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Broadcast AI in Japan - Engineer Cafe Insights & Fukuoka's Tech Fortnight

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Manage episode 509172147 series 2864788
Content provided by Ancast Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ancast Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

🔥 What happens when a 45-minute AI presentation turns into a 90-minute deep dive?

Ben shares his Engineer Cafe experience in Fukuoka where the questions wouldn't stop coming.

From "mad scientist" broadcast engineers with soldering irons 🛠️ to today's Python-wielding cloud architects 💻 — the industry transformation is wild. But here's the real question someone asked: "What if viewers REJECT AI-driven scheduling?"

Ben's answer? If they're watching more of what they love, that's proof the AI is working. The best AI is invisible. 👻

🎯 HIGHLIGHTS:

  • UC Berkeley capstone project breakdown: AI "nowcasting" for broadcasters
  • Where AI is ACTUALLY working in broadcast (QC, compliance, content discovery)
  • Meeting a Chief AI Officer who wants to collaborate on the scheduling model
  • Why MAPE under 12% could revolutionize mid-tier broadcasters

🗾 PLUS: Fukuoka's about to get busy! Ramen Tech Summit booth (Oct 8-9), Nomad Tech Pitch Competition (Oct 10), and the full-day Scale Smart workshop on Noko Island (Oct 11).

No hype. Just real conversations about what AI can do TODAY vs. what's still theoretical.

Connect: ancast.co.uk 🌐

#BroadcastAI #AIStrategy #Fukuoka #TechTalks #AIScheduling #MachineLearning #BroadcastTech #DigitalTransformation #AIImplementation #RamenTech #EngineerCafe #ContentCreation #AIWorkflows

  continue reading

67 episodes

Artwork
iconShare
 
Manage episode 509172147 series 2864788
Content provided by Ancast Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ancast Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

🔥 What happens when a 45-minute AI presentation turns into a 90-minute deep dive?

Ben shares his Engineer Cafe experience in Fukuoka where the questions wouldn't stop coming.

From "mad scientist" broadcast engineers with soldering irons 🛠️ to today's Python-wielding cloud architects 💻 — the industry transformation is wild. But here's the real question someone asked: "What if viewers REJECT AI-driven scheduling?"

Ben's answer? If they're watching more of what they love, that's proof the AI is working. The best AI is invisible. 👻

🎯 HIGHLIGHTS:

  • UC Berkeley capstone project breakdown: AI "nowcasting" for broadcasters
  • Where AI is ACTUALLY working in broadcast (QC, compliance, content discovery)
  • Meeting a Chief AI Officer who wants to collaborate on the scheduling model
  • Why MAPE under 12% could revolutionize mid-tier broadcasters

🗾 PLUS: Fukuoka's about to get busy! Ramen Tech Summit booth (Oct 8-9), Nomad Tech Pitch Competition (Oct 10), and the full-day Scale Smart workshop on Noko Island (Oct 11).

No hype. Just real conversations about what AI can do TODAY vs. what's still theoretical.

Connect: ancast.co.uk 🌐

#BroadcastAI #AIStrategy #Fukuoka #TechTalks #AIScheduling #MachineLearning #BroadcastTech #DigitalTransformation #AIImplementation #RamenTech #EngineerCafe #ContentCreation #AIWorkflows

  continue reading

67 episodes

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