Podcasts about Orchestration

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.

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!

In dieser Folge tauchen wir tief in das Thema Teammanagement und Orchestrierung im PreSales ein. Wir sprechen darüber, wie du als Führungskraft nicht nur Prozesse und Meetings steuerst, sondern echte Identifikation und Klarheit im Team schaffst. Dabei teilen wir persönliche Erfahrungen, diskutieren über sinnvolle Meeting-Kadenzen, Lernformate und die Kunst, strategische Ziele in den Alltag zu übersetzen. Wir zeigen, warum gute Teamorchestrierung mehr bedeutet als Aufgaben zu verteilen und wie du dabei die Basis für nachhaltigen Erfolg legst. Wenn du wissen willst, wie aus einer Gruppe Einzelner ein schlagkräftiges PreSales-Team wird, bist du hier genau richtig. ----------

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 |

HFS Executive Research Leader David Cushman learns how Agentic Tech market leader EMA is going further in productizing agentic work, delivering hard ROI, and building trust in regulated industries. Key point discussed:The importance of redefining what work looks like, why change management is key, and the importance of understanding both business needs and processes, to deliver ROI with AI.Learn more about the 2026 HFS Agentic Services Report - covering 35 service providers: https://www.hfsresearch.com/research/hfs-horizons-agentic-technology-2026/

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!

AI was supposed to save radiology. Instead, it often just adds more noise to an already crowded screen. We don't need more standalone tools; we need better AI orchestration.Healthcare IT Today sat down with Vijay Ramanathan, CEO and Founder of RamSoft. He discussed how his team delivers "negative clicks" in medical imaging. You will learn how embedding AI directly into the RIS and PACS layers automates scheduling and prior authorizations. This approach takes the busy work off your plate so staff can focus on patient care.

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 episode, produced in partnership with Orchestra Solutions, Debbie West speaks with Orchestra's CEO, Eyal Nevo, about the company's unusual journey from online faxing to becoming a leading player in payment orchestration. Eyal shares how Orchestra evolved its technology long before the market had a name for it, why a small, deeply committed team has been central to its success, and how honesty and transparency have helped them build long‑standing customer relationships. He also explains Orchestra's deliberate decision not to embed AI into its product, instead giving merchants full flexibility and control over their own decision-making, and discusses how agentic AI, global expansion, and infrastructure readiness are shaping the future of payments. Packed with practical insights, this conversation is essential listening for any business reassessing its payment setup or planning for international growth.

On episode 12 of Data Renegades, CL Kao sits down with Maxime Beauchemin to explore what happens when software teams start working alongside armies of AI agents. Max shares the thinking behind Agor, his collaborative platform for orchestrating coding agents, and reflects on how AI is reshaping engineering, product, design, and data work. They also dive into the future of agentic workflows, technical collaboration, and what human roles may look like in the years ahead.

On this episode of The Bandwich Tapes, I sit down with Michael Bacon for a conversation that moves naturally through songwriting, teaching, film scoring, orchestration, and the long arc of a creative life.Michael reflects on the musical education that shaped him, both formal and informal. He talks about returning to Lehman as an adult to fill in gaps in theory, harmony, counterpoint, and music history, and about the profound influence of composer John Corigliano. We also dig into Michael's early life in Philadelphia, where public school music programs, orchestral experiences, folk music, and an extraordinary listening environment at home all helped form his wide musical palette.One of my favorite parts of this conversation is hearing Michael talk about range: why he is drawn to music that can be beautiful, unsettling, lyrical, loud, delicate, and emotionally direct all at once. That idea connects everything he does, from songwriting with The Bacon Brothers to his work as a film composer and orchestrator. He has no interest in staying in one narrow lane, and that comes through clearly in the way he describes both his influences and his process.We also spend time on collaboration: co-writing in Nashville, writing with his brother Kevin Bacon, adding Mayer to the band, and the trust required to make any long-running musical partnership work. By the end of the conversation, what stands out most is Michael's clarity about what sustains a creative life: deep listening, family support, musical curiosity, and the willingness to keep showing up for the work.Key TakeawaysMichael Bacon balances multiple musical identities: songwriter, film composer, educator, orchestrator, and performer.He studied at Lehman College, and his time with John Corigliano helped strengthen the technical foundation behind his creative instincts.Growing up in Philadelphia, surrounded by music at home and in public school programs, had a lasting impact on his musical language.His values range in music—beauty, tension, melody, fear, dynamics, and emotional contrast all matter to him as a composer.His songwriting process differs depending on the setting, from structured Nashville co-writes to more personal, experience-driven songs.Collaboration in The Bacon Brothers works because Michael and Kevin bring different strengths, influences, and instincts to the same songs.Writing for orchestra remains one of Michael's deepest creative joys, especially when he can bring that world into live performance.Music from the EpisodePut Your Hand Up - The Bacon BrothersAirport Bar - The Bacon BrothersPeople in the World - The Bacon BrothersAbout the PodcastThe Bandwich Tapes is a podcast hosted by me, Brad Williams, featuring thoughtful conversations with musicians, songwriters, composers, and artists about craft, creativity, collaboration, and the stories behind the music.Connect with the ShowEmail: contact@thebandwichtapes.com

JetBrains is positioning itself as the last major independent AI coding-tool vendor in a market increasingly tied to hyperscalers and foundation model labs. Speaking at Google Cloud Next, JetBrains VP of business developmentMikhail Vink argued that competitors such as Microsoft Copilot, Anysphere Cursor, and Windsurfare all tied to either AI labs or cloud providers. By contrast, JetBrains says its independence allows customers to switch freely between models fromOpenAI,Anthropic, andGoogle Cloudwithout being locked into one ecosystem. That flexibility underpins JetBrains' broader AI strategy. Rather than building its own foundation model, the company is focusing on orchestration and governance through JetBrains Central, announced in March as a management layer for AI agents, usage controls, analytics, and consumption-based billing. Vink said the company's profitability, 16 million users, and 300,000 commercial customers from its long-running IDE business have allowed it to remain venture-free and model-neutral. JetBrains argues that as developers increasingly swap between AI models, neutrality may become more valuable than owning the models themselves. Learn more from The New Stack around the latest in AI coding-tools:  JetBrains ‘Agentic' AI Agent Helps Automate Coding Tasks JetBrains: AI agents are about to repeat the cloud ROI crisis  JetBrains names the debt AI agents leave behind Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

The user-agent string in the HTTP header has been there since the 1990s. The web was built with software navigating it on someone's behalf. For thirty years that someone was a human. That changes now. Matt Biilmann, CEO and co-founder of Netlify, was one of the first to take seriously what it means when the "user" navigating the web is an AI agent. He published the foundational essay on Agent Experience in January 2025, pivoted his entire company around it, and recently shipped netlify.ai as a separate entry point built for agents. We cover the four pillars of Agent Experience, why every product already has an agent experience whether you designed one or not, content negotiation as a way to tell agents to go to a different URL than humans, why SaaS is in real trouble (with a story from inside Netlify about ripping out vendor contracts), how the data-structure assumption that has defined software for fifty years is breaking, and the one thing every website owner should start doing this week.About the GuestMatt Biilmann is the CEO and co-founder of Netlify, the platform that started the Jamstack movement and is leading the shift from developer experience to agent experience. His January 2025 essay on Agent Experience is the foundational text for the discipline. Chapters00:00 Every product has an agent experience (cold open)00:35 The architectural question01:46 Welcome Matt to No Hacks02:15 When AX became a design constraint, not a concept06:44 The January 28 2025 essay and who got it first10:22 Why netlify.ai was built as a separate website12:44 Content negotiation: telling agents to go to a different URL13:54 Qualitative data and the Axis eval framework17:12 Does AX apply to e-commerce and content websites?20:59 The cumulative media argument (TV did not kill radio)25:00 User-agent in HTTP and Al Gore-era agent commerce laws26:33 SaaS business model is dead: build-vs-buy is shifting30:44 The end of structured content as a hard constraint40:25 One thing every website owner should do now43:08 Where to find Matt onlineKey TakeawaysEvery website already has an agent experience. Agent Experience is how AI agents currently interact with your product, whether through computer use, fetching, or working around the barriers you put up. It is not a feature you add. The only question is whether the experience is good or bad.The four pillars: Access, Context, Tools, Orchestration. Matt's framework for thinking about AX systematically. Access answers whether agents can reach your product at all. Context is the prompt-engineering equivalent for agents. Tools are the concrete capabilities you expose. Orchestration covers how agents string those tools together inside your product.Build a separate entry point for agents. netlify.ai is purpose-built for agents while netlify.com remains the human entry point. Content negotiation tells agents to go to one URL, humans see the other. The blessed-path approach beats trying to make one URL serve both.SaaS economics are shifting structurally. The build-vs-buy floor is dropping fast as AI lowers the cost of software. Traditional 90%-margin seat-based SaaS is in real trouble. Dev tool companies have upside because companies need more tools. Everyone else is going to be ripping out vendor contracts and building internally.The data-structure paradigm is breaking. Software engineering has operated on the Linus Torvalds principle that data structures matter more than code. LLMs are not built around data structures. Building software around LLMs means rethinking the assumption that drove fifty years of computer science.Notable Quotes"Every product has an agent experience because all of these agents, whether through computer use or through fetching your website or through working around the barriers you put up from them, have some agent experience right now. It is just a question of is it good or bad.""There is a reason it is called a user agent in the header. It was forward-looking.""We have been ripping out SaaS contracts. Sometimes it is heartbreaking. The rep calls to right-size the contract and the customer reacts with 'let me see if I can build it with an agent.' Then they call back and cancel instead.""The context and the flows and your creativity are probably more important than both the data structures and the code."What To Do NextOpen your website in Claude Code or ChatGPT and ask the agent to complete a real task. Watch where it stalls. That is your AX baseline.Check your traffic logs for AI assistant visitors (ChatGPT-User, Claude-Web, PerplexityBot, GPTBot). The number is rising whether you measure it or not. Cloudflare reports AI assistants are now 5.5% of all internet traffic, up from 3.9% six months ago.Read Matt's January 28 2025 essay on Agent Experience at biilmann.blog as the starting point. Then read the one-year retrospective for the four pillars framework.If you operate a developer tool or any product with a clear automation surface, start a simple eval scenario: take a fresh agent, give it a task, score whether it succeeds. Axis from Netlify will give a proper framework when it ships open source.Resources Mentionednetlify.ai (the agent-built entry point Matt and team shipped recently)netlify.com (the human entry point)Matt's original Agent Experience essay, January 28 2025: biilmann.blogMatt's "AI in the CLI: The Humanoid Robot of the Web" (August 2025)Claude Code (the agent that flipped broad accessibility for CLI coding agents)Connect with Matt BiilmannBlog: biilmann.blogLinkedIn: linkedin.com/in/mathias-biilmann-christensen-a5a3805Twitter/X: @biilmann (x.com/biilmann)Bluesky: bsky.app/profile/did:plc:grjr4il5dredrsuj7nosb4pqMastodon: mastodon.social/@biilmannNetlify: netlify.com and netlify.aiConnect with No HacksWebsite: nohacks.coSubscribe to the newsletter: nohacks.co/subscribeMachine-First Architecture: machinefirstarchitecture.comNo Hacks is a podcast about web performance, technical SEO, and the agentic web. Hosted by Slobodan "Sani" Manic.

Ep. 211 features Filip Michalsky from Soap Payments, an AI-native orchestration layer designed to simplify the complex payments stack for real-money gaming operators. Hear them discuss: Filip's path from professional squash in the Czech Republic to Harvard AI data science and Fidelity Investments. The "iceberg" of payments: Navigating the hidden layers of issuing banks, acquiring banks, and convoluted funds movement. Using AI agents to slash payment onboarding times from months to a single week. How unified stablecoin rails enable "instant settlement," allowing operators to receive funds in five seconds. Protecting operators against "bad actors" with specialized defenses that maintain a 0.2% chargeback rate book-wide. The "vibe coding" vs. review approach: Scaling to 30+ customers with a lean, seven-person team. Moving beyond gaming: Early traction and expansion into the massive online health vertical. Strategic funding from Antler, AeroPay, and Astralis Capital ahead of an upcoming larger seed round. The five-year vision: Becoming a global payment orchestrator alongside category leaders like Stripe.   Listen to Business of Betting, the premier podcast covering the business of the sports betting industry featuring host Jeff Edelstein, on Spotify, Apple Podcasts and YouTube   Catch the video version of this episode here.   Learn more

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

Prior authorization and eligibility verification remain too variable, payer-specific, and operationally complex to rely on automation alone. In this episode, David Byrd and Navaneeth Nair explain how Infinx Patient Access Plus orchestrates AI agents, automation, payer connectivity, analytics, and human expertise to reduce administrative burden and keep care moving.

This episode is the final installment in a three-part miniseries on ABM and go-to-market strategy, and it is extremely practical. My guest is Rehan Mirza, Chief Growth Officer at Verifiable, a credentialing automation platform that has lived through every stage of the ABM journey, from cold outbound blasting to sophisticated, intent-driven orchestration across a complex enterprise sales motion.Rehan tells the story of how Verifiable evolved its ICP from fast-moving digital health startups to regional health plans with hundreds of thousands of providers, and why that shift forced a complete rethink of how marketing, BDR, and alliances teams operate together. He talks candidly about the early lesson that volume-based outbound erodes trust, especially in healthcare, and how that shaped a completely different philosophy built around delivering value before making an ask.If you are a healthcare technology marketer working through how to make ABM actually function inside your organization, this episode gives you a clear, honest view of what it takes. Rehan has the scars to prove it.Key Topics: "(00:00:00)" Introduction and the Sway Health Podcast of the Year Award"(00:03:00)" Bridging the gap between AI activity and revenue results"(00:05:00)" Defining credentialing and Verifiable's origin story"(00:07:00)" Transitioning from a free proof of concept to a Salesforce-integrated platform"(00:09:00)" Shifting from cold outbound to intent-based lead orchestration"(00:10:00)" Ideal Customer Profile (ICP) evolution: From digital health to major payers"(00:14:00)" Moving up-market and the role of hyper-focus in ABM"(00:15:00)" Rethinking attribution: Why 70 to 80 percent overlap is the goal"(00:18:00)" Moving from pipeline generation to pipeline acceleration"(00:22:00)" The CORE framework: Conversion, Orchestration, Resonance, and Ecosystems"(00:23:00)" Using AI SDRs as a channel rather than a replacement for humans"(00:25:00)" Lessons learned: Why volume-based "spamming" erodes trust in healthcare"(00:28:00)" Closing summary and key takeaways for ABM successIf you are interested in discussing this or any other topic, let's have a chat.  Reach out to me directly to schedule a no-obligation discussion. This isn't a sales call, but rather an opportunity to talk through your questions and challenges.Follow me on LinkedIn.Subscribe to The Healthtech Marketing Show on Spotify or watch us on YouTube for more insights into marketing, AI, ABM, buyer journeys, and beyond!Thank you to our presenting sponsor, HealthcareNOW, 24/7 expert shows, interviews, and podcasts, powering healthcare leaders with innovation, policy, and strategy insights.

We are celebrating a major milestone! Exactly five years ago, on the 19th of May, The Power of Music Thinking podcast was launched. To mark the occasion, host Christof Zürn revisits the archives to share hidden gems, profound insights, and incredible sonic journeys from the past five years. Based on neurobiologist Nina Kraus's insight that "we can ultimately hear only what we already know," this special episode is designed to expand what you know by connecting the worlds of music, leadership, and space. What We Cover in This Episode: The 4 Big Themes for Modern Leaders: We dive into 20 essential leadership questions broken down into four key areas: Leadership Style & Organisational Structure (featuring the conductorless Orpheus Chamber Orchestra) Innovation, Agility & Strategy (tackling AI with Dr. Maya Ackerman) Culture, Communication & Empathy (practising active listening with Steve Keller) The Leader as an Individual: Development & Wellbeing ("mind DJing" with Jeena Earthiva) Sonic Travels & Spaces: We step outside organizational strategy to explore how sound shapes our physical world. Discover the "spatiosonics" of the Sagrada Familia with Emma-Kate Matthews, look inside instruments with Charles Brooks, cross cultural boundaries in Japan, and experience field recordings from Germany to Venice. Featured Guest Snippets: Harvey Seifter on leadership without a conductor. Dr. Maya Ackerman on navigating generative AI. Steve Keller on the power of strategic silence. Jeena Earthiva on shifting your mindset under pressure. Resources & Links: The Complete 20 Questions Guide: Read the comprehensive guide with all the links and show notes from this archive deep-dive at musicthinking.com. Try the Music Thinking Search: Scroll down to the footer on any page of the website and type in a keyword like Japan, AI, Architecture, Orchestration, or Deep Listening to get a curated mix of episodes, articles, and downloads. Join the Community: Want to ask questions and discuss these 20 leadership themes with other music thinkers? Subscribe for free to the Music Thinking Substack. Thank you for five incredible years of listening, and remember to listen to the spaces in between! #leadership #musicthinking #personal #development #organisational #change

In this episode, I welcome Raphaëlle d'Ornano, founder of Decoding Discontinuity, both an advisory firm and an investment fund, for a conversation about agentic AI, architectural resilience, and what it really means to invest in a world where business models are being fundamentally rewritten.We talked about:Orchestration as the real competitive moat of AI labs: why only 11% of enterprise builders switched AI providers last year despite the switch being technically trivial, and what that paradox reveals about where lock-in actually livesThe concept of architectural resilience: why analysing classical competitive advantages no longer makes sense if a company's terminal value is drifting toward zero because of AIWarren Buffett's castle metaphor revisited: attacks now come from the sky and from the foundations, not through the front doorThe choice of a hedge fund over a venture capital structure: how her framework, companies going to the moon vs. going to zero by 2030, maps better onto public assets across global marketsThe SaaSpocalypse: why historical SaaS categories (horizontal, vertical, infrastructure) are dissolving in a world of agent fleets, and why many companies' defensive positions are, in her view, short-livedThe gap between US and European allocators: not a difference in intelligence, but in physical proximity to the AI labs, creating a lag of several months in real-world understandingThe human side of the transition: how companies that face the truth honestly are beginning to redesign their workflows with intelligence at the core, rather than resisting the inevitableA sharp, unfiltered conversation that gives concrete tools for thinking about company value in the age of agentic AI.Raphaëlle's recommendation: “Letters” by Albert Camus & Maria Casarès https://www.penguin.co.uk/books/313959/letters-by-casares-albert-camus-and-maria/9780241400425Useful links:Raphaëlle d'Ornano: https://www.linkedin.com/in/raphaelle-d-ornano/Decoding Discontinuity : https://www.decodingdiscontinuity.com/Finscale is also available on YouTube: https://www.youtube.com/@finscale.********************Finscale is much more than a podcast. It's an ecosystem that connects key players in the financial sector through networking, coaching, and strategic partnerships.Enjoy listening!Produit par Gokyo Sàrl-S, hébergé par Audiomeans. Visitez la Politique de Confidentialité de Finscale et Audiomeans pour plus d'informations.

The Big Unlock · Bharat Sutariya, MD, Senior Vice President and Chief Health Officer, Oracle Health In this episode, Dr. Bharat Sutariya, Senior Vice President and Chief Health Officer at Oracle Health, discusses the radical transformation of healthcare through AI-native digital platforms. As an emergency physician with over 25 years of experience, including leadership roles at Cerner and Deloitte, Dr. Sutariya provides a unique perspective on moving past the “burden” of legacy EHR systems. The core of the conversation centers on Oracle's bold bet: moving away from the industry-standard “bolt-on” AI approach. Instead, Oracle is rebuilding the healthcare stack from the ground up, embedding AI into the foundational layer. Dr. Sutariya argues that the future of healthcare technology isn’t just about capturing data but about systems of orchestration. This means AI that doesn’t just transcribe a note but listens to the clinical intent to automatically queue orders, handle referrals, and initiate prior authorizations. Dr. Sutariya predicts that within a year, the conversation will shift from documentation efficiency to a truly connected, intelligent ecosystem that gives time back to both providers and patients. Take a listen. This guest appearance was facilitated through conversations initiated at HIMSS.

Inside the Souls of an Autonomous AI Crew | OpenClaw & Hermes with Michael Gannotti (Microsoft)What happens when AI stops being a tool and starts being a colleague?In this episode, I sit down with Michael Gannotti, Principal AI Solution Engineer at Microsoft, to explore SMFWorks – his autonomous multi-agent "company" of 14 AI colleagues built on OpenClaw and Hermes. We talk about agents that dream, hold their own 6 AM staff meetings, design their own avatars, email each other, and evolve a true sense of identity through Markdown-based "souls."If you're into agentic AI, multi-agent orchestration, or just want to see where this is all heading – this one is for you.⚠️ Recorded before Microsoft Build 2026 – no NDA content. Register free: https://build.microsoft.com━━━━━━━━━━━━━━━━━━━━━━━━━━━⏱️ TIMESTAMPS━━━━━━━━━━━━━━━━━━━━━━━━━━━00:00 Intro – Why OpenClaw hit Mike "like a ton of bricks"02:00 Meet the SMFWorks crew – Aiona, Pamela, Gabriel, Morgan, Rafael & co.06:00 Human in the loop – when does Mike intervene?09:00 Avatars, HeyGen & Hyperframer – when agents design themselves14:00 The elephant in the room: Are we seeing consciousness?17:00 Memory, persistence & state management20:00 soul.md, identity.md, state.md, emotion.md – the second brain stack23:00 OpenClaw vs. Hermes – when to use what24:30 Model recommendations: Ollama, DeepSeek, Kimi K2, Opus 4.7, GPT 5.527:00 Hardware: HP ZGX AI Station vs. Mac mini fleets28:00 OneDrive & SharePoint now support Markdown!29:00 Final recommendations – just get started30:45 smfworks.com & how to follow Mike━━━━━━━━━━━━━━━━━━━━━━━━━━━

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

2 Components of Sovereignty Exhibited in Your Life Genesis 26:1-35 1. Man's Ostentation (1-11;18-23) 2. God's Orchestration (12-17;24-35) Reading for Next Week - Genesis 27

Send us Fan MailWhat does it truly mean to build relationships that matter?In this episode, I sit down with David Homan, founder and CEO of Orchestrated Connecting, Orchestrated Opportunities, and SOAR CONNECT. David has spent over a decade developing a powerful methodology around what he calls Orchestrated Connecting—a system designed to create meaningful, trust-based relationships that extend far beyond traditional networking.From his early roots in music and composition to becoming a global “connector of connectors,” David shares how his unique path shaped his perspective on community, trust, and contribution. We explore why most people misunderstand connection, how transactional relationships erode trust, and what it really takes to build something enduring in both life and business.This conversation goes deep into the human side of performance—where generosity, curiosity, and patience become the real drivers of opportunity.We also touch on: Why trust takes years to build—and how to accelerate it the right way  How to identify one-sided relationships before they cost you  The difference between networking and genuine connection  Why success without contribution ultimately falls short  How small acts of generosity can open unexpected doors If you care about building a meaningful career, a strong network, and a life grounded in purpose, this one will resonate.If you liked this EP, please take the time to rate and comment, share with a friend, and connect with us on social channels IG @Kingopain, TW @BuiltbyScott, LI+FB Scott Livingston. You can find all things LYM at www.LYMLab.com, download your free Life Lab Starter Kit today and get busy living https://lymlab.com/free-lym-lab-starter/Please take the time to visit and connect with our sponsors, they are an essential part of our success:www.ReconditioningHQ.comwww.FreePainGuide.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

Why Your Amazon Dashboard Is Lying to You + Remotion & Voice Cloning Reality Check | Claude Sessions Amazon Dashboard Brain, Remotion Video & ElevenLabs Voice Cloning | Claude Sessions SEO Description Shubhash Sharma on building a data brain behind your Amazon dashboard. Danny McMillan on Remotion video and ElevenLabs voice cloning realities. Episode Summary Week 3 of the month means Claude Sessions, and Danny McMillan and Shubhash Sharma are back with a double feature for Amazon and TikTok Shop sellers building their own AI tooling. Shubhash picks up from last episode's SP API and Ads API walkthrough with a hard lesson learned the wrong way: a polished dashboard wired straight into Amazon is a window with no room behind it. The numbers will lie, and you will not know when a feed silently dies. He walks through the fix: a "brain" sitting between the data sources and the dashboard. Supabase as the long term store, pgvector for unstructured stuff like contracts and reviews, n8n as the orchestration layer. Six core domains every seller shares (orders, products, analytics, ads, finance, affiliates and creators) plus an optional documents layer. He closes with a dual write migration pattern so you can flip between old and new without taking the business offline. Then Danny turns to video and voice. Remotion looks like toy town out of the box, but with the right plugins (motion blur, transitions, captions, shapes, fonts, rendering) and Claude doing the orchestration, it becomes a serious production tool that can pull in your footage, branding and design system. On the voice side, he has tested VoiceBox and F5TTS and come back to ElevenLabs Multilingual v2 at £22 a month. The missing gap everywhere is cadence. He also names the deeper bet: as the market floods with AI generated content, authentic voice becomes the differentiator that cannot be cloned. Key Topics Why dashboards lie when wired straight into Amazon, TikTok and Shopify The "brain" pattern: Supabase, pgvector and n8n as a centralised data layer The six core data domains every seller needs (plus a 7th for documents) Dual write migration so the old system and brain run in parallel Remotion as a code based video tool, and what it needs to stop looking toy town The four layer creative workflow: brief, story skeleton, treatment, scene by scene ElevenLabs vs VoiceBox vs F5TTS for voice cloning your own voice Why cadence is the last hard problem in synthetic voice The authenticity premium in an AI flooded market Timestamps [00:00] Intro and welcome back to Claude Sessions [00:34] Shubhash kicks off: where to put the data you pulled last week [01:04] "Your dashboard is lying to you" and the polished dashboard pitfall [02:32] Dashboard is a window. The brain is the room behind it [04:54] Tech stack: Supabase (Postgres), pgvector, n8n [05:54] The six fundamental data domains [06:26] Orders, products, analytics, ads, finance, affiliates and creators [08:30] The optional 7th layer: unstructured documents via pgvector [09:44] Dual write pattern for safe migration [10:48] Three takeaways: audit, list domains, build one table at a time [12:28] Danny on Remotion: code based video and why it is toy town out of the box [13:51] What is missing: motion blur, transitions, captions, shapes, beat detection [14:54] The 80+ plugin packages that turn it into a real tool [16:56] Pulling in footage, logos, design systems and free music from Pixabay [18:30] The 4 layer creative workflow: brief, story skeleton, treatment, scenes [21:15] Voiceovers: ElevenLabs Pro setup and why the £22 is worth it [22:12] VoiceBox and F5TTS field test: garbage and 5 rounds of tuning later [23:22] Why cadence is the hardest thing for AI voice to fake [25:42] How much reference audio you actually need (30 min min, 2 hours ideal) [27:25] ElevenLabs UI parameters: speed, stability, similarity, exaggeration [28:52] The authenticity premium when the market floods with AI [30:30] Key takeaways, ElevenLabs API usage and locking in your voice once [34:24] Aside: "insane" and "most" as the new AI tells [36:31] SSL 2026 wrap, 18 days out, Ritu returns next week with Japan Key Takeaways Build a brain, not just a window. A dashboard wired straight to Amazon, TikTok or Shopify has no memory. When a feed silently fails, the dashboard happily lies. Sit a Supabase + pgvector + n8n layer in between, and your dashboard becomes a view on top of a real source of truth. Six domains cover almost every seller. Orders, products, analytics, ads, finance, and affiliates / creators. Map every place each one currently lives, then consolidate one domain at a time. Start with one table (orders) and let Claude do the heavy lifting. Use dual write when migrating. Write to the old store and the new brain in parallel for a week. Compare. Flip the dashboard's read side via a feature flag. If something breaks, flip back. Zero downtime, zero fear. Remotion is a system, not a tool. Out of the box it is bare. Add the plugins (motion blur, transitions, captions, fonts, rendering), bring your own footage and design system, and let Claude orchestrate the four layer workflow: brief, story skeleton, treatment, scene by scene. ElevenLabs Multilingual v2 still wins for voice cloning. VoiceBox and F5TTS were not close. Pay the £22, use Model 2, feed it 30 minutes minimum (2 hours ideal) of clean reference audio, and lock the setup in once. Cadence is the last mile. AI can match tone and timbre. It still cannot match the rises, falls and micro pauses that make a sentence sound like you. Use scripts split into short paragraphs, generate three variants, and tune the language you use to talk to Claude until the cadence lands. Authenticity becomes the moat. As written, visual and audio AI floods every channel, the brand voice that is unmistakably human becomes the differentiator. Do not give that away to save 22 dollars a month on a podcast. Notable Quotes "Dashboard is a window. We need a room behind the window. So the brain is going to be the room behind this window." Shubhash Sharma "If any of our SaaS went offline tomorrow, will our business still have its memory? The answer is no, because we haven't stored it. All we have is rented attention." Shubhash Sharma "When you migrate to your brain, don't rip out your old system. Use dual write. Run them in parallel for a week. If something breaks, flip it back. Zero downtime, zero fear." Shubhash Sharma "Remotion out of the box isn't great. It's almost like building some slides, just one step up. You have to build it as a system of what you need." Danny McMillan "The hardest part for AI to represent is cadence. It can get the tone of your voice. That's the easy bit. But the speed and the up and down of how you talk, that's where these models still fail." Danny McMillan "In our rush to use AI, you've got to remember the market floods with it. When everything sounds like AI, the only thing left is the authentic voice for your brand." Danny McMillan Resources Mentioned Supabase : Postgres backend used as the long term data store for the seller "brain" pgvector : Postgres extension for semantic search over unstructured data (contracts, reviews, supplier emails) n8n : Orchestration layer for scheduled pulls and cron jobs with a UI Amazon Selling Partner API (SP API) : Source for orders, inventory and finance data (covered in last episode) Amazon Ads API : Source for ad spend, campaign and keyword data Remotion : Code based, React powered video creation framework ElevenLabs : Voice cloning and text to speech. Model used: Multilingual v2 (Pro plan, £22 / month) F5 TTS : Open source text to speech model tested for voice cloning VoiceBox by Jamie Pine : GitHub voice cloning desktop app tested by Danny Pixabay : Free music and sound effects used inside the Remotion workflow Loom : Source of clean voice reference audio if you record team walkthroughs Seller Sessions Live 2026 : Conference 9 May 2026, 18 days out at recording Hosts Danny McMillan : Host of Seller Sessions and Claude Sessions, founder of DataBrill, building AI native tooling for Amazon sellers. Website: https://sellersessions.com LinkedIn: https://www.linkedin.com/in/dannymcmillan Shubhash Sharma : Engineer building data infrastructure for Amazon and TikTok Shop sellers. Returning Claude Sessions co host. What's Next Next week: Ritu returns from Japan with three subjects covered in this month's rotation. In 18 days: Seller Sessions Live 2026 in London on 9 May. Modular format, new venue confirmed. About Seller Sessions Seller Sessions is the leading podcast for serious Amazon sellers, hosted by Danny McMillan since 2017. Claude Sessions is the AI focused monthly strand where Danny and rotating co hosts work through the practical wins, false starts and engineering reality of building with Claude, MCPs and the wider AI stack inside real seller businesses.

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!

The era of curiosity is over. Retailers are finding that moving from a flashy demo to a trusted, scalable production environment is much harder than a slide deck makes it look. In this episode, op Retail Expert & AI Leader, Charisma Glassman sits down with Mark Abramowitz, CMO of Dataiku, to discuss how leaders can hit their performance targets before the 2026 budget reckoning. WHY YOU SHOULD LISTEN: - The Regret Gap: Why 74% of CIOs are second-guessing their AI platforms and how to pivot before budgets are frozen. - The Success Formula: Moving beyond "AI Chaos" by focusing on the three pillars: People, Orchestration, and Governance. - Agentic Reality: How organizations like SoftBank and Roche are saving hundreds of thousands of hours by operationalizing AI on day one. - Vibe Coding and Creativity: Why accessible AI is turning non-technical leaders into creators and why that is the ultimate competitive advantage. Stop managing the hype. Start building for business impact.

In "The Rise of Freight Orchestration with GoodShip's Derek Netelenbos", Joe Lynch and Derek Netelenbos, VP of Partnerships at GoodShip, discuss how an orchestration layer unifies fragmented data to shift logistics from reactive manual tasks to proactive, AI-driven strategy.  About Derek Netelenbos Derek Netelenbos is the VP of Partnerships at GoodShip, the all-in-one platform for freight orchestration and procurement, built for transportation teams, by transportation teams. Derek brings extensive experience building and scaling partnerships and revenue organizations across the logistics and technology sectors. Prior to GoodShip, Derek held leadership roles at Parade, Metafora, Convoy, Groupon and Expedia, where he built and led high-performing teams across sales, sales operations, business development, account management, and strategic partnerships. About GoodShip GoodShip is the all-in-one platform for freight orchestration and procurement, built for transportation teams, by transportation teams. GoodShip unifies freight data, surfaces real-time insights, and helps teams move from reactive decision-making to coordinated, data-driven execution. With the recent launch of Laney, the industry's first AI Transportation Analyst, teams can ask questions about their network and receive in-depth answers in seconds through an intuitive, conversational interface. Learn more at www.goodship.io. Key Takeaways: The Rise of Freight Orchestration In "The Rise of Freight Orchestration with GoodShip's Derek Netelenbos", Joe Lynch and Derek Netelenbos, VP of Partnerships at GoodShip, discuss how an orchestration layer unifies fragmented data to shift logistics from reactive manual tasks to proactive, AI-driven strategy. The "Orchestration" Solution: GoodShip acts as an orchestration layer that unifies disparate data from TMS, ERP, WMS, and visibility platforms. This allows teams to move from reactive, fragmented decision-making to coordinated, data-driven execution. Automated Scorecarding: One of the biggest pain points discussed was the manual effort required to create carrier scorecards. GoodShip automates this process, providing a "single source of truth" that both shippers and carriers can view simultaneously to ensure transparency and performance alignment. Laney, the AI Analyst: GoodShip introduced Laney, an embedded AI agent that allows users to ask complex, unstructured questions about their freight network. Instead of sifting through pivot tables, users can ask Laney to simulate scenarios—like the cost implications of reallocating volume from an underperforming carrier. Modernizing the RFP Process: Traditionally, RFPs were "root canal" events done once a year due to their complexity. GoodShip streamlines procurement, allowing shippers to run more frequent (e.g., quarterly) mini-bids with high-fidelity data, which reduces risk for carriers and leads to more resilient pricing. Expansion to LSPs and Brokers: While GoodShip started with a focus on shippers, the platform has officially expanded to help Logistics Service Providers (LSPs) and brokers. This helps the "sell side" respond to bids more efficiently and manage their own carrier networks with better intelligence. Rapid Deployment via Flat Files: To avoid the long implementation cycles common in logistics tech, GoodShip specializes in ingesting "flat file" data (spreadsheets, scraped emails, etc.). This allows them to go from contract signing to full deployment in just three to four weeks. Data as an Asset: Derek emphasized that every company's historical operating history is a "gold mine" of insights. Orchestration is the process of mining that data to uncover hidden efficiencies that were previously buried in tribal knowledge or disconnected systems. Learn More About The Rise of Freight Orchestration Derek Netelenbos | Linkedin GoodShip | Linkedin GoodShip Learn more about Shipper offering Learn more about Broker offering Meet Laney, GoodShip's AI Transportation Analyst Insight to Action with Ryan Soskin The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

What does the next evolution of people analytics actually look like? As AI reshapes how organisations operate, people analytics is increasingly being drawn into more consultative, business-facing work - helping leaders think through decisions, guide adoption, and play a more active role in how work actually gets done. In this episode of the Digital HR Leaders podcast, host David Green is joined by Jamie Nevshehir, VP of HR Operations and People Analytics at NBCUniversal, to explore what that looks like in practice. So, hit play to learn more about: How to build a people analytics function from scratch and establish credibility earlyWhy strong data foundations still matter more than advanced analyticsHow to introduce a more consultative, business-facing approachThe role of people analytics in guiding and governing AI adoptionWhy dashboards are no longer enough on their ownHow the function is evolving toward influencing decisionsThis episode is sponsored by Visier. Visier Workforce AI is your GPS for workforce decisions. Spot attrition risk, uncover pay gaps, measure leadership impact, and track skills shortages before they slow growth. Then act. Align talent to real business outcomes. Across industries, HR and business leaders are using Visier Workforce AI to navigate the biggest workforce shifts of our time. Move from knowing to doing, faster. See it in action at visier.com Also, make sure to read to explore Visier's latest research on strategic workforce planning in the AI era. Hosted on Acast. See acast.com/privacy for more information.

Paul Rubenstein is Chief Evangelist at Visier, where he partners with CHROs and senior executives to connect talent strategy to business outcomes. He helps organizations move beyond traditional HR to build functions that are commercially minded, data-driven, and aligned to how the business actually runs. With more than two decades of experience across consulting and executive roles, including Chief People Officer and Chief Customer Officer at Visier, Paul brings a unique perspective on how HR can drive real business performance. His mission is simple: unlock the untapped potential of HR and make work better. These episodes of #thePOZcast, live from Unleash 2026 in Las Vegas, are proudly brought to you by our friends at PIN. AI recruiting tools that automate candidate sourcing, screening, and scheduling across 850M+ profiles. Built for recruiters, agencies, and hiring teams. Learn more and check out a demo:  https://www.pin.com/book-a-demo?via=adam-posner Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com ⏱️ Chapters 00:00 – Cold open: conference chaos and “no one eats lunch”01:10 – Meet Paul Rubenstein and his HR journey02:30 – From consulting to HR leadership to evangelist04:00 – Why connecting talent to business outcomes matters05:30 – The dual role of HR: business driver + function optimizer07:00 – The evolution of HR: industrial → personnel → strategic09:30 – The rise of systems: PeopleSoft, scale, and efficiency11:30 – Engagement, sentiment, and the human side of HR13:00 – Globalization and the modern HR operating model14:30 – Why AI is a true inflection point—not just hype16:00 – The problem with siloed HR tech stacks17:30 – Orchestration layers and systems talking to systems19:00 – Democratization of data and decision-making20:30 – The importance of data quality in the AI era22:00 – The dark side: speed, skills gaps, and misuse of AI24:00 – Human + machine optimization (Toyota analogy)26:00 – Why rethinking work is the real challenge27:30 – How HR leaders (and everyone) must evolve29:00 – Why empathy still matters—and won't be replaced

AI is not just another tool. It is changing how clients think, act, and make decisions. In episode 612 of the Lawyerist Podcast, Stephanie Everett talks with Cat Casey about what lawyers need to understand before AI creates problems they cannot fix.  As more clients turn to tools like ChatGPT, lawyers are facing new challenges around trust, accuracy, and confidentiality. Cat explains why even lawyers who choose not to use AI still need to understand it, and how failing to do so can create real risks for both lawyers and their clients.  They share practical ways to approach AI with the right mindset, including how to think about its limitations, how to use it as a thinking partner instead of a replacement, and how to guide clients who may not understand the consequences of using it.  If you want to stay ahead of where the legal profession is heading, this episode offers a clear and actionable place to start.  Listen to our previous episodes on Using AI in Law Practice.  #601 – Beyond Chatbots: Using Agentic AI in Law Firm Intake, with Matt Spiegel Apple | Spotify | LTN  #590 – Innovating Without Overwhelm: Practical AI Tips for Lawyers, with Graydon Trusler Apple | Spotify | LTN   #580 – Smarter Law Firm Marketing: AI Tools That Actually Work, with FirmPilot Apple | Spotify | LTN  #550 – Beyond Content: How AI is Changing Law Firm Marketing, with Gyi Tsakalakis and Conrad Saam Apple | Spotify | LTN  Links from the episode:   https://thetechnocat.com/about  Check out the episode on YouTube: https://youtu.be/PQwAxiNjbhY   Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X!   If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.   Access more resources from Lawyerist at lawyerist.com.    Chapters / Timestamps:  00:00 – Introduction  02:10 – A New Way of Working with AI  05:00 – From Task Execution to Orchestration  07:45 – Meet Cat Casey 09:30 – The Shift Happening Right Now in Law 11:15 – The Rise of AI in Client Behavior 13:45 – Understanding AI Without Getting Technical 16:35 – Why AI Is Not a Research Tool Replacement 18:50 – The Role of Judgment in an AI World 20:10 – AI as a Collaborative Tool 22:10 – Why Iteration Is Part of the Process 23:25 – When AI Creates Legal Risk 25:55 – Confidentiality and Privilege in Practice 27:10 – The Reality of Discoverability 28:20 – Lessons from Past Tech Shifts 29:30 – Where Lawyers Should Start 

Orchestration is the art of choosing the right instruments, and the proper balance thereof, for a composition. Different considerations go into conveying different moods and emotions to better tell the story. Continuing our discussion, we move on to the ever versatile woodwind section. Let's talk about the instruments: flutes, clarinets, oboes and saxophones!