State of Streaming Podcast
Have a question? Send us a text! [https://www.buzzsprout.com/2512452/fan_mail/new] The conversation is a companion to Hemant's recent piece on AI personalization at scale [https://www.stateofstreaming.com/articles/hemant-soni-ai-personalization-at-scale]. Hemant Soni [https://www.linkedin.com/in/hemantsoniatlanta/], AI Architect and SOS. contributor, joins Tim Rowe [https://www.linkedin.com/in/troweactual/] to unpack what streaming platforms can learn from the infrastructure telecom companies built under survival pressure — and how to start applying it now. On Combatting Churn Streaming platforms collect mountains of behavioral data — what you watch, what you skip, when you disengage — and respond days or weeks later with a generic retention email. By then, the subscriber has already left. The model that actually works isn't coming from Netflix or Spotify. It's coming from telecom. * 1:32 – About how telecom is mastering personalization — and why it matters for streaming * 3:05 – T-Mobile's customer decision hub: processing 140M+ subscriber signals in under 200 milliseconds * 5:33 – Comcast's convergence advantage: telecom-grade AI infrastructure applied directly to Peacock's 32M broadband customers Why "Feeling Understood" Matters Most The shift Hemant describes — from responding after a customer cancels to predicting intent before they act — is the key unlock. Customers don't feel retained. They feel understood. That's the difference between a churn intervention and a relationship. * 6:08 – What Comcast is actually deploying: not experiments, proven telecom intelligence * 7:32 – The four pillars of AI personalization and what each one means for a streaming operator * 11:17 – Where to start: a practical framework for media companies beginning the AI journey Get Hemant's 90-day Fast Start Framework Start with personalization. It's the highest ROI use case, and once you show impact there, scaling AI gets easier everywhere else. Hemant closes with the most actionable thing in the episode — month one: identify use cases and clean your data. Month two: build and test AI models at small scale. Month three: optimize and scale what worked. * 12:42 – Building a unified data foundation: what to connect, clean, and make reusable * 13:56 – Why personalization is the highest ROI AI use case * 14:30 – Language barriers, content hypergrowth, and what AI-enabled localization actually unlocks Connect with Hemant Soni on LinkedIn [https://www.linkedin.com/in/hemantsoniatlanta/] and read his full article here [https://www.stateofstreaming.com/articles/hemant-soni-ai-personalization-at-scale]. Support the show [https://www.buzzsprout.com/2512452/support]
26 episodios
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