Podcasts about Orchestration

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.

Mahesh Rajasekharan of Cleo talks about what they do; data & visibility challenges; the evolution of supply chain orchestration; & their new Executive Report.  IN THIS EPISODE WE DISCUSS: [02.38] What excites Mahesh about transformation, why he calls Cleo a 'neo-startup', and how he has shaped their mission and growth strategy. "I've always been attracted to transformation opportunities… Cleo had great technology, loyal customers and an important market position. But it also had enormous untapped potential." [04.47] Who Cleo is, what they do, and what it means to orchestrate a supply chain, as opposed to simply integrating it. "Visibility tells you what happened, but orchestration is what helps you decide what to do about it. It's going from systems of record to systems of action." [06.29] The problem with historic working siloes, and how orchestration forces collaboration and a customer-first approach. "Often, planning has all the context but cannot execute. Execution systems can execute, but don't have enough context. The ability to bridge the co-ordination gap can unlock significant value – and every participant in the supply chain is responsible." [10.34] Cleo's north star – 'to make global supply chains better' – and the big turning points that have defined their evolution. [13.47] The ideal client for Cleo, how that profile has changed over the course of their evolution, and why supply chain has to become a revenue driver. [21.14] Why Cleo conduct an annual Global Supply Chain Executive Report, and the most surprising findings from 2026. [23.52] With 88% of organizations increasing their use of automation, yet 55% reporting increased operational complexity as a result, a closer look at exactly what's driving that disconnect. [25.43] Why only 16% of organizations say they have true end-to-end, real-time visibility across their supply chain, despite visibility being a critical goal for over a decade. "Supply chains have become true ecosystems, not enterprises… So the data an organization needs oftentimes sits outside its four walls." [29.46] As leaders become increasingly comfortable with AI-based recommendations but still struggle to trust the underlying data, where companies should actually focus if they want AI to deliver real value. "The two most important things are context and governance… You can't get to a data 'holy grail', but if you can establish a superior context, then you can execute." [35.10] How organizations can improve their data context and trust more quickly. [39.13] How companies can streamline order processing with Cleo to course correct problems, improve on-time and in-full performance, boost speed, reduce cost, and enhance customer relationships. [44.20] How sitting on the boards of Cleo, Ascend Software, and Banyan Software helps Mahesh understand the wider market and develop Cleo's own strategy moving forward. "It really makes you understand how universally challenging operational complexity has become… And it provides a strong perspective on what separates companies that successfully transform from those that struggle." RESOURCES AND LINKS MENTIONED: Head over to Cleo's website now to find out more and discover how they could help you too. You can also connect with Cleo and keep up to date with the latest over on LinkedIn, YouTube, Facebook and X (Twitter), or you can connect with Mahesh on LinkedIn. Check out our other podcasts HERE.

Pastor Jordan Boyce is preaching on Divine Orchestration: When God Answers Prayer Through People.

On this episode of The Buzz, powered by Toyota Automated Logistics, hosts Scott Luton and Karin Bursa welcome Philip Vervloesem, Chief Commercial and Markets Officer at OMP, for a wide-ranging conversation on the forces reshaping global supply chains. From extreme weather and transportation disruptions to China's rapidly expanding automotive industry, the team explores today's biggest supply chain headlines before diving into AI, decision velocity, always-on planning, and the evolving role of supply chain professionals. Supply chain leaders have more data, technology, and intelligence at their fingertips than ever before, but the real competitive advantage comes from turning those insights into the right decisions faster. Scott, Karin, and Philip examine how organizations can use scenario planning, external market signals, AI agents, and connected decision-making to respond more effectively to disruption and uncertainty. They also explore why successful AI adoption isn't simply about automation or replacing people. Instead, the future belongs to organizations that combine intelligent technology with human judgment, collaboration, trust, and business context. Key Takeaways Resilience happens before disruption. Scenario planning and decision intelligence give organizations more options while there is still time to act. External signals matter. Weather, climate patterns, market conditions, and other syndicated data can help companies anticipate disruptions and continuously refine supply chain plans. Decision velocity is becoming a competitive advantage. Leading organizations aren't simply collecting more data—they're connecting data to decisions and executing those decisions across the enterprise faster. Agentic AI's greatest opportunity is augmentation. AI agents can identify issues, evaluate scenarios, coordinate information, and recommend actions, while people provide judgment, context, governance, and leadership. Always-on planning is changing traditional planning cycles. Planning isn't disappearing, but waiting for weekly or monthly cycles to respond to change increasingly will. The planner of the future needs strong human skills. Business knowledge, communication, influence, collaboration, storytelling, and the ability to navigate trade-offs will become even more valuable as technology advances. The future of supply chain planning isn't simply about moving faster—it's about making better decisions with greater confidence. As AI, intelligent planning platforms, and always-on capabilities continue to evolve, successful organizations will be those that connect technology with human expertise and turn complexity into action. Tune in to hear how leaders can prepare now for a more adaptive, resilient, and decision-driven supply chain. Additional Links & Resources: Toyota Automated Logistics: https://toyota-automated-logistics.com/ Enterprise Unleashed: The Biggest Lessons from 2026 So Far: https://streamyard.com/watch/CBk6F4Dgtwk3 The Peak Readiness Index Report 2026: https://bit.ly/Peak-Readiness-Report Low Rhine levels disrupting German industry: https://reut.rs/45BdaL8 Corporate concern over El Nino hits multi-year high: https://reut.rs/4xPGVnI There Aren't Enough Ships to Handle China's Booming Car Exports: https://on.wsj.com/4bXfZd8 OMP: https://omp.com/ Connect with Philip on LinkedIn: https://www.linkedin.com/in/philipvervloesem/ Upcoming Live Programming: https://supplychainnow.com/upcoming-live-programming/ Supply Chain Now Resource Hub: https://supplychainnow.com/resource-hub/ 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://bit.ly/3XH6OVk 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 Karin Bursa, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit the dedicated episode page at: https://supplychainnow.com/buzz-decision-velocity-ai-agents-future-supply-chain-planning-1628 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.

Soft freight demand would normally suggest plenty of available trucking capacity. Q2 2026 told a different story.   In this episode of Supply Chain Now, Scott W. Luton is joined by Karin Bursa, Bobby Holland, Director of Freight Business Analytics at U.S. Bank, and Dr. Jason Miller, Eli Broad Endowed Professor of Supply Chain Management at Michigan State University, to unpack the latest U.S. Bank Freight Payment Index. They examine why shipments remained subdued while shipper spending climbed sharply, including a nearly 28% year-over-year national increase in spending.   The conversation covers regional freight conditions, tightening capacity, housing weakness, import activity, fuel costs, and the surge in physical infrastructure supporting AI and data centers. Bobby and Jason also share what supply chain leaders should watch as the market moves through the second half of 2026.   Jump into the conversation: (00:00) Intro (06:51) The central theme of the Q2 2026 Freight Payment Index (09:29) How the Freight Payment Index works (11:29) National freight market outlook (16:40) West region: Strongest annual growth (20:49) Southwest: The largest volume-spending disconnect (23:59) Midwest: Data centers offset softer freight demand (27:18) Housing market headwinds (30:10) Northeast: Flat volume and rising spending (33:41) Southeast: Data centers drive freight growth (37:14) AI's rapidly expanding physical supply chain (44:42) Freight market predictions for the months ahead (48:55) Where to find the Freight Payment Index (50:34) Karin's biggest takeaway for supply chain leaders   Additional Links & Resources: Connect with Dr. Jason Miller: https://www.linkedin.com/in/jason-miller-32110325/ Connect with Bobby Holland: https://www.linkedin.com/in/bobby-holland-4a9355/ Connect with Karin Bursa: https://www.linkedin.com/in/karinbursa/ Learn more about Eli Broad College of Business: https://broad.msu.edu/ Learn more about U.S. Bank: https://www.usbank.com/index.html Learn more about U.S. Bank Freight Payment Index: https://www.usbank.com/corporate-and-commercial-banking/industry-expertise/transportation/freight-payment-insights.html 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 Karin Bursa and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/analysis-q2-2026-us-bank-freight-payment-index-1627 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 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.

An imperfect drink with a perfect story. My reflections from Black Hat USA 2026 An Analog Brain In A Digital Age — A Newsletter by Marco Ciappelli No time to read? Let TAPE3 read it to you.

The Buzz, powered by Toyota Automated Logistics, is back with another timely look at the news and trends shaping global supply chain. In this episode, host Scott Luton is joined by Paul J. Noble and special guest Lora Cecere, founder of Supply Chain Insights, for a wide-ranging conversation on agentic AI, supply chain fraud, manufacturing, forecasting, lead times, and why decades of technology investment still haven't delivered better results for many organizations. From the growing role of AI agents in commerce to the increasing sophistication of supply chain fraud, this episode tackles some of the biggest challenges and opportunities facing supply chain leaders today. Scott, Paul, and Lora explore why trust and data verification will become even more critical in an agentic world, what current manufacturing data really tells us about the economy, and why organizations need to rethink long-standing approaches to forecasting and inventory management. Lora also challenges the industry to move beyond so-called “best practices” that may actually be outdated historical practices. The conversation digs into the importance of dynamic lead-time data, predictive analytics, balanced scorecards, and cross-functional decision-making and asks a critical question: If supply chain technology has advanced so dramatically, why are so many supply chains still underperforming? Additional Links & Resources: Toyota Automated Logistics: https://toyota-automated-logistics.com/ With That Said: https://bit.ly/WTS-15-Aug-2026 Paul Climbing Mt. Rainier: https://www.linkedin.com/posts/pauljnoble_climbing-the-vertical-equivalent-of-everest-ugcPost-7480348179654275073-cwS1/ The 2026 MHI Annual Industry Report: https://www.mhi.org/annual-industry-reports Vitol, Cargill, Glencore cut ties with Radiant World - report: https://reut.rs/3UBBEkZ The AI Buildout and the Economy: Publicly Available Data to Assess AI's Impact: https://www.federalreserve.gov/econres/notes/feds-notes/the-ai-buildout-and-the-economy-publicly-available-data-to-assess-ais-impact-20260717.html Manufacturing PMI® at 55.6%; July 2026 ISM® Manufacturing PMI® Report: https://prn.to/4xHjigG Syncing to Market Actuals: https://www.linkedin.com/pulse/syncing-market-actuals-lora-cecere-ukgqe/ What Have We Learned Thus Far From AskLora.Ai? https://streamyard.com/watch/fxjWYRFvdfHe Blame Follows the Messenger: https://supplychainnow.com/blame-follows-the-messenger/ AskLora: https://asklora.ai/ VDSAI: https://www.vdsai.net/ Connect with Paul on LinkedIn: https://www.linkedin.com/in/pauljnoble/ Connect with Lora on LinkedIn: https://www.linkedin.com/in/loracecere/ Upcoming Live Programming:  https://supplychainnow.com/upcoming-live-programming/ Supply Chain Now Resource Hub: https://supplychainnow.com/resource-hub/ 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://bit.ly/3XH6OVk 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 Paul Noble, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated episode page at: https://supplychainnow.com/buzz-fixing-supply-chain-performance-ai-era-1625 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.

In this Marketing Over Coffee: Learn about treating AI like workers, outcomes over use cases, agentic, and more!! Direct Link to File Talking with Lauren, the CMO of Asymbl at Salesforce Connections Lauren was part of ExactTarget which was acquired by Salesforce in 2012. We’ve talked about Chris Baggott and Douglas Karr over the years. […] The post Lauren Esposito on Workforce Orchestration! appeared first on Marketing Over Coffee Marketing Podcast.

How will AI reshape supply chain teams, technology investments, and the future workforce? In this episode of Supply Chain Now, Scott W. Luton is joined by Mike Griswold, Vice President Analyst at Gartner, for another conversation in the Supply Chain Today and Tomorrow series. Mike shares his perspective on AI strategy, supply chain technology, inventory management, and the decisions leaders must consider as business expectations continue to change. The conversation explores why organizations should be careful about replacing entry-level roles with AI, how supply chain teams can balance technology with human expertise, and what future leaders need to learn about data, decision-making, and operational excellence. Listeners will learn how to think differently about AI adoption, why high-tech companies offer valuable lessons for supply chain teams, and what skills may define supply chain leadership in the years ahead.  Jump into the conversation: (00:00) Introduction (08:36) Why more data does not always create better decisions (09:48) The future of just-in-time inventory strategies (11:31) Building alignment across business, supply chain, and AI strategy (15:36) Supply chain technologies worth investing in (18:31) Mike's supply chain hot take on AI and workforce changes (24:44) What supply chain can learn from high-tech companies (28:10) The moments that shape supply chain transformation (31:31) What future supply chain leaders will study in 2050 (33:34) How supply chain education programs need to evolve   Additional Links & Resources: Connect with Mike Griswold: https://www.linkedin.com/in/mike-griswold-6a68922/ Learn more about Gartner: https://www.gartner.com/ 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 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- From Disruption to Stability: Building Resilient Logistics Solutions in a Rapidly Changing Global Market: https://bit.ly/3TguZMt 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/lightning-round-returns-9-key-questions-1624 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.

In this episode, we kick things off by examining a strategic bet on orchestration software as national parcel carriers continue to shed unprofitable volume. Last-mile delivery technology company Burq is wagering that enterprise retailers will pay for orchestration platforms that sit above the growing bench of regional carriers and gig courier networks. With fifty-five percent of retailers now using carriers outside FedEx, UPS and the U.S. Postal Service, and alternative carriers moving two point six billion parcels last year, the last-mile delivery duopoly is rapidly eroding. Next, we discuss a messy legal battle in the air cargo sector that has officially come to an end. Miami-based charter operator Global Crossing Airlines has dismissed its thirty-million-dollar breach-of-contract lawsuit against Ascent Global Logistics and terminated their exclusive brokerage agreement. GlobalX had alleged its former investment partner failed to honor an agreement to steer air cargo business its way, and during the second quarter, the carrier's cargo revenue dropped two point nine million dollars, or about fifty percent, year over year. Finally, we explore a sophisticated international freight fraud operation as Armenian authorities busted a Yerevan-based group that posed as American carriers and converted stolen freight proceeds into crypto. Cyber police raided commercial space inside a Yerevan hotel on July twenty-third, where suspects allegedly used specialized computer equipment to gain trust from businesses arranging transportation services, then redirected shipments to different locations instead of completing intended deliveries. Follow the FreightWaves Today Podcast Other FreightWaves Shows Learn more about your ad choices. Visit megaphone.fm/adchoices

How is the consulting industry changing as technology, AI, and new buyer expectations reshape the market? In this episode of Supply Chain Now, Scott W. Luton speaks with Amber Salley, Founder and Managing Director of the Amber Salley Advisory Group, about the changing consulting landscape and what supply chain leaders should consider when hiring outside expertise. With experience as a practitioner at IBM, consultant at Booz & Company and Accenture, Gartner analyst, and vendor executive, Amber shares her perspective on why traditional consulting models are under pressure, how AI is accelerating existing changes, and why specialization matters more than ever. Listeners will learn why companies are moving toward smaller technology investments, faster results, and decision-focused advisory support. Amber also discusses how consulting firms must adapt, the future of outcomes-based pricing, and why organizations should evaluate partners based on their ability to deliver measurable value quickly. Jump into the conversation: (00:00) Intro (02:19) Meet Amber Salley (03:14) How Amber Salley's career shaped her consulting perspective (08:47) Why specialized supply chain expertise matters (16:16) What is changing in the consulting model? (23:16) Why buyers are moving toward faster technology wins (28:39) How consulting firms must rethink software partnerships (33:08) Can outcomes-based pricing become the future of consulting? (36:36) What should SMB operators ask before hiring consultants? (43:12) Why companies should avoid layering AI onto outdated foundations (49:53) Where to connect with Amber Salley Additional Links & Resources: Connect with Amber Salley: https://www.linkedin.com/in/ambersalley/ Learn more about Amber Salley Advisory Group: https://www.salleyadvisory.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- From Disruption to Stability: Building Resilient Logistics Solutions in a Rapidly Changing Global Market: https://bit.ly/3TguZMt WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K   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/how-choose-right-supply-chain-consultant-1623 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.

From shifting commodity markets and explosive data center growth to drone delivery and AI-enabled workplaces, supply chain leaders are navigating change from every direction. In this episode of The Buzz, powered by Toyota Automated Logistics, Scott Luton and Dr. Rod Thomas are joined by Hans Kremer, partner and co-founder of Inchange, to unpack the latest supply chain headlines and explore what professionals and organizations need to thrive in a rapidly evolving business environment. The discussion shifts to professional development, where Hans shares why companies need to stop training in silos and create more cross-functional learning experiences. The group also explores lifelong learning, the value of hands-on operational experience, and why AI should be viewed as a capability multiplier, not simply a tool for cutting costs or increasing efficiency. They close with powerful insights on leadership, trust, empathy, and creating environments where people can succeed. Key Takeaways: Successful change starts with the people doing the work. Find true advocates early, listen carefully to resistance, communicate the “why” repeatedly, and give teams the time and resources needed to implement change. Supply chain has become a strategic differentiator. Competition increasingly happens between entire supply chain ecosystems, not simply individual companies. Tomorrow's supply chain professionals need more than technical expertise. Strategic inquiry, discernment, judgment, adaptability, communication, and influence will become increasingly important as AI expands access to technical capabilities. Copper and other critical resources could become major constraints on AI and electrification growth. Data centers, infrastructure investment, geopolitics, tariffs, and limited natural resources are creating complex global supply challenges. Professional development needs to become cross-functional. Giving employees opportunities to experience sales, operations, supply chain, finance, and other perspectives can help break down silos and improve organizational performance. AI should make people more capable, not simply more efficient. Organizations that use AI only to automate existing tasks may miss its greater potential to enable employees to solve problems and perform work they could not previously do. Leadership is about enabling the success of others. Strong leaders remove obstacles, protect their teams, model the right behaviors, build mutual trust, and create an environment people want to follow. This episode brings together timely supply chain news with practical lessons on leadership, learning, technology, and organizational performance. Whether you're preparing your workforce for AI, navigating major market shifts, developing the next generation of supply chain talent, or simply trying to become a stronger leader, Hans, Rod, and Scott offer actionable perspectives you can put to work right away.   Additional Links and Resources: Toyota Automated Logistics: https://toyota-automated-logistics.com/ With That Said: https://bit.ly/WTS-8-August-2026 Leading Beyond The Next Disruption: https://bit.ly/Mourad-Tamoud-SE Rod's LinkedIn Post: https://bit.ly/The-Perfect-SC-Manager Han's LinkedIn Post: https://bit.ly/Hans-Music-Stories Copper jumps to its highest level ever. What the metal is telling us: https://cnb.cx/4cvTGv8 Congo Issues Immediate Copper and Cobalt Ban as Smelters Pay Miners for Feedstock: https://bit.ly/DRC-Bans-Some-Exports Caterpillar sales surpass $20B as data center generators take off: https://bit.ly/CAT-has-big-2Q2026 DoorDash Takes to the Sky With Its Own Drones: https://on.wsj.com/4ccxIx7 Inchainge: https://inchainge.com/   The Readiness Rules: https://now.supplychainnow.com/the-readiness-rules Connect with Hans on LinkedIn: https://www.linkedin.com/in/hanskremer/ Connect with Rod on LinkedIn: https://www.linkedin.com/in/rod-thomas-a409a41/ Upcoming Live Programming:  https://supplychainnow.com/upcoming-live-programming/ Supply Chain Now Resource Hub: https://supplychainnow.com/resource-hub/ 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://bit.ly/3XH6OVk WEBINAR- From Disruption to Stability: Building Resilient Logistics Solutions in a Rapidly Changing Global Market: https://bit.ly/3TguZMt WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K This episode was hosted by Scott Luton and Rod Thomas, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/buzz-ai-copper-drone-delivery-future-supply-chain-leadership-1622  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.

In this episode, Munjal Shah, Co-founder & CEO of Hippocratic AI, discusses how agentic orchestration can coordinate teams of AI agents to achieve healthcare outcomes such as reducing readmissions, closing care gaps and improving patient follow-up. This episode is sponsored by Hippocratic AI.

In this episode, Munjal Shah, Co-founder & CEO of Hippocratic AI, discusses how agentic orchestration can coordinate teams of AI agents to achieve healthcare outcomes such as reducing readmissions, closing care gaps and improving patient follow-up. This episode is sponsored by Hippocratic AI.

A missed delivery in a public health supply chain is never just a logistics problem. It can mean a child misses a vaccine, a patient goes without treatment, or an entire community loses trust in its healthcare system. In this episode of Supply Chain Now, Scott W. Luton welcomes Don Hicks, CEO of Optilogic, and Taylor Wilkerson, Executive Director of Design for Life, for a powerful conversation about using supply chain design to help more people access essential medicines. Don and Taylor explain why many public health supply chains face the same complexity as the world's largest commercial networks, but must operate with far fewer resources, limited infrastructure, and consequences measured in human lives rather than profit. Taylor shares how outdated systems, manual processes, and limited visibility can prevent medicine from reaching the communities that need it most, while Don explains why managing the existing network is not enough. Meaningful progress requires redesigning the system itself. The conversation explores why resilient supply chains must be built before a crisis hits. Taylor explains how better data, flexible networks, and stronger design can help healthcare systems respond to outbreaks and demand surges. He also shows how a single stockout can lead to missed care, greater health risks, and lost trust. The medicine may cost pennies. The real challenge is getting it to the right people at the right time. Don and Taylor also talk about how AI can make advanced supply chain tools more accessible. Local health leaders could ask questions in plain language, test scenarios, and make faster decisions without relying on outside consultants. By putting planning and optimization tools in the hands of the people closest to the problem, Design for Life aims to improve healthcare access and save lives. Jump into the conversation: (00:00) Intro (02:31) Meet Don Hicks and Taylor Wilkerson (07:25) Taylor's path into public health supply chains (09:27) Don's experience with global healthcare delivery (13:06) The mission behind Design for Life (17:57) Why resilient supply chains must come before crisis (20:04) How public healthcare networks really operate (22:02) Why managing the current system is not enough (24:23) Turning supply chain studies into action (27:48) Two forces reshaping global health supply chains (30:17) How AI can democratize supply chain design (33:15) The human cost of medicine stockouts (37:46) Making advanced planning tools easier to use (40:38) Why the best user interface may be none (44:40) Empowering local experts to make decisions (48:42) How to support Design for Life (51:13) Finding purpose through supply chain work Additional Links & Resources: Connect with Taylor Wilkerson: https://www.linkedin.com/in/taylor-wilkerson-21477a/ Learn more about Design for Life: https://designforlife.org/ Connect with Don Hicks: https://www.linkedin.com/in/donald-hicks-35575b/ Learn more about Optilogic: https://optilogic.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- From Volume to Resilience: How Automotive Supply Chains Are Adapting to a New Market Reality: https://bit.ly/4f6SUGA WEBINAR- From Disruption to Stability: Building Resilient Logistics Solutions in a Rapidly Changing Global Market: https://bit.ly/3TguZMt WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K 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/public-health-supply-chain-redesign-bigger-band-aids-will-not-work-1621 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.

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

AI isn't just transforming the way we work, but also the way we write the software that people use for work. In this episode, we talk to two engineering productivity leads at Dropbox: Uma Namasivayam, senior director of software engineering productivity, and Anuradha Agarwal, director of software engineering. Whether it's writing tests, fixing bugs, tackling tech debt, or accelerating migrations, they explain how Dropbox engineers are using agentic AI—including in-house tools like Nova—to build the future of Dropbox, and create more space to do impactful work. ~ ~ ~  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 apparel companies don't have a demand problem. They have a lead time problem. In this episode of Supply Chain Now, hosts Scott W. Luton and Scot Case welcome Maithili Shenoy, Founder and CEO of La Naia Collective, for a frank, frameworks-forward look at why the global apparel operating model is cracking under its own weight and what it would actually take to rebuild it. From the Multifiber Agreement's unraveling in 2005 to the speed at which TikTok now dictates what sells, Maithili draws a clear line between the world the industry was built for and the one it's operating in today. She breaks down why long lead times convert forecast error into stranded inventory, how the markdown machine erodes billions in gross margin dollars annually, and why the financial damage runs deeper than most balance sheets reveal. Scot adds a sustainability lens that sharpens the conversation, connecting the landfills of Ghana's Kantamanto Market to the same structural misalignments driving poor financial returns. The conversation builds into Maithili's 4S architecture: Strategize, Segment, Structure, Sustain, and the regenerative loop that ties them together. Real-world examples ground every layer: Inditex running 57.8% gross margins with inventory costs half the industry average, Abercrombie & Fitch going from 1% to 15% operating margins by abandoning markdown dependency, and why companies still anchored to gross margin rate alone are running out of runway. If you're trying to understand why so many smart people keep making decisions that produce irrational collective outcomes and what a better model actually looks like, this conversation earns its time. Jump into the conversation: (00:00) Intro (02:19) Meet Maithili Shenoy (03:47) From classical dance to global supply chains (06:28) Career experiences that shaped her perspective (09:23) The hidden cost of apparel overproduction (13:06) Why today's apparel operating model is broken (14:23) How globalization changed fashion supply chains (19:56) Why costs keep rising across the industry (21:30) The biggest flaws in the current operating model (23:55) Four ways the current model destroys value (29:14) Introducing the 4S architecture (30:10) Strategize with the right business metrics (33:09) Segment products by demand and speed (37:50) Align incentives with business outcomes (40:41) Building a model that can adapt over time (45:02) The metrics every apparel leader should track (49:57) What Zara, Abercrombie, and Ralph Lauren do differently (55:47) Why apparel returns are becoming more expensive (01:01:06) Predictions for the future of apparel retail Additional Links & Resources: Connect with Maithili Shenoy: https://www.linkedin.com/in/maithili-shenoy/ Learn more about La Naia Collective: https://www.lanaiacollective.com/ Connect with Scot Case: https://www.linkedin.com/in/scotcase/ 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- From Volume to Resilience: How Automotive Supply Chains Are Adapting to a New Market Reality: https://bit.ly/4f6SUGA WEBINAR- From Disruption to Stability: Building Resilient Logistics Solutions in a Rapidly Changing Global Market: https://bit.ly/3TguZMt WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K This episode was hosted by Scott Luton and Scot Case, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/appareal-pandl-broken-tariffs-just-exposed-what-already-failing-1620 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.

From rising diesel prices and geopolitical instability to new defense sourcing requirements and rapid advances in artificial intelligence, procurement and supply chain leaders are navigating a business environment where the traditional playbook no longer works. In this episode of The Buzz, powered by Toyota Automated Logistics, hosts Scott Luton and Allison Giddens welcome James Meads, founder of Entrepreneurial Procurement, for a timely discussion on the forces reshaping procurement and global supply chains. The conversation explores major investments in domestic manufacturing, the growing tension between lean inventory and supply chain resilience, and the ripple effects of diesel shortages and commodity inflation. The panel also examines new Pentagon sourcing and traceability policies, including the challenges of reducing dependence on critical materials from countries such as China and Russia. James explains why procurement teams must move beyond a process-driven, support-function mindset and begin operating more like entrepreneurial business partners. He also shares practical AI applications that can eliminate repetitive work, improve research, and help procurement professionals focus on higher-value decisions without automating broken processes or relying on poor data. Key Takeaways: Why companies such as GE Aerospace and General Motors are investing heavily in domestic production, supplier resilience, and access to critical components How geopolitical instability is forcing businesses to reconsider just-in-time inventory strategies and qualify additional suppliers Why higher diesel prices can create widespread inflation across transportation, agriculture, manufacturing, and consumer goods The opportunities and risks associated with new defense sourcing, supply chain mapping, and material traceability requirements Why procurement leaders must advocate for investment, communicate their value, and adopt a stronger ownership mindset Practical AI use cases that can reduce manual work in procurement, including data entry, supplier research, category strategies, RFPs, and RFQs Why technology cannot successfully orchestrate broken processes or unreliable data How procurement teams can choose technology based on specific business problems instead of getting distracted by product demos and industry hype Procurement is no longer simply about controlling costs or processing transactions. It has become a critical source of resilience, innovation, risk management, and competitive advantage. Tune in to hear practical guidance on building stronger supplier strategies, selecting technology that solves real problems, and preparing your organization for a more uncertain and fast-moving global business environment. Additional Links & Resources:  Learn more about Toyota Automated Logistics: https://toyota-automated-logistics.com/ The latest edition of “With That Said”: https://bit.ly/WTS-2-August-2026 GM invests in U.S. onshoring: https://bit.ly/GM-Invests-In-Onshoring-2026 “Diesel Supply Crunch”: https://bit.ly/4yQTEI1 The White House issues executive order on DoD procurement: https://bit.ly/New-Executive-Order-for-DoD-CriticalMinerals Download the Procurement Tech Map from James Meads: https://resources.entproc.com/tech-map-for-mid-market-businesses Connect with James Meads: https://www.linkedin.com/in/james-meads/ Upcoming Live Programming:  https://supplychainnow.com/upcoming-live-programming/ Supply Chain Now Resource Hub: https://supplychainnow.com/resource-hub/ 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://bit.ly/3XH6OVk 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 WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K This episode was hosted by Scott Luton and Allison Giddens, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated episode page at: https://supplychainnow.com/thebuzz-procurement-mindset-shift-modern-businesses-need-1619 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.

The annual release of a major industry index always sparks intense debate, but the true value lies in the core strategies driving the world's top performers. In this episode of Supply Chain Now, Scott W. Luton is joined by regular co-host Mike Griswold, Vice President Analyst at Gartner, and special guest Laura Rainier, Senior Director Analyst at Gartner, to break down the defining macro trends from the Gartner Supply Chain Top 25 for 2026. The panel explores how leading organizations navigate global volatility by moving past tech experimentation to deliver true enterprise value. They dive into the realities of the autonomous workforce era, detailing how top-tier supply chains prioritize human-machine collaboration and systems thinking over simple digital literacy. Highlighting standout examples like Unilever's shared forecasting and Schneider Electric's disciplined process optimization, the discussion illustrates what it takes to build a resilient, network-centric operation. Laura Rainier also addresses critics directly, explaining why qualitative community opinion remains the ultimate "secret sauce" for capturing true excellence, while Mike Griswold wraps up by challenging leaders to leverage the supply chain as a primary engine for strategic growth.    Jump into the conversation: (00:00) Introduction (00:44) Gartner's 2026 Top 25 preview (02:23) Meet Gartner analyst Laura Rainier (04:46) Laura's future supply chain research (07:28) Three supply chain macro trends (11:26) Network-centric strategies and orchestration (15:46) Top 25 companies leading change (21:41) Fix processes before deploying AI (24:30) What defines a Supply Chain Master (26:49) Why leaders invest in people (27:34) How Supply Chain Masters stay ahead (29:07) New and returning Top 25 companies (31:09) How companies earn their return (34:03) Why Schneider Electric ranks first (40:34) Walmart's rise and retail momentum (42:41) Why community opinion matters (47:38) 2027 ESG methodology changes (48:25) Gartner events and upcoming summits   Additional Links & Resources: Connect with Mike Griswold: https://www.linkedin.com/in/mike-griswold-6a68922/ Connect with Laura Rainier: https://www.linkedin.com/in/laura-rainier-9087857/ Learn more about Gartner: https://www.gartner.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- 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 WEBINAR- SAP AI Inside the Supply Chain: From Silo to Orchestration: https://bit.ly/4bvpz6K   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/macro-trends-micro-moves-inside-gartner-supply-chain-top-25-1618 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 makes it easier than ever to find and act on information—especially now that teams can connect to and search across all the apps they use for work. So how do you ensure that only the right people and the right tools can access your team's most sensitive content? In this episode, we talk with Jess Jimenez, the head of security at Dropbox, about what security looks like in the age of AI at Dropbox-scale—from building AI products securely to building trust with the people who use them. Jess talks about the importance of access control lists, defending against the latest AI threats, and how Dropbox Protect helps teams securely share content with both humans and AI so they can collaborate more safely. ~ ~ ~  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!

Join Dr. Kal Patel, CEO and Co-Founder of BrightInsight, for an illuminating masterclass on navigating product-market fit (PMF) inside one of the most complex, highly regulated sectors in global business: healthcare. Every year, life science giants invest billions of dollars developing breakthrough biopharmaceutical therapies, yet nearly 50% of patients with chronic diseases drop off their prescribed medication regimes within the first twelve months. Drawing from his rare vantage point as a physician, former BCG strategist, former head of Amgen's Digital Health unit, and leader of BrightInsight, Dr. Patel breaks down why traditional "direct-to-consumer" wellness apps repeatedly fail, how to build enterprise software that biopharma giants trust to touch regulated therapies.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop speaks with Aaron Neyer, founder of Parachute and community organizer in Boulder, about knowledge management, extended minds, and the intersection of AI with human consciousness. They explore how Parachute functions as a digital brain tool for organizing thoughts and information across fragmented systems, discuss the dangers of AI psychosis and over-reliance on technology, and debate open source AI development versus controlled releases by companies like Anthropic. The conversation weaves through topics including the limitations of metrics-driven business thinking, consciousness and relevance realization, the value of technological sabbaths, and Aaron's hope for locally-run open source models that protect personal data while still accessing more powerful gated models when needed. You can find Aaron's writing at unforced.org and unforced.substack.com, and learn more about Parachute at parachute.computer and parachute.computer/blog.Timestamps00:00 Stewart welcomes Aaron Neyer, founder of Parachute and Boulder community organizer, discussing the origin of Parachute's name from Frank Zappa's quote about open minds.05:00 Aaron explains Parachute as an extended mind tool for organizing notes, contacts and information across multiple platforms, emphasizing the distinction between primary mind and extended mind as interconnected systems.10:00 Discussion shifts to metrics-driven business culture and the limitations of pure rationality, exploring how Google's data-driven approach misses subjective experience and the whole picture of relationships.15:00 Aaron discusses AI's ability to help identify relevant variables across different domains and the dangers of AI psychosis, comparing it to cult dynamics and belief systems.20:00 The conversation covers AI sabbaths and nineties retreats as intentional breaks from technology, plus Aaron's experiences with electrical engineering and using AI to design circuits with Arduinos.25:00 Exploring forbidden knowledge and open source AI, Aaron discusses Anthropic's guardrails around powerful models while arguing for distributed access to prevent concentration of power.30:00 Deep dive into open source AI strategy, with Aaron highlighting NVIDIA's approach and the potential for running capable models locally while reserving ultra-intelligent models for complex research tasks.35:00 Aaron shares his vision for local Sonnet-class models handling personal data while accessing Fable-class models for deep research, and directs listeners to unforced.org and parachute.computer for his writing.Key Insights1. The philosophy behind Parachute stems from Frank Zappa's quote that the mind is like a parachute and doesn't work if it isn't open. Aaron Neyer explains that having an open mind is valuable, but it must be balanced with deep roots to avoid becoming untethered. He has experienced periods in his life where excessive openness led him to feel disconnected, teaching him that creativity and expansion need to be grounded in something substantial. This same principle applies to how we organize information digitally, where openness and interoperability allow our extended minds to become more connected and coherent, which in turn helps our primary minds think more clearly.2. Parachute is designed as an extended mind tool that addresses the fragmentation problem in how we currently manage information. Most people use multiple disconnected tools like Obsidian, Notion, Apple Notes, Google Keep, and various CRMs to organize their thoughts, notes, and relationships. These systems don't communicate well with each other, creating inefficiency and confusion. Parachute aims to create a simple, intuitive system where all this information can be organized in one place with true interoperability, allowing users to own their data and have it speak effectively with other tools, ultimately making our entire extended mind more functional.3. Understanding ourselves as unified body mind organisms rather than fragmented parts is essential for effectiveness. Living systems theory shows that any living system is three things: a membrane bound dissipative structure, a self regulating autopoietic network, and a cognitive process actively knowing the world. Western civilization since Descartes and Galileo has created artificial separation between body and mind, and between subjective and objective experience, which limits our effectiveness. The same fragmentation affects our digital technology, and recognizing both our biological and digital systems as coherent wholes rather than disconnected parts makes us vastly more capable.4. The relationship between data driven approaches and holistic thinking reveals important limitations in modern business and science. While working at Google, Aaron observed how data driven decision making can be powerful, but over reliance on metrics like ROI creates blindness to crucial unmeasurable factors like goodwill and relationship quality. This reflects a broader Western tendency to exclude subjective experience because it's difficult for objective science to measure. However, emotions, relationships, and other subjective elements are essential parts of reality, and focusing only on quantifiable metrics means missing the whole picture and ultimately becoming less effective despite appearing more rational.5. AI accelerates the ability to work with technical complexity by helping with relevance realization across domains where we lack expertise. In any specialized field, experts develop intuitive senses for which variables matter and can quickly identify problems, whether in computer troubleshooting, music, or cooking. AI's ability to generalize allows it to point people toward relevant solutions in areas where they haven't developed that intuitive expertise, effectively democratizing technical capability. This means people can direct their creativity more effectively across more domains, though it also raises concerns about giving powerful capabilities to those who may lack the wisdom to use them responsibly.6. The question of open source AI versus gated access involves complex tradeoffs between democratizing power and preventing harm. Aaron respects Anthropic's approach of creating guardrails around powerful models like Mythos, which would likely have caused significant system hacks if released without restrictions. However, this creates concerning power dynamics where only wealthy companies, governments, and their allies have access to the most powerful tools. NVIDIA offers hope through their truly open source approach including full training pipelines, and there may be a viable path where open source models at the Sonnet capability level handle most tasks locally while more powerful Fable class models remain gated for the most demanding work.7. Creating intentional breaks from AI and technology is essential for maintaining clear independent thinking. Aaron practices an AI Sabbath at least one day per week when he doesn't interact with AI, and he finds these are the days when he does his best thinking and journaling. Without these breaks, he finds himself constantly jumping between journaling and prompting AI rather than giving himself space for deep reflection. This pattern mirrors broader concerns about AI consistency creating cult like dynamics similar to organized religion, where constant immersion in a belief system or technology can lead to losing the ability to think independently, making periodic disconnection crucial for maintaining cognitive autonomy and clarity.

Send us Fan MailIn this episode of the B2B Go-To-Market Leaders Podcast, Vijay Damojipurapu sits down with Andrew Davis, SVP of Marketing and Sales at TextUs, to explore what happens when one leader owns both marketing and sales—and why great go-to-market execution feels more like conducting an orchestra than running individual teams.Drawing from a career that spans door-to-door sales, demand generation, startup marketing, and executive leadership, Andrew shares how creativity, analytics, and relentless curiosity shaped his approach to building high-performing GTM organizations.The conversation explores the intersection of storytelling, revenue operations, and cross-functional leadership, while unpacking practical lessons on ICP validation, demand generation, conversion optimization, and decision-making.They dive into:Why Andrew defines GTM as the orchestration of every business function around a shared growth objective.How combining creative storytelling with data analysis became his competitive advantage in marketing.Why marketers should think like revenue operators, not just creative professionals.The importance of defining what success looks like before launching any campaign or initiative.How video marketing became a powerful differentiator by simplifying complex B2B software products.Why measuring pipeline and revenue matters far more than vanity metrics like website traffic.The value of partnering closely with sales and why marketing and sales should operate as one unified GTM team.A simple website navigation change that dramatically increased qualified pipeline for a new product offering.Lessons learned from expanding into a new ICP before the market was ready and how customer conversations revealed hidden adoption barriers.Why talking directly to lost prospects often provides better GTM insights than dashboards alone.How ownership, accountability, and cross-functional trust create stronger execution across an organization.Andrew's advice to future GTM leaders: don't hesitate; execute, learn quickly, and iterate.Andrew's core message is simple:Great go-to-market leaders don't just generate attention—they align people, measure outcomes, and continuously adapt based on what the market is telling them.This episode is a practical masterclass on modern demand generation, marketing leadership, sales alignment, and building GTM organizations that consistently execute.Connect with Vijay Damojipurapu on LinkedInConnect with Andrew Davis on LinkedInBrought to you by: stratyve.com

Tony Holdstock-Brown is the co-founder and CEO of Inngest, the durable execution platform that quietly powers your favorite AI agents.We get into why agents work in a demo and die in production, building their own cloud to get 20x lower cost, growing 35x after AWS and Cloudflare copied them, growing a dev tools company without a personal brand or Twitter account, why he thinks evals today are like “asking the criminal if they committed the crime”, and the thing they built to score 100% of your production agents without paying for LLM as a judge.Thank you to Numeral, Flex, Amplitude, Merge, and Monaco for supporting this episode.Numeral: Sales tax on autopilot https://www.numeral.comFlex: Premium banking, 60-day credit, 0% APR https://home.flex.one/referral/bananacapitalAmplitude: AI analytics https://www.amplitude.comMerge: Every model, one API https://www.merge.dev/turnerMonaco: The revenue engine for startups https://www.monaco.com/Timestamps:(0:00) The hidden infra layer every AI agent runs on(1:46) Building complex chains of logic(3:31) Why agent SDK's don't go far enough(4:49) Healthcare was the original event-driven nightmare(6:32) Storing traces on your infrastructure enables self-improving loops(14:26) Why Inngest was already in the right place for AI(15:49) Score agents off product events, not LLM's(17:31) The OpenAI copy-paste signal(21:24) Swap in LLMs and cut costs 20x(23:44) How customers pulled the product forward(25:41) Orchestration belongs outside the sandbox(29:48) Building a neocloud to cut costs 20x(32:09) Most neoclouds just resell AWS(32:54) All AI infrastructure is converging(34:49) Why Claude can't just build your backend(36:44) How to build a software factory(39:12) Agents are a lottery you get addicted to(42:44) Loops must exist until AGI hits(45:38) If models keep getting better, why orchestrate?(48:28) When incumbents steal your features(52:30) Why you can't vibe code infrastructure(55:54) Why Tony has no personal brand(59:38) Dev tools GTM without Twitter(1:03:20) Lessons from the founder of DuckDuckGo(1:10:39) Truth as a company value(1:13:08) Taking too long adapting to AI(1:15:10) Startups are 100% R&D(1:17:19) Ali from Databricks(1:19:03) Writing his own code, Voice-to-text with local models(1:23:53) Evals are batshit insaneReferencedInngest: https://www.inngest.com/Principles by Ray Dalio: https://www.amazon.com/dp/1501124021?lv=shuf&channelId=500&plpRedirect=mhFallbackTraction - How Any Startup Can Achieve Explosive Customer Growth: https://www.amazon.com/dp/1591848369?lv=shuf&channelId=500&plpRedirect=mhFallbackFollow TonyTwitter: https://x.com/itstonyhbLinkedIn: https://www.linkedin.com/in/tonyhb/Follow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

What if the things you're desperately trying to force are already making their way to you?In this episode, I'm taking you behind the scenes of how my newest retreat came to life, and trust me, I never could have planned it the way it unfolded!Although this retreat has only just sold out, the truth is its story began over four years ago. Looking back now, I can see the seemingly random conversations, unexpected opportunities, courageous decisions, and intuitive nudges that slowly led me here. At the time, none of it made logical sense. But in hindsight, every single step was preparing me for this moment.I also share the powerful reminder that some of the greatest opportunities, relationships, abundance, and experiences in my life haven't arrived because I controlled every detail. They arrived because I was willing to pay attention to the breadcrumbs, trust my intuition, and keep taking the next aligned step, even when I couldn't yet see where the path was leading.This episode is an invitation to zoom out and reflect on your own life. What if the delays, detours, and unexpected turns aren't setbacks at all? What if they're part of something far greater than you can currently see?If you've ever questioned your timing, felt frustrated by uncertainty, or wondered whether life is really working in your favour, I hope this conversation reminds you that divine orchestration is often only visible in hindsight.Sometimes your only job is to trust the next breadcrumb.ENJOY X

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!

Welcome back T&J fam! This week we come ready with a Dirty Brew Coffee Review. Josh brought in some whole bean coffee from a local ministry - Fresh Start Coffee Works. It proves to be an excellent daily drinker that delivers a solid 6.2 on the completely made up T&J coffee scale. Josh also introduces us to a new game that will prove to be very addictive if you allow. We then transition into a discussion on medical emergencies at church and the bad things that happen in life. In response to a listener question, we discuss the age old debate or "why do bad things happen" and what is God's role in these things. We try to define what "bad" is and discuss our views of God and His level of intervention with creation. We then circle back around and try to explain our answer to this difficult question. Feel free to send us your thoughts and opinions to the address below. tattoosandjesuspodcast@gmail.com

For years, the marketer's job ended when the campaign shipped. Hit send, check the numbers, measure growth, repeat. That model is changing, and what replaces it is agentic orchestration, where the system and the journey around a message matter more than a single send. Recorded live at K:LDN 2026, this conversation pairs the person building the AI with an operator running it at real scale. Gilbert Hsu, who leads Marketing AI at Klaviyo, sits down with Alon Turchin, VP of Retention at Particle, a US-manufactured DTC self-care brand for men with a marketing team based in Israel. That kind of scale brings real complexity, and this is where Composer by Klaviyo brings solutions at scale. Alon describes it today as the brain and the eyes, the thing that finds and frames problems he might not catch manually. His wish list is for it to become the hands too, trusted to edit filters, rules, and content, a trust he says has to be earned through testing first. Closing advice for teams earlier in their journey: know your audience before you trust anyone's benchmarks, remember that selling is mostly psychological, and test your way to what actually works rather than assuming you already know. What you'll learn How Particle scaled from one million to ten million monthly sends in weeks, not months, while doubling revenue Why "the campaign is not the product, the system is" changes what a marketing team actually optimizes for How Particle segments customers and non-customers by urgency and lifecycle stage across 150-plus flows and 100-plus forms Where Composer fits today (the brain and the eyes) and what Alon wants it to become next (the hands) Why rigorous A/B testing is the gate that lets Alon hand more decisions to AI Alon's advice for marketers earlier in their own orchestration journey Key takeaways Alon's operating principle: the campaign is not the product, the system is, meaning the journey around a message matters more than the message itself. Particle scaled from one million to ten million sends a month in a matter of weeks, not months or a year of slow warmup, while revenue doubled, run across more than 150 active flows and 100-plus forms. Segmentation isn't just more lists, it's urgency based. Recent sign-ups get reached while the brand is still top of mind. Older, colder contacts get reintroduced rather than ignored. Composer today functions as the brain and the eyes, surfacing problems and opportunities Alon might miss manually. His wish list is for it to become the hands, trusted to edit filters, rules, and content, once testing earns that trust. Alon's closing advice: don't assume you know your audience or trust someone else's benchmark. Selling is mostly psychological, so test relentlessly until you find what actually works for your own customers. Chapters 0:00 Cold open and introductions 1:38 Meet Particle, and how the marketing job has changed 2:48 The campaign is not the product, the system is 3:30 From engagement to behavior-based segmentation 4:49 Why sending more, to the right tiers, doubled revenue 7:12 Managing 150-plus flows without losing control 7:55 Composer as the brain and eyes, and the wishlist for the hands 10:43 Keeping the brand's soul with a human in the loop 11:55 Advice for teams earlier in the journey In-Show Mentions: Learn more about Klaviyo's Composer Associated Links: Check out Future Commerce on YouTube Check out Future Commerce Plus for exclusive content and save on merch and print Subscribe to Insiders and The Senses to read more about what we are witnessing in the commerce world Listen to our other episodes of Future Commerce Have any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

"On va essayer d'être présent un peu partout, tu vois, comme on est universel." Le D.E.V. de la semaine est Loïc Mathieu, Lead Software Engineer chez Kestra Technologies qui vient de lever $25M dans une série A menée par RTP Global. Avec plus de vingt ans de dev derrière lui, Loïc raconte comment Kestra vise à devenir l'orchestrateur universel, capable de piloter aussi bien de la donnée en giga qu'en tera, de l'infra ou du business. On parle migration de workflows sans big bang, adaptation aux nouvelles technos, et compromis permanents entre performance et polyvalence. Loïc partage des retours très concrets sur les usages inattendus de Kestra et la vision produit derrière chaque plugin. Un épisode dense, sincère et technique, pour tout dev qui rêverait d'un chef d'orchestre central mais pas monolithique. Vous pouvez suivre Loïc sur Bluesky ou sur son blog.Chapitrages00:00:54 : Orchestration de la donnée00:04:06 : Pourquoi Kestra est né00:06:11 : Une plateforme unifiée00:08:35 : Triggers et workflows00:11:01 : Modèle d'exécution00:15:36 : Du data à l'infrastructure00:18:04 : Migrer sans tout casser00:20:15 : Formats de données00:22:45 : Volume et performance00:26:10 : Sécurité des workflows00:34:24 : Orchestration des agents IA00:40:58 : Capacity planning00:46:07 : Les prochains défis Liens évoqués pendant l'émission Viza "Made in Tchernobyl" : Spotify Deezer Apple Music

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!

AI commoditises knowledge production and throws judgment into scarcity. In this episode, Ed Smith asks what that means for sport, education and the people building careers in the business — and why the humanities might be the most undervalued edge in an age of machines.About the guestEd Smith is an unusual hybrid in today's sports world. An academic, he left Cambridge with a Double First in History, and is the author of several excellent books including Luck, Making Decisions and What Sport Tells Us About Life. He served as Chief Selector for England men's cricket from 2018 to 2021, and is the current President of the MCC. In 2019 he co-founded the Institute of Sports Humanities, which offers the Strategic Sport Leadership Master's — a programme designed for ambitious sports industry executives looking to accelerate their careers while continuing to work. Applications for the next cohort, starting at the end of September, are now open: sportshumanities.orgWhat we coverThe Moneyball hangover. Why the lazy reading of Billy Beane — "scouts are idiots, if it's not data it's not real" — was always wrong, and how elite sport has swung back to data as one source among many, not the whole story.The limits of scientism. Ed on "creeping scientism," the idea that nothing's true unless it can be proved — and why some decisions (COVID policy, selection calls) carry intrinsic radical uncertainty that probability can't resolve.Can judgment be taught? The case that the entire humanities tradition — criticism, history, weighing competing evidence — is really an apparatus for honing judgment, the skill AI makes scarce rather than obsolete.Orchestration and the curated platform. What happens when a creative questioner goes straight to a powerful AI platform with curated data — near-instant insight — and why the bottleneck becomes asking the right question.The apprenticeship gap. If AI absorbs the entry-level rungs of knowledge work (in law, in sport), how does anyone climb to the judgment seat at the top? Ed's two answers: institutionalised challenge, and getting your hands dirty early.Sport as the last human product. Why Ed is "long sport" in the age of AI — live, embodied, uncertain competition as the most anti-fragile asset there is — and why the Tech Titans buying into London Spirit were buying the green grass, not the gadget.The purpose problem. As production gets frictionless, meaning becomes the scarce good. Where the humanities, the arts and sport come into their own.Careers without bosses. Charles Handy's "look for customers, not bosses," the death of the 50-year career path, and what an ideal student looks like: someone who doesn't know what's coming but trusts they can cope with it.People, books & ideas referencedJohn Kay & Mervyn King, Radical Uncertainty · Peter Bernstein, Against the GodsIain McGilchrist, The Matter With Things (and his left-brain/right-brain work)Michael Lewis, Moneyball · Howard Marks, Oaktree memos · Charles HandyInstitute of Sports Humanities — MA delivered with Loughborough University LondonUnofficial Partner is the leading podcast for the business of sport. A mix of entertaining and thought provoking conversations with a who's who of the global industry. To join our community of listeners, sign up to the weekly UP Newsletter and follow us on Twitter and TikTok at @UnofficialPartnerWe publish two podcasts each week, on Tuesday and Friday. These are deep conversations with smart people from inside and outside sport. Our entire back catalogue of 500 sports business conversations are available free of charge here. Each pod is available by searching for ‘Unofficial Partner' on Apple, Spotify and every podcast app. If you're interested in collaborating with Unofficial Partner to create one-off podcasts or series and live events, you can reach us via the website.

In this episode, Philip Johnston returns to explain how Orchestration Recipes makes complex concepts more practical, what Volume 6 brings to everyday orchestral writing, and where AI may fit into the future of composition and virtual performance.Orchestration Recipes Vol. 6 is out now!https://orchestrationrecipes.comSupport for the 52 Cues Podcast comes from ReelCrafter, the professional way to pitch your production music and know exactly when your cues are heard.Start your free trial at ReelCrafter.com/52Cues!Join the 52 Cues Community! – https://my.52cues.comIt's free to post your cues for feedback from the community, network with other composers, and ask questions about the industry!Plus, member subscribers get extra perks like workshops, livestreams,  cue breakdowns, live feedback sessions, hundreds of hours of video archives, and opportunities to submit to real music libraries.One-on-one coaching sessions and video critiques also available at http://52cues.com/coaching!Note: Links may be affiliate links which generate a small commission but at no extra cost to you!

Smart data, standards, trust frameworks, data exchange and orchestration are terms every lender is hearing right now, and most are being used interchangeably when they shouldn't. In this episode the Novus Strategy team pulls them apart, explains how they fit together, and sets out what lenders should be doing about it now. What Smart Data actually is: verifiable, reusable data that moves securely between parties The difference between a data exchange (the rail that moves verified data) and orchestration (the layer that coordinates it) Where HDI (Horizontal Digital Integration) sits as the operating model that makes Smart Data usable Why a decade of digitisation made transactions slower, not faster, and what vertical vs horizontal integration really means The signals driving urgency now: the Data (Use and Access) Act, government-backed programmes, and property as a priority use case How this scales, the closed vs open loop question, and the governance and monopoly risks worth watching Why none of the AI being sold to lenders works without the data foundations underneath it   Fundamentally, stop guessing where your friction sits and ask us about Pathfinder, our mortgage journey simulator, and quantify the highest-value moves before you commit a pound of investment. If you sit in transformation, product or customer journey, this is the context behind the questions lenders keep bringing us. To be the first to receive our monthly Digital Disruption newsletter in print, sign up here: https://events.novus-strategy.com/newsletter-sign-up For more insights, visit https://www.novus-strategy.com/ connect with us on LinkedIn at https://www.linkedin.com/company/novus-strategy/ or email us at hello@novus-strategy.com.

Stewart Alsop hosts a conversation with Oliver Polzin, a founding team member of Meow Wolf and naturalist, exploring the intersection of creativity, conservation, and architecture. Oliver discusses his current postgraduate work at SCI-Arc in Los Angeles studying synthetic landscapes through an architectural lens, his deep fascination with Pleistocene megafauna and the La Brea Tar Pits, and his vision for creating a "biophilic culture" that reframes humanity's relationship with other species and ecosystems. The discussion ranges from Oliver's early work building mud caves at Meow Wolf to his current explorations of AI-assisted design tools, 3D printing with recycled materials, holistic grazing management systems for the Great Plains, and the ancient Amazonian practice of creating terra preta soil—all part of his broader investigation into how we can design interventions for climate and conservation issues while maintaining what makes us fundamentally human.Timestamps00:00 Stewart introduces Oliver Polzin from Meow Wolf's founding team and discusses how his yoga teaching there inspired the podcast's exploration of creativity and stress relationships.05:00 Oliver describes his architecture graduate program studying climate and conservation through synthetic landscapes, contrasting dark green naturalist ecology with bright green capitalist environmentalism.10:00 Discussion of conservation ethics and AI's potential for monitoring environmental systems, with Oliver explaining his journey from painting to experimental mud construction at early Meow Wolf.15:00 Stewart shares his robotics learning journey with ESP32s in Buenos Aires while Oliver questions humanoid robot design, suggesting functional form factors matter more than human resemblance.20:00 Oliver explores cardboard as material obsession and explains treasure hunt mechanics in Meow Wolf exhibits, creating dopamine-driven discovery experiences through layered storytelling.25:00 Stewart describes creating treasure hunts for Spanish learners in Buenos Aires parks while Oliver validates experiential art's growing importance in an increasingly digital culture.30:00 Conversation shifts to three-d printing flexible filaments for architectural models and Oliver's megafauna book project about La Brea Tar Pits Pleistocene fossils.35:00 Oliver connects Earth consciousness to Pale Blue Dot perspective, arguing humans face developmental threshold understanding planetary responsibility after 300,000 years as anatomically modern species.40:00 Deep dive into end-Pleistocene extinction events and megafauna loss, discussing two-ton capybaras and how predator relationships shaped human psychology and anxiety responses.45:00 Oliver presents speculative Great Plains biopreserve concept with de-extinct megafauna, contrasting holistic rotational grazing with destructive monoculture agriculture systems.50:00 Discussion concludes with Amazonian dark earth technology and indigenous landscape management, emphasizing need for biophilic culture embracing deep time ecological perspective.Key Insights1. Oliver Polzin is part of the founding team of Meow Wolf and is currently studying at SCI-Arc in Downtown LA in a postgraduate program called Synthetic Landscapes, which examines global scale climate and conservation issues through an architectural lens. Architecture exists between art and science, and he believes architectural thinking offers a valuable framework for designing interventions for climate and conservation challenges. This program represents a significant evolution from his earlier work at Meow Wolf, where he created immersive experiential art installations using materials like adobe and cardboard.2. There is an important distinction in ecological thought between what Paul Kingsnorth calls dark green and light green approaches to environmentalism. The dark green strain represents the older naturalist movement from the early twentieth century, focusing on biological systems, ecosystems, and endangered species. Light green emerged in the 1970s after the Earth Day movement and centers on clean energy, solar panels, and wind power as a way to maintain our current lifestyle. Oliver argues that the bright green approach represents a capitalist overlay that has captured the conservation movement, whereas true conservation requires focusing on actual biological systems rather than just technological solutions.3. The experiential art form that Meow Wolf pioneered still has enormous untapped potential, particularly as society becomes increasingly digital. Oliver believes there will be a huge wave of experiential desire in this decade as people crave human connection and real-world excitement. The treasure hunt and scavenger hunt format represents a compelling form of real-life RPG that creates meaningful human interactions. This type of experience design, which Meow Wolf developed through installations like the House of Eternal Return, plays with human dopamine systems by compelling people to open doors, explore spaces, and follow narrative threads through physical environments.4. The architectural model or dollhouse concept represents a crucial rhetorical tool that Oliver is learning to apply to climate and conservation work. Architects have long created physical models to show stakeholders what a building will be like, and this practice of showing a story in compelling ways for different types of brains is essential for getting traction on projects. While architectural models used to be made from foam core, paper, and balsa wood, they are now largely created through 3D printing, which allows for incredibly complex forms and interlocking structures that would have been impossible to construct manually.5. Oliver is obsessed with megafauna and the end Pleistocene extinction event that occurred roughly twelve thousand years ago. For three hundred thousand years, anatomically modern humans existed alongside massive beasts like short faced bears and American lions, and we were the smaller creatures in the ecosystem. The extinction of over one hundred genera of animals over ninety nine pounds, combined with sea level rise of nearly four hundred feet, fundamentally changed human existence and led to the development of agriculture and civilization. Much of our current psychological development, including anxiety responses, is still based on this time period when we lived among these massive animals.6. The current food system in the Great Plains is fundamentally broken compared to the historical managed food system maintained by Plains tribes, who sustained thirty to sixty million bison through 1800. Oliver explored a speculative project about turning the Great Plains into a massive biopreserve of de-extinct megafauna, contrasting the natural system of rotational grazing where predators keep herds moving with the current monoculture crop agriculture that requires external inputs like fertilizer, pesticides, and herbicides. The natural system builds soil and increases fecundity, while industrial agriculture degrades soil, creates toxic runoff, and produces genetically modified crops that feed animals in toxic concentrated feeding operations.7. The fundamental challenge facing humanity now is creating what Oliver calls a biophilic or ecophilic culture that is loving of other species and our home planet. This requires both psychological shifts and changes in how we design systems at all scales. The Amazon provides a powerful example of this, as recent LiDAR mapping has revealed that what appeared to be pristine wilderness was actually a vast tended garden created by indigenous civilizations who developed technologies like Amazonian dark earth through burning middens with various additives. These cultures understood how to be embedded in a web with other species while playing an important orchestrating role, offering a model for how humans might relate to other forms of life in our current era.

In Episode 308 of the FNO InsureTech Podcast, hosts Rob Beller and Lee Boyd welcome Tim Welsh, President of CCC Intelligent Solutions, for a powerful conversation on one of the most important and emotional moments in insurance: the accident experience and how it can be improved through better connectivity, data, and orchestration across the ecosystem. Tim shares his unique journey from consulting at McKinsey to banking and now leading a cornerstone InsureTech platform that connects insurers, repair facilities, OEMs, and service providers. He explains how CCC has been building toward this moment for decades and how the company is now bringing together AI, data, and partnerships to create a more seamless and supportive claims experience. The conversation explores the reality that car accidents are not just operational events, but deeply personal ones that people remember for years. Tim highlights how CCC is focused on redesigning that experience from the consumer's perspective, using a combination of technology and human expertise to guide individuals through a stressful moment and help them move forward quickly. Rob and Lee also dig into the growing complexity of vehicles, rising repair costs, and the pressure on affordability across the system. Tim shares how CCC is addressing these challenges through orchestration, real time decision making, and a "together on purpose" approach that aligns everyone in the ecosystem. This episode goes beyond technology, offering a human centered view of innovation and a clear vision for how the claims experience can evolve to better serve both consumers and the industry. Key Highlights [04:00] Meet Tim Welsh and CCC Intelligent Solutions An introduction to CCC and its role as a long standing platform connecting insurers, repair shops, OEMs, and service providers across the claims ecosystem. [07:00] A Career Built on Helping People Tim shares his unconventional journey from preparing for the priesthood to consulting, banking, and ultimately leading at CCC. [10:00] Why Accidents Are So Memorable A discussion on how car accidents rank among life's most vivid experiences and why improving that moment matters so deeply. [13:00] The Complexity Behind a Simple Repair How modern vehicles, with thousands of parts and software driven systems, have dramatically increased repair costs and claims complexity. [16:00] The Consumer at the Center Introducing "Ava," the model consumer, and how CCC is designing the claims experience around her needs from first notice through repair. [19:00] Orchestrating the Claims Journey How technology is connecting each step of the process, from photos and estimates to scheduling and parts ordering, into a seamless flow. [22:00] Preventing Total Loss Through Real Time Decisions A look at how dynamic decision making across the ecosystem can reduce unnecessary total losses and improve outcomes for everyone involved. [25:00] Affordability and the Small Claims Problem Why rising premiums and deductibles are changing consumer behavior and leading to fewer small claims being reported. [28:00] AI as Orchestration, Not Replacement How CCC is using AI to guide workflows and enhance human decision making rather than replace adjusters and claims professionals. [31:00] AI Guidance in Action Examples of how AI can prioritize tasks for adjusters, helping them focus on the most impactful actions each day. [34:00] The Power of Ecosystem Connectivity Why bringing insurers, repair shops, OEMs, and partners together on one platform is critical to unlocking better outcomes. [37:00] Together on Purpose The philosophy behind CCC's approach, aligning all players around a shared goal of improving the consumer experience. [40:00] Feeding Insights Back to Manufacturers How data from claims can influence vehicle design and repairability over time. [42:00] What "Easy" Looks Like A real world example of a smooth repair experience and why that is the ultimate goal. [44:00] Final Thoughts on the Future of Claims Tim shares his vision for a more connected, efficient, and human centered claims experience that benefits both consumers and the entire industry.

How do you build AI that actually understands you and the work you do? It all starts with having the right context.  We talk with Dropbox staff product manager Noorain Noorani and principal engineer Sean-Michael Lewis about the art of context engineering and how Dropbox connects to all the tools your team needs for work—so you get AI that works wherever you do.  ~ ~ ~  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!

In this episode of Alexa's Input (AI), I sit down with David Aronchick, co-founder and CEO of Expanso and former product lead for Kubernetes at Google.Data is growing everywhere outside your data center. Solar panels in remote across a country. Security cameras at retail stores. IoT sensors across factory floors. And moving that data to the cloud for processing? It's expensive, slow, and often restricted by compliance.David is an expert when it comes to solving distribution problems. He led Kubernetes product at Google, co-founded Kubeflow to bring ML to production, and now he's building Expanso to tackle a difficult constraint: when your data can't move, how do you process it where it lives?We discuss:- The need for distributed data orchestration-Upstream data control: filtering and transforming at the source- Three forces making edge computing inevitable (physics, regulations, economics)- How to build successful open source infrastructure projects- Customer discovery and finding real pain points- His transition from Protocol Labs to founding Expanso- ETL pipelines: moving the first four steps closer to the data- Context loss and lineage in distributed systems- Processing 400,000 signals per second with 150MB agents- AI observability: attaching source metadata to training data- Running ML pipelines at the edge- Real-world deployment challenges (bandwidth, regulations, cost)Expanso is rethinking how we process data in an AI-native world—moving compute to data instead of data to compute. If you want to understand where distributed systems and edge computing are heading, this is a deep dive into the infrastructure layer beneath modern AI applications.General Podcast LinksWatch: https://www.youtube.com/@alexa_griffith Read: https://alexasinput.substack.com/ Listen: https://creators.spotify.com/pod/profile/alexagriffith/ More: https://linktr.ee/alexagriffithLearn more about the host atWebsite: https://alexagriffith.com/ LinkedIn: https://www.linkedin.com/in/alexa-griffith/Find out more about the guest atLinkedIn: https://www.linkedin.com/in/aronchick/ Twitter/X: https://x.com/aronchick GitHub: https://github.com/aronchick Expanso Website: https://expanso.io/ResourcesExpanso Website: https://expanso.io/ Kubernetes: https://kubernetes.io/ Kubeflow: https://www.kubeflow.org/ CNCF (Cloud Native Computing Foundation): https://www.cncf.io/ Protocol Labs: https://protocol.ai/KeywordsDavid Aronchick, Expanso, Kubernetes, Kubeflow, distributed systems, edge computing, data pipelines, ETL, upstream data control, Google Kubernetes Engine, open source, CNCF, observability, log processing, data lineage, provenance, schema enforcement, IoT, edge AI, distributed data, machine learning infrastructure, Protocol Labs, IPFS, Filecoin, data governance, compliance, GDPR, bandwidth optimization, data aggregation, AI infrastructure, multi-cloud, hybrid cloud, real-time processing

In just twelve months, the conversation around Agentic AI in insurance has changed dramatically.  What began as curiosity about autonomous AI agents has evolved into a much more practical discussion about implementation, governance, economics and competitive advantage.  In this special solo episode, InsTech's Zoja Wojcik reflects on the developments that have shaped the market since InsTech's first Agentic AI event in November 2025. Drawing on conversations with insurers, brokers, MGAs, technology providers and industry leaders, she explores how the industry has moved beyond experimentation and towards a more challenging question: where does the commercial value actually come from?  Along the way, you'll hear insights from Simon Torrance, Erdal Atakan, Gina Gill, Elena Maran, Max Richter and Ian Thompson, alongside examples of how organisations including CFC, McGill & Partners, AIG, Duck Creek and hyperexponential are bringing Agentic AI into real insurance operations.  Whether you're still trying to understand what Agentic AI means for insurance or already evaluating deployment opportunities, this episode offers a practical snapshot of where the market stands today and the questions leaders should be asking next.  Want to continue the conversation? Join us in London on July 7 for 'The age of Agentic AI: from strategy to commercial value'. In this episode:  00:00 - What is Agentic AI and why has it become one of insurance's most discussed technologies?  03:15 - Looking back at the industry's first major Agentic AI event in November 2025  05:45 - Simon Torrance on why Agentic AI should be viewed as a new workforce, not simply another software tool  06:20 - Early deployment examples from across the insurance market:  CFC's Lane Assist   McGill & Partners and Salesforce Agentforce   AIG's AI-driven underwriting initiatives   Federato's agentic underwriting platform   hyperexponential and Banyan Risk   Duck Creek's insurance-native Agentic AI platform   08:15 - Why moving from pilot projects to production remains difficult  10:00 - The defining question of 2026: proving commercial value and ROI  12:15 - Intelligence Capital, competitive advantage and why buying AI tools may only create parity  13:30 - Orchestration, governance and maintaining trust in agentic systems  15:00 - Workforce transformation and practical lessons for insurance leaders  16:00 - What questions should insurance organisations be asking next?  Key takeaways:  The industry conversation has shifted from experimentation towards implementation and measurable business outcomes.   Many of the biggest barriers to adoption are organisational rather than technical.   Boards increasingly expect clear economic justification for AI investment.   Competitive advantage may come less from AI models themselves and more from institutional knowledge and decision-making expertise.   Governance frameworks must evolve alongside increasingly autonomous systems.   Organisations that focus on specific business problems are more likely to succeed than those pursuing AI for its own sake.   Featured contributors:  Simon Torrance, AI Risk   Erdal Atakan, Inigo   Gina Gill, Apollo   Elena Maran, Alethesis AI   Max Richter, Mea platform   Ian Thompson, IMT Advisory  Further reading:  For listeners looking to explore the themes discussed in this episode:  Agentic AI & insurance  Podcast episode: Where is the industry today? – a view from the C-suite (A rare C-suite perspective on Agentic AI: what it is, how it's being deployed and why senior leaders are walking a tightrope between bold innovation and operational risk.)  CFC launches Lane Assist, a live agentic underwriting pilot  McGill & Partners becomes first London Market broker to deploy Agentic AI  McGill + AIG collaboration using AI-driven underwriting  Duck Creek launches insurance-native Agentic AI Platform  Federato RiskOps and Agentic underwriting platform  MGA Banyan Risk deploys hx's full agentic underwriting suite  Strategy & commercial value  Simon Torrance's work on Intelligence Capital   AI Risk research on Agentic AI and enterprise transformation   InsTech & ServiceNow New York event: The future of insurance will be orchestrated, not built  Governance & Responsible AI  Article: The New Frontier: Managing and insuring generative and agentic AI risks with Edinburgh Futures Institute  Podcast episode: Creating a new kind of assurance & insurance framework for AI-related risks (This episode unpacks one of the most ambitious research initiatives currently shaping the future of AI risk in insurance.) 

What if the biggest efficiency problem in your factory isn't your machines, it's the dead time you waste before you even get to one.Workers queuing at ADP and ERP terminals every morning. A wing rib scrapped at the cost of $18,000 because the wrong work instruction was on screen. A program gone forever when the machinist who maintained it quietly for a decade retired to Poland. David witnessed all of these problems within his manufacturing acquisitions despite them having advanced tech for the time period.Chris sits down with David Caputo, Co-Founder of Harmoni, to get into how his intelligent factory orchestration system connects machines, people, and data for true control across the shop floor.Harmoni fills the gap in the renowned ISA-95 stack that most manufacturers never knew they were missing, supplementing human-intensive operations that make up 99% of the market.Harmoni operates within three buckets with the aim of wasting less time and making less mistakes. The system is designed to cover all bases without interfering with the essential human input needed to fulfil complex tasks. David talks to Chris about the labor automation, process control, and observability that Harmoni brings to the factory floor.In this episode, find out:What factory orchestration is and why David sees it as a distinct category from existing toolsHow David's experience acquiring and running four aerospace and defense manufacturers drove the creation of HarmoniWhy Harmoni's three pillars (labor automation, process control, and observability) address the ISA-95 gap that leaves most human-intensive factories underservedHow the no-titles, pods-based structure at Harmoni works and why David recommends it for companies under around 200 employeesWhat the Harmoni AI Lieutenant (HAL) does on the shop floor versus in the office, and why shop floor AI requires both context and a delivery mechanism to be usefulWhere David sees the 297,000 US manufacturers under 500 employees needing to compete in a world of autonomous factories and vertically integrated supply chainsWhy David advises manufacturers to ask one question before any software investment: how will this tool change what happens on my shop floorEnjoying the show? Please leave us a review here. Even one sentence helps. It's feedback from Manufacturing All-Stars like you that keeps us going!Tweetable Quotes:"What Harmoni's built is a new category of technology. We call this factory orchestration, and there's a very simple goal: waste less time and make fewer mistakes." - David Caputo“Simply having indicator lights to say whether a machine's running is not telling you the full picture. A machine could be running but running very inefficiently. We're giving you the information you need and allowing you to manage your factory in real time.” - David Caputo“Somehow you have to produce more with less, all in the face of autonomous competition and vertically integrated supply chains. Pretty tough position for the 300,000 manufacturers in this country.” - David CaputoLinks & mentions:Harmoni.io, bringing together data from operators, machines, and your shop floor software, all in real-time, to help managers make decisions and spot trends quicklyGreenwich Street Tavern, a different tavern experience that takes a traditional American pub fare menu to the next level located in Tribeca in NYCMake sure to visit http://manufacturinghappyhour.com for detailed show notes and a full list of resources mentioned in this episode. Stay Innovative, Stay Thirsty.

AI can finally write back to the plant floor, but only if you can trust it. Chris Stevens and Annemarie Breu of Siemens explain how orchestration makes that safe.Industrial AI has reached a turning point. Manufacturers can already collect data, contextualize it, and surface insights, but the hardest step has always been turning insight into action on real control equipment. Chris Stevens and Annemarie Breu of Siemens explain how an orchestration layer finally closes that loop. Annemarie frames the tension clearly. Automation depends on determinism, while large language models are probabilistic by design, so the goal is to bring that discipline into AI and validate any suggestion before it changes a set point.Most executive conversations start with return on investment, and two forces are making the case easier to prove. The workforce shortage has stretched the expected payback window from 18 months toward 36 months, and when a line cannot run for lack of people every idle minute costs thousands of dollars. The other driver is overall equipment effectiveness, since most plants run near 70 percent OEE and even a fraction of a percent of gain can justify a project. Energy is a standout case too. A BorgWarner sustainability effort used a digital twin to flatten demand peaks and reportedly paid for itself in under six months, even as data center growth pushes electricity demand higher through 2040.On trust and safety, Annemarie borrows a principle from industrial safety. Just as fail safe IO modules rely on two channel evaluation, every AI suggestion is validated against a state machine, a workflow, or a physics based digital twin before the orchestration layer passes it to a controller. With virtual commissioning and soft PLCs a change can be tested virtually, approved by a human in the loop, and only then written to control, an approach PepsiCo and NVIDIA echoed at CES when they called the digital twin a must have. Making AI real, the pair argue, comes down to discipline, clear scope, acceptance criteria, and focused 90 day challenges, plus the change management and user experience that drive adoption. Their favorite quick win is preventive maintenance driven by machine data, which both BorgWarner and Maersk tied to millions in savings.About Chris StevensChris Stevens is President of US Automation at Siemens, where he leads a roughly one billion dollar business spanning software, services, and hardware. He brings more than 25 years across Siemens Digital Industries, starting in the field selling assembly and test equipment, moving into the software and digital twin world, and returning to automation to bring the hardware and software sides of the business together.About Annemarie BreuAnnemarie Breu is a senior technology leader at Siemens Digital Industries focused on automation software deployment and customer technology partnerships in the US. She began at Siemens about a decade ago as a systems engineer in the San Francisco Bay Area, working with consumer electronics manufacturers on virtual commissioning and digital twins. Her work today centers on bringing the determinism and reliability of automation into industrial AI.Timestamps0:00 Introduction and Automate 2026 preview2:50 Meet Chris Stevens and Annemarie Breu9:30 The first AI question is always ROI14:00 Workforce gaps and OEE drive the business case19:30 Energy management and the data center demand surge23:20 Data, sensors, and contextualization requirements28:00 Guardrails, hallucinations, and two channel validation32:40 The digital twin and the human in the loop37:40 How partners and integrators move up the stack45:30 What it takes to make AI real on the floor55:50 Preventive maintenance as a quick win59:40 Predictions, career advice, and book picksAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Edge Computing and the Value of AI in Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataIT and OT Architecture Integration: https://www.joltek.com/services/service-details-it-ot-architecture-integrationDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/Subscribe to Manufacturing Hub: https://www.manufacturinghub.liveLinkedIn: https://www.linkedin.com/company/manufacturing-hub-networkYouTube: https://www.youtube.com/@ManufacturingHub

Cal built the kind of life most men spend their whole lives chasing. Then a night in Vegas showed him it wasn't the one he was meant to live.Cal Callahan walked away from a successful career in finance to host The Great Unlearn and build Unlearn Ventures, a fund and studio backing conscious projects that put people over profit. He lived the accumulation side of the equation long enough to know exactly what it costs.Net worth and self-worth are not the same thing, and most men find that out too late. Cal breaks down the season of unlearning, what his healing work with Kyle Coursey cracked open, why old patterns resurface, and what open-mindedness really requires.You'll learn:[0:00] Introduction[7:56] Why none of Cal's success came to save him when it counted[18:28] How a plant medicine glimpse fades without integration, and why habits snap back[24:07] Net worth as a replacement for self-worth, and the 30-year accumulation trap[33:39] Why $100 million three years ago would've landed him in the same pickle[42:34] The currency of relationships and spotting transactional energy in the room[1:17:59] Selling the float tank, unfollowing 1,500 people, and the lightness of purging[1:27:55] Why open-mindedness means letting old information out, not just new in[1:44:21] Brandy Gilmore, the cops, and discovering a belief he didn't know was closed[1:56:29] Resume virtues vs. eulogy virtues and the dark night that leads to liberation[2:02:40] Boyd Varty, Adyashanti, and Ram Dass as the teachers who shaped himResources Mentioned:Ian Carroll on America's Deadliest Mass Shooting and Unanswered Questions They Don't Want You to Ask | YouTubeThe Great Unlearn 199. Hapa Lomi: A 10-Hour Deep Reset with Kyle Coursey and Luke Storey | PodcastThe Great Unlearn 202. Emotional Mastery: From Understanding to Embodiment with David Sutcliffe | PodcastThe Great Unlearn 66. Trusting the Orchestration of Our Life Luke Storey | Luke Storey | PodcastThe Great Unlearn 113. Transforming the Nice Guy Persona, Embracing Boundaries and Living in a Meditative State | with Luke Storey | PodcastThe Great Unlearn 151. Luke Storey | Aligning with the Rhythms of Your Creative Process | PodcastRead: The Lion Tracker's Guide To Life: A Transformative Guide to Finding your Purpose by Boyd Varty | BookMartha Beck | WebsiteAdyashanti | WebsiteRam Dass | WebsiteFull show notes at lukestorey.com/calRelated The Life Stylist Episodes:Mysticism and Music: The Esoteric Healing Journey of Doyle Bramhall II | PodcastThis Frog's Skin Secretion Can Heal You: Kambo | Caitlin Thompson | PodcastThis Man Can Reset Your Life in One Day w/ Kyle Coursey | PodcastSacred Currency: Bridging Frequency, Flow, and Financial Power w/ Elizabeth Ralph | PodcastPaul Chek: Living as God's Mirror & Finding Divinity Through Duality on Earth & Beyond | PodcastMarianne Williamson: Why Miracles Are Our Birthright & Love Is Our Highest Purpose | PodcastThe Secrets to Healing Your Body Through Your Mind with Brandy Gillmore | PodcastThe War Is Over: Making Peace With Your Mind | PodcastBad Trips and Psychic Flips: Round and Round in the Medicine Wheel w/ Kyle Kingsbury | Podcast5-MeO-DMT Integration Session: Bufo Alvarius Toad Medicine w/ Aubrey Marcus | PodcastFind more from Cal:The Great Unlearn |

Modern work can be frustrating and chaotic—if you don't have the right tools. From context engineering to multimodal search, go behind the scenes and hear how Dropbox engineers are building AI that actually understands you, so you can focus on the work that matters most. If you're new to Working Smarter, we've travelled from the F1 track to the bottom of a lake, and heard real stories from chefs, doctors, lawyers, and founders about how AI is helping them do more of what they love about their jobs. But in our third season, we're talking to the people behind the tools—the engineers and product leaders building helpful, time-saving AI features into the Dropbox experience you already know and trust. You'll hear all about their work on agents, inference, security, and, of course, how the people building AI use AI themselves. ~ ~ ~  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 people think Lean is a manufacturing methodology. Sneha Kumari lives it as a mindset.Sneha is back on Learnings & Missteps. She's the president of Merlin AI and one of the most recognized women in manufacturing; and this conversation gets into the stuff that actually moves the needle.Jesse and Sneha dig into why Lean isn't just a process tool, it's a way of thinking about simplicity, eliminating waste, and respecting people's time. That includes your team, your clients, and yes, even your kids. When you build systems — whether that's automation, AI, or a morning routine — the goal is the same: remove time as a bottleneck.They also break down how tight feedback loops change the game. Not chasing every outlier. Spotting patterns. Doing real root-cause analysis. Using an impact-versus-effort matrix to make smarter decisions faster.Sneha gets honest about what she's learned since launching Merlin AI, resilience, leading a remote global team, and how to maintain urgency without blowing up quality, safety, or delivery.And she explains what Merlin AI is actually solving: the fragmented, unpredictable mess that construction workflows still are. Orchestration and operational intelligence — predicting problems before they happen, making execution more scalable and repeatable.If you're leading people, building systems, or trying to figure out where AI actually fits in your operation, this one's for you.00:00 Feedback Loops Mindset00:14 Meet Sneha Kamari02:41 Why Lean Matters07:51 Respecting Time12:18 AI Systems Design15:27 Merlin AI Founder Lessons20:19 Mistakes And Learning22:01 Tight Feedback Loops26:42 Patterns And Priorities30:27 Orchestration Explained32:59 Operational IntelligenceGet the time management system that will make you dangerously effective: https://www.depthbuilder.com/time-management-webinar-sign-up-pageSubscribe to the Monday Morning Hugs Newsletter for thought provoking topics to accelerate your growth: LinkedIn Newsletter  Download the free PDF copy of Becoming the Promise You are Intended to Be 

Tall Black Guy brings the Detroit soul. Benjamin Wright — the legendary arranger behind Off The Wall — shares raw memories of Michael Jackson, Quincy Jones, and why the new Michael movie moved him to tears. Music, legacy, and voting rights in 2026 collide in one fully loaded conversation.Also featuring DIZZIATIC NATION -PSYCHOTIC BUMP SCHOOL's AFTER-SCHOOL PROGRAM featuring Civil Rights Attorney JORA TRANG and Community Organizer ORAIU IMANI.Tall Black Guy: https://tallblackguyproductions.com/https://tallblackguy.bandcamp.com/album/expansionsBenjamin Wright: https://www.thehistorymakers.org/biography/benjamin-wright-41

In this podcast Michael Stiefel spoke to Baruch Sadogursky about software architecture in the age of agentic AI. Large Language Models can function, albeit stochastically, as reasoning machines capable of interpreting human ambiguity. With the appropriate rigorous context artifacts to control the LLM's reasoning, software specifications can become the source of truth, while the code becomes a disposable intermediate language. These context artifacts are managed through an engineering discipline, context engineering. Unlike prompt engineering which Sadogursky likened to “voodoo incantations”, context engineering utilizes artifacts such as skills, rules, scripts, feedback, and rigorous evaluation to provide the models with clear intent on what code to write. AI Agents will ask clarifying questions to the architects and clients until the requirements are fully understood. This allows a massive “shift left” to evaluate code quality before it is even written. Testing now validates the accuracy of the specifications. Humans are still responsible for determining the correctness of the requirements by providing the proper context, and validating the final results. Since changes over the course of time will occur, resulting in the regeneration of the code from the specifications, microservices is the best architectural paradigm to use given the current limitations on context windows for LLMs. Orchestration of the services is then done by a human architect to create the application. The architect is also responsible for managing the emergent properties of the system. Read a transcript of this interview: https://bit.ly/48YWu2n Newsletter: Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter InfoQ online certification cohorts: Online cohorts for senior engineers and architects, built around QCon talks. Join a 5-week confidential peer group to validate your approach and apply practitioner frameworks to the technical challenges you face at work. Learn more: https://certification.qconferences.com/ Upcoming Events: QCon AI Boston 2026 (June 1-2, 2026) Learn how real teams are accelerating the entire software lifecycle with AI. https://boston.qcon.ai QCon San Francisco 2026 (November 16-20, 2026) https://qconsf.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of practitioners. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

At Google Cloud Next in Las Vegas, I sat down with Granville Valentine to talk about one of the biggest shifts happening in business technology right now, the move from isolated AI experiments to orchestrated, production-scale agentic systems. Granville leads Google Cloud's AI Go-to-Market organization across North America, working directly with major enterprises on adopting Gemini, customer experience AI, and multi-agent workflows. That puts him right at the center of how businesses are actually deploying AI in the real world, and where many are still getting stuck. In this conversation, we explore why so many companies discovered in 2025 that standalone chatbots were failing to deliver measurable ROI, and how orchestration-based AI systems are changing that. Granville explains why the future belongs to multi-agent workflows built around business outcomes rather than technology demos, with different agents collaborating around customer experience, commerce, upselling, support, and personalization. We also discuss the rise of proactive "digital concierges" that unify search, commerce, maps, personalization, and customer service into a single intelligent journey rather than the fragmented app experiences consumers are used to today. Granville shares practical examples from companies like The Home Depot and explains how businesses are using Gemini Enterprise for Customer Experience to create more natural and effective customer interactions. Another major theme in this episode is data. We explore how cross-cloud connectivity and universal context engines are helping organizations query data across multiple cloud environments without moving everything into a single platform first, dramatically reducing friction for companies trying to build agentic workforces. The conversation also touches on generative media, from video and image creation to interactive shopping experiences, and how businesses are using these tools to drive real engagement, customer retention, and revenue growth rather than simply producing flashy content. Most importantly, this episode cuts through the hype and focuses on execution. Granville explains why businesses need to stop thinking about AI as a standalone feature and start thinking about it as an operating model built around outcomes, experimentation, and continuous learning. Are businesses finally ready to move from AI experimentation to the agentic enterprise? Please check the partners of the Tech Tech Talks Network Learn more about the NordLayer Browser Visit Denodo.com

The Joan Barry Scandal and FBI OrchestrationChaplin's life took a tragic turn during a volatile relationship with an aspiring actress named Joan Barry, who once held him at gunpoint. Barry later claimed Chaplin was the father of her child, leading to a high-profile paternity suit and a Mann Act indictment for transporting her across state lines. Although blood tests definitively proved Chaplin was not the biological father, a California jury ruled against him, forcing him to pay 18 years of child support. Barry eventually claimed the FBI had fomented the case to destroy Chaplin's reputation, a campaign fueled by hostile gossip columnists like Hedda Hopper. Guest: Scott Eyman. (4/8)1908 LA

On episode 154, we began a discussion on orchestration for the woodwinds section and it's instruments: the flute, the oboe, the clarinet, the saxophone and the bassoon. We will now continue this discussion with a focus on suggested ratios for arrangement, ranges and more detail on the instruments themselves!