Practice in the Center of Excellence at TD. This is gonna be a great conversation about AI at work, something I think we're all experiencing, so we're really excited to have you. To kick it off, the use of AI in Canadian workspaces is surging. According to KPMG, about 51% of Canadian adults are now using generative AI at work. Has the technology become just so commonplace in the workplace that Canadians need to have AI skills before they enter the workforce? And if so, which skills do they need? Sumee:Yeah, it's a great question. Interestingly, we're at a point where the personal use of AI is far exceeding use at work, a March 2026 Angus Reid survey found that over 70% of Canadians surveyed had used AI in the previous three months for personal use. So odds are that most folks are actively using AI for their day-to-day already and have some of the basic AI skills required at work. Skills like knowing how to use and prompt a chatbot effectively, and I'm not talking about just a single Q&A, but really knowing how to converse with the model. Treating, the response to your initial question as just the starting point. Knowing how to ask follow-up questions and providing clear instructions to refine the response. So the fluency is in really knowing how to iterate and refine, building out the parts that are missing, and pruning out the parts that don't feel right? Most people are learning to do this instinctively as they're using ChatGPT and Gemini apps. Next, I want to say folks who are using AI regularly are also starting to develop a good sense of the strengths and the limitations of the technology, right? All of us have encountered that the model sometimes hallucinates, and so we know and we've learned that we cannot treat the output of the model as gospel. And so in a work setting, this is where domain expertise, not AI expertise, is actually more helpful because we need experts to validate and apply human judgment on the output of the model. And also if you're actively using AI and reading on AI, AI can be used in harmful ways, so most folks are starting to develop an appreciation for the guardrails that are needed and what does responsible use of AI look like. And are careful about what you put into public versions of these models. You're starting to build a good awareness of privacy safeguards and such. All that to say if you're familiar with using ChatGPT or Gemini for personal use- You should be able to fluently use most AI tools in the workplace. So at TD, over seventy percent of our colleagues our workforce has access to a GenAI capability, whether it's virtual assistants that we have developed in-house for our frontline colleagues in contact centers or wealth operations or branches, or Copilot capabilities we've enabled across the organization. GitHub Copilot for developers and Power BI Copilot and Office 365 Copilot. So chances are, if you're joining TD, you have access to these AI capabilities to, to really amplify your impact, and you probably are already quite fluent in how to use them. Brett:TD is obviously ahead of the curve on AI, and I'd be interested from a practical standpoint, what are some examples of jobs at TD that AI is already transforming? Sumee:Yeah. So we recently announced our first agentic AI use case to, to speed up the pre-adjudication process of mortgage and HELOC applications. So when an application is submitted, AI agents that we've deployed are actively scanning the documents, calculating client income, performing consent checks, looking for discrepancies, et cetera. After this sort of document review process is done, the agents then produce a memo with their findings and this goes off to the underwriters to review and make a decision on the application. And so if you look through that agentic AI activation, it's transformed the jobs of colleagues like our underwriters who are now working hand-in-hand with AI agents and making decisions on applications much faster. We've gotten the review process down to an average of three minutes from an average of fifteen hours. Effectively, the way they're operating has transformed day-to-day. If I look at the role of our back-office staff that has transformed as well. They're now providing valuable oversight on our AI agents and helping us ensure that it's performing within the necessary parameters and it's delivering the right outputs. It's just the first set of use cases supporting the first pre-adjudication leg, but there's a much broader end-to-end transformation roadmap for our real estate secure lending operations. So we're just getting started. And as we gradually scale AI use within RESL operations, we'll start to see more role transformation across the board. On a similar vein I find the roles of our frontline colleagues are gradually evolving, transforming too. So our colleagues in branches are now using gen AI virtual assistants to help prepare for client meetings, answer complex questions effectively. Our colleagues in TD Securities are now using these virtual assistants to speed up the research process and really amplify the sales cycle. So across our frontline, our new hires now have an expert AI support on their fingertips, which means they can now spend far more time focusing on sales advice, deepening relationships with our clients. So slowly but surely, we see these roles evolving, getting actually much, much more client-focused and less manual work and less operational focus, if you will. Brett:What is TD doing to help train and upskill colleagues so that they can build the AI skills they need to thrive in these transformed roles? And I guess how do upskilling efforts differ for an individual who's a beginner with AI versus a new hire at Layer 6 who's looking to build their AI skills? Sumee:Yeah, it's a great question. We're actually employing a multi-pronged training strategy for AI across the organization. Obviously it's customized to your function, your role within the organization, but it takes many formats. It could be trainings, recordings, live, virtual or in-person immersive hands-on sessions, hackathons, longer-term programs and pilots, et cetera. Across the gamut, depending on the role you're in, depending upon the function you're in. I'll maybe talk about a few initiatives, what we've rolled out across the organization. The first one I'll highlight is TD Thrive, which is our enterprise learning platform. It has dozens of AI courses that are available on demand to every TD colleague, and these cover a broad spectrum of topics from one-on-one sessions like getting started on LLMs to very advanced, architecture of agentic systems, as an examp...

With brands being defined by every customer interaction, who is really in charge of your customer experience: your C-suite, or your frontline employees?Agility requires more than just the right technology; it demands a culture where empowered teams can make decisions and respond to customer needs in the moment.Today, we're going to talk about building a brand from the inside out, focusing on the powerful connection between internal culture and external customer experience. We'll explore:- How a "reverse pyramid" leadership model can directly impact customer experience and brand perception.- Translating core values into an operational framework that empowers employees and fosters accountability.- The principles of scaling a culture of empowerment as a brand grows from a single location to a global presence.To help me discuss this topic, I'd like to welcome Rick Rosenfield, Co-Founder at California Pizza Kitchen, and author of the new book, The California Pizza Kitchen Story. About Rick RosenfieldRick Rosenfield is the co-founder of California Pizza Kitchen and a former federal prosecutor and defense attorney. He helped grow CPK to 265 restaurants and a national retail line while shaping a new era of American casual dining. His forthcoming memoir blends legal battles, entrepreneurial inflection points, and lessons in partnership and culture.Rick Rosenfield on LinkedIn: https://www.linkedin.com/in/rickrosenfield---------- Resources ---------- California Pizza Kitchen: www.rickrosenfield.comThe Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect 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://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe 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 Hosted on Acast. See acast.com/privacy for more information.

Anthropic had a really bad week.

No one gets fired for doing what McKinsey says. That's not a joke, it's the actual product being sold in half of enterprise consulting: credibility a board can point to when a decision goes wrong. This week, Tim Lidman, founder of Clyde and formerly of a collaboration platform absorbed into Accenture in 2021, argues that AI won't replace that function — and says so without flinching, even though it means some prospective customers will balk.Tim also shares why he thinks “human in the loop” is such a dehumanizing turn of phrase.The conversation moves through the politics that quietly derail group decisions, the trap of building for experts at the expense of everyone else, and a real case where a district court judge canceled a trial because both sides had submitted AI-generated arguments neither side had bothered to check.And this episode ends somewhere unexpected: a founder building frontier AI for a living who gives his own children zero screen time, and why he thinks boredom is the skill nobody is protecting anymore.Mentioned: Deloitte Canada's GenAI snafu citing made up research• • Judge cancels trial after finding out both sides use AI

Marketing strategy, creative strategy, and bold advertising: Hattie Matthews explains how to build braver, more effective campaigns without the fear of risk. The Confidence Gap can be a silent killer in modern marketing.Caught between tight budgets, short-term pressures, and complex stakeholders, it's easy to default to safe, forgettable "digital beige."Hattie Matthews will share her framework for building a Confidence Engine - using an intentional mix of GenAI, rapid prototyping, and neuroscience to validate brave, emotionally driven work before committing media spend. The session will cover how to minimise risk, bypass algorithmic bias, and build the evidence to get bold creative signed off by senior leadership.Hattie co-founded Uncharted, a global creative agency built for the future, bringing together human creativity and technology to give brands the confidence to set out without fear.An experienced leader in marketing, growth, and innovation, she was formerly managing partner at Karmarama, growth lead at Accenture and Non-Executive Director to HealthTech Start-Up of the Year, eargym. She is an active supporter and former trustee of The White Ribbon Alliance, advocating for women's healthcare in developing countries. She is also an active member of WACL, helping drive gender equality in the marketing and communications industry.00:00 — Introduction03:22 — Why marketing feels so beige07:16 — Seeking out human emotion11:43 — Avoiding algorithmic bias14:20 — Rapid prototyping with AI17:31 — Pre-testing and derisking ideas20:53 — Navigating the boardroom28:28 — Q&A begins54:08 — Performance vs ideas debateIf you enjoyed this, please like and subscribe - it genuinely helps us reach more marketers like you.Join 35,000+ marketers getting our weekly newsletter (it's freeeeee): https://themarketingmeetup.comListen on Apple Podcasts: https://podcasts.apple.com/us/podcast/marketing-meetup-podcast/id1365546447Listen on Spotify: https://open.spotify.com/show/5QvmFdxg5pMwsfPkKjhXl9The Marketing Meetup thrives for many reasons, but one of the crucial reasons we're able to do what we do is because we have the support of some incredible individuals from some equally inspiring companies. Below is the list of our partners in crime: our amigos. All we have to say is a big, massive, thank you.Cambridge Marketing College + Frontify + Planable + Mailchimp + Wistia + Prismic + Canva

Why do so many PhDs and senior professors feel guilty… about not keeping on top of the literature?I've struggled with this for 20 years.And I don't think it's because we're not trying.It's because the way we do this today… just doesn't work.⸻One of the challenges that we have is keeping on top of the literature in our respective areas.There's too much.A lot of it doesn't feel right.Some of it is just not that relevant.And, yes, some of it is junk science.⸻So what do we do?We fall behind.And we carry that around.⸻What we're trying to do with the R3ciprocity platform is fix that.Not with more information.But by changing how you engage with it.⸻You choose between two abstracts.You pick which one you like.It's a simple game.You earn points.You play.⸻We've had this on the platform since November.I've integrated it into my classes.And what I've seen has been mind blowing.⸻Undergraduate business students: • built a 3D model of the brain • created a functional subletting appI have never seen this before.⸻But there was something missing.The abstracts were random.⸻So we added a new layer.A filter.Machine learning in the background.Classic reinforcement learning.⸻Now it learns what you care about.Very quickly.⸻I tried it last night.The first article it showed me was my advisor.The second was a leading scholar in my field.⸻I was blown away.⸻And this is important:This is not Gen AI generating a bunch of crap.This is the real scientific corpus.Real articles.⸻But now it's: • fun • unintimidating • fast⸻For the first time in 20 years…I feel like I can stay on top of the literature.In tiny little intervals.In a way that actually fits how life works.⸻It's honestly a bit dangerous…because it feels like a game.But I'm actually doing my work.⸻I'm extraordinarily enthusiastic about this.I really think this changes the research world.⸻If you're honest… what's your biggest struggle in keeping up with the literature?

What if the biggest obstacle to AI-driven ROI isn't the AI itself, but everything you're feeding it?Agility requires not just the speed to adopt new technologies like AI, but the clarity to recognize when foundational elements, like your data strategy, must be fixed first to unlock true potential.Today, we're going to talk about the intense pressure on revenue and marketing leaders to demonstrate ROI from AI. We'll explore the counterintuitive idea that simply chasing 'better AI' is a distraction, and that the real gains come from addressing the foundational data gaps that plague most organizations.To help me discuss this topic, I'd like to welcome, Ann Davis, Chief Revenue Officer at Crunchbase. About Ann DavisAnn Davis is the Chief Revenue Officer at Crunchbase, where she leads global sales strategy and drives adoption of the company's AI-powered predictive intelligence solution. With more than 30 years of experience scaling enterprise sales teams at high-growth SaaS companies, Ann brings deep expertise in data analytics, customer engagement, and revenue growth. She joined Crunchbase from Google Cloud, where she led sales for data analytics solutions—including BigQuery and Vertex—across multiple U.S. regions. Prior to that, she was Vice President of Sales at Looker, playing a key role in expanding its enterprise business ahead of its acquisition by Google. At Crunchbase, Ann is focused on helping customers unlock the power of AI-driven market insights to anticipate shifts and act faster.Ann Davis on LinkedIn: https://www.linkedin.com/in/anndavis3/---------- Resources ---------- Crunchbase: https://www.crunchbase.comThe Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect 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://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe 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 Hosted on Acast. See acast.com/privacy for more information.

Open AI ha annunciato il rilascio di 3 nuove versioni di GPT-5.6 e lanciato ChatGPT Work. Con Vincenzo Cosenza, esperto di AI, vediamo in cosa si differenziano tra loro e quali caratteristiche hanno questi nuovi modelli e cosa sappiamo di Fable 5, il modello di intelligenza artificiale più potente di Anthropic per il pubblico.Cresce il mercato dell'ettronica di consumo in Italia che nei primi 5 mesi dell'anno ha fatto registrare un +5% rispetto allo stesso periodo dell'anno scorso. "Tra i settori più performanti quello dei notebook che segna un +20%, stessa cosa anche per i tablet, che l'anno scorso sembravano un prodotto dato quasi per morto" spiega Fabrizio Marazzi, Product Leader Western Europe in Nielsen IQ.Compriamo on line sempre più spesso (il mercato vale circa il 30% del totale acquisti) e sempre più spesso cerchiamo prodotto tramite i sistemi di Intelligenza Artificiale Generativa. "È un cambiamento anche antropologico" dice Nereo Sciutto, fondatore e amministratore delegato di Webranking.E come sempre in Digital News le notizie di innovazione e tecnologia più importanti della settimana.

Record companies want AI music to be disclosed And they've got a bunch of other groups onboard too – American Association of Independent Music, the Grammys, SAG-AFTRA, and the Human Artistry Campaign. They want two different classifications: 1) AI-Generated. 2) AI-Assisted, which would mean it was created primarily by humans but used AI for some elements. They have designed a symbol too, which they would expect to be on the cover art like an "explicit content" warning. The recording industry says fans are open to listening to AI music, they just want to know it's AI generated. So, if we're being a purist... is a synthesizer generated? Spotify today will show AI usage in song credits and Apple Music has introduced “transparency tags”, but it seems this label requires someone to say it was AI generated, rather than proving it was human generated. The EU is holding its position to increase competition in the tech space The accounting and workplace software giant SAP is going to make it easier for companies to switch to a rival service, all because of the EU's competition rules. The decision means they avoid a massive fine. They're going to make it easier to cancel a contract, as well as export data. Apple too lost its latest court case challenging the EU Digital Markets Act. The court has ruled that the iOS operating system and the App Store are "gatekeepers". That means they'd be forced to allow alternative app stores, direct installs of apps, alternative payment systems, different web browsers, and access to hardware features like tap-to-pay and more. iMessage though is not designated as a gatekeeper, which means we won't see the EU force the blue chat bubbles to become more interoperable. Apple says this will "erode decades of privacy and security protections". LISTEN ABOVE See omnystudio.com/listener for privacy information.

A strong learning culture is key to fulfilling the AI promise, aligning AI learning with business goals, leadership support, collaboration, accessible resources, and recognition to drive innovation, adoption, and measurable results.That's the key take-away message of this episode of the Wise Decision Maker Show, which discusses why the success of Gen AI depends on a learning culture revolution.This article forms the basis for this episode: https://disasteravoidanceexperts.com/gen-ai-promise-depends-on-a-learning-culture-revolution/

Life sciences are at a turning point, where scientific innovation, regulatory pressure, and patient expectations collide with unprecedented advances in data, AI, and digital platforms. IT is no longer a supporting function but a critical driver of how therapies are discovered, developed, scaled, and delivered safely and at speed.This week, Dave and Rob wrap up our State of Life Sciences mini-series with Thorsten Rall, Global Industry Lead for Life Sciences at Capgemini and together, they connect the dots across the series, exploring how AI, data and innovation are accelerating drug discovery, transforming med tech, modernising manufacturing and improving patient outcomes, all built on a strong digital foundation. TLDR00:27 – Introduction and conclusion of the Life Sciences mini-series 02:16 – Key insights and lessons from the previous episodes on the Life Sciences landscape 21:18 – Building resilient, efficient and future-ready operations 34:35 – Creating integrated, patient-centric healthcare experiences 43:15 – Why the Digital Core is the foundation for transformation and innovation 53:21 – Final reflections: the future of Life Sciences and the key takeaways 54:53 – Weekend BBQs, Thorsten's daughter's theatre performance, and the role of R&D HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/with co-host Thorsten Rall: https://www.linkedin.com/in/thorsten-alexander-rall-b232185/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

In this episode, we step back from our case study (covered in Episode 1 Parts One and Two) to address a key question: how does GenAI compare to technology-assisted review (TAR)? David Beck (Head of eDiscovery UK & EMEA), Meghan Ryan (Senior Manager, eDiscovery) and Danbee Kim (Head of Digital Legal, US) cut through the hype to explore how these technologies work in practice. They examine why TAR remains central to large-scale review - particularly for precision, consistency and defensibility - and where GenAI adds value, including contextual insight and early case analysis. Drawing on real-world experience, they show why GenAI is often reinforcing (not replacing) TAR, and reframe the debate around a more practical question: what is the right approach for the matter, the data and the client?

We just returned from three inspiring days at AI in the Alps, and in this episode, we dive into the most exciting breakthroughs and honest challenges facing industrial AI today. I share my firsthand impressions of revolutionary tools like TiRex-2, and we unpack what agentic AI really means for engineering, from breaking down data silos to transforming anomaly detection. Alongside Stefan Suwelack from Renumics, we discuss why skepticism has given way to optimism, how data infrastructure is finally catching up, and what the future holds for AI-driven organizations. The conversation is loaded with real-world examples, candid reflections, and a look at the evolving balance between sovereignty, open source, and big tech. Whether you're an engineer, decision-maker, or just curious about the future of AI in industry, this episode offers practical insights and a glimpse into what's next.

In Episode 3 of Season 16, Sabrina Szeto speaks with Dr Cormac Purcell, astrophysicist turned geospatial scientist at BolgiaTen. BolgiaTen's project, developed through the GenAI for Geospatial Challenge, focuses on marine domain awareness: helping users understand where vessels are, what they are doing, and whether their reported movements can be trusted. The project addresses a major challenge in maritime intelligence. Automatic Identification System, or AIS, data is widely used to track vessels, but it is based on an open trust system and can be affected by GPS jamming, spoofing, or deliberate manipulation. This matters because incorrect or falsified vessel positions can have real consequences, from insurance risk and sanctions compliance to dark port calls, ship-to-ship transfers and activity in protected marine areas. In this conversation, Cormac explains how BolgiaTen combines AIS data, vessel context, ownership and maintenance information, and Earth observation data from open and commercial sources to build a more reliable picture of vessel behaviour. The episode also explores the role of generative AI in the project. BolgiaTen uses foundation models to accelerate vessel detection in Earth observation imagery and generative AI to support a natural language interface for the analysis pipeline. What once required specialist analysts to process imagery, interpret results and answer business questions can increasingly be supported through an agentic interface that helps orchestrate the workflow. Cormac also shares how AWS cloud credits helped the team move beyond an isolated prototype towards a more professional deployment pathway, closer to the environment used by their partner Lloyd's List Intelligence. The credits supported experimentation, integration and a higher technology readiness level prototype that can be tested with customers more quickly. The conversation also covers the importance of customer education: helping business users understand what Earth observation can and cannot do, how resolution, cadence, coverage and cost shape what is possible, and why clear communication of uncertainty is just as important as the underlying science. Host: Sabrina Szeto Guest: Dr Cormac Purcell Organisation: BolgiaTen Project focus: AI-enabled maritime domain awareness Series: Scene From Above, Season 16 – GenAI for Geospatial Challenge Takeover

Luke Rhinehart, "L'Homme-Dé", libre arbitre et algorithmes : et si un roman de 1971 sur le hasard était la meilleure introduction aux perroquets stochastiques et aux iA de recommandation ?Pour cet épisode spécial, Louis (La tech entre les lignes) et Laura (Mémoire vive) unissent leurs chroniques pour explorer ce livre culte, ses résonances avec l'iA, et la grande question de l'été : à l'ère des algorithmes, qui choisit vraiment pour nous ?La tech entre les lignes, la chronique qui décrypte les articles tech, animée par Louis de Diesbach.   ***** À PROPOS DE TRENCH TECH *****LE talkshow « Esprits Critiques pour Tech Ethique »Écoutez-nous sur toutes les plateformes de podcast

Fable 5 is out, but it'll be gone (again) before you know it. While Anthropic's powerful Mythos 5 is out for the masses for another 5 days, it might be their Sonnet 5 model that's your next daily driver. Even better news? If you're an iPhone user, your OpenClaw and Cursor accounts are gonna get a lot more use. Yeah, it's a short Holiday week in the U.S., but the AI companies didn't stop shipping. From new models to new ways to work, these are 7 new AI features available now that you should be using. Fable 5 and Sonnet 5 Released, OpenClaw on Your iPhone, NotebookLM's New Video Format and 7 More AI Features You Need NowNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.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:Anthropic Sonnet 5 Model OverviewSonnet 5 vs Opus 4.8 PerformanceAnthropic Model Naming Confusion ExplainedSonnet 5 Pricing and API Cost AnalysisSonnet 5 Use Cases for Daily WorkNotebookLM 60-Second AI Video GenerationNotebookLM Cinematic Video Format ReviewChatGPT Finance Feature: Plaid IntegrationChatGPT Finance Rollout and Security DetailsTwitter/X MCP Model Context Protocol LaunchMCP API Access for AI Agents ExplainedOpenClaw iOS and Android App LaunchOpenClaw Mobile Bridge Setup and UsageCursor iOS App for AI Code AgentsCursor Cloud Agents and Mobile NotificationsAnthropic Fable 5 Limited-Time AvailabilityFable 5 Cost Structure and GuardrailsAnthropic Frontier Models and US RegulationsTimestamps:00:00 Recent AI developments and updates05:54 API pricing and usage strategies07:19 Choosing the right AI model11:17 Notebook LM paid user rollout16:17 ChatGPT's new personal finance tool17:35 Integrating ChatGPT with Plaid for Finance21:35 Streamlining MCP setup for developers24:40 Introducing the OpenClaw monitoring app29:33 Talking about upcoming super apps32:03 Fable 5 availability announcement34:43 Building projects with Fable 5Keywords: Anthropic, Fable 5, Sonnet 5, Opus 4.8, Haiku 4.5, Mythos 5, Large Language Models, AI model naming, AI benchmarks, agentic models, adaptive thinking, 1 million context window, token output, AI hallucination rates, Anthropic subscription plan, AI API pricing, AI free plans, ChatGPT Finance, Plaid integration, finance AI assistant, OpenAI personal finance, financial data privacy, iOS AI apps, Android AI apps, OpenClaw, open source AI agent, AI mobile companion app, NotebookLM, AI video generation, vertical video, cinematic video, Gemini paid users, educational AI videos, doom scrolling video format, AI-powered coding agents, Cursor, cloud AI agents, remote desktop AI, iOS live activities, PR merge on mobile, X API, Twitter MCP server, social listening AI, developer AI tools, AI super app, project Glasswing, US AI export controls, government AI regulation, classifier guardrails, secure AI data, AI for marketers, subscription replacements, Codex, Claude cowork, Claude code, Codex remote control, always-on AI.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 

Artificial intelligence is changing fleet management faster than almost any technology in recent memory. From answering questions about preventive maintenance compliance to analyzing technician productivity and generating reports in seconds, AI is helping fleet professionals spend less time searching for data and more time making informed decisions. In Part 2 of this conversation, Josh Turley, CEO of RTA, and Marc Canton, Vice President of Fleet Strategy, explore how AI is reshaping fleet management software and why purpose-built, fleet-specific AI is becoming the next evolution of modern fleet operations. They discuss the limitations of general AI tools like ChatGPT and Claude, the importance of fleet context and secure data access, and how conversational AI is making fleet reporting, maintenance analysis, and operational insights easier than ever. Whether you're exploring AI for fleet management, looking to improve fleet reporting, or wondering how artificial intelligence can help your maintenance operation, this episode offers practical strategies that fleet leaders can begin using today. In This Episode, You'll Learn: Why AI is becoming one of the most valuable tools for fleet managers and fleet management analysts How AI can simplify preventive maintenance reporting, technician productivity analysis, fuel reporting, and other routine fleet management tasks Why general AI tools need additional context to provide reliable fleet management recommendations How combining multiple AI models can improve accuracy and reduce hallucinations A simple prompting technique that encourages AI to ask clarifying questions before generating reports, presentations, or policies Practical ways fleet leaders can use AI to save time, improve decision making, and reduce administrative work How embedded AI within fleet management software can eliminate manual reporting and provide instant operational insights Why conversational reporting is changing the future of fleet management technology Whether you're just beginning to explore artificial intelligence or already using AI in your fleet operation, this episode provides practical ideas for improving productivity while helping your organization make faster, more informed decisions. Speaker Bios Josh Turley — CEO, RTA: The Fleet Success Company Josh Turley is the CEO of RTA: The Fleet Success Company. His passion is helping people work ON their fleets, rather than IN them. He is a little crazy about company culture and believes it is the most important thing a company can get right if they want to experience clarity, confidence, and peace of mind instead of chaos and stress. That belief is at the core of what drives the work at RTA, which currently helps nearly 700 public fleets succeed. Josh is the co-author of The Fleet Success Playbook, the host of The Fleet Success Show, and a frequent speaker at fleet events nationwide. Marc Canton — VP of Fleet Strategy, RTA Fleet Marc Canton brings more than 20 years of experience in university transportation, logistics, and government fleet management and consulting. He currently leads fleet strategy at RTA, where he is building the FMIS of the future. Marc takes a data-driven approach to optimizing fleet operations with a focus on high availability and efficiency, and is committed to advancing the industry through education and collaboration. Looking to take the next step to fleet success? Start by requesting your free copy of The Fleet Success Playbook. Written by fleet professionals for fleet professionals, the Playbook breaks down the four key pillars of fleet success, and gives you the tools you need to build a truly great fleet. Request your free (yes, really, free!) copy here: https://rtafleet.com/resources/fleet-success-playbook?utm_source=simplecast&utm_medium=footer_notes&utm_campaign=episode_213 Control fleet chaos with RTA Fleet360, proven software designed by fleet managers for fleet managers: https://rtafleet.com/book-a-demo?utm_source=simplecast&utm_medium=footer_notes&utm_campaign=episode_213

Joanne Chen, VP of Data and AI at SimplePractice, joins The Tech Trek to talk about what it takes to build AI data products in a regulated, sensitive domain where privacy, consistency, monitoring, and customer trust have to be designed from the start.This conversation gets into why AI product development feels different from traditional software, how teams should think about quality control, and why not every valuable AI solution needs to be GenAI.Practical Takeaways• AI products need defense in depth, especially in healthcare, where privacy, confidentiality, and security cannot depend on one layer of protection.• The core product questions still matter. What customer pain does this solve, who benefits, and what does it take to ship responsibly?• AI changes the development life cycle because outputs are not always deterministic and quality can degrade after launch.• Teams need monitoring, validation, and a plan for edge cases before putting AI features in front of customers.• AI literacy is becoming part of every role involved in building, marketing, supporting, and operating software products.Timestamped Highlights00:00 Joanne Chen on AI data products, deterministic outputs, and safely shipping AI features01:20 What SimplePractice does for mental health practitioners and group practices02:30 Why healthcare AI needs multiple layers of risk protection05:00 What makes an AI data product different from a traditional data product08:15 Why stakeholder expectations around AI have widened so much10:40 How AI changes the work across engineering, CS, marketing, and support13:10 Where AI can help reduce tedious administrative work in healthcare16:45 Why leaders need to keep their hands dirty with new AI toolsOne Line That Stuck“Keeping hands dirty is important.”Subscribe to The Tech Trek for more conversations on how technical teams are building, operating, and adapting around AI, data, product, and engineering execution.

Life sciences are at a critical inflection point, where scientific innovation, regulatory demands, and patient expectations converge with advances in data and artificial intelligence, positioning IT as a central driver of faster and more effective drug discovery and clinical development.This week, Dave and Rob continue with part 3 off the Life Sciences mini-series with Predrag Angelovski, VP, CTO at Healthcare Informatics at Philips to exploring how MedTech products are more and more becoming connected platforms, combining hardware, software and services.TLDR00:21 – Introduction with co-host Thorsten Rall01:00 – Hang out: Esmee joins and Rob is lost at a train station03:00 – Dig in: Life Sciences mini-series, Part 304:57 – Conversation with Predrag Angelovski50:56 – Travelling to Europe, agents vs. agentic, and the age of intelligence GuestPredrag Angelovski: https://www.linkedin.com/in/predrag-angelovski/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

Send us Fan MailSchedule an Rx AssessmentFresh off the NHIA (National Home Infusion Association) Conference, we're talking Revenue Cycle Management for infusion centers and home infusion pharmacies!In this episode as part of our Infusion Revolution Series on the Bottom Line Pharmacy Podcast, we sit down with Chris Hilger, CEO of SolisRx to break down:The three core areas of revenue leakageData fundamentals through the data mountain blueprint How infusion providers can use their own data to intercept denials before they happenWhy chasing Gen AI before you've built the fundamentals is a costly mistakeAnd more!More About Our Guest:Chris Hilger is the CEO of SolisRx and a leading voice on analytics in the infusion industry. He is a contributor to NICA on data analytics and AI adoption in infusion operations.Chris's experience comes from driving data strategy and implementation across a dozen infusion clients. He speaks and consults on analytics, revenue cycle visibility, and operational intelligence for stakeholders across the industry and has a decade of experience across healthtech, including a Master's in Health Data Science from Harvard.Stay connected with Chris and SolisRx: Chris' LinkedInSolisRx WebsiteSolisRx LinkedInStay connected with us: FacebookTwitterLinkedInScotty Sykes – CPA, CFP LinkedInScotty Sykes – CPA, CFP TwitterBonnie Bond – CPA LinkedInBonnie Bond – CPA TwitterMore resources on this topic: Podcast - Driving Independent Pharmacy Profitability in 2026Podcast – Opening an Infusion PharmacyPodcast – KPIs for the Rapid Growth Pharmacy

Here's a little secret: ChatGPT tasks are the Gateway Agent.

AI thrives when organizations pair gen AI pilot programs with employee participation, using real-world feedback to refine tools, reduce risks, build trust, and accelerate successful adoption at scale.That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about why Gen AI thrives when employees lead the charge.This article forms the basis for this episode: https://disasteravoidanceexperts.com/gen-ai-thrives-when-employees-lead-the-charge/

Cheryl Ericson is a veteran, in every sense of the word. Someone who has seen and experienced a lot in the CDI profession—and so has a wealth of knowledge and wisdom to confer. I go back a long way with Cheryl, to early ACDIS days when she was the lead educator of the CDI Boot Camp and developed the organization's educational curriculum. She's had a few stops since then but settled in nicely as Senior Director of Clinical Policy and Education at The Brundage Group. Cheryl is a shrewd, incisive observer of the CDI field, with a rich history of where we've been but also where we need to go. Recently she's weighed in on some big mid-revenue cycle topics for ICD-10 Monitor which I read with avid interest (and recommend you do too).  In this week's episode we hit on a few of those topics, along with a bit of a look into her life and career. Listen in as we discuss:  Formative background in nursing and entry point into CDI at MUSC. Thoughts on the new/2026 ACDIS/AHIMA query brief (currently in draft stage)--concerns with clinical indicators, her belief they are unique to each patient and may not meet guidelines established by payers: “It is not about determining if a condition exists; it should be about deciding if the physician has a reasonable expectation to treat the condition,” she writes. “Rather than asking if the condition exists, CDI and coding professionals should determine if it ‘was it reasonable for the provider to diagnose and treat the condition as if it exists.'” Pushing query compliance down to the end user—is this how the new brief reads, and if so, is it a fair expectation? Artificial intelligence: State of current tools and limitations. “GenAI tools show great promise in many areas, but for now, it does not appear capable of performing the type of complex critical thinking required for accurate inpatient coding and billing,” Cheryl observes. (Incorrect) payer allegations of hospital “upcoding,” using the example of acute blood loss anemia ACDIS heydays: A look back on teaching and educating. Her personal health journey, story of breast cancer and her husband's simultaneous serious illness, and how it transformed her outlook on life.  Sharing wisdom and lessons learned: Career advice to a new or young CDI professional—what has she learned to pass along to the next generation?

In Episode 2 of Season 16, Julia Wagemann speaks with Reda Haidar, Commercial Director at RASID. RASID's project, GoPilot, is an agentic Earth observation platform developed through the GenAI for Geospatial Challenge. It allows users to ask questions in natural language and receive clear, evidence-backed geospatial intelligence without needing to manually search satellite archives, download imagery or run complex workflows. The project began with a focused use case around methane monitoring, using RASID's Methane Mapper system to detect methane emissions from satellite imagery. During the Challenge, the team realised that the same architecture could support a much wider set of Earth observation workflows, from agriculture and environmental monitoring to infrastructure analysis and change detection. In this conversation, Reda explains how generative AI acts as the reasoning layer in GoPilot: understanding user intent, selecting the right tools, retrieving relevant data, coordinating analytical workflows and synthesising results into actionable answers. The episode also explores the role of AWS cloud credits in helping the team experiment at scale, including the generation of more than 100,000 synthetic methane plumes, model training, and the development of an agentic geospatial platform using AWS tools and infrastructure. Host: Julia Wagemann Guest: Reda Haidar Organisation: RASID Project: GoPilot Series: Scene From Above, Season 16 – GenAI for Geospatial Challenge Takeover

When AI is at its best, the conversations can feel uncanny—almost magical in their accuracy, relevance, and speed. For that you can thank the AI agents that work together behind the scenes to search, reason, and sift through all your content to get you what you need to do your job. We talk with Jongmin Baek and Marta Mendez, two Dropbox machine learning engineers, about building conversational AI that's helpful, useful, and grounded in your team's shared context, so you can spend more time on the work that really matters. ~ ~ ~  Working Smarter is brought to you by Dropbox. Find, organize, and share your work—all in one place—with context-aware AI from Dropbox. You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai This show would not be possible without the talented team at Cosmic Standard: producer Ben Montoya, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrator 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!

SUMMARY: As AI within the Enterprise matures, we look at 10 concerns and challenges that are still causing Chief AI Officers to worry about success in the future. SHOW: 1040SHOW TRANSCRIPT: The Enterprise AI Show #1040 TranscriptSHOW VIDEO: https://youtu.be/RyB4m17YK_4SHOW SPONSORS:Nasuni - Activate your data for AI and request a demoOutShift by Cisco - “Scaling Out Superintelligence”  The Internet of Cognition architectureShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW NOTES:THESIS: After spending time with a number of Enterprise companies, what are a list of challenges and concerns they still have in implementing GenAI across a broad set of use-cases within the Financial Services industry?Everybody started with what was available (e.g. CoPilot)Enterprise implementations (now) aren't autonomousRising costs are the looming concernGovernance is a rising concernMeasurements of improvement are available, but variedExplaining measurements is complicatedExplaining trust is more complicatedUse-cases are fragmented, but there if you apply the technology, but not always obviousDe-centralized (shadow AI) to Centralized to De-centralized (semi-controlled) The learning curves are very asymmetrical across teamsNot everyone has access to Mythos or GPT-5.5-Cyber (yet)FEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow