Podcasts about ai strategy

An AI agent can finish a task and still violate the rules that matter most. In supply chain, that gap can affect cost limits, approved suppliers, compliance requirements, safety protocols, and escalation paths. In this episode of Supply Chain Now, Scott W. Luton speaks with Vin Vashishta, CEO and AI strategist at V-Squared, about intent contracts, audit trails, workflow reorchestration, tokenomics, semantic layers, and evidence-based AI strategy. Vin explains how to evaluate AI by the value it creates, budget for recurring usage costs, work with imperfect information, and require consultants to connect every recommendation to evidence, risk, mitigation, and business-specific ROI. Jump into the conversation: (00:00) Introduction (05:38) Intent contracts and their role in AI agent management (08:38) The need for AI audit trails in supply chain (11:10) CIO considerations for managing AI demand at scale (14:21) Gaps in workflow reorchestration and value quantification (17:00) Lessons from the semantic layer meme on imperfect data (19:36) The outcomes an AI strategy should deliver for a specific business (25:03) AI training programs generating the strongest market response (26:49) Ways to follow Vin and learn more Additional Links & Resources: Connect with Vin: https://www.linkedin.com/in/vineetvashishta/ Learn more about V-Squared: https://vsquaredai.com/ Vin's LinkedIn Post about Managing AI Agents: https://bit.ly/Managing-AI-Agents The cost of intelligence: How CIOs can manage AI demand at scale: https://mck.co/3TUD3mz Vin's LinkedIn Post about the Cost of Intelligence: https://bit.ly/Vin-on-CIO-Managing-AI Vin's LinkedIn Post on The Semantic Layers: https://bit.ly/Vin-on-Semantic-Layers Vin's LinkedIn Post on AI Strategy: https://bit.ly/Vin-on-AI-Strategy-2026 Vin's Training & Certification Classes: https://datascience.vin/ Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K WEBINAR- Operational AI in the Supply Chain: How context empowers agents and humans to operate side by side: https://bit.ly/4x7Vd2Z WEBINAR- You Can't Manage What You Can't See: Using Visibility, KPIs, and AI to Optimize Logistics Operations: https://bit.ly/4ql6iem Gartner Announces 2026 Rankings of the Global Supply Chain Top 25: https://www.gartner.com/en/newsroom/press-releases/2026-06-17-gartner-announces-2026-rankings-of-the-global-supply-chain-top-25 This episode was hosted by Scott Luton and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/ai-agents-semantic-layers-cio-leadership-1629 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI adoption isn't as simple as choosing a tool and training your team to use it. In Part 2 of this three-part AI series, Dr. Drew Brannon and Michael Rudinsky explore the mindset challenges leaders and employees face as AI reshapes the workplace. They discuss fear, uncertainty, resistance, and the fundamental question many employees are asking: "Where do I fit?" Most importantly, they explore how leaders can help their people see AI not as a threat, but as a tool to amplify their strengths and unlock greater potential.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Turn AI Off and Your Business Won't Miss a Beat The AI Bubble Meets Your Contract (Scott Bickley, Info-Tech Research Group) The Discount They Can Take Back Overnight We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

AI is reshaping jobs, workflows, and the way organizations operate. In this episode, Dean Newlund talks with Nadav Wilf, founder of ZeremAI, about how CEOs can build an AI strategy that drives business results.   In this episode, Dean Newlund and Nadav Wilf discuss: Where AI is changing jobs and responsibilities The three stages of AI use inside a business Turning AI productivity into deeper operational automation How different approaches to AI regulation affect innovation What AI companions could mean for human connection   Key Takeaways: Start with business needs and workflows when deciding where AI can create the most value. Move beyond basic prompting by progressing toward automated and AI native systems as your organization develops its capabilities. Look for entire responsibilities AI can take over rather than using it only to make existing tasks faster. Understand the tradeoffs behind AI regulation and how approaches in the United States, European Union, and China shape innovation, risk, and control. Be intentional about human relationships as AI companions become more common and consider how technology can support rather than replace human connection.   "AI is incredibly exciting. There's so much opportunity and things you can do, and there's a lot [you] can't do still, and it's about creating that relationship and finding that balance.” — Nadav Wilf   About Nadav Wilf: Nadav Wilf is an entrepreneur, investor, and the CEO of ZeremAI, a company at the forefront of AI implementation and systems automation. With a career spanning over two decades, Nadav is a three-time founder with multiple successful exits who has dedicated his life to understanding how technology can unlock human potential. Rather than viewing AI as a replacement for human talent, Nadav approaches it as a catalyst for a high-performance culture, helping organizations restructure their workflows to reclaim massive amounts of productive time. A dynamic speaker and strategic advisor, he speaks passionately about the transition into an AI-first economy, the rise of AI agents, and how leaders can navigate the massive cultural and operational shifts of the modern workplace.   Connect with Nadav Wilf:   Website: https://zerem.ai/ LinkedIn: https://www.linkedin.com/in/nadavwilf Instagram: https://www.instagram.com/nadavwilf/       See Dean's TedTalk “Why Business Needs Intuition” here: https://www.youtube.com/watch?v=EEq9IYvgV7I Connect with Dean:YouTube: https://www.youtube.com/channel/UCgqRK8GC8jBIFYPmECUCMkwWebsite: https://www.mfileadership.com/The Mission Statement E-Newsletter: https://www.mfileadership.com/blog/LinkedIn: https://www.linkedin.com/in/deannewlund/X (Twitter): https://twitter.com/deannewlundFacebook: https://www.facebook.com/MissionFacilitators/Email: dean.newlund@mfileadership.comPhone: 1-800-926-7370 Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it.

AI adoption in supply chain is moving from curiosity to business-critical execution. The companies pulling ahead are not chasing shiny tools. They are finding root causes, cleaning up messy data, and using technology to reduce wasted time across procurement, planning, inventory, and fulfillment.   In this episode of Supply Chain Now, Scott W. Luton and Karin Bursa speak with Wiley Jones, co-founder and CEO of DOSS, about the Enterprise Unleashed series and what leaders should take from the first several conversations. Wiley shares why culture, clarity, and leadership ownership are central to successful AI programs.   The conversation also covers touchless procurement, master data, decision support, workflow redesign, and why the best companies are willing to question how work gets done.   Jump into the conversation: (00:00) Intro (03:52) Favorite outdoor adventures (06:36) How the enterprise landscape is changing (09:54) From AI curiosity to AI of consequence (11:51) Solve root causes, not symptoms (15:16) Major AI developments in supply chain (20:39) Lessons from Enterprise Unleashed (21:44) Putting people and culture first (25:16) Leadership's role in transformation (28:28) Defining success and increasing decision velocity (32:07) What to do when leadership doesn't embrace AI (34:14) What the most innovative companies do differently (37:48) Challenging legacy processes and assumptions (40:56) Doss and the impact of touchless procurement (44:39) Using AI to drive growth (46:00) The future of the AI-native enterprise   Additional Links & Resources: Connect with Wiley Jones: https://www.linkedin.com/in/wileycwjones/ Learn more about Doss: https://www.doss.com/ Connect with Karin Bursa: https://www.linkedin.com/in/karinbursa/ Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K WEBINAR- Operational AI in the Supply Chain: How context empowers agents and humans to operate side by side: https://bit.ly/4x7Vd2Z WEBINAR- You Can't Manage What You Can't See: Using Visibility, KPIs, and AI to Optimize Logistics Operations: https://bit.ly/4ql6iem   This episode was hosted by Scott Luton and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/enterprise-unleashed-biggest-lessons-2026-1626 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jerry Murdock is the Co-Founder of Insight Partners, which manages over $90 billion in assets. Jerry personally backed companies including Twitter, Nest and Docker, while Insight's portfolio includes giants such as Shopify, Wiz and monday.com. Across three decades, Insight has helped produce 55+ IPOs and become one of the most powerful technology investment firms in the world.  AGENDA: 00:00 — Is the AI Bubble About to Burst? 11:00 — Will Half of All Neoclouds Disappear Within 36 Months? 13:00 — Can Open Source Models Actually Beat OpenAI and Anthropic? 22:00 — Are We Entering the Golden Age of Cybersecurity Attacks? 32:00 — Have AI Valuations Completely Lost Touch With Reality? 42:00 — Is AI About to Wipe Out an Entire Generation of SaaS & Private Equity? 47:00 — Should We Ban U.S. Chips From Being Exported to China? 48:00 — Should We Be Fearful of Open-Source Chinese Models? 49:00 — Will Continuous Learning Kill Every AI Model We Use Today? 53:00 — Why Microsoft Remains a Mega Buy 56:00 — Which Mag 7 Giant Would You Short — and Is Apple's AI Strategy a Disaster?  

Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com This episode is brought to you by our friends at Dalia. Who's ready for a cold hard fact? Indeed's pricing model -- and all programmatic job advertising -- is based on driving volume. Not outcomes. Job boards get paid on clicks and applies, not hires. Their incentive is to send you more volume. That's what happens with volume-based pricing models. And all that volume creates exactly what you'd expect: mass inefficiency, mountains of unqualified applications, and wasted spend.  Meanwhile, TA teams know their career site is already their best source of quality applicants who get hired. TA teams invest in their career sites and employer brand, but the outdated technology makes it too hard for people to connect and apply.  Dalia fixes that. Millions of job seekers use Dalia every month to seamlessly connect to employer career sites and apply to jobs using their universal candidate profile. No re-entering information over and over. It's like the ShopPay button, but for jobs. It's secure, it integrates directly into your ATS, and it works instantly on any career site.  Employers using Dalia can double their conversion of career site visitors into qualified applicants and hires. Double the hires from traffic you already have. That's how you start cutting your dependence on Indeed. To learn more, please visit: https://www.dalia.co/audit?utm_source=pos   Key Topics: - AI as a leadership challenge, not just a technology - The importance of mindset shift for AI adoption - Reimagining workflows and organizational structures - The role of human-AI collaboration in future work - Strategies for leaders to become AI-forward - The danger of a finite mindset in AI implementation - The concept of shifting from org charts to work charts - The importance of outcome-driven AI strategies - The role of leadership in fostering innovation with AI - Practical steps for organizations to start their AI journey Chapters: 00:00 Introduction to Disruption and Leadership 02:18 Career Reflections and Lessons Learned 05:03 The Genesis of the Book on AI Leadership 08:18 AI as a Leadership Challenge 12:44 The Finite vs. Infinite Mindset in Organizations 15:40 Identifying Warning Signs of a Finite Mindset 17:52 The Balance of Speed and Strategy in AI Implementation 20:18 Rewriting the Playbook for AI 23:17 The Evolving Role of Human Capital in an AI World 25:43 AI for Humanity: IKEA's Success Story 26:20 Human-Machine Collaboration: The Future of Work 28:02 Evolving Leadership in the Age of AI 30:41 Practical Steps for AI-Forward Organizations 32:18 Understanding AI's Impact on Jobs and Tasks 34:51 Future-Proofing Organizations: Lessons from the Past 39:02 The Uncomfortable Questions for CEOs 43:03 Optimism in AI: Augmentation and New Possibilities      

AI is moving faster than most organizations can keep up, and that uncertainty can create excitement, fear, and resistance. In Part 1 of this three-part series, Mike Rudinsky and Dr. Drew Brannon explore why successful AI adoption starts with people, not technology. They unpack the human side of AI, the importance of clear leadership and strategy, and how organizations can define the roles of both humans and AI.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Putting AI Inside ERP Is a Ferrari Engine on an Old Bicycle Is the Business Finally Taking the Wheel? (Jan Baan, Founder & Chairman - Rappit) ERP Should Propel EBITDA — Not Consume It   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

⛰️ Try Heights Platform, the all-in-one tool for building your online course and community. Start your 30-day free trial → ⁠https://www.heightsplatform.com⁠  In this Founder Story episode, we'll also explore why real positioning is much deeper than changing a headline. So how can you use AI to multiply your team's output, build a company customers can clearly distinguish from the competition, and prepare your business for what comes next? Learn more about Chris DuBois: ⁠https://dynamicagencyos.com/⁠

Apple has emphasized privacy and on-device intelligence over launching a branded large language model or chatbot. Through 2024, Apple's AI features relied on the Neural Engine in A series and M series chips, while research and development expense reached about $29.9 billion in fiscal 2023. Microsoft overtook Apple in market value in January 2024 as investors priced in Azure's AI growth, and Nvidia's gains reflected demand for AI accelerators. Apple reported about $383.3 billion in fiscal 2023 revenue, including roughly $200.6 billion from iPhone and about $85.2 billion from Services. Developers face trade-offs between on-device and cloud AI, with Apple's chip roadmap supporting local inference and cloud providers offering larger models. Founders should design hybrid architectures and monitor Apple's software and hardware events for AI-related updates.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

a16z General Partner David George is joined by Will Gaybrick, President of Product & Business at Stripe, to discuss how AI is changing the way Stripe builds products, organizes teams, and thinks about the future of internet commerce. Stripe has evolved from a payments company into a multi-product financial infrastructure platform, while a new generation of AI companies is growing and monetizing faster than previous software cohorts. Will explains why Stripe sees AI productivity as an opportunity to build more rather than simply cut costs, including how its internal coding agents now generate thousands of pull requests each week. They discuss creating founder-like agency inside large companies, building smaller and flatter teams, and why Stripe believes dramatically more software will be created as the cost of building continues to fall. They also look ahead to agentic commerce, why checkout pages could disappear, the potential return of micropayments, stablecoins as infrastructure for a global economy, and a future where AI agents increasingly buy software and services from other machines.   Resources: Follow Will Gaybrick on LinkedIn: https://www.linkedin.com/in/william-gaybrick-5730347/ Follow Will on X: https://x.com/gaybrick Follow David George on X: https://x.com/DavidGeorge83 Follow Stripe on X: https://x.com/stripe Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI could influence 90% of jobs. David Lloyd says AI literacy is still only around 38%.That gap is where many enterprise AI strategies begin to break.In the latest HR Leaders Podcast episode, I spoke with David Lloyd, SVP Platform Engineering & Chief AI Officer at Dayforce. He explains why HR cannot wait until the end of an AI transformation to address skills, trust and organisational change.Most organisations do not lack AI ideas. They lack trusted data, safe environments and a clear process for deciding which ideas deserve to scale.And even when an experiment works, a harder question remains:Can it scale from one employee to 5,000?5 things you'll learn from this episode:Why three to six months is too long to judge an AI pilotThe three questions that decide whether an AI idea moves forwardWhat is really driving the rise of shadow AIWhy adding AI across a fragmented HR stack creates more chaosHow a three-person governance team can approve ideas in under five days

In today's Cloud Wars Minute, I look at why Oracle is rejecting a single-model AI strategy and embracing a flexible, multi-model future. Highlights 00:03 — Oracle has announced that it's extending its partnership with Google Cloud and will be making Google's Gemini models available across its enterprise AI portfolio. This includes Oracle Fusion Cloud Applications, NetSuite, Oracle AI Agent Studio, and Oracle Cloud Infrastructure, or OCI. 00:22 — In true Oracle style, the company will embed Gemini into business applications and AI agents, allowing customers the flexibility to use Google's models within their existing workflows. At the same time, customers will have the freedom to switch between the various models offered in Oracle's suite. Now, what this is doing is giving customers more choice when they build Fusion-native agents and agentic apps. 00:53 — Oracle and Google Cloud already have a strong relationship, but the broader story here is how Oracle is positioning itself as an AI control plane that delivers outstanding infrastructure without the need to roll out a host of foundation models itself. Now, the company is really embedding itself in this area, and I think it's working out incredibly well for it. 01:17 — The company has really pushed the idea of flexibility, interoperability, and choice. Now, Oracle, from very early on, has really avoided that single-model strategy, saying that's a strategy that's aging quickly, and instead, Oracle's building a platform that can adapt as the AI landscape continues to evolve. 01:40 — I think this really ties in with the ambitions of those enterprises that want to take advantage of rapid AI developments while still controlling their data, applications, and workflows. And that's where Oracle stands out in its ability to bring together infrastructure, applications, and multiple AI models while seamlessly enabling companies to maximize the benefits of the latest AI developments. Visit Cloud Wars for more.

The Broke Agent is joined by Katie Day, founder of the Move Me to Texas team and Houston Unlocked, to break down how she grew a hyper local Instagram account to 45,000 followers in two years. They get into the content buckets and AI workflow behind the account.BAM Camp: https://bamcamp.remindermedia.comThe Broke Agent YouTube Channel: https://www.youtube.com/@thebrokeagent

What if the future of IT isn't about responding faster—but about knowing what's going to happen before it happens? David Raissipour, Chief Product & Technology Officer at ConnectWise joins us for a forward-looking conversation about how AI, agentic automation, and predictive intelligence are reshaping the managed services industry. David shares his perspective on the MSP inflection point, why traditional models of simply adding people, tools, and processes are reaching their limits, and how AI agents can help smaller MSPs compete on a more level playing field with larger organizations.    The conversation explores the evolution from reactive IT to predictive IT, where intelligent systems can identify issues, reason through problems, and execute tasks before they become customer-impacting events. David also emphasizes that this transformation is not an “anti-people” approach—it's a pro-success approach, giving technology professionals the opportunity to move beyond repetitive tasks and contribute at a higher, more strategic level. From the accelerating adoption of AI and dramatically changing response times to the importance of deciding when to buy versus build, David offers practical leadership insights for navigating this next chapter of technology. Plus, we look ahead to ConnectWise's exciting second half of the year and invite MSP and IT leaders to join the ConnectWise AI Agentic Roadshow and Executive Forum Series for conversations around AI, operational scale, and organizational performance. Follow David on LinkedIn and visit connectwise.com/executive-forum-series to participate in a city near you.  Timestamps: Inflection Point 9:20    AI Strategy 18:43 Launched Platform 27:19 Roadshow Series 37:44

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Your Shadow IT Is Actually Your Intellectual Property Why Cloud ERP and AI Are Making Shadow IT Worse, Not Better Today's Implementation Is Tomorrow's Technical Debt   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Chief Strategy Officer Nick Reed unpacks the "architecture of trust," AI-native enterprise transformation, and why staying laser-focused on customer value is central to Bizzdesign's bold AI strategy.Topics Include:Bizzdesign: global enterprise transformation SaaS company with Dutch roots, founded 2000, Main Capital-backedCustomers include HSBC, Shell, KPMG, and Airbus globallyBold 12-month strategy: acquired Mega International and Alfabet from Software AGAcquisitions tripled revenue, created the first true end-to-end enterprise transformation suiteBizzdesign's 18-year recognition as a Gartner Magic Quadrant Leader in Enterprise ArchitectureThe launch of Bizzdesign Unify in April 2026, an AI-native transformation collaboration platform Nick Reed's journey: enterprise software, customer value, M&A strategy, and AI-driven transformationHow Bizzdesign supports planning, design, and governance pillars across the transformation lifecycleHow Bizzdesign Unify complements existing enterprise architecture and portfolio management environmentsWhy Bizzdesign Unify is architecturally different: conversational AI-native experience, not traditional UIAI acts as a co-worker, supporting transformation work and decisions through curated skillsNew experience opens enterprise context to broader stakeholdersBizzdesign Unify bridges the gap between messy whiteboards and governed enterprise dataExample walkthrough: mapping customer service transformation dependencies and impactsGenerative AI creates transformation scenarios grounded in enterprise contextTech stack built on Amazon Bedrock, MCP clients, graph dataBalancing agentic AI and automation with human-in-the-loop accountability"Architecture of trust": permissions, oversight, and decentralized controlPricing shifts from seat-based to AI credit consumption modelClosing advice: stay laser-focused on core customer value creationParticipants:Nick Reed – Chief Strategy Officer, BizzdesignKamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web ServicesJohan Broman – EMEA ISV Head of Solutions Architecture, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

AI was supposed to make businesses faster, smarter, and more agile. Instead, many companies are discovering that AI projects are stalling, pilots are failing in production, and existing technology stacks are becoming even more complicated. In this episode of Today in Tech, Keith Shaw speaks with Tempo CEO Vic Chynoweth about why fragmented SaaS environments, disconnected data, technical debt, and outdated workflows are preventing enterprises from getting real value from AI. They discuss why companies cannot simply layer AI onto broken systems, the difference between becoming AI-relevant and AI-native, why impressive AI prototypes often fail in production, and how the “illusion of intelligence” can make inaccurate results look trustworthy. They also explore whether companies should build or buy AI tools, when organizations need to rethink their technology architecture, and what separates companies successfully operationalizing AI from those being buried by it. Subscribe to Today in Tech for weekly conversations about artificial intelligence, cybersecurity, enterprise technology, and the future of work.

Send us Fan MailArtificial intelligence has become one of the biggest conversations in project management. Much of that conversation has focused on productivity: summarizing meetings, drafting communications, identifying risks, analyzing data, and automating routine tasks.But the value of AI extends beyond productivity.In this episode of Project Management Masterclass, we begin our Project Management Trends 2026 series by examining the strategic value of artificial intelligence and what it means for project leaders.We explore how AI connects to corporate strategy and business value, what the changing demand for AI skills signals about the future of work, and why governance must become part of the conversation as organizations expand their use of AI.Because adopting AI is only part of the challenge. Organizations must also understand where AI is being used, what risks it introduces, who owns the decisions, and whether those investments are actually delivering value.For project managers, the opportunity is bigger than learning another tool. It's understanding how AI, strategy, governance, risk, and execution come together to deliver successful outcomes.The technology may be changing, but the fundamentals of strong project leadership still matter.If you are ready to strengthen the skills that separate project managers from project leaders, explore the Power Skills Accelerator, a course designed to help professionals master the leadership capabilities needed to thrive in complex project environments.Enroll in the Power Skills Acceleratorhttps://www.developpowerskills.com/sales-pageIf you want to assess where execution may be breaking down in your current projects, take the Execution Intelligence Diagnostic to identify gaps across leadership, decision making, and team alignment.Start the diagnostichttps://executionintelligence.scoreapp.com/Join the waitlist for Brittany Wilkins' upcoming book, Execution Intelligence, focused on the mindset, systems, and discipline required to turn strategy into measurable results.Join the book waitlisthttps://makowayconsulting.scoreapp.comTo learn more about how organizations eliminate execution friction and turn strategy into measurable results, visit Makoway Consulting.https://www.makowayconsulting.com Support the showEvery Organization Pays An Execution Tax. Discover Yours:https://executionintelligence.scoreapp.com

Kate Connor, Chief Operating Officer at Moxie Communications Group, joined us on The Modern People Leader. We talked about how Moxie is adopting AI safely, why leaders should automate low-judgment work first, and how to embed AI into the culture without replacing human creativity, judgment, and relationships. ----  Sponsor Links:

Send us Fan MailLinking the Travel Industry is a business travel podcast where we review the top travel industry stories that are posted on LinkedIn by LinkedIn members.  We curate the top posts and discuss with them with travel industry veterans in a live session with audience members.  You can join the live recording session by visiting BusinessTravel360.comYour Hosts are Riaan van Schoor, Ann Cederhall and Aash ShravahStories covered on this podcast episode include:It's reported that some Swiss International Air Lines cabin crew are refusing to include the mandatory mention of the Lufthansa Group ownership in their cabin announcements.Two Iberia and Air Europa planes narrowly avoided a mid-air collision over the Atlantic Ocean after their Traffic Collision Avoidance Systems (TCAS) activated while the aircraft were flying toward each other at the same altitude.JetBlue spends $58.5m on ex Spirit Airlines slots at New York's LaGuardia airport.Saadia Zahidi from the World Economic Forum will become the next Director General at International Air Transport Association (IATA).Emirates rejects the first 10 Boeing 777X aircraft from its order of 270 jets, citing extensive design changes and years of programme delays. Austrian Airlines flight got delayed after crew discovered a man managed to enter the aircraft whilst it was parked overnight at Košice airport in Slovakia.Following other US airlines, United Airlines also introduces a ban on humanoid and animal-like robots on their aircraft. Emirates face a lot of backlash after keeping 373 passengers for 10 hours on an A380 aircraft whilst being stuck on the ground at an incorrect Chinese airport after a diversion.Both Lufthansa and Air France-KLM submit bids for a stake in TAP Air Portugal.A power bank catches fire in an overhead compartment on a China Eastern Airlines airbus whilst it was taxiing to the terminal.Both Navan and Vibe announce launches of Model Context Protocol servers that enable functionality through users' preferred AI environments.BCD Travel invests in Amgine with a specific focus on group booking flow automation.Ethiopian Airlines reports $4.5 BILLION in revenue in 6 months, a 14% rise from the previous period.You can subscribe to this podcast by searching 'BusinessTravel360' on your favorite podcast player or visiting BusinessTravel360.comThis podcast was created, edited and distributed by BusinessTravel360.  Be sure to sign up for regular updates at BusinessTravel360.com - Enjoy!Support the show

Summary In this episode, Francis Brero, VP of AI Strategy at HG Insights, shares insights on how AI is transforming sales, the importance of quality data, and practical strategies for leveraging AI effectively in sales processes.   Key  topics The role of high-quality data in AI-driven sales Transforming customer experience with AI Balancing automation and personalization in sales Success stories of AI implementation in sales Future trends and ethical considerations in AI   Chapters 00:00 The Value of Data in AI 02:02 Customer Expectations in the AI Era 04:24 Leveraging AI for Sales Success 08:16 Misconceptions About AI in Sales 11:47 Balancing Automation and Personalization 15:35 The Evolution of HG Insights 20:18 Innovations in AI Technology 22:26 Ethical Considerations in AI 25:19 Getting Started with AI The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth.Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

For years, AI conversations have centered on efficiency and automation, but what if that's asking the wrong question? In this episode, Banoo and AI strategist Jamie Bykov-Brett explore why the future of professional services won't be defined by replacing people, but by amplifying their expertise. From human-centric leadership to the rise of AI-human "centaur teams," this conversation challenges leaders to rethink how they prepare their organizations for the expertise era.Key topics covered include:Why expertise, not efficiency is becoming the ultimate competitive advantageThe three roles AI can play in an organizationThe essential skills every organization needs to develop Why AI strategies fail without people strategiesWhat professional services firms must do to thrive in the expertise eraLearn more about Bykov-Brett Enterprises and the services they provide. Hosted on Acast. See acast.com/privacy for more information.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   The $1M Project Killed Because a Leader Wouldn't Have Hard Conversations Resistance Isn't a Frontline Problem, It Starts at the Top (Ema Roloff - Roloff Consulting, Natalia Rachelson - Oracle) Your Executives Are Just as Afraid as Your Frontline   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Чи забере AI нашу роботу? Питання банальне. Як і стандартна відповідь, яка нервує ще більше: AI не забере вашу роботу, її заберуть люди, які користуються AI. Насправді світ складніший, ніж заголовки YouTube-відео, і правильних відповідей станом на зараз, скоріш за все, немає. Але є правильніше питання: як використовувати AI, щоб робити свою поточну, наступну або майбутню роботу краще? У цьому епізоді розбираю ідеї з курсу MasterClass "AI Strategy at Work": аудит своєї ролі через AI, чому смак стає головним скілом, готовність команди для менеджменту і бонусом метод Андрея Карпати.У цьому епізоді:- Generation T і три письмові питання для старту- Сигнали: патентні бази, arXiv і Google Scholar замість стрічки новин- Аудит своєї роботи: три категорії задач і ~45% часу- Нескінченна фокус-група з 15 персон перед важливим рішенням- Смак, письмо як мислення і проблема AI-слопу- Для менеджменту: чотири кроки готовності команди і AI paradox з HBR- Бонус: метод Андрея Карпати для кращих відповідей від AI

Send us Fan MailIn this episode, Ken Jacobs, principal of Jacobs Consulting & Executive Coaching, joins host Jason Mudd to discuss how communications leaders can apply proven leadership principles to AI adoption.Tune in to learn more!Meet our guest:Our guest is Ken Jacobs, principal of Jacobs Consulting & Executive Coaching. Ken helps public relations, communications, and marketing leaders become more effective and inspiring leaders through executive coaching and consulting. Before launching his consulting practice, he spent 25 years in leadership roles at leading PR agencies. He also hosts Taking the Lead, a leadership video podcast, and writes the quarterly Taking the Lead column for the Public Relations Society of America's Strategies & Tactics publication.Five things you'll learn from this episode:1. How courageous leaders embrace AI2. Why every organization needs AI guardrails3. How leaders can build AI confidence4. Why listening leads to stronger teams5. How AI and human judgment work together Quotables"If you're not already deep in AI, you're behind, but it's also never too late." — Ken Jacobs“Walk the walk, not just talk the talk.” — Ken Jacobs“True leaders update their knowledge and fluency.” — Ken Jacobs“You as a leader have to be able to ask the right kind of questions.” — Ken Jacobs"Hire smart people and get out of their way." — Jason MuddIf you enjoyed this episode, please take a moment to share it with a colleague or friend. You may also support us through Buy Me a Coffee or by leaving us a quick podcast review.Guest's contact info and resources:Ken Jacobs on LinkedInJacobs Consulting & Executive Coaching websiteTaking the Lead PodcastHow to stay ahead of AI in communications and marketingFour leadership tips to guide you through uncertain timesAdditional resources:What sources feed generative AI answers?What Google AI Mode means for your PR and media strategyHow are AI tools changing PR jobs?Axia's AIVisibility serviceListen to more episodes of the On Top of PR with Jason Mudd podcast.Find out more about Axia Public Relations.If you like this episode, you're going to love this:The best argument for PR? Surprisingly, it's AI95% of AI citations come from PR content Managing communications and PR in the AI eraEmbedded AI: The future of PR and communication workflowsRecorded: July, 2026Support the showOn Top of PR is produced by Axia Public Relations, named by Forbes as one of America's Best PR Agencies. Axia is an expert PR firm for national brands.On Top of PR is sponsored by ReviewMaxer, the platform for monitoring, improving, and promoting online customer reviews.

What You'll Learn in This Episode:In this episode, Patrick Adams is joined by Paul Doyle and Shawna Hondorp for a preview of their sessions at the Lean Solutions Summit. Together, they explore two critical topics shaping today's organizations: developing leaders through intentional systems and using AI to strengthen talent acquisition without losing the human connection.The conversation dives into why leadership development should be treated as a business process rather than a training program, how specific leadership behaviors can be standardized and developed across every level of an organization, and why AI works best when paired with a thoughtful strategy. Shawna also shares practical insights into using AI responsibly in recruiting, emphasizing transparency, compliance, and the importance of maintaining authentic human relationships throughout the hiring process.Whether you're leading a team, developing future leaders, building an AI strategy, or improving your hiring process, this episode provides practical insights for creating stronger leaders, smarter systems, and more intentional organizations.Key Takeaways:Leadership development is a business process—not just a training programStrong leadership is built through intentional behaviors and systemsAI should enhance human connection, not replace itA successful AI strategy requires intentionality, transparency, and trustLinks: https://www.findleansolutions.com/https://www.findleansolutions.com/lean-summit/

Most organizations think they have an AI tool problem. They do not. They have an AI behavioral problem. The licenses get bought, the workshops happen, and by Monday morning, people are back to working exactly as they did before.This episode is sponsored by Deel.Hire, manage, and pay anyone, anywhere: https://www.deel.com/nickdayhr/In this episode of @thehrldpodcast Nick Day is joined by Jamie Bykov-Brett, an AI transformation strategist, TEDx speaker, and co-founder of the Executive AI Institute. Jamie's path into AI started in youth work, supporting young people from marginalized backgrounds into STEM careers. It was there, back in 2014, that he began forecasting how automation would reshape the workforce, discovering along the way that technology adoption rarely fails because of the tools themselves; it fails because people were never taken through the change. That change management lens is exactly what he brings to AI training and organizational transformation today.Nick and Jamie explore why one-off AI workshops rarely create lasting behavior change, and why real transformation starts with human-centric skill development, not the tools. They unpack the "eliminate, automate, delegate" framework for deciding where AI actually belongs in a workflow, why psychological safety is the missing ingredient in most AI rollouts, and how legacy failed change projects can quietly sabotage adoption before training even begins. They also dig into why your most resistant employees might be your best future change agents, why highly technical people sometimes struggle most with AI adoption, why organizations should expect a temporary dip in performance during rollout rather than instant ROI, and what it actually looks like to design an AI learning intervention that turns AI into a daily working habit rather than a novelty.In a world where organizations are under pressure to prove AI adoption is working immediately, this episode makes the case that the real barriers were never technical. They are emotional, cultural, and behavioral, and the organizations that address that will be the ones that actually get results.A must-listen for HR leaders, L&D professionals, and anyone responsible for making AI adoption actually stick inside their organization.Enjoyed this? Check out our sister podcast @thepayrollpodcast for more great content!Guest and Host:Jamie Bykov-Brett's LinkedIn: https://www.linkedin.com/in/jamiebykovbrett/Jamie Bykov-Brett's Website: bykovbrett.netNick Day's LinkedIn: https://www.linkedin.com/in/nickday/Find your ideal candidate with our job vacancy system: https://jgarecruitment.ck.page/919cf6b9eaSign up to the HR L&D Newsletter: https://jgarecruitment.ck.page/23e7b153e7Stay tuned for the next episode of the HR L&D Podcast, brought to you by Nick Day, CEO at JGA Recruitment, landing soon!Timestamps:(00:01) Why AI Training Fails: The Behavior Problem, Not a Tool Problem(03:27) Jamie's Journey: From Youth Work to AI Transformation Strategist(09:05) The AI Adoption Gap: Rising HR Burnout Despite AI Investment(10:47) AI as a Mirror: Why Technology Reflects Your Organization's Culture(14:30) Human-Centric Skills First: Curiosity, Creativity and Critical Thinking(20:31) The Eliminate, Automate, Delegate Framework(23:09) Designing AI Interventions That Actually Fit Your Organization(27:43) Turning Resistant Employees Into Change Agents(33:11) The Hidden Fears Driving AI Resistance(37:03) Case Study: How Insights Achieved a 9.7 NPS on AI Training(39:59) Why L&D Should Expect a Performance Dip Before AI Pays Off(45:43) Rapid Fire: Career Advice, Leadership, and HR's Future

Most enterprise IT teams spend the majority of their time fighting the same fires repeatedly. BMC Helix is building the AI system that handles those fires automatically, detecting anomalies, tracing root cause through millions of asset relationships, generating remediation plans, and learning from every incident it resolves. Craig Smith sits down with Erhan Giral, VP of AI Strategy and Innovation at BMC Helix, and Ryan Manning, Chief Product Officer at BMC Helix, to explain how agentic AI is transforming IT service management from a reactive, human-driven process into something closer to a self-healing system, and why doing that at enterprise scale requires a fundamentally different architecture than most AI deployments attempt. The most technically interesting part of this conversation is where BMC Helix is headed: building "gyms", synthetic data center environments where AI agents deliberately break things and learn to fix them overnight, 24 hours a day, generating the bespoke operational training data that text-based foundation models can no longer provide. Erhan describes an architecture of specialized sub-agents, anomaly detection, log analysis, root cause analysis, remediation planning, that work in a hierarchy, passing hypotheses between each other until they converge on an answer, fine-tuned to reason the way a specific enterprise's best IT engineer would rather than the way a generic documentation page reads. For customers, the results are measurable: 25 to 50% cost reduction, fewer recurring outages, and IT staff who can finally go home at a predictable time rather than spending their nights firefighting problems that could have been prevented. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

This week on Breaking Battlegrounds, Sam Stone is joined by B from B's Crime Corner to revisit the COVID-19 restrictions of 2020, Anthony Fauci's influence, vaccine requirements, and the conflicting information Americans were given about who was truly at risk. Then, B's Crime Corner examines the disturbing "Ohio House of Horrors" case, where 16 children were allegedly found living in deplorable conditions. Authorities said some may not have survived another 24 hours. Gary Siders Jr., Gary Siders Sr., Christina Siders, and Elizabeth Siders are accused in connection with the case. Sam Lyman, Head of Research at the Bitcoin Policy Institute, explains why America's Bitcoin, AI, and data-center infrastructure has become a national-security issue. He discusses Chinese influence campaigns targeting U.S. development, misinformation about data-center water use, and the choice between American AI and Chinese AI shaped by censorship. Follow Sam Lyman on X: @SamLyman33 Follow the Bitcoin Policy Institute on X: @bitcoinpolicy Shandi Hudson of Elite Senior Services explains why families should begin planning for senior care before a crisis. She breaks down placement options and how professional guidance can help families find the right care for their loved ones. Follow Shandi Hudson on Instagram: @shandinhudson Learn more: EliteSeniorAZ.com Gary Gygi, President and CEO of Gygi Capital Management, closes the show with his take on the Federal Reserve holding interest rates steady, Kevin Warsh's market-focused approach, and President Trump's use of tariffs as a negotiating tool. Follow Gary Gygi on X: @GaryGygi Learn more: GygiCapital.com Listen now to Breaking Battlegrounds, the radio show covering Arizona politics, campus unrest, election integrity, national campaigns, and the true crime cases everyone is talking about. Catch Breaking Battlegrounds live on 960 AM in Phoenix every Saturday at 9:00 AM, with full episodes and exclusive podcast-only segments dropping every Friday wherever you get your podcasts or watch on Youtube. Stay connected with Breaking Battlegrounds: • Substack: https://substack.com/@breakingbattlegrounds • Website: https://breakingbattlegrounds.vote • News: https://breakingbattlegrounds.news • X: https://x.com/breaking_battle • Instagram: @breakingbattlegrounds • Facebook: Breaking Battlegrounds If you enjoy the show, please leave us a 5-star review and share it with a friend. Your support helps keep the podcast growing. Breaking Battlegrounds is one of the top 2.5% most popular shows out of 3,779,399 podcasts globally. We interview policymakers, elected officials, and nationally and world-recognized reporters about the opportunities and hurdles the United States faces.

In this week's Legal Speak episode, Law.com reporter Alex Anteau and Cox Enterprises Executive Vice President and Chief Legal Officer Jennifer Hightower discuss how Cox Enterprises' legal department is navigating technological disruptions and regulatory changes. Hightower reveals how encouraging her team to embrace AI as a core part of its strategy has helped improve efficiency, reduced reliance on outside counsel and freed attorneys to focus on higher-value legal work. In addition to pinpointing her preferred AI tools, Hightower details how company-wide training and budget expectations factored into the technology adoption. Anteau and Hightower also discuss how the executive VP leads her legal team through political polarization to maintain a workplace respectful of diverse viewpoints.   Hosts: Cedra Mayfield & Patrick Smith Reporter: Alex Anteau Guest: Jennifer Hightower Producer: Charles Garnar  

Kris Kovacs sits down with Alison Alvarez, CEO and Co-Founder of blastpoint, and Tomer Borenstein, CTO and Co-Founder, to explore how AI and member intelligence are helping credit unions compete with larger financial institutions. They discuss personalized member engagement, data-driven growth strategies, AI adoption, marketing automation, and how CURQL has helped accelerate blastpoint's mission to empower credit unions with actionable insights.

In this episode of the ChinaPower Podcast, Ngor Luong joins us to discuss the rapid rise of Chinese startup Moonshot AI's Kimi K3 model, China's open AI strategy, and the implications for U.S.-China competition. Drawing on her recent paper, Two Loops: How China's Open AI Strategy Reinforces Its Industrial Dominance, she examines China's rapidly expanding open AI ecosystem, unpacks the "two loops" framework behind China's AI development strategy, and assesses the implications of the growing global diffusion of Chinese AI models.  Ngor Luong is Senior Policy Analyst on the Technology and Innovation team at the US-China Economic and Security Review Commission. She joined this podcast in her personal capacity and not on behalf of the Commission. 

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   You Don't Own Your IP Once It Hits the Cloud Who Owns Your IP in the Cloud? (Marcus Harris, Taft Law) "Technical Debt" Is a Marketing Weapon   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

In this episode: The story behind loomAI and what "getting agents into production one decision at a time" really means Why the race for AI value is colliding with rising token costs and energy limits, and how automating a bad process just gets you bad results faster Where Salesforce fits in a consumption-priced, agentic world, and why the trust layer and configuration still matter The governance problem every CIO is waking up to as agents multiply across the org The data vocabulary shift: why yesterday's clean data is often today's dead data What the consulting firm of the future looks like, from the 1,200 decisions a business makes each day to a learning organization that contracts on outcomes Drawing the line in regulated industries: human-in-the-loop, and why background agents beat customer-facing ones for now Why human connection becomes more valuable, not less, as everyone races to automate Timestamp guide: [00:00] — Intro and what's ahead [00:48] — Erin and Eric catch up, and set up the loomAI founders [03:05] — Meet Tricia Napper and David Bauer, and the loomAI origin story [03:56] — The elevator pitch: agents into production, one decision at a time [04:31] — Building an AI-native company, and the learning curve of starting up [06:50] — The AI backlash: ROI pressure, the cost pendulum, and turning off the models [07:34] — The race for value, and automation vs. reimagination [10:24] — Where Salesforce fits: trust layer, configuration, and consumption pricing [14:10] — Buy vs. build, and the CIO fear of agent proliferation [15:36] — Governance, and the case for a third party managing the guardrails [16:31] — When you don't need another tool: starting with the problem, not the tech [18:39] — The data vocabulary shift and the problem of dead data [21:08] — Who drives AI now, business or IT [24:29] — The consulting firm of the future and the 1,200-decisions-a-day business [26:48] — The learning organization vs. the all-knowing expert, and contracting on outcomes [29:35] — Guardrails in regulated industries and keeping humans in the loop [32:05] — Keeping the human in front of the customer, and the AI slop problem [34:08] — Customer Obsessed picks [37:28] — Erin and Eric debrief: business process, alignment, and keeping people front and center [39:56] — How AI changes the C-suite, and freeing people from the busy work [42:01] — The IKEA story: automating service calls and building a new business line [43:24] — Finding the customers who need a human, and where brands fall short [46:55] — Why great ideas need space, trust, and culture over surveillance Customer Obsessed Picks: Tricia Napper: The Red Tent by Anita Diamant, and How to Know a Person by David Brooks David Bauer: Prodigal Summer by Barbara Kingsolver

There's a popular new playbook for running an "AI-native" company. Record everything, put all your data in one place, and let an AI agent reach all of it. The productivity story is real. New hires ramp up in days, and the whole company can ask questions it never could before. But the same moves that create the speed also switch off safeguards that some businesses are not allowed to switch off. So, which controls are we turning off to get this speed, and are we allowed to? Your hosts are Kip Boyle, CISO with Cyber Risk Opportunities, and Jake Bernstein, Partner with K&L Gates.   Y Combinator's AI native playbook video -- https://youtu.be/B246K_G7mHU AIR-MAP website -- https://air-map.io/

Artificial intelligence is accelerating change across every industry, but simply adding AI to existing processes won't deliver lasting results. Recorded live at World Workplace Europe, Erik Jaspers is joined by Peter Hinssen and Mikis Waschl to explore how AI is reshaping facility management, why digital transformation was only the beginning, and what organizations must do to build stronger data foundations, embrace digital twins and rethink how value is delivered. They also discuss the economics of AI, Europe's role in the future of technology and why today's leaders must prepare for a world that is never normal.  This episode is sponsored by SiteMap®, powered by GPRS. Learn more at sitemap.com/ifma Timestamps 00:00 Introduction 01:45 Meet The Guests 03:39 Digital Was Just Start 05:36 AI Goes Geopolitical 07:52 FM Outcomes And Twins 11:02 Data Foundations Matter 12:15 CarPlay For Buildings 16:12 Construction Productivity Gap 17:39 AI Economics And Pricing 22:26 Stop Pilot Snacking 23:49 Europe Digital Autonomy 26:07 Wrap Up And Outro Connect with Us:LinkedIn: https://www.linkedin.com/company/ifmaFacebook: https://www.facebook.com/InternationalFacilityManagementAssociation/Twitter: https://twitter.com/IFMAInstagram: https://www.instagram.com/ifma_hq/YouTube: https://youtube.com/ifmaglobalVisit us at https://ifma.org

Heather McLean, CEO and AI strategist, discusses her journey from an Air Force ROTC scholarship to a diverse 20-year military career spanning supply chain management, logistics, and IT. She highlights the challenges of transitioning from a structured military environment to a chaotic startup, emphasizing the importance of building trust and adapting to new work dynamics. Heather's company, McLean Forrester (Mcleanforrester.com), focuses on custom AI and technology solutions, ensuring clients get value from their investments. She advises veterans to "bloom where they are planted" and to be their own advocates in the civilian workforce.As mentioned in the podcast:  McLean Forrester - mcleanforrester.comHeather's LinkedIn - https://www.linkedin.com/in/heather-mclean1/ Become a supporter of this podcast: https://www.spreaker.com/podcast/philosophy-from-the-front-line--4319845/support.Disclaimer: The content of the "Philosophy From the Front Line" podcast is intended for informational and educational purposes only. The views and opinions expressed by the hosts and guests are their own and do not necessarily reflect those of any affiliated organizations or sponsors. This podcast does not offer legal, financial, or professional advice. Listeners are encouraged to consult appropriate professionals before making decisions based on the content presented. "Philosophy From the Front Line" assumes no responsibility or liability for any errors or omissions in the content or for actions taken based on the information provided during the podcast episodes. Fair Use Statement: This podcast may contain copyrighted material not specifically authorized by the copyright owner. "Philosophy From the Front Line" is making such material available to educate, inform, and provide commentary under the "Fair Use" provisions of U.S. copyright law (Section 107 of the U.S. Copyright Act). We believe this constitutes a fair use of any such copyrighted material as it is:Used for non-commercial, educational, or research purposes.Critically analyzed, reviewed, or discussed.Used in a transformative way that adds new meaning or message to the original work.If you own any content used and believe it infringes on your copyright, please contact us directly, and we will address the matter promptly. 

Enterprise technology has long promised to unlock operational potential, but the trade-offs between monolithic ERP systems and fragmented best-of-breed stacks continue to slow organizations down in ways most leaders don't fully account for. In this episode of Enterprise Unleashed on Supply Chain Now, Scott W. Luton and Wiley Jones (Co-founder at DOSS) are joined by Jindra Zitek (Partner and Head of Scale at Stripes), a former McKinsey consultant and C-level operator whose career spans Chobani, HelloFresh, and a range of board and advisory roles across industry. Together, they unpack what it actually takes to build operations that are truly AI-ready, and why the answer starts with people long before it reaches technology. Jindra draws on firsthand experience leading through hypergrowth and crisis to make the case that both ERP consolidation and best-of-breed ecosystems carry a hidden coordination tax, one that only gets more expensive the longer organizations avoid naming it. He challenges leaders to stop framing AI as a job automation tool and start treating it as a lever for dignity and purpose, giving people the ability to focus on the work that actually requires human judgment. The conversation lands on what separates organizations that experiment successfully from those stuck in pilot purgatory: shared business objectives, cross-functional coalitions, and guardrails that free people to move fast without losing control. Wiley grounds the discussion in what Doss is seeing in practice, where the complexity of edge cases is finally collapsing, and where the real work of comprehension still cannot be skipped. Jump into the conversation: (00:00) Intro  (02:29) Jindra Zitek's background across McKinsey, Chobani, and HelloFresh (04:16) Lessons from family, farming, and leadership (06:09) Why people should come before systems (10:28) The trade-off between ERP and best-of-breed tools (15:24) The hidden cost of technology choices (17:09) How company DNA shapes technology strategy (20:57) Eliminating the human tax of broken systems (21:49) Automation should enable people, not replace them (25:57) The rise of agentic operations (28:57) Building trust and control with AI systems (31:34) Measuring real ROI from AI investments (35:17) Building cross-functional teams for AI success (37:30) Creating guardrails for enterprise AI adoption (40:40) The first workflow to transform with AI (42:10) Finding business problems AI can solve (47:56) How AI changes workflow design and implementation Additional Links & Resources: Connect with Jindra Zitek: https://www.linkedin.com/in/jindrazitek/ Connect with Wiley Jones: https://www.linkedin.com/in/wileycwjones/ Learn more about DOSS: https://www.doss.com/ Learn more about Stripes: https://www.stripes.co/ Learn more about Supply Chain Insights: http://www.supplychaininsights.com Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- Peak Reality Check: What Shippers, Analysts, and AI Models Are Predicting for 2026: https://bit.ly/4aTlsRv WEBINAR- From Volume to Resilience: How Automotive Supply Chains Are Adapting to a New Market Reality: https://bit.ly/4f6SUGA WEBINAR- The Automotive Industry's Next Digital Breakthrough: https://bit.ly/4vhUwT4 WEBINAR- From Disruption to Stability: Building Resilient Logistics Solutions in a Rapidly Changing Global Market: https://bit.ly/3TguZMt This episode was hosted by Scott Luton and Wiley Jones, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/beyond-erp-tradeoff-building-ai-ready-operations-1614 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Can IBM survive a monumental stock drop as AI clients divert billions?  IBM CEO and chairman Arvind Krishna addresses investor fears, client spending shifts toward AI infrastructure, and the company's bold pivot to quantum computing. Arvind also reveals why tech clients deferred massive spending deals, how IBM is adapting its sales model to withstand inflation, and why he believes quantum technology will drive a $1 trillion economic impact. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Same ride, two different prices — that's the new reality facing Uber and Lyft passengers.Today on Second Request, Executive Editor Teddy Downey sits down with Derek Kravitz of Consumer Reports to talk about Kravitz's new reporting on how Uber and Lyft make use of algorithmic pricing to charge consumers different prices and inflate base costs.

Thomas Lah welcomes social psychologist Sarah DiMuccio to talk about the human side of AI transformation. They dig into why AI adoption triggers anxiety across every role, seniority level, and demographic: it isn't resistance to a task, it's a threat to how people see themselves professionally. Sarah explains that companies are investing heavily in AI technology while investing almost nothing in enablement, treating adoption as something that happens automatically once the tool is switched on rather than a genuine redesign of how people work. That gap shows up as “quiet checkout,” a form of disengagement Sarah argues is more damaging than outright sabotage because it's invisible to leadership and never gets addressed.The conversation turns to what actually builds trust and follow-through: naming the fear directly instead of talking around it, leaders modeling experimentation in front of their teams, and co-creating AI use cases with employees rather than imposing them from the top down. Sarah introduces her framework for future-ready leadership, a Venn diagram of AI fluency, strategic agility, and relational intelligence, arguing that leaders missing the relational piece may retain talent short-term through “golden handcuffs,” but they lose the honesty, experimentation, and judgment that AI-era competitiveness actually depends on.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   What Is 'The Machine'? Stories from the Machine "Best Practices" & Other Gaslighting Buzzwords   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Amit Zavery, President and Chief Product Officer at ServiceNow. The platform runs more than 75 billion workflows a year with around $15 billion in annual revenue growing over 20%. Its market cap is above $100 billion, yet the stock is down more than 30% this past year, while its AI business is on track for $1.5 billion, ahead of a $1 billion plan. Amit previously ran product and platform at Oracle for over two decades and was a VP and General Manager at Google Cloud.What you'll learn:Why the market can't yet tell AI winners from losers, and why companies that don't transform will get killedWhy the idea of one company becoming the single end-to-end enterprise orchestrator is a fallacyThe spare part approach that makes most enterprise AI projects fail, and what pacesetters do insteadWhy access is shifting from user interfaces to agents, and what taking action actually requiresHow to hold long-term conviction on platform bets while the market judges you on short-term sentimentKey takeaways:Transform or die: the market will separate AI-native platforms from legacy vendorsInteroperability beats domination in the agentic eraGovernance only wins when it accelerates innovation, not when it blocks itCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Amit ZaverySocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

 The push for hyperscale AI data centers in every county isn't about innovation — it's about centralized control, land grabs, and the surveillance state. China just beat the U.S. tech giants for a fraction of the cost. I'm joined by computer scientist and AI expert Jim Calhoun to expose the massive grift behind America's generative AI strategy. While U.S. tech giants like OpenAI, Microsoft, and Amazon take on trillions in debt to build massive, power-draining data centers, China just released a decentralized, open-weight AI model (Kimi-3) essentially for free. Calhoun breaks down why decentralized "edge computing" is the real future of AI and why Big Tech's current path is a dangerous misallocation of capital disguised as a "Sputnik moment." Learn more about your ad choices. Visit megaphone.fm/adchoices