Broadcast Media: The Inside Track

🎙️ Everyone's talking about AI agents. Almost nobody's talking about the quiet standard that actually lets them do anything. This episode is about that standard — the Model Context Protocol — and why it matters for broadcast.

🔌 In this episode:

• What MCP actually is (the "USB-C for AI"), in plain English
• Its rise: from one company's idea to industry infrastructure in eighteen months
• The off-the-shelf connectors already out there — and how they map onto broadcast systems
• Agent workflows: describe the outcome, let the AI wire the tools together
• Where it bites first for broadcasters: the archive, compliance, the newsroom, ad ops
• Tools, skills, subagents and evals — how to keep agents maintainable
• The honest risks, and how to adopt with discipline

🧠 The takeaway: the data and the craft were always the moat. MCP is the bridge that finally lets AI reach it.

🔗 Listen & follow:www.ancast.co.uk

Broadcast Media: The Inside Track is hosted by Ben Anchor of Ancast Intelligence — exploring how AI actually lands in broadcast. Augmentation, not hype.

#BroadcastMedia #ArtificialIntelligence #MCP #ModelContextProtocol #AIAgents #MediaTech #PodTech #Broadcasting

🎙️ A special field edition of Broadcast Media: The Inside Track, recorded live on the show floor at MPTS 2026, The Media Production and Technology Show at Olympia London.

🔍 Two days. One diagnostic question. Who in broadcast is actually developing bespoke AI models?

In this episode Ben Anchor takes you to Olympia and shares two on-floor conversations with industry colleagues, captured between the stands and the theatres at the tenth anniversary edition of MPTS.

🎤 In conversation with Vinay Gupta (https://www.linkedin.com/in/vinay-k-gupta/)

Ten years in broadcast, a veteran of multiple product launches and an experienced technologist. Vinay gives a candid read on where broadcast AI actually sits in 2026: the cautious observation phase, the dominance of vendor product suites, the two-to-three-year window before broadcasters start building proprietary intelligence on their own data, and why the cloud adoption journey is the closest historical parallel. He makes the case that data strategy and classification are the unglamorous preconditions that determine who wins the next phase.

🎬 In conversation with Shelly Chambers (https://www.linkedin.com/in/s-j-chambers/)

Moving from media into tech, fresh from the new Creator Hub at MPTS. Shelly brings the creator economy lens: why creators are actively rejecting polished AI-in-content and returning to rawness and storytelling, where AI is genuinely useful (marketing, scripting support, editing assistance, social design), and the workforce shift that almost no one is talking about — prompting as the new baseline literacy across every role, the way Microsoft Office became assumed a decade ago.

📊 Between them, two perspectives that frame the state of broadcast AI in May 2026: the broadcaster's cautious view of model ownership and the creator economy's pragmatic view of AI in the workflow.

🎯 Honest, unedited, recorded on the floor at Olympia. The shiny gives way to the real.

📍 MPTS 2026 — The Grand Hall, Olympia London. Tenth anniversary edition. 13–14 May 2026.

🎧 Listen on your favourite podcast platform, check out more info at www.ancast.co.uk

#BroadcastAI #MediaTech #MPTS2026 #BespokeAI #BroadcastTechnology #CreatorEconomy #DataStrategy #PromptLiteracy #Ancast #AIStrategy #FieldRecording #BroadcastInnovation #ChangeManagement

🎙️ Episode preview: Ben heads to MPTS 2026 at Olympia London with a single diagnostic question that cuts through three years of vendor noise and AI fatigue.

🔍 The question? Who in broadcast is actually developing bespoke models. Not buying tools. Not running pilots. Building.

In this preview episode, Ben and AI co-host RaIAna set the scene for what's happening on the MPTS show floor and dig into the distinction that actually matters in broadcast AI right now.

What you'll hear:

• Why "we're doing AI" is the most useless sentence in broadcast in 2026
• The three things that genuinely qualify as a bespoke model — and the wrapper AI that doesn't
• Why nowcasting is broadcast-specific and can't be bought off the shelf
• The exact signal Ben is listening for in every conversation tomorrow
• Where FAST channels sit on the data science readiness curve
• Why the answer to "who built it" tells you more about an AI strategy than any vendor demo

🎯 The follow-up: in two weeks Ancast drops the field report from MPTS. What was heard, who's building, and what it tells us about where broadcast AI actually stands in Q2 2026.

📍 MPTS 2026 runs 13–14 May at The Grand Hall, Olympia London. If you're attending, find Ben on the floor and bring an answer.

🎧 Listen on Spotify, Apple Podcasts and YouTube.

#BroadcastAI #MediaTech #MPTS2026 #Nowcasting #FAST #AIStrategy #BroadcastTechnology #Ancast #BespokeAI #BroadcastTransformation

🎙️ Special Personal Episode | Broadcast Media: The Inside Track

Four months into twenty twenty-six. One vision board. Two prophecies that held. A handful of people quietly holding the year up underneath the water.

This is the inside-the-inside-track episode. Less framework, more honesty. Ben sits down with RaIAna to walk through what has actually happened since the fifteenth of January, when he drew a four-quadrant vision board on a roll of paper at the kitchen table and underlined the line at the bottom twice.

In twenty twenty-six I am building a life that feels good deep within myself.

🧊 The Iceberg

Everyone sees the slide-ware. The webinar. The podcast. The LinkedIn post. That is the ten percent above the waterline. This episode is about the ninety percent underneath.

🎯 What you will hear

🗺️ The vision board itself, four quadrants, and the lines that have done the most work🌅 January, eight simultaneous fronts, and the strategic risk of running in too many directions at once🐉 The Chinese New Year prophecy, and why the eighteenth of February turned out to be the moment🎤 The OTTRED Artificial Intelligence in Media Think Tank webinar, and the audience it finally reached🤝 The three think tank leaders, Adriaan, Maria and Karel, whose goodwill steers shaped the framework🔧 The new technology partnership with MetaIP, and what aligned partnership actually feels like🌒 March, where the buzz fades and the iceberg matters most📐 April, where the foundations get poured underneath the surface🎙️ The voice agent strand, and how the two product lines have started to feed each other💬 The closing thank-you to everyone who is part of the iceberg under this year

🎙️ Featuring

🗣️ Ben Anchor, Founder, Ancast IntelligenceTwenty-five years in broadcast. UC Berkeley Applied Artificial Intelligence. Nowcasting methodology for broadcast scheduling. Voice agent architecture. Change management for artificial intelligence in media operations.

🤖 RaIAna, Artificial Intelligence Co-hostThe sharper questions, the gentler interrogations, the prompt to say the things that are usually left unsaid.

🎧 Perfect for

📺 Founders, consultants and intrapreneurs in broadcast and streaming🎯 Anyone wearing twelve hats and wondering quietly if any of it is working💡 Leaders thinking about partnerships, alignment, and the difference between pitching and being invited🧭 People building something new in artificial intelligence and media, and trying to do it with intention

🔗 Listen, follow, share

🌐 More on the work: ancast.co.uk

#BroadcastMedia #BroadcastAI #Nowcasting #AIStrategy #FAST #StreamingMedia #OTTRED #AncastIntelligence #VisionBoard #Founders #Consulting #Iceberg #AIinMedia #TheInsideTrack #MetaIP #PodcastForFounders #BroadcastInnovation #AIVoiceAgents #ChangeManagement #IndustryLeaders #BehindTheScenes #BuildInPublic #Twenty TwentySix

🚀 What does it really take to build and launch a brand new Smart TV product on a brand new national streaming platform — from the very first planning workshop to the moment millions of viewers hit play for the first time?

In this bonus deep-dive episode, ChAIse & AIva go behind the scenes on one of the most ambitious and high-stakes technology delivery challenges in modern broadcasting. And here's the thing that might surprise you — the hardest part was never the technology.

🚂 Picture this: You're tasked with building a brand new ultra-modern transit system for a major city. But you have to perfectly connect several legacy train lines built decades apart, using completely different gauges of track — and you cannot stop the trains. Not for a single minute. Every commuter still needs to reach their destination on time, every day, throughout the entire construction.

That's what delivering a unified national streaming platform actually feels like from the inside.

This episode traces the full arc — from audacious vision to go-live day and beyond. ChAIse & AIva unpack why the most complex delivery challenges of the digital age aren't solved by the smartest engineers in a room. They're solved by governance, discipline, alignment, and something the team on this project called "operational empathy."

🔍 In this ~18 minute deep dive, we get into:

🔹 Why throwing engineers at the problem first is a guaranteed recipe for expensive, public failure🔹 How months of workshops and cross-party alignment sessions became the true foundation of the platform — before a single line of code was written🔹 What a Target Operating Model actually is — and why without one, every incident becomes a blame game between organisations🔹 How the delivery was broken into eight highly coordinated workstreams — and why strict coordination between them was just as important as the work itself🔹 The invisible but critical work of dependency mapping — and how it prevented potential disasters before they happened🔹 The bold decision to execute a platform-wide code freeze ahead of a major national live event — and why the entire team embraced it rather than resented it🔹 The military-level discipline of go-live readiness — gating routines, staged environment releases, pre-flight checks, and a promote-to-live tech plan that left nothing to chance🔹 Why launch day is just the beginning — and how a cross-party incident management system was built to keep the platform running flawlessly long after the cameras stopped rolling🔹 What it means to engineer operational empathy — connecting organisations so deeply that everyone sees the same data, speaks the same language, and resolves problems together as one unified team

🤔 And we leave you with this thought to carry into your day:

As flawless, unified, multi-provider streaming becomes the absolute baseline — as viewers demand perfection every single time they hit play — will the walls between the world's major streaming platforms eventually have to come down? Will they all be forced to adopt this same blueprint of shared infrastructure and operational empathy just to keep us watching?

Something to think about. 👀

Whether you're a delivery professional, broadcast technologist, media executive, or simply someone who hits play and expects it to just work — this episode will permanently shift how you see the invisible infrastructure holding modern media together.

🎧 Available on all major podcast platforms

#BroadcastTech #SmartTV #StreamingPlatform #MediaInnovation #ProjectDelivery #TechLeadership #DigitalTransformation #FutureOfMedia #OperationalExcellence #PlatformLaunch #TargetOperatingModel #GoLive #ReinventingBroadcast #ChangingLandscapes #AIinBroadcast #MediaTech #DeliveryLeadership #BroadcastConsulting #Ancast #ChAIse #AIva #OperationalEmpathy #PlatformEngineering #NationalStreaming

🚀 Inside this episode:

🎬 The evolution of broadcast

From hardware-based studios and manual workflows to cloud-native, software-defined infrastructure — and why this shift is unlocking massive efficiencies.

☁️ Cloud production is changing everything

How broadcasters can now spin up full production environments in minutes (not months) using “deploy and destroy” infrastructure models.

📺 The fragmentation of audiences

Why traditional TV is losing dominance — and how YouTube, social platforms, and creator ecosystems are reshaping viewer behaviour.

📱 Short-form, vertical & always-on consumption

How mobile-first viewing, vertical video, and snackable content are redefining engagement — especially for younger audiences.

💰 New monetisation models

From linear ads to programmatic, social distribution, and multi-platform revenue strategies — every piece of content now has multiple commercial lives.

⚙️ Workflow orchestration & flexibility

Why the future of broadcast isn’t about single vendors — but modular, interchangeable ecosystems that can evolve in real time.

🌐 Multi-cloud & infrastructure strategy

How broadcasters are leveraging AWS, Google Cloud, Oracle and others — while staying platform-agnostic to optimise cost and performance.

🎯 AI in action (real use cases)

• Automated highlight clipping from live content

• Real-time sports analytics and insights

• AI-driven content distribution to social platforms

• Enhancing low-cost “grassroots” content into premium experiences

📡 Resilience & reliability at scale

How innovations like intelligent CDN switching are solving real-world issues like outages and stream interruptions.

💡 Key takeaway:

Broadcast is no longer just about delivering content — it’s about orchestrating intelligent, flexible, and monetisable media ecosystems powered by AI.

The winners in this space will be those who can adapt fast, integrate seamlessly, and meet audiences wherever they are — across platforms, formats, and moments.

👤 About the guest

Padraig O’Donovan is the founder of Layer Cake, a company specialising in consultancy, engineering, and product development for the media and sports industries. With deep experience across broadcast transformation, measurement systems, and scalable media platforms, he’s at the forefront of building the next generation of broadcast infrastructure.

🎙️ Reinventing Broadcast explores how AI, content, and technology are reshaping the media landscape — featuring conversations with industry leaders, innovators, and builders.

🔗 Connect & explore more

Padraig is the founder of Layercake and can be found on LinkedIn:  https://www.linkedin.com/company/layercakesydney/

Follow Ancast Intelligence more episodes on AI, media innovation, and the future of content.

Visit: ancast.co.uk

📢 Hashtags

#Broadcast #Streaming #AI #MediaTech #CloudComputing #FutureOfMedia #ContentCreation #OTT #CTV #DigitalTransformation #SportsTech #AIinMedia #VideoStreaming #Innovation #TechPodcast

🎂 Episode thirty-five lands on a birthday — and rather than let that pass quietly, Ben and AI co-host RaIAna use it as a reason to go all the way back to the beginning.

This is the origin story behind Broadcast Media: The Inside Track. Ben Anchor — eighteen year broadcast veteran, UC Berkeley AI graduate, and founder of Ancast Intelligence — traces the through-line from a curious kid in Manchester reverse-engineering scrap appliances, to designing real-time AI scheduling systems for the future of broadcast.

What you'll hear in this episode:

🎮 The Amstrad CPC464 moment — writing code at age eight just to see what was possible📼 The VCR cue dot hack — editing out adverts from live broadcasts before anyone called it automation🎧 VJing, Eboman, and the Prodigy concert that changed everything📡 Cisco exam, no passport, dial-up internet, and an 86% pass📺 ESPN, live Premier League playout, and the birth of Ancast✈️ Hong Kong, Turner APAC, and the first major international consulting engagement🏛️ Channel 4, EveryoneTV, and twenty-five years of broadcast transformation🤖 UC Berkeley, the AI pivot, and where nowcasting fits into all of it

The big theme running underneath everything: technology is never the hard part. The hard part is the human system around it — the governance, the trust, the change management. That's true whether you're running a VHS recorder in the nineties or deploying a real-time AI scheduling system in two thousand and twenty-five.

If you've been listening to this series and ever wondered what shapes Ben's perspective on AI in broadcast, this is the episode that answers that question.

🎙️ Hosted by Ben Anchor and AI co-host RaIAna📍 Ancast Intelligence — broadcast AI consulting, nowcasting strategy, AI Discovery Sprints

www.ancast.co.uk

#BroadcastAI #AIinBroadcast #BroadcastMedia #FAST #Nowcasting #AIStrategy #BroadcastConsulting #AncastIntelligence #MediaTech #OTT #StreamingTV #Podcast

🎙️ The Anthropic Stack: Claude, Code & the SaaSpocalypse

In late January 2026, a single product announcement wiped roughly $285 billion from global markets in one session. Traders called it the SaaSpocalypse. Thomson Reuters & RELX dropped. But was the panic justified — or an overreaction to a research preview most knowledge workers will never configure?

Ben Anchor and AI co-host RaIAna cut through the noise to properly understand what Anthropic is building, why it matters, and what broadcast and media professionals should actually take from it. 🔍

🧠 What we cover:

🏛️ The founding story — why a group of OpenAI researchers left to build a safety-first AI company, and why that philosophical difference wins in regulated enterprise markets

⚡ The three-layer Anthropic stack — Claude for thinking, Claude Code for autonomous execution, and Cowork as the emerging orchestration layer

📱 Claude Code's new remote control feature — run live terminal sessions from your phone or any device

🏢 Who Anthropic's enterprise customers really are — and why Constitutional AI is a commercial differentiator in sectors like legal, finance, and government

⚖️ The Thomson Reuters CoCounsel case — building on the very technology perceived as the threat to their business

🏈 The Super Bowl ad — what an $8M "no ads ever" promise actually signals as a governance commitment

🎓 Anthropic's free course catalogue — practical AI fluency for teams who need to move fast

🎧 Plus — how Ben uses Claude and Claude Code day to day for podcast scripting, document analysis, and N8N workflow automation

💡 If you're trying to make sense of where Anthropic sits, what differentiates Claude from the field, and how to build AI competency without chasing every market panic — this episode is your grounding.

🔗 Also available on:🍎 Apple Podcasts▶️ YouTube

#BroadcastMedia #AI #Anthropic #Claude #ClaudeCode #AIStrategy #BroadcastTechnology #MediaIndustry #EnterpriseAI #FutureOfWork #AITools #SaaS #TechNews #Podcast #InsideTrack #ArtificialIntelligence #WorkflowAutomation #BroadcastIndustry #AncastIntelligence #AITransformation

🎙️ Episode 33 | Broadcast Media: The Inside Track

In this episode, we go deeper into nowcasting than ever before — moving well beyond the concept into practical, market-ready application for broadcasters and streamers.

What started as an academic framework during Ben's UC Berkeley AI Strategy programme has evolved into something far more powerful. By mapping nowcasting onto real broadcast data, real scheduling decisions and real commercial constraints, the idea has shifted from theory into a genuine market opportunity.

🔍 What is nowcasting?

Nowcasting is the practice of estimating what is happening right now and what is likely to happen in the immediate future — using live or near-term signals. While forecasting asks what will happen next quarter, nowcasting asks what is most likely to happen in the next few minutes or hours. That distinction sounds subtle, but in media it is significant. Audiences switch platforms instantly. Devices fragment engagement. External events change viewing behaviour within minutes. Relying solely on lagging indicators leaves optimisation opportunities untapped.

📡 What we cover in this episode:

Why traditional broadcast operations built around predictability are incomplete for today's fast-moving viewing environment — and what to do about it.

How economists inspired a broadcast-specific approach. They use shipping movements, credit card transactions and mobility data to estimate GDP before official figures land. The same logic applies to using behavioural signals to refine scheduling decisions.

Why promos are the natural low-risk entry point. Broadcasters invest heavily in promotional assets, yet placement decisions often rely on experience rather than granular behavioural analysis. Nowcasting enables a more precise question: given the signals present at that moment, was there a more effective option?

Why FAST channels are the ideal proving ground — high-variance, ad-funded environments where even small retention improvements translate directly into revenue uplift.

How a realistic pilot works — analysing a month of historical data for a specific channel, isolating break types, simulating alternative content choices and quantifying predicted retention uplift. No need to rebuild playout systems. Start as a contained desktop exercise. Validate signal before scaling.

The organisational dynamics that matter just as much as the technology — aligning editorial expertise, data science capability and commercial strategy with proper governance and incentive structures.

Why measurement discipline is non-negotiable — holdout datasets, cross-validation techniques and clear separation between training and testing data to avoid overfitting.

💡 Key takeaway: "Nowcasting is a disciplined way to use real-time or near-term behavioural signals to improve the next decision — without disrupting long-term strategy."

📈 Why incremental matters: A 1% improvement in retention across hundreds of breaks accumulates quickly. Media markets are competitive and margins are tight. Nowcasting succeeds when positioned as disciplined optimisation rather than dramatic overhaul.

Whether you're a CTO exploring AI implementation, a commercial head looking for revenue uplift, a product manager evaluating optimisation tools, or an industry leader shaping strategy — this episode lays out a practical, evidence-first roadmap.

🎧 Start the internal audit. Explore your data. Ask whether measurable signal exists. Start small and build deliberately — because in today's media environment, standing still is still a decision.

🔗 Find out more: www.ancast.co.uk or connect with Ben on LinkedIn

#BroadcastAI #Nowcasting #FAST #StreamingMedia #AIStrategy #BroadcastMedia #TheInsideTrack #AncastLimited #OTT #AdTech #BroadcastOptimisation

Metadata drift. Buffer overflows. Configuration chaos.

Live broadcast infrastructure just got an AI upgrade. But not the hype kind.

In this episode, Ben Anchor sits down with Teju Mulagada (Alphacord Media Group) to explore how multi-agent AI is turning SMPTE ST 2110 workflows from reactive firefighting to orchestrated intelligence.

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📊 WHAT'S INSIDE:

🔧 The Architecture — Why three specialized AI agents outperform single monolithic systems• Metadata Tracking Agent (detects anomalies in real-time)• Buffer Management Agent (predicts spikes before they happen)• Configuration Agent (monitors device interactions at scale)

⚡ Real Deployment Timeline — Months, not years, from pilot to production (when you get governance right)

🛡️ Human-in-the-Loop Governance — Every critical decision validated, never automated away

🎓 The Knowledge Gap — Why SMPTE ST 2110 adoption is the bottleneck before adding AI

💡 Live Use Cases — Edge computing + IP workflows + cloud orchestration

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👤 ABOUT TEJU MULAGADA

Technical Program Manager | AI Strategist | Growth Leader @ Alphacord Media Group

10-year IT background → broadcast transformation specialist. Her research paper, "Leveraging Multi-Agent AI Systems for SMPTE ST 2110 Broadcast Automation," was presented at SMPTE 2025 in Pasadena and is being published in the SMPTE Motion Imaging Journal (May 2026 edition).

🔗 Connect with Teju: https://www.linkedin.com/in/tejaswi-mulagada/

📰 Watch her SMPTE 2025 presentation: https://www.youtube.com/watch?v=MuUKUWZZqK0&list=PLzxtgAAyZWThbz7RYpbnPdqdwqX1PyGR4

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💭 KEY TAKEAWAY:

"Broadcast isn't failing because AI technology doesn't work. Broadcast is failing because adoption, governance, and change management are hard. This conversation is about how to actually implement the future."

— Ben, Ancast Intelligence

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#BroadcastAI #SMPTE2110 #MultiAgentAI #AIOrchestration #BroadcastEngineering #LiveProduction #MediaTransformation #AIImplementation #BroadcastTechnology #IPWorkflows #SMPTE #BroadcastMedia #MediaTech #Automation