Podcasts about orchestrators

Points of Interest0:01 – 01:27 – Introduction: Marcel welcomes returning guest Vito Peleg, CEO of Atarim, and frames the conversation around how agencies can streamline creative collaboration and leverage AI to improve delivery efficiency and profitability.01:28 – 03:27 – From Touring Musician to Collaboration Software Founder: Vito shares his backstory as a touring musician building websites from a van, then running a web agency, and how constant friction getting clients to give timely, clear feedback led to the first version of Atarim as a WordPress plugin.03:27 – 06:46 – The True Cost of Collaboration on Delivery Timelines: Marcel highlights how reducing delivery time by 50–70% transforms profit and cash flow, and Vito reframes the issue by showing that collaboration with clients and stakeholders routinely increases project timelines by 500–700%.06:46 – 10:06 – Why Text-Based Feedback Breaks Creative Work: Vito explains that human feedback is naturally three to five words and visual, but agencies force clients into long, text-heavy descriptions via email, docs, and tickets, creating procrastination, dead time, and constant misalignment.08:39 – 10:06 – Vague Feedback and Week-Long Clarification Cycles: Citing Atarim's data, Vito notes that 68% of creative comments written in text are too vague to action on first pass, leading to clarification cycles that typically add a full week to even simple tasks like updating a slide.10:12 – 15:07 – Building Momentum and “Two Days and a Weekend”: In response to Marcel's question about where agencies lose the most efficiency, Vito argues the biggest gap is at project start and introduces the “two days and a weekend” framing plus fast, simple deliverables (like a sitemap) to create momentum and urgency.15:15 – 17:28 – Getting Imperfect Work in Front of Clients Early: Marcel and Vito discuss reframing early deliverables explicitly as rough first passes so clients expect to react rather than receive perfection, reducing sunk-cost risk and speeding up alignment on direction.17:28 – 24:49 – How AI Is Compressing Build Time and Changing UI: Vito describes the evolution from hand-coded sites to drag-and-drop builders and now prompt-driven interfaces, arguing that AI will shrink creation time so dramatically that collaboration will become an even larger relative drag on projects.22:29 – 25:56 – The Future of Figma, Builders, and Dynamic Interfaces: Vito predicts that the traditional Figma-to-dev pipeline will erode as tools let teams go from prompt to production UI, while Marcel adds a Google perspective on a future where AI dynamically renders interfaces tailored to each user.30:37 – 37:42 – Agencies as Orchestrators of AI Agents, Not Just Humans: Vito outlines a future where agency owners orchestrate a team of AI agents instead of being the “talent,” potentially pricing work by tokens instead of dev hours, and using agents to automate follow-ups, support, and clarification cycles like Atarim's Claro.39:14 – 45:19 – Atarim's Agentic Creative Team Vision and Next Steps: Vito explains how Atarim is building a multi-human, multi-agent collaboration environment where specialized AI teammates (design, accessibility, performance, PM) work together in threads, and invites listeners to explore the early-access experience at Atarim.io.Show NotesConnect with Vito via LinkedInWebsite: Atarim.ioLove the PodcastLeave us a review here. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Intro topic: Asymmetric ReturnsNews/Links:NanoChat by Andrej Karpathyhttps://github.com/karpathy/nanochatPydantic AIhttps://www.marktechpost.com/2025/03/25/pydanticai-advancing-generative-ai-agent-development-through-intelligent-framework-design/1000th Starlink this yearhttps://spaceflightnow.com/2025/05/16/live-coverage-spacex-plans-morning-launch-of-starlink-satellites-from-california/ChatGPT Apps SDKhttps://openai.com/index/introducing-apps-in-chatgpt/Book of the ShowPatrickThe Will of the Many by James Islingtonhttps://amzn.to/43IfU8QJasonInterview with DHH (Founder of Ruby on Rails)https://www.youtube.com/watch?v=vagyIcmIGOQPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrickFactoriohttps://www.factorio.com/ Jasonnip.io Topic: Workflow OrchestratorsWhyBatch jobs (embarrassingly parallel)Long-running tasks (e.g. transcoding video)Checkpointing/resumingHowMessage QueuesContainerizationWorker Pools & AutoscalingHistory & BackfillSteps to run workflows:Containerize the workflow definition and send to the cloudContainerize all the individual tasksSubmit job(s)ExamplesAirflowLegacy but dominantDagsterGreat UX for python developersTemporal: https://temporal.io/The new hotnessRayLow-level but very powerfulKubeflowDesigned for ML workflows, integrated dashboard ★ Support this podcast on Patreon ★

This episode explores how leadership has shifted in the AI era. Leaders who integrate human empathy with AI-driven insight — by asking sharper questions, modeling scenarios, and spotting blind spots — will outpace everyone else.Host: Paul FalavolitoConnect with me on your favorite platform: Facebook, Twitter, Instagram, TikTok, LinkedIn, Substack, BlueSky, Threads, DiscordFree Leadership Resources: www.paulfalavolito.comBooks by Paul FalavolitoThe 7 Minute Leadership Handbook: bit.ly/48J8zFGThe Leadership Academy: https://bit.ly/4lnT1PfThe 7 Minute Leadership Survival Guide: https://bit.ly/4ij0g8yOfficial 7 Minute Leadership MerchGrab exclusive gear and more: linktr.ee/paulfalavolitoPartners & DiscountsFlying Eyes Optics – Best aviator sunglasses on the marketGet 10% off with code: PFAVShop now: flyingeyesoptics.comGatsby Shoes – Dress sneakers built for leaders on the moveUse my affiliate link for 10% off: Gatsby ShoesSubscribe & Listen to My Podcasts:The 7 Minute Leadership Podcast1 PAPA FOXTROT – General Aviation PodcastThe DailyPfav

The Circle of Interval Magicians https://www.skool.com/circle-of-interval-magicians/about?ref=bfbebbc3d8d04a84806842a78f42963a My mission is to help composers break free from generic progressions and write music that truly stands out. You don't need more theory, you need more MAGIC! Grab my free guide: "5 Spells Every Composer Needs" https://musicintervaltheory.academy/spells/

Sara Nay is the CEO of Duct Tape Marketing and author of Unchained: Breaking Free from Broken Marketing Models. With over 15 years of experience helping small businesses grow, Sara returns to discuss the powerful concept of owning your marketing strategy. In this episode, she unpacks the shift away from outdated agency models toward building lean, AI-enabled systems and internal capabilities. Learn how to take control, simplify your marketing, and build lasting assets that fuel growth. Today we discussed: 00:00 Introduction 00:52 Introducing Sara Nay 03:30 Costs and Risks of Outsourcing Marketing 06:31 Simplifying Marketing Through Focus and Strategy 08:29 Importance of Strategy Over Tactics 10:39 Evolving Marketing Roles: From Doers to Orchestrators 14:37 Adapting to AI: Career Mindset and Skill Development 16:34 Marketing Execution as an Asset: Owning vs Renting 19:27 The Role and Evolution of the Fractional CMO Rate, Review, & Follow If you liked this episode, please rate and review the show. Let us know what you loved most about the episode. Struggling with strategy? Unlock your free AI-powered prompts now and start building a winning strategy today!

Understanding Agentic AI with Rita Castillo In this episode of the podcast, we dive into the fascinating world of Agentic AI with Rita Castillo, VP, Design – AI Platform Experiences. Rita illuminates how AI is becoming seamlessly woven into our daily routines, elevating automation and tackling intricate challenges. Rita deconstructs the shift from deterministic workflows to agentic systems, which can independently manage tasks while upholding ethical and security standards. We uncover the capabilities of Now Assist, the orchestrator, and specialized AI agents that unite to deliver tailored, effective, and reliable solutions. Rita also delves into the future potential of AI to unleash human creativity and propel business metamorphosis. Check out this episode for a profound dialogue on the transformative influence of AI in our professional and personal spheres. Guest - Rita Castillo, VP, Design – AI Platform Experiences Host - Bobby Brill 00:00 Introduction and Guest Welcome 03:15 Introduction to Agentic AI 05:11 Examples and Applications of Agentic AI 08:12 Autonomy in AI Systems 11:12 Deterministic Workflows and AI Learning 13:16 AI Agents and Orchestrators 17:56 Future of Agentic AI and Ethical Considerations 23:56 Large Scale Applications and Business Transformation 26:37 Conclusion and Final Thoughts ServiceNow Training and Certification: http://www.servicenow.com/services/training-and-certification.html ServiceNow Community: https://community.servicenow.com/community For general information about ServiceNow, visit: http://www.servicenow.comSee omnystudio.com/listener for privacy information.

Understanding Agentic AI with Rita Castillo In this episode of the podcast, we dive into the fascinating world of Agentic AI with Rita Castillo, VP, Design – AI Platform Experiences. Rita illuminates how AI is becoming seamlessly woven into our daily routines, elevating automation and tackling intricate challenges. Rita deconstructs the shift from deterministic workflows to agentic systems, which can independently manage tasks while upholding ethical and security standards. We uncover the capabilities of Now Assist, the orchestrator, and specialized AI agents that unite to deliver tailored, effective, and reliable solutions. Rita also delves into the future potential of AI to unleash human creativity and propel business metamorphosis. Check out this episode for a profound dialogue on the transformative influence of AI in our professional and personal spheres. Guest - Rita Castillo, VP, Design – AI Platform Experiences Host - Bobby Brill 00:00 Introduction and Guest Welcome 03:15 Introduction to Agentic AI 05:11 Examples and Applications of Agentic AI 08:12 Autonomy in AI Systems 11:12 Deterministic Workflows and AI Learning 13:16 AI Agents and Orchestrators 17:56 Future of Agentic AI and Ethical Considerations 23:56 Large Scale Applications and Business Transformation 26:37 Conclusion and Final Thoughts ServiceNow Training and Certification: http://www.servicenow.com/services/training-and-certification.html ServiceNow Community: https://community.servicenow.com/community For general information about ServiceNow, visit: http://www.servicenow.comSee omnystudio.com/listener for privacy information.

America faces orchestrated chaos as riots in Los Angeles expose the refusal of California leadership to protect citizens and law enforcement. What started as protests against ICE operations has devolved into full-scale rioting with evidence of pre-positioned supplies and planned coordination.• Chinese nationals caught smuggling dangerous biological materials through University of Michigan• University officials under scrutiny after multiple smuggling incidents involving Wuhan connections• RFK Jr. fires entire Vaccine Advisory Council, removing pharmaceutical industry influence• Simone Biles faces backlash after attacking Riley Gaines over transgender athletes in women's sports• Elon Musk and President Trump's public spat demonstrates real-time news happening without media filters• LA riots spreading to other major cities ahead of planned "No Kings Day" demonstrations• California leadership actively opposing National Guard deployment to protect federal officers• Clear evidence of coordination behind riots with pre-positioned supplies and fundingKeep moving, keep shooting.Support the showDON'T WAIT FOR THE NEXT EMERGENCY, PLUS, SAVE 15%: https://www.twc.health/elsa#ifounditonamazon https://a.co/ekT4dNOTRY AUDIBLE PLUS: https://amzn.to/3vb6Rw3Elsa's Books: https://www.amazon.com/~/e/B01E1VFRFQDesign Like A Pro: https://canva.7eqqol.net/xg6Nv...

This episode is brought to you by https://www.ElevateOS.com —the only all-in-one community operating system.ElevateOS transforms property management, combining resident engagement, reservations, rent payments, maintenance, and concierge services into a single super app. It also uniquely integrates access control, intercoms, package lockers, and thermostats, eliminating app fatigue and redefining modern apartment living.Visit https://www.ElevateOS.com/MMN for a free demo and see how they can help you level up your operations.We're not preparing for the future.We're living in it.In today's episode of Multifamily Collective, we build on yesterday's conversation about agentic workforces and agentic consumers—where AI agents execute strategy, make decisions, and negotiate outcomes. Now the conversation turns to us—the humans.The session title I'm working on?“From Operators to Orchestrators: Reskilling Humans for the Agentic Era.”Because here's the deal:You're no longer the one doing the work.You're the one orchestrating it.Your job isn't to outwork the agent—it's to guide the agent, to train it, to set the parameters for your own AI-driven execution engine. But that shift won't happen on accident.It takes upskilling.It takes rethinking your role.It takes knowing what to focus on right now.The agentic workforce is already reshaping multifamily—and the question isn't when, it's how fast.So what are you doing to get ready?

Andrew Rabinovich, VP and Head of AI and Machine Learning at UpWork, discusses how artificial intelligence is transforming freelance work into a human-machine partnership that amplifies rather than replaces talent. He also discusses job security in the age of AI, and ways the freelance economy is already responding to its opportunities and challenges. Key Takeaways:  Why 2025 is predicted to be "the year of agents"  Ways that AI agents will turn workers into managers who are managing the machines How human-centered AI focuses on amplifying human capabilities rather than replacing them Why the missing piece in AI development is creating natural interfaces between humans and machines Guest Bio: Andrew Rabinovich is the VP and Head of AI and Machine Learning at UpWork, and a prominent figure in the field of computer vision and machine learning. He is known for his work in deep learning, particularly in applications such as object recognition, scene understanding, augmented reality, and multitask learning. Rabinovich has held influential roles in both academia and industry, contributing to cutting-edge research and technology development at Google and Magic Leap. In 2020, he founded Headroom, an AI video collaboration platform, which was acquired in 2023. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

Today we're talking with accomplished composer, Andrew Morgan Smith who has successfully navigated the world of both film and concert composition. We are diving into the technical details about work flow, working with orchestrators, scoring sessions that span the globe, and keeping up with latest technological innovations in the music world. https://www.andrewmorgansmith.com/

AI agents are one of the biggest enterprise topics 2025, but where does adoption stand? In this conversation, KPMG's Swami Chandrasekaran breaks down the practical realities of implementing agents in large organizations. From the state of enterprise readiness to frameworks like TACO (Taskers, Automators, Collaborators, Orchestrators), this discussion covers what enterprises need to consider before deploying agents at scale. Brought to you by: KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions. Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score. The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Subscribe to the newsletter: https://aidailybrief.beehiiv.com/ Join our Discord: https://bit.ly/aibreakdown

Send us a textNate Lee discusses his transition from a CISO role to fractional CISO work, emphasizing the importance of variety and exposure in his career. He delves into the rise of AI, particularly large language models (LLMs), and the associated security concerns, including prompt injection risks. Nate highlights the critical role of orchestrators in managing AI interactions and the need for security practitioners to adapt to the evolving landscape. He shares insights from his 20 years in cybersecurity and offers recommendations for practitioners to engage with AI responsibly and effectively.TakeawaysNate transitioned to fractional CISO work for variety and exposure.Prompt injection is a major vulnerability in LLM systems.Orchestrators are essential for managing AI interactions securely.Security practitioners must understand how LLMs work to mitigate risks.Nate emphasizes the importance of human oversight in AI systems.Link to Nate's research with the Cloud Security Alliance.The future of cloud security.Simplify cloud security with Prisma Cloud, the Code to Cloud platform powered by Precision AI.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration

Reflections on Orchestrators and Orchestration