Podcasts about Orchestration

I walk through a complete 30-step playbook for building a modern SaaS company using AI agents, media, and sub-niche positioning. The core argument is that SaaS is evolving rather than dying, and the builders who win are the ones who combine a focused workflow product with a media flywheel and agent-powered execution. Drawing on my experience advising TikTok, Reddit, and building three venture-backed companies, I lay out a step-by-step framework any solo builder or small team can follow from niche selection through to becoming the default execution layer in their market. I'm hosting a free workshop so you can build your business in the age of AI. Sign up here: https://startup-ideas-pod.link/build-with-ai-2026 Timestamps 00:00 – Intro 01:18 – Step 1: Start with a sub-niche inside a big market 02:21 – Step 2-5: Map Workflow end to end 06:37 – Step 6-7: Create scroll-stopping content 10:15 – Steps 8–9: Double down on organic and run paid ads on winners 11:11 – Step 10: Capture emails from day one 11:47 – Steps 11–13: Manually perform the workflow and document every step 13:40 – Steps 14–16: Turn mechanical tasks into agent workflows and connect to real tools 14:47 – Step 17: Add orchestration, retries, and verifications 16:32 – Steps 18–19: Store user preferences and launch with high-touch onboarding 18:20 – Steps 20–21: Publish measurable proof and move to per-task pricing 21:21 – Steps 22–23: Outcome pricing and compounding value 22:07 – Steps 24–27: Expand workflows, build switching costs, create case studies 23:25 – Steps 28–30: Hire from the niche, reinvest profits, become the default layer 24:08 – Closing thoughts Key Points Start in a specific sub-niche, not a broad market — that is where sustainable cash flow lives, not VC competition. The future of SaaS starts as a service business: manually performing the workflow is how I learn what to automate. Media is a core business function, not an afterthought — content creation runs in parallel with product development from day one. Mechanical tasks are AI's strongest suit; separating judgment tasks from mechanical tasks is the key architectural decision. Per-task and outcome-based pricing is replacing per-seat models, and indie builders have a structural advantage in making that shift. Orchestration — coordinating agents, validating outputs, and resolving issues — is the new interface layer and the highest-value position to own. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Download the free guide "5 Spells Every Composer Needs." These spells are interval-based composition techniques that work like magic. In this guide, I explain 5 of my most-used spells with examples so that you can implement them in your compositions as well. https://musicintervaltheory.academy/spells/ Frank explains why orchestration has always functioned as the original EQ and transient shaper, even before plugins existed. He shows how register, doublings, and voicing shape your music's clarity and emotional power. If your orchestral writing needs tons of EQ and processing, the real fix isn't in the mix. It's in the arrangement.

Today, we're joined by Pete Hunt, CEO at Dagster Labs, building out Dagster, the data orchestration platform built for productivity. We talk about:Challenges of determining software pricing with AI workers using appsHow barriers to AI adoption are similar to what we've known in SaaS for a million yearsAI-driven shifts in the workplace [Many disciplines will look a lot more like engineering]How outside sales is among the most durable job functions in the AI eraAdvice for new college grads

In this episode, I sit down with Taylor Eigsti, and this conversation goes everywhere I hoped it would. We talk about preparation versus spontaneity, writing music that leaves room for the present moment, and why the best ensembles feel more like carefully cast films than perfectly rehearsed machines.Taylor shares what it's been like working recently with Michael League, Ben Wendel, Kendrick Scott, Antonio Sánchez, and others, and we get deep into his compositional mindset—why quantity matters, why “bad ideas” are necessary, and how composition is a muscle that has to be exercised. We also talk about his Grammy-winning albums Tree Falls and Plot Armor, the long studio hours behind them, and why recognition doesn't always translate the way people expect.Along the way, we hit on collaboration, identity, touring life, teaching, football fandom, and what it really means to show up prepared and fully present for the moment that actually matters—the short window onstage when everything finally comes alive.Music from the Episode:Let You Bee (Taylor Eigsti)Bucket of F's (Taylor Eigsti)Look Around You (Taylor Eigsti)Thank you for listening. If you have questions, feedback, or ideas for the show, please email me at brad@thebandwichtapes.com.

If you're a VP of Sales watching your revenue team paste customer data into ChatGPT, you don't have an adoption problem - you have a governance crisis. Your best people are uploading signed NDAs to Claude and feeding pipeline data into Perplexity because 70% of their day is admin drag, and AI is the only thing fast enough to keep them above water. Financial services tried to ban AI. It failed spectacularly. So they built governance frameworks that let teams move faster and sleep at night. Dr. Angela Murphy - known as Payments Elsa - reveals the "Amnesty and Orchestration" playbook she architected for banks navigating the GENESIS Executive Order. She's a PhD strategist, 2024 PayTech Women Emerging Trendsetter, and advisor to financial institutions on AI governance and ethical AI mandates. You'll learn the three-step governance audit every Revenue Leader should run this quarter - before Legal does. Angela shares real stories of teams using ChatGPT for payment disputes and compliance workflows, creating massive liability. She reveals the conversation framework to surface Shadow AI without triggering panic, the three policies you can implement in 30 days, and why explainability isn't compliance theater - it's revenue protection. This isn't a "fire your team and replace them with bots" episode. Angela proves ethical AI can surface hidden revenue channels, identify products to sunset, and reveal sales cycle biases costing you deals. The regulatory hammer is coming. Financial services just got hit first. Will you architect governance now, or audit the damage later? Download the Executive Guide to Shadow AI at theaihat.com/shadow-ai. Subscribe to AI for Revenue Leaders: The AI Hat Podcast and stop being a Pilot Purgatory statistic. CHAPTERS 00:00 Ethical AI = Revenue Growth: Find Gaps, Biases & New Channels 01:24 Show Intro & Theme Song: Welcome to The AI Hat Podcast 02:56 The Shadow AI Compliance Time Bomb (Real-World Examples) 03:43 Meet Dr. Angela Murphy (Payments Elsa) + Why Banks Try to Ban AI 07:41 Shadow AI in the Back Office: Spreadsheets, PII, and Manual Ops Risks 11:04 Why Revenue Leaders Should Watch FinTech: Payments Rails & Stablecoins 13:04 Genesis Executive Order Explained: “Suggestulation” and What's Coming 16:24 From Fear to Frameworks: Finding Low-Hanging AI Wins with Guardrails 19:24 Resource Break: Executive Guide to Shadow AI 20:33 Orchestration 101: Tool Inventory, Training, and Policy from Existing Governance 23:33 Explainable AI: Decisions You Can Defend (Underwriting Example) 27:51 Ethics, Bias & Revenue Outcomes: Avoid Lawsuits and Unlock Better Decisions 31:19 Biggest Misconceptions: You Can't Ban AI—and Education Isn't Optional 37:30 Monday Morning Action Plan: Start the AI Policy, Audit Tools, Target Pain Points 40:46 Where to Find Angela + Final Wrap and Next Steps Show Notes & Full Transcript: https://theaihat.com/why-your-sales-teams-shadow-ai-is-a-lawsuit-waiting-to-happen-a-fintech-cros-governance-playbook/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Download the free guide “5 Spells Every Composer Needs.” These spells are interval-based composition techniques that work like magic. In this guide, Frank explains five of his most-used spells with examples so you can implement them in your compositions right away. https://musicintervaltheory.academy/spells/ In this episode of The Music Interval Theory Podcast, Frank challenges the traditional view of the 12 musical intervals and introduces a fresh, practical approach for composers. By grouping intervals into just six core personalities — plus one wildcard tritone — you'll learn how to simplify your composing process and gain deeper control over tension, emotion, and movement in your music. This mindset shift helps you connect theory with real-world composing in a fun, intuitive way.

Orchestration – The Decision Layer of AI Growth On this episode host Adam Turinas is diving into the “decision layer” of AI: Orchestration. This is where AI moves beyond just observing behavior and starts shaping how your go-to-market pipeline actually responds. He'll walk through a realistic healthtech scenario involving a complex sale to a hospital system to show you how orchestration works in the real world. He'll discuss how AI helps you prioritize accounts based on patterns rather than intuition, routes leads with actual conditional logic, and designs responses that coordinate multiple personas without creating chaos. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

Download the free guide “5 Spells Every Composer Needs.” These are powerful interval-based composition techniques, and yes—counterpoint is part of the magic. https://musicintervaltheory.academy/spells/ In this episode, Frank reframes counterpoint as a vibrant conversation between musical lines rather than a rigid academic exercise. You'll learn how counterpoint can bring clarity and energy to your music, especially when applied to full sections in orchestration. From emotional exchange to structural storytelling, this episode is a fresh take on a classic technique—with some interval theory magic sprinkled in.

Today we are talking about Acquia's Fully managed Drupal SaaS Acquia Source, What you can do with it, and how it could change your organization with guest Matthew Grasmick. We'll also cover AI Single Page Importer as our module of the week. For show notes visit: https://www.talkingDrupal.com/540 Topics Introduction to Acquia Source The Evolution of Acquia Source Cost and Market Position of Acquia Source Customizing and Growing Your Business Challenges of Building a SaaS Platform on Drupal Advantages of Acquia Source for Different Markets Horizontal Scale and Governance at Scale Canvas CLI Tool and Synchronization Role of AI in Acquia Source Agencies and Enterprise Clients AI Experiments and Content Importer AI and Orchestration in Drupal Future Innovations in Acquia Source Resources Acquia source Nebula Guests Matthew Grasmick - grasmash Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Catherine Tsiboukas - mindcraftgroup.com bletch MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to use AI to help map various content on an existing site to structured fields on Drupal site, as part of creating a node? There's a module for that. Module name/project name: AI Single Page Importer Brief history How old: created in Jan 2026 by Mark Conroy (markconroy) who listeners may know from his work on the LocalGov distribution and install profile Versions available: 1.0.0-alpha3, which works with Drupal core 10 or 11 Maintainership Actively maintained Documentation - pretty extensive README, which is also currently in use as the project page No issues yet Usage stats: 2 sites Module features and usage With this module enabled, you'll have a new "AI Content Import" section at the top of the node creation form. In there you can provide the URL of the existing page to use, and then click "Import Content with AI". That will trigger a process where OpenAI will ingest and analyze the existing page. It will extract values to populate your node fields, and then you can review or change those values before saving the node. In the configuration you can specify the AI model to use, a maximum content length, an HTTP request timeout value, which content types should have the importer available, and then also prevent abuse by specifying blocked domains, a flood limit, and a flood window. You will also need to grant a new permission to use the importer for any user roles that should have access. The module also includes a number of safeguards. For example, it will only accept URLs using HTTP or HTTPS protocols, private IP ranges are blocked, and by default it will only allow 5 requests per user per hour. It will perform HTML purification for long text fields, and strip tags for short text fields. In addition, it removes dangerous attributes like onclick or inline javascript, and generates CKEditor-compatible output. It currently supports a list of field types that include text_long, text_with_summary, string, text, datetime, daterange, timestamps and link fields. It also supports entity reference fields, but only for taxonomy terms. Listeners may also be aware of the Unstructured module which does some similar things, but requires you to use an Unstructured service or run a server using their software. So I would say that AI Single Page Importer is perhaps a little more narrow in scope but works with an OpenAI account instead of requiring the less commonly used Unstructured.

In this episode of Revenue Cycle Optimized, Jennifer Glockzin, Senior Director of Patient Access at Infinx, walks through the real-world prior authorization process from intake to determination and appeals. Her breakdown highlights how disciplined workflows, supported by AI agent automation and coordinated human in-the-loop, protect revenue and reduce preventable denials.

If you've been following our series on using AI to grow your pipeline, you know we've already covered how to spot early buyer signals. But here is the reality: even the most sophisticated signal detection won't build your pipeline on its own. Pipeline is built through decisions.In this episode, I'm diving into the "decision layer" of AI: Orchestration. This is where AI moves beyond just observing behavior and starts shaping how your go-to-market pipeline actually responds. I'll walk through a realistic healthtech scenario involving a complex sale to a hospital system to show you how orchestration works in the real world. We'll discuss how AI helps you prioritize accounts based on patterns rather than intuition, routes leads with actual conditional logic, and designs responses that coordinate multiple personas without creating chaos. This episode is about shifting your mindset from buying tools to designing an AI-assisted decision system.Key Topics Covered"(00:00:00)" Introduction"(00:01:01)" Review of the AI Pipeline series "(00:02:00)" Defining Orchestration"(00:03:00)" A Real-World Scenario"(00:04:00)" Layering Tools"(00:05:00)" The First Layer"(00:07:01)" The Second Layer"(00:08:48)" Budget-Friendly Orchestration"(00:09:58)" The Third Layer"(00:11:01)" Aligning Messaging"(00:11:51)" Why Orchestration Fails"(00:12:30)" Advice for CMOs"(00:13:00)" Preview of the next episodeIf 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.

Download the free guide “5 Spells Every Composer Needs.” Spells are interval-based composition techniques that work like magic. In this guide, I explain 5 of my most-used spells with examples so that you can implement them in your compositions as well. https://musicintervaltheory.academy/spells/ In this episode of The Music Interval Theory Podcast, Frank shares why he refuses to join the “music theory police” and how the internet often turns helpful knowledge into gatekeeping. He explores the value of curiosity in learning, why asking questions should be safe, and how theory is best used as a creative tool—not a strict rulebook. If you're tired of rigid opinions and just want to make great music, this one's for you.

Karl and Erum break down how biology is transforming the production of everything from cosmetics to construction materials. They explore why the petrochemical era is giving way to biological manufacturing, examining both the spectacular failures of early biofuels and the emerging success stories of companies like K18 and Mango Materials. Karl and Erum explain the fundamentals of fermentation, precision fermentation, and cell-free manufacturing, while introducing concepts like distributed biomanufacturing and "dirty biology." Drawing on insights from previous guests including Doug Friedman, Michelle Stansfield, Veronica Breckenridge, and Phil Morle, they reveal why 95% of executives are now pursuing bio-solutions and how three converging forces—falling technology costs, rising consumer expectations, and new infrastructure—are making this the moment for biomanufacturing to finally deliver on its promise.Grow Everything brings the bioeconomy to life. Hosts Karl Schmieder and Erum Azeez Khan share stories and interview the leaders and influencers changing the world by growing everything. Biology is the oldest technology. And it can be engineered. What are we growing?Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.messaginglab.com/groweverything⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Chapters:(00:00:00) - Why AI might just become our CEO (plus haircuts, Pilates, and gene therapy for hearing loss)(00:02:05) - Eli Lilly's $1B gene therapy deal for hearing loss(00:05:00) - Long Now podcast recommendation and NASA astrobiologist Lynn Rothschild(00:07:00) - Discussion of Apple TV's Scion and Drops of God(00:11:00) - What is biomanufacturing and why does it matter?(00:13:00) - The history of petrochemicals as "green technology"(00:16:00) - The opportunity: removing gigatons of carbon and unlocking trillion-dollar markets(00:19:00) - Types of biomanufacturing: fermentation, precision fermentation, and continuous fermentation(00:22:00) - Cell-free manufacturing and plant cell bioreactors(00:26:00) - Growing products with mycelium and dirty biology approaches(00:29:00) - Why biomanufacturing has been hard: the valley of death(00:30:00) - The biofuels bust and lessons from 60 failed companies(00:34:00) - Infrastructure challenges and the capacity gap(00:36:00) - New solutions: performance over sustainability and the K18 example(00:40:00) - Orchestration beats invention: connecting the entire value chain(00:43:00) - Distributed biomanufacturing and making products from waste(00:48:00) - The bio-better reality: what consumers and CPG companies need(00:51:00) - Three forces converging to make biomanufacturing work now(00:53:00) - Quickfire questions: luxury vs. commodities, funding, and AI's roleLinks and Resources:Links and Resources DOCTopics Covered: biomanufacturing 101, industrial biotechnology, precision fermentation, continuous fermentation, cell-free biomanufacturing, distributed biomanufacturing, dirty biology, bio-based materials, performance vs sustainability, CPG reformulationHave a question or comment? Message us here:Text or Call (804) 505-5553⁠Instagram⁠  / ⁠Twitter⁠ / ⁠LinkedIn⁠ / ⁠Youtube⁠ / ⁠Grow Everything⁠Music by: Nihilore Production by:  Amplafy Media

This episode wraps up our Technology Modernization theme with a Siemens perspective that feels very grounded in what factories are actually dealing with right now. Brian Albrecht and Louis Hughes from the Siemens XD team walk through what they are seeing in the field across brownfield and greenfield conversations, why executives keep asking for industrial AI before the foundations are ready, and what it really takes to turn messy plant data into something you can trust for analytics, operations, and eventually AI enabled workflows.A big thread in this conversation is that modern manufacturing is not blocked by ambition, it is blocked by readiness. Everyone wants faster decisions, fewer surprises, and higher uptime, but the path there usually starts with boring work that is not optional. Data transparency across machine, plant, MES, and cloud layers. A clear definition of what real time actually needs to mean for a given use case. And a plan to contextualize and orchestrate data so that AI does not get fed junk inputs. Brian and Louis explain how they approach those early customer conversations, how workshops turn vision into prioritized use cases, and why trust, pilots, and repeatability matter more than flashy demos when you are working in regulated or high consequence environments.If you have been hearing nonstop AI buzz but you are still wrestling with legacy controls, inconsistent tags, documentation that no one can find, and seven layers of security constraints, this episode is for you. We get into practical use cases like AI vision and anomaly detection, LLMs for tribal knowledge and troubleshooting workflows, and the idea of fast versus slow AI, meaning AI that must act during production versus AI that can analyze after the fact.Timestamps00:00 Welcome and why this episode closes the modernization theme02:10 Meet Brian Albrecht and Louis Hughes from the Siemens XD team05:25 Vertical differences across oil and gas, discrete, and process manufacturing07:50 What executives ask for right now beyond AI, factory of the future and data transparency10:50 Brownfield reality and why most modernization work starts with legacy systems12:30 The AI conversation when foundations are missing, meeting customers where they are15:10 Current AI use cases in manufacturing, downtime, throughput, LLMs, and vision18:10 What it means to be AI ready, data silos, contextualization, and orchestration23:50 Fast versus slow AI and why production time decisions are different from analytics25:30 Edge versus cloud architecture, latency, and where the data should live33:40 Cybersecurity, trust, and why perception can lag behind the technology36:50 Hallucinations, guardrails, and why recommendations usually come before automation51:10 Book recommendations, career advice, and future predictions for industrial AIAbout the hostsVlad Romanov is an electrical engineer with an MBA from McGill University and over a decade of experience in manufacturing and industrial automation. He has worked across large scale environments including Procter and Gamble, Kraft Heinz, and Post Holdings, and he now leads Joltek, helping manufacturers modernize systems, improve reliability, strengthen IT and OT architecture, and upskill technical teams through practical training and on site enablement.Dave Griffith is the cohost of Manufacturing Hub and an industrial automation practitioner who focuses on how modern technologies translate into real factory outcomes, from controls and data foundations to scalable implementation strategies.About the guestsBrian Albrecht started in electrical engineering and spent about a decade in systems integration in Oklahoma City focused on oil and gas, building SCADA, networking, and automation solutions and leading teams delivering real world projects. He now works with Siemens customers on building relationships and delivering solutions that create measurable value.Louis Hughes has roughly 20 years of manufacturing experience, starting in software development for manufacturing and engineering applications, then moving into solution architecture, services delivery, and experience center leadership. He now leads a smart manufacturing team, bringing a software and systems view into automation conversations focused on solving customer problems, not just deploying tools.Joltek Services - https://www.joltek.com/servicesContact Joltek - https://www.joltek.com/contactReferenced in the episodeProveIt Conference - https://www.proveitconference.com/Siemens - https://www.siemens.com/Crossing the Chasm by Geoffrey A Moorehttps://en.wikipedia.org/wiki/Crossing_the_ChasmExtreme Ownership by Jocko Willink and Leif Babinhttps://en.wikipedia.org/wiki/Extreme_Ownership

AI coding tools are writing more code than ever, but your software isn't shipping any faster. Welcome to the AI Paradox and the solution, intelligent orchestration.Bill Staples, CEO of GitLab, explains why AI-accelerated coding is actually creating massive downstream bottlenecks in code reviews, security checks, and deployment, and why adding more AI tools only makes the problem worse. GitLab's solution: intelligent orchestration across the entire software development lifecycle.You'll discover:✅ The "AI Paradox:" why faster coding isn't translating into faster software delivery✅ How tool fragmentation and context-switching are killing developer productivity✅ Why agents that thrive on context fail when your tools are siloed✅ The "inner loop architecture" that makes AI agents 40% more accurate and 25% faster✅ How GitLab's intelligent orchestration approach combines workflows, context, and guardrails✅ Why mid-level developers are about to become strategic orchestrators (not just coders)✅ The exact metrics CIOs should track, and why "lines of code" is the wrong one✅ First steps: audit, consolidate, and pilot before going all-in on AI⏱️ TIMESTAMPS0:00 The AI Paradox: Why faster coding doesn't mean faster delivery1:10 How tool fragmentation creates developer bottlenecks3:40 Why AI agents make complexity worse (not better)5:12 Solving the AI automation problem: people, process, and technology6:36 Inner loop architecture: co-locating agents and data9:14 Intelligent orchestration: workflows, context, and guardrails10:32 How GitLab's knowledge graph supercharges agent accuracy12:49 Universal guardrails for humans and AI agents13:39 Real-world results: 2-3x more merge requests, pipeline fixes in minutes15:00 Common threads driving customer success16:36 How AI transforms the mid-level developer's role19:06 Advice for CIOs and CTOs putting this into practice20:49 First steps: audit, measure, and pilot22:45 Core metrics to evaluate AI's real value25:02 Wrap-up

In this episode, we explore why hyperconnected, orchestrated supply chains are critical, covering visibility, disruption management, talent, AI, collaboration, and how SAP and Deloitte help leaders modernize. Download the ⁠⁠⁠⁠⁠⁠episode transcript⁠⁠⁠⁠⁠ ===== This week we, together with Deloitte's Jagjeet Singh discuss the shift toward hyperconnected, orchestrated supply chains. They discuss today's top challenges - limited visibility, constant disruptions, and talent gaps - and how to break silos, align planning with execution, and use AI, control towers, and collaboration platforms to improve decisions. ===== Guest 1: Jagjeet Singh, US SAP Supply Chain Market Offering Leader, DeloitteJagjeet is a principal (equity partner) in the Deloitte US firm providing Consulting Services to clients in several industries including MedTech, Pharma, Consumer and Manufacturing. In his experience of more than 25 years, he has led global and complex enterprise transformation programs creating value for organizations through simplification, standardization, AI-enabled innovation and automation with SAP. He leads the US SAP Supply Chain market offering for the firm driving external relationships, internal talent enablement, and asset development for the supply chain domain. His end-to-end transformation expertise includes advising companies on implementing best business strategies to maximize revenue, minimize cost and improve margins. ⁠ Host 1: Richard Howells, SAP ⁠⁠Richard Howells⁠⁠ has been working in the Supply Chain Management and Manufacturing space for over 30 years. He is responsible for driving the thought leadership and awareness of SAP's ERP, Finance, and Supply Chain solutions and is an active writer, podcaster, and thought leader on the topics of supply chain, Industry 4.0, digitization, and sustainability. ===== Show Links: Deloitte: https://www.deloitte.comSupply Chain Management: ⁠⁠⁠⁠SAP Supply Chain Management⁠⁠⁠⁠ ⁠⁠⁠⁠SAP Insights: Supply Chain⁠⁠⁠⁠   Follow Us on Social Media  Richard Howells: LinkedIn, SAP Digital Supply Chain: LinkedIn   Please give us a like, share, and subscribe to stay up-to-date on future episodes!   =====  Chapters:   00:00:00: Intro00:01:25: Guest introduction00:02:19: Key 2026 challenges: visibility, disruptions, talent00:04:19:   What makes it difficult to react quickly and efficiently to disruptions? 00:09:06: Real impact of  internal silos and disconnected systems00:10:33: What leaders need: orchestration, risk mindset, and decision frameworks00:12:56: Using data and AI to automate and orchestrate end-to-end
00:16:36: Collaborating beyond the four walls and multi-tier visibility00:18:52:  Best practices & Quick wins: more agile and orchestrated supply chain00:22:00: How SAP and Deloitte partner on orchestration 00:24:32 What's the future of the supply chain?00:25:38: Outro

Is Slack just a chat app, or is it becoming the command line for the agentic future? Andrew sits down with Kurtis Kemple, Senior Director of DevRel at Slack, to discuss the platform's evolution into an "agentic work operating system" where humans and bots collaborate in real-time. They explore the concept of "leaky prompts," how to harness unstructured chat data to drive automation, and share practical advice on how engineering leaders can start deploying their own custom agents to reclaim their time.Watch the Vibe Coding Session: If you enjoyed this conversation, subscribe to the Dev Interrupted YouTube Channel to watch Andrew and Kurtis vibe code together!LinearBUnify your Copilot and Cursor impact metricsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Slack for Developers: api.slack.comSalesforce Agentforce: Learn more about AgentforceBolt for JavaScript: Slack's FrameworkConnect with Kurtis on LinkedIn OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Migration wird in Unternehmen noch immer unterschätzt. Zu oft wird sie als technisches Upgrade verkauft – und endet als organisatorisches Minenfeld. In dieser Folge von AI or DIE sprechen Andreas, Janine und Volker von Opitz darüber, warum Migration nie nur ein Tool-Thema ist, sondern immer ein Eingriff in Prozesse, Kultur und Machtverhältnisse. Es geht um die harten Wahrheiten aus der Praxis: Warum selbst kleine Upgrades zu Großprojekten werden können. Weshalb Frontend-Migrationen regelmäßig eskalieren, während Backend-Wechsel leise, aber gefährlich sind. Und warum Migration fast nie an Technologie scheitert – sondern an Menschen, Widerständen und fehlender Wertschätzung für bestehendes Wissen. Die Folge macht klar: Migration ist kein Projekt mit Enddatum, sondern ein kontinuierlicher Anpassungsprozess. Wer glaubt, man könne „mal eben“ von On-Prem in die Cloud wechseln, neue Tools einführen oder alte Systeme abschalten, ohne Fachbereiche mitzunehmen, wird scheitern. Diese Episode liefert Orientierung für alle, die Migration realistisch planen, sauber kommunizieren und strategisch umsetzen wollen – ohne Hochglanzfolien, aber mit Haltung.  Timestamps 00:00 – Einstieg: Warum Migration jahrelang verdrängt wurde 00:46 – Was Migration wirklich ist: Update vs. Upgrade vs. Migration 02:12 – Wenn ein Upgrade plötzlich zur Migration wird 03:28 – Tool-, Datenbank- und Frontend-Wechsel eingeordnet 03:50 – On-Prem → Cloud als häufigster Treiber 04:41 – Lift & Shift oder echter Architekturbruch 05:09 – Typische Auslöser für Migrationsentscheidungen 06:13 – Legacy-Systeme, Fachkräftemangel, KI-Blockaden 07:55 – Fachbereiche als Migrationstreiber 08:45 – Warum Migration kein Nebenprojekt ist 09:33 – Der Klassiker: Halbfertige Migrationen 10:09 – Frontend-Migrationen als größtes Risiko 11:50 – Backend-Migration: weniger sichtbar, nicht weniger gefährlich 12:52 – Data Integration & Orchestration tauschen 14:21 – Klare Zielbilder im Backend 14:41 – Migration scheitert selten an Technik 15:12 – Menschen, Anforderungen und Komplexität 15:39 – Abhängigkeiten zwischen BI, ERP und Operativsystemen 17:06 – Data Culture als kritischer Erfolgsfaktor 17:46 – Neue Technologien vs. bestehendes Expertenwissen 18:37 – Warum „alt = schlecht“ ein fataler Denkfehler ist 19:55 – Widerstände als Normalzustand 21:01 – Warum Redesign fast immer nötig ist 21:37 – Wertschätzung für Legacy-Expert:innen 22:44 – Zwei-Welten-Problem: Alt-System vs. neuer Stack 23:42 – Migration ≠ klassisches Projekt 25:23 – Berater als Coaches statt Projektabwickler 26:28 – Architekturverständnis vs. Tool-Expertise 28:33 – Interdisziplinäre Teams als Schlüssel 29:31 – Wann Migration trotzdem ein klar definiertes Projekt sein muss 30:16 – Migration ist immer nur der Anfang 31:37 – Flexibilität schlägt Tool-Spezialisierung 33:41 – Fazit Janine 34:14 – Schlusswort Volker 34:48 – Ende der Folge

What happens when anyone can build anything? Melody and I snapshot this AI moment for us: vibe coding as gambling, understanding debt, McLuhan's extensions and amputations, building for community not companies, and why culture is really about cultivation.0:00 Internet Checkpoint (what it means + why we're recording)3:29 Why This Felt Urgent8:03 The Vibe Coding Journey (printers → force push → Claude Code)12:03 Why It Feels Like Gambling14:03 How the Design Process Has Changed15:26 Abstraction All the Way Down16:56 "The Hottest Programming Language Is English"18:14 The Faucet Turned On22:55 Will AI Replace Us?27:15 McLuhan: Extension and Amputation30:05 "The Seed Needs to Be High Quality"34:30 Orchestration and Human Judgment35:46 Building for Community, Not Companies39:58 Culture, Belief, and What Makes Us Human42:32 "There Is No Inevitability"48:52 The Checkpoint

Many people think being good with AI means knowing how to write clever prompts.But Chris Lema says real expertise today goes much deeper than that.He explains that the real skill is AI orchestration—knowing how to guide AI step by step, the same way a professional would do real work.Instead of using AI as a shortcut, he encourages us to build clear systems that reflect our own standards, experience, and personal voice. When you create simple stages for tasks like writing, editing, and refining content, the results become better, faster, and more consistent.He also reminds us that being honest about how we use AI builds trust. People respect clear methods more than pretending everything was done without help.In the end, an AI orchestrator is like a conductor—using human wisdom to direct technology toward excellent results.And when you think this way, AI stops sounding generic and starts becoming a powerful tool for authentic and scalable creativity.Welcome to the Fruitfulujah Podcast.

Creative teams waste hours on approval bottlenecks and unclear handoffs. Christine Royston, CMO at Wrike, explains how AI-powered workflow orchestration eliminates these friction points. She details automated approval routing systems that clarify roles and responsibilities, plus integration strategies that keep all creative collaboration within a single platform to prevent conflicting feedback loops.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Creative teams waste hours on approval bottlenecks and unclear handoffs. Christine Royston, CMO at Wrike, explains how AI-powered workflow orchestration eliminates these friction points. She details automated approval routing systems that clarify roles and responsibilities, plus integration strategies that keep all creative collaboration within a single platform to prevent conflicting feedback loops.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Explore the Circle of Interval Magicians. You find the Circle quickly by googling "Circle of Interval Magicians," or by following this link: https://www.skool.com/circle-of-interval-magicians/about?ref=bfbebbc3d8d04a84806842a78f42963a In this episode, Frank shares how composing in isolation can distort your creative judgment—and how inviting feedback into your process can unlock surprising clarity and growth. Through personal studio stories and practical examples, you'll discover why community matters, how different ears catch different things, and what it really feels like to shape your music while the clay is still soft. Step inside the Circle of Interval Magicians and find your musical mirror.

Download the free guide “5 Spells Every Composer Needs.” These are interval-based techniques that work like magic — and they're ready for you to use in your own compositions!

In this special episode of The MadTech Podcast, ExchangeWire CEO Rachel Smith is joined by Mazen Mroueh, head of performance product & operations & retail media at Publicis Media in Dubai, to talk about the new phase of retail media.Their conversation looks into shifting consumer behaviours and the move from monetisation to orchestration, exploring how agencies and data collaboration are driving a more sophisticated retail media ecosystem in the MENA region.0:00 The new phase of retail media8:47 Role of the agency16:40 Data collaboration & advertising29:55 Retail media success in 2-3 years

Pete Hunt, CEO of Dagster Labs, joins Amir Bormand to break down why modern data teams are moving past task based orchestration, and what it really takes to run reliable pipelines at scale. If you have ever wrestled with Apache Airflow pain, multi team deployments, or unclear data lineage, this conversation will give you a clearer mental model and a practical way to think about the next generation of data infrastructure. Key Takeaways• Data orchestration is not just scheduling, it is the control layer that keeps data assets reliable, observable, and usable• Asset based thinking makes debugging easier because the system maps code directly to the data artifacts your business depends on• Multi team data platforms need isolation by default, without it, shared dependencies and shared failures become a tax on every team• Good software engineering practices reduce data chaos, and the tools can get simpler over time as best practices harden• Open source makes sense for core infrastructure, with commercial layers reserved for features larger teams actually need Timestamped Highlights00:00:50 What Dagster is, and why orchestration matters for every data driven team00:04:18 The origin story, why critical institutions still cannot answer basic questions about their data00:07:02 The architectural shift, moving from task based workflows to asset based pipelines00:08:25 The multi tenancy problem, why shared environments break down across teams, and what to do instead00:11:21 The path out of complexity, why software engineering best practices are the unlock for data teams00:17:53 Open source as a strategy, what belongs in the open core, and what belongs in the paid layer A Line Worth RepeatingData orchestration is infrastructure, and most teams want their core infrastructure to be open source. Pro Tips for Data and Platform Teams• If debugging feels impossible, you may be modeling your system around tasks instead of the data assets the business actually consumes• If multiple teams share one codebase, isolate dependencies and runtime early, shared Python environments become a silent reliability risk• Reduce cognitive load by tightening concepts, fewer new nouns usually means a smoother developer experience Call to ActionIf this episode helped you rethink data orchestration, follow the show on Apple Podcasts and Spotify, and subscribe so you do not miss future conversations on data, AI, and the infrastructure choices that shape real outcomes.

Today we are talking about Integrations into Drupal, Automation, and Drupal with Orchestration with guest Jürgen Haas. We'll also cover CRM as our module of the week. For show notes visit: https://www.talkingDrupal.com/537 Topics Understanding Orchestration Orchestration in Drupal Introduction to Orchestration Services Drupal's Role in Orchestration Flexibility in Integration Orchestration Module in Drupal Active Pieces and Open Source Integration Security Considerations in Orchestration Future of Orchestration in Drupal Getting Involved with Orchestration Resources Orchestration N8N https://www.cve.org/CVERecord?id=CVE-2026-21877 https://www.cve.org/CVERecord?id=CVE-2026-21858 Drupal as an application Tools Orchestration ECA Maestro AI Flowdrop Guests Jürgen Haas - lakedrops.com jurgenhaas Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted a Drupal-native way to store, manage, and interact with people who might not all be registered users? There's a module for that. Module name/project name: CRM - Contact Relationship Management Brief history How old: created in Apr 2007 by Allie Micka, but the Steve Ayers aka bluegeek9 took over the namespace Versions available: 1.0.0-beta2, which works with Drupal 11.1 or newer Maintainership Actively maintained, latest release just a day ago Security coverage: opted in, but needs a stable release Test coverage Number of open issues: 73 open issues, but all bugs have been marked as fixed Usage stats: 10 sites Module features and usage Listeners may remember some mention of the CRM module in the conversation about the Member Platform initiative back in episode 512 As a reminder, something other than standard Drupal user accounts is useful for working with contact information for people where you may not have all the criteria necessary for a Drupal user account, for example an email address. Also, a dedicated system can make it easier to model relationships between contacts, and provide additional capabilities. It's worth noting that this module defines CRM as Contact Relationship Management, not assuming that the data is associated with "customers" or "constituents" as some other solutions do At its heart, CRM defines three new entity types: contacts, contact methods, and relationships. Each of these can have fieldable bundles, and provides some default examples: Person, Household, and Organization for contacts; Address, Email, and Telephone for contact methods; and Head of household, Spouse, Employee, and Member for relationships Out of the box CRM includes integrations with other popular modules like Group and Context, in addition to a variety of Drupal core systems like views and search As previously mentioned CRM is intended to be the foundational data layer of the Member Platform, but is also a key element of the Open Knowledge distribution, meant to allow using Drupal as a collaborative knowledge base and learning platform

In this CPQ Podcast episode, Frank Sohn sits down with Vinay Toomu, who leads both ScaleFluidly (CPQ / quote-to-order platform) and CommerceCX (a systems integrator working with Salesforce and Conga). Since Vinay's last appearance in 2023, ScaleFluidly has matured into a full quote-to-order revenue orchestration platform—built on a composable core engine that customers can extend with their own apps. Vinay shares what he sees across real implementations: the biggest wins come from improving adoption, reducing friction for sales teams, and putting the right governance in place. They discuss support for direct sales, partner sales, and ecommerce, ScaleFluidly's low-code/no-code approach, and how their architecture differs for SMB (multi-tenant)versus enterprise (environment separation). The episode also covers newer capabilities like role-based controls, security certifications (ISO 27001 and SOC 2 Type 2), and a Chrome assistant designed to streamline CRM workflows. Finally, they unpack ScaleFluidly's practical view of AI in CPQ—where it works today, what's harder at enterprise scale, and how consolidation in the CPQ market could influence innovation.

Let's be real: “centralization” has become a buzzword. My belief is that a transient buzzword, as it will be a relic in the coming 18 months. But in today's Multifamily Operator Tip of the Day, I'm reframing it. Leasing, renewals, even maintenance, they're moving off-site thanks to technology and scale. But that doesn't erase the human role. It elevates it. Might I hedge, at some point, owners and operators will have a choice to make. AI-forward. Or, Human-forward. The new property manager isn't a transaction processor. They're an orchestrator of service, experience, and outcomes. That's the role. That's the future.We cover:*Why early adopters will win talent and consistency*How outdated staffing models will hold you back*What it really means to lead during this era of orchestration*A glimpse of what's coming next: AI as the ultimate orchestratorThis is not the end of humans; for now, it's the beginning of better roles for them.Like what you're hearing? Subscribe and stay ahead of the shift. Blog: https://www.multifamilycollective.comBook: https://amzn.to/3YI6BDaSupport comes from: https://www.365connect.com/?utm_campaign=mmnHosted by: https://www.multifamilymedianetwork.comTomorrow we're talking agentic design.

In this week's episode Richard and SAP's Dominik Metzger explore how Agentic AI, simulations and data fabrics redefine supply chain orchestration, turning disruption into advantage and reshaping roles, networks and operating models for 2026 and beyond Download the ⁠⁠⁠episode transcript⁠⁠ ===== This week we, together with SAP's Dominik Metzger, dive into the role of AI and orchestration in the supply chain of 2026 and beyond. Dominik explains how Agentic AI, persona based assistants and simulations help sense risk, model scenarios and execute responses across functions. The conversation covers data strategy, business data fabrics, end tier visibility, quantum computing and Agentic AI. ===== Guest 1: Dominik Metzger, President & Chief Product Officer, Supply Chain Management, SAP Dominik Metzger is President, Chief Product Officer for SAP's Supply Chain Management organization, overseeing a global Line of Business (LoB). This organization is focused on SAP's comprehensive portfolio of products across the entire Design-to-Operate process coupled with the SAP Business Network solutions that drive efficient, agile, resilient and sustainable supply chains for customers. His product responsibilities encompass the design, product management, engineering, marketing and go-to-market functions.  Dominik has over 18 years of experience in the Supply Chain field, with a strong background in consulting, product management and go-to-market responsibilities. Prior to taking on his current role, Dominik led the SAP Digital Supply Chain product organisation. He joined SAP in 2020 to lead the company's Industry 4.0 initiative and quickly took on additional responsibilities as the Head of Product Management for Manufacturing and Industrial IoT.  Before joining SAP, Dominik lived in New York City where he was a Managing Director for the implementation partner Westernacher Consulting. Prior to his time in the US, Dominik worked as a Solution Architect for Digital Supply Chain solutions in Singapore (for 4 years) and Germany. Throughout his career in Consulting, he successfully led and delivered numerous digital transformation projects across various industries including Automotive, Chemicals, Consumer Products, Logistics Service Providers, IM&C and Retail. These projects spanned multiple regions, including Europe and Asia. ⁠ Host 1: Richard Howells, SAP ⁠⁠Richard Howells⁠⁠ has been working in the Supply Chain Management and Manufacturing space for over 30 years. He is responsible for driving the thought leadership and awareness of SAP's ERP, Finance, and Supply Chain solutions and is an active writer, podcaster, and thought leader on the topics of supply chain, Industry 4.0, digitization, and sustainability. ===== Show Links: Supply Chain Management: ⁠SAP Supply Chain Management⁠ ⁠SAP Insights: Supply Chain⁠   Follow Us on Social Media  Richard Howells: ⁠LinkedIn⁠, ⁠X⁠  SAP Digital Supply Chain: ⁠LinkedIn⁠   Please give us a like, share, and subscribe to stay up-to-date on future episodes!   =====  Chapters:   00:00:00: Intro00:01:21: Guests' Introductions00:01:43: Entering 2026: Top Priorities for Supply Chain Leaders00:05:06: End‑Tier Visibility, Risk Sensing, and Impact Analysis00:11:01: Agentic Workflows: Multiple AI Assistants Collaborating00:17:10: Data Foundations: Ownership, Quality, and Business Context00:22:43: 2026 and Beyond: Agentic AI, Quantum Computing, and Physical AI00:26:53: What is the Future of Supply Chain?

The ROI of Consumer Experience Orchestration Join hosts Jared Johnson and Zain Ismail with Praia Health CEO Justin Dearborn and VP of Strategy & Operations Doug Grapski discussing the greatest opportunities for health systems to lead out in orchestrating consumer experiences. Don't know what that means? Doug describes it at a 3rd-grade level.  All that, plus a rapid fire round and the first of our new Shout Out segments.  Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

In this episode, I am kicking off a new series with a simple warning: mind the gap. Specifically, I am addressing the AI Pipeline Growth Gap, which is the massive disconnect between using AI for tactical content creation and using it to actually generate revenue. While recent surveys show that over 93% of healthtech marketers are using AI, less than 10% have a strategic roadmap for how it will impact their pipeline. In this episode, I introduce a four-pillar framework designed to help you bridge that gap. We move past the tactical efficiency use cases to explore how Signal Intelligence, Orchestration, Execution, and Governance can transform your marketing from a cost center into a revenue engine. If you are feeling pressure from leadership to show real ROI from your AI tools, this series will give you the actionable roadmap you need.Key Topics:"(00:00:00)" Introduction"(00:01:30)" AI adoption for content versus pipeline impact"(00:02:52)" Key statistics"(00:04:20)" What the C-Suite actually expects"(00:08:00)" The Four Pillars Framework for AI pipeline growth"(00:12:30)" Pillar 1: Signal Intelligence and detecting intent decay"(00:15:28)" Pillar 2: Orchestration and dynamic routing"(00:17:30)" Pillar 3: Execution and Acceleration"(00:19:54)" Pillar 4: Governance and Learning to scale "(00:22:00)" Overview of the upcoming seven-part series roadmapIf 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.

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co/ -------- In this episode, I share my outlook for 2026 and explain why AI tools now feel genuinely different. I explore how the act of making has been transformed, why authenticity and meaning will become the new scarcity, and whether the foundations of energy and capital can hold. I also address the question I was asked most in 2025: when will the AI bubble burst? Skip to the best bits: 00:00 Why AI feels different in 2026 01:59 The six shifts in AI 03:32 The "done list" era 06:43 From execution to orchestration 09:02 The agentic coding revolution 11:10 What's a Chief Question Officer? 13:58 Three ways value will be created 16:27 "Claude told me to use ChatGPT" 18:02 The AI usage gap 20:30 The new moat in 2026 26:10 How does solar growth affect AI? 28:53 Revisiting the bubble or boom question ------ Where to find me: Exponential View newsletter: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azhar/ Twitter/X: https://x.com/azeem Production by supermix.io and EPIIPLUS1 Production and research: Chantal Smith and Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

פרק מספר 510 של רברס עם פלטפורמה, שהוקלט ב-6 בינואר 2026. אורי ורן מקליטים בכרכור ומארחים את טל (מאזין ותיק!) מחברת Rhino Federated Computing לשיחה על עולם של חישוב מבוזר, פרטיות רפואית, הצפנות הומומורפיות ונוסטלגיה ל-SETI@home (ולא AI! טוב, גם…).

Hildegard runs at the Gerald W. Lynch Theater at John Jay College as part of the 2026 PROTOTYPE Festival through January 14th. To learn more, please visit www.prototypefestival.org. Follow The Present Stage on Instagram at @thepresentstageThe Present Stage: Conversations with Theater Writers is hosted by Dan Rubins, a theater critic for Theatermania and Slant Magazine. You can also find Dan's reviews on Cast Album Reviews and in The New Yorker's Briefly Noted column.The Present Stage supports the national nonprofit Hear Your Song. If you'd like to learn more about Hear Your Song and how to support empowering youth with serious illnesses to make their voices heard though songwriting, please visit www.hearyoursong.org

AI is becoming the orchestration layer inside the enterprise.In this episode of Big Ideas 2026, we explore the shift from isolated AI copilots to coordinated multi-agent systems that plan, analyze, and execute work across teams and tools. This is not a new feature, but a new way workflows run inside large organizations.You will hear from Seema Amble on context extraction and coordinated agent teams, Angela Strange on why unified data and parallel workflows accelerate core replacement, Alex Immerman on multiplayer AI and execution boundaries, and David Haber on what makes these systems commercially defensible.Together, these perspectives define the enterprise orchestration layer: not a chatbot and not a standalone tool, but a coordinated system of agents that runs the workflow and delivers real outcomes across the business. Resources:Follow Angela Strange on X: https://x.com/astrangeFollow David Haber on X: https://x.com/dhaberFollow Alex Immerman on X: https://x.com/aleximmFollow Seema Amble on X: https://x.com/seema_ambleRead more all of our 2026 Big IdeasPart 1: https://a16z.com/newsletter/big-ideas-2026-part-1Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.  Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ending Middleware Medicine with Healthcare Communication Orchestration On this episode, host Erica Olenski interviews Dr. Pete Stetson, Chief Medical Information Officer at TigerConnect and a longtime leader in digital health innovation. Drawing on decades of experience as both a physician and informatics expert, Dr. Pete makes the case for rethinking clinical communication through smarter orchestration. From eliminating “middleware” roles that drain clinicians to addressing tech sprawl with AI-driven solutions, this conversation explores what it really takes to build a less chaotic, more coordinated healthcare system. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

In this episode of The Bandwich Tapes, I reconnect with conductor and educator Aaron Kula, who shaped my summers in the Chautauqua Youth Orchestra at the Chautauqua Institution in New York in 1994 and 1995. We talk about what it means to trust young musicians with major repertoire, including the time we took on Stravinsky's The Rite of Spring, and what that experience taught me about preparation, accountability, and confidence. Aaron shares his philosophy for building ensemble culture: learning every student's name, holding individuals responsible while serving the collective, and making the rehearsal process both rigorous and engaging. We dig into how his multi-genre musical life, from classical training to folk and ethnic traditions, and his deep connection to Jewish music, shaped the way he hears rhythm, style, and culture inside the orchestra. Aaron also explains how conducting changes when moving from the concert stage to ballet, how tempo becomes a real-time collaboration with dancers, and why a conductor has to know when to lead, when to release, and when to stay out of the players' way. This conversation is equal parts music, mentorship, and reflection, and a reminder that the seeds teachers plant can continue to grow for decades. I'm grateful for the chance to say thank you, and for the lessons from those summers that still guide how I work with students and teams today.To learn more about Aaron, visit his website. Thank you for listening. If you have questions, feedback, or ideas for the show, please email me at brad@thebandwichtapes.com.

Join this episode of DMRadio to look back at 2025, a year defined by natural language automation, rapid upskilling, and intelligent orchestration across the enterprise. Host Eric Kavanagh interviews Binny Gill of Kognitos, John Munsell of Ingrain AI, and Peter Sprygada of Itential about how NLP-driven interfaces and coordinated automation changed the way people work. Hear what shifted, what scaled, and how organizations prepared their teams for an AI-powered future.

Stephen reads a recent blog from https://writings.stephenwolfram.com and then answers questions live from his viewers.Read the blog along with Stephen: https://writings.stephenwolfram.com/2025/11/whats-special-about-life-bulk-orchestration-and-the-rulial-ensemble-in-biology-and-beyondWatch the original livestream on YouTube: https://youtu.be/uzCPN63oBYA

"Your contracts are your source of truth. You should have a tool that can go through the contracts and help you understand the impact and make an assessment, all in one place." -Toby Laforest, Senior Director PMM - Market Insights and Solutions at Ironclad  Procurement leaders can no longer afford to wait for requests to land in their inbox. Facing regulatory change, market volatility, and growing demand for business partnership, some organizations are reimagining their procurement operating models and putting technology and process both front and center.  In this Art of Procurement podcast episode, Clare Cassano, Head of Procurement Strategy & Execution at Invesco, and Toby LaForest from Ironclad, share how Invesco tackled the shift from reactive service to proactive business enablement. They discuss the tough choices behind their technology stack, the reality of orchestration layers, and why "best fit" often wins over "best-in-class" for their unique needs. Listen in for practical lessons on realigning talent, building true contract intelligence, and future-proofing your procurement process with an eye toward AI and automation.  In this episode, Clare and Toby discuss: How AI-enabled contract management can deliver real-time contract insights, not just document storage Honest advice about choosing best fit tech over one-size-fits-all suites Future opportunities (and things to watch out for) related to agentic AI in procurement Links: Toby Laforest on LinkedIn Clare Cassano on LinkedIn From Reactive to Strategic: Transforming Procurement Through Contract Intelligence Contracting for Speed: How Orchestration Empowers Procurement Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube  

This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, John and Matt welcome Pedram Navid, Chief Dashboard Officer at Dagster Labs. During the conversation, Pedram shares his career evolution from consulting to his current role, where he oversees data, developer relations (DevRel), and marketing. The discussion delves into the synergies between DevRel and marketing, emphasizing the importance of understanding developers' learning preferences. Pedram explains data orchestration, highlighting its role in managing and automating data workflows. He also discusses Daxter's unique asset-based approach, which enhances visibility and control over data processes, catering to users from novices to experts, and so much more. Highlights from this week's conversation include:Pedram's Background and Journey in Data (0:47)Joining Dagster Labs (1:41)Synergies Between Teams (2:56)Developer Marketing Preferences (6:06)Bridging Technical Gaps (9:54)Understanding Data Orchestration (11:05)Dagster's Unique Features (16:07)The Future of Orchestration (18:09)Freeing Up Team Resources (20:30)Market Readiness of the Modern Data Stack (22:20)Career Journey into DevRel and Marketing (26:09)Understanding Technical Audiences (29:33)Building Trust Through Open Source (31:36)Understanding Vendor Lock-In (34:40)AI and Data Orchestration (36:11)Modern Data Stack Evolution (39:09)The Cost of AI Services (41:58)Differentiation Through Integration (44:13)Language and Frameworks in Orchestration (49:45)Future of Orchestration and Closing Thoughts (51:54)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Take a Network Break!  We start with a relative path traversal vulnerability in Fortinet’s FortiWeb.  We’ll move on to an acquisition by Palo Alto Networks, another hiccup from our friends at Cloudflare, some AI announcements by Itential and Gluware, and finish with first quarter 2026 fiscal results from Palo Alto Networks. AdSpot Sponsor: Itential  ... Read more »

Take a Network Break!  We start with a relative path traversal vulnerability in Fortinet’s FortiWeb.  We’ll move on to an acquisition by Palo Alto Networks, another hiccup from our friends at Cloudflare, some AI announcements by Itential and Gluware, and finish with first quarter 2026 fiscal results from Palo Alto Networks. AdSpot Sponsor: Itential  ... Read more »

Take a Network Break!  We start with a relative path traversal vulnerability in Fortinet’s FortiWeb.  We’ll move on to an acquisition by Palo Alto Networks, another hiccup from our friends at Cloudflare, some AI announcements by Itential and Gluware, and finish with first quarter 2026 fiscal results from Palo Alto Networks. AdSpot Sponsor: Itential  ... Read more »

Allen Thomas of Lynxis talks about two new products; demystifying AI; the biggest challenge & opportunity in intermodal; & why terminals need to work better.  IN THIS EPISODE WE DISCUSS:   [02.12] An introduction to Allen and Lynxis. "We have the tech, services and infrastructure to make terminals work better." [02.48] Why we need terminals to work better. [03.16] Why Union Pacific's proposed merger with Norfolk Southern is top of mind for the intermodal industry right now. [04.43] Why investment is a key area of opportunity for intermodal organizations, and how Lynxis is helping customers deliver on their returns. "People are looking to clarify how they're going to invest, and what that return is going to be. We're talking to our customers about their hopes and dreams for 2026… and we strive to help them execute and meet those commitments." [06.41] Allen's take on AI and where the industry is now, and why Lynxis is focused on machine learning and using AI to help streamline and reduce time to value. "We try to demystify the phrase 'artificial intelligence' – it's really software!" [09.58] Two new product announcements, and an overview of ORCA: software to optimize and orchestrate terminal operations. [11.18] The ORCA brand, and how Lynxis developed the name. "It's the killer app that no one else has." "Orchestration is a key differentiator for Lynxis, and it will be for the terminal operators that implement it." [12.38] How terminal evolution has historically been driven through complex custom software applications, why orgainzations need to move away from this time-consuming, expensive, and inflexible approach, and what makes ORCA different. "It's optimization of workflows via configuration, not software coding… Each one is a snowflake, it's unique." [16.51] An overview of enVision, Lynxis' new computer vision system. [19.12] How enVision will drive higher inventory accuracy for organizations and create real impact. "Our vision is to have eyes on every transaction." [21.08] The impact these innovations will make for the industry. "Too often, people want to optimize processes before they have a secure grasp on the data." [23.14] Allen's biggest highlight from IANA 2025. "Process automation in existing facilities is the next right step." RESOURCES AND LINKS MENTIONED:   Head over to Lynxis' website now to find out more and discover how they could help you too. You can also connect with Lynxis and keep up to date with the latest over on LinkedIn, or you can connect with Allen on LinkedIn. If you enjoyed this episode and want to hear more from Lynxis, you'll love: 458: Demystifying Industry Buzzwords and Innovating Intermodal, with Lynxis 448: Bridging the Gap Between Operations and Technology, with Buckeye Mountain 424: Orchestrate and Optimize Your Terminal Operations, with Lynxis Check out our other podcasts HERE.

The PlayAI Network is the orchestration network and interface for users and developers for seamless communication and coordination between tools, agents, applications, and data sources. Acting as the backbone of the agentic ecosystem, it addresses the challenges of fragmented AI systems by creating an interconnected environment where tasks can flow seamlessly across different platforms and contexts. Why you should listen PlayAI offers an orchestration layer designed to break down the silos between disparate applications, tools, and data sources. Rather than having individual AI agents, apps, and services working in isolation, PlayAI's platform connects them in a unified workflow. For example, it can trigger actions across calendars, messaging, cloud storage or business tools based on one prompt. This means enterprises can automate multi-step tasks spanning different systems with far less manual effort, helping boost productivity and reduce friction between tools. From a technical and commercial standpoint, PlayAI deploys its infrastructure as a modular stack built on decentralised frameworks: it uses node infrastructure ("Oasis Nodes"), a native token ($PLAI) to power the economy, and an SDK/API layer to enable integrations for developers and enterprises. What this means for business: you have a platform where automation, AI-agent orchestration, and workflow integration are baked into a single system — useful if you're looking to move beyond one-off automation scripts to a scalable, cross-tool orchestration backbone. Supporting links Stabull Finance PlayAI Andy on Twitter  Brave New Coin on Twitter Brave New Coin If you enjoyed the show please subscribe to the Crypto Conversation and give us a 5-star rating and a positive review in whatever podcast app you are using.  

Today, we're joined by Robin Braun, VP of AI business development for hybrid cloud at HPE, and Luke Norris, co-founder and CEO of Kamiwaza, to discuss how AI systems can be used to automate complex workflows and unlock value from legacy enterprise data. Robin and Luke detail high-impact use cases from HPE and Kamiwaza's collaboration on an “Agentic Smart City” project for Vail, Colorado, including remediation and automation of website accessibility for 508 compliance, digitization and understanding of deed restrictions, and combining contextual information with camera feeds for fire detection and risk assessment. Additionally, we discuss the role of private cloud infrastructure in overcoming challenges like cost, data privacy, and compliance. Robin and Luke also share their lessons learned, including the importance of fresh data, and the value of a "mud puddle by mud puddle" approach in achieving practical AI wins. The complete show notes for this episode can be found at https://twimlai.com/go/755.

Are we underestimating how the agentic world is impacting cybersecurity? We spoke to Mohan Kumar, who did production security at Box for a deep dive into the threats of true autonomous AI agents.The conversation moves beyond simple LLM applications (like chatbots) to the new world of dynamic, goal-driven agents that can take autonomous actions. Mohan took us through why this shift introduces a new class of threats we aren't prepared for, such as agents developing new, unmonitorable communication methods ("Jibber-link" mode).Mohan shared his top three security threats for AI agents in production:Memory Poisoning: How an agent's trusted memory (long-term, short-term, or entity memory) can be corrupted via indirect prompt injection, altering its core decisions.Tool Misuse: The risk of agents connecting to rogue tools or MCP servers, or having their legitimate tools (like a calendar) exploited for data exfiltration.Privilege Compromise: The critical need to enforce least-privilege on agents that can shift roles and identities, often through misconfiguration.Guest Socials -⁠ ⁠⁠⁠⁠⁠⁠⁠⁠Mohan's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions asked:(00:00) Introduction(01:30) Who is Mohan Kumar? (Production Security at Box)(03:30) LLM Application vs. AI Agent: What's the Difference?(06:50) "We are totally underestimating" AI agent threats(07:45) Software 3.0: When Prompts Become the New Software(08:20) The "Jibber-link" Threat: Agents Ditching Human Language(10:45) The Top 3 AI Agent Security Threats(11:10) Threat 1: Memory Poisoning & Context Manipulation(14:00) Threat 2: Tool Misuse (e.g., exploiting a calendar tool)(16:50) Threat 3: Privilege Compromise (Least Privilege for Agents)(18:20) How Do You Monitor & Audit Autonomous Agents?(20:30) The Need for "Observer" Agents(24:45) The 6 Components of an AI Agent Architecture(27:00) Threat Modeling: Using CSA's MAESTRO Framework(31:20) Are Leaks Only from Open Source Models or Closed (OpenAI, Claude) Too?(34:10) The "Grandma Trick": Any Model is Susceptible(38:15) Where is AI Agent Security Evolving? (Orchestration, Data, Interface)(42:00) Fun Questions: Hacking MCPs, Skydiving & Risk, BiryaniResources mentioned during the episode:Mohan's Udemy Course -AI Security Bootcamp: LLM Hacking Basics Andre Karpathy's "Software 3.0" Concept "Jibber-link Mode" VideoCrewAI FrameworkOWASP Top 10 for LLM Applications Cloud Security Alliance (CSA) MAESTRO Framework