Innovations Driving AI in Media

🚀 Google Cloud Next ’25: Why CMT & IT Services Firms Can’t Afford to Wait on AI Just witnessed the future at #GoogleCloudNext—and for Communications, Media, Technology, and IT Services, the implications are massive. Here’s what matters: 📡 For Telecom & Technology: - AI-powered network optimization (hello, Ironwood TPUs!) means smarter traffic routing, reduced latency, and predictive maintenance at scale. - Agentic AI (Agentspace) can automate customer service resoluton—think self-healing networks + hyper-personalized subscriber experiences. - Google’s new Open WAN architecture redefines global connectivity—delivering carrier-grade reliability, AI-driven traffic optimization, and seamless multi-cloud integration for enterprises scaling distributed workloads. 🎬 For Media & Entertainment, EdTech & Publishing: - Gemini 2.5’s multimodal prowess = faster content tagging, AI-driven editing, and even synthetic media creation (with ethical guardrails). - Vertex AI’s new tools can slash costs for metadata generation, localization, and personalized content delivery. - Vue’s multimodal AI can revolutionize content generation —automating video summarization, dynamic ad copy variants, and even real-time multilingual localization at scale—all while maintaining brand guardrails. 💻 For IT Services & Tech Firms: - Developer productivity just leveled up: Gemini Code Assist reduces legacy modernization time, while Agent2Agent protocols enable autonomous DevOps. - $75B infra investment = a scalable foundation for building and managing AI-first solutions for clients. The Bottom Line: AI isn’t just a feature—it’s the new operational backbone for our industry. The winners will be those who: 1. Drive tangible business value with Agenti AI. Use Agentspace not just for efficiency or process automation, but to transform Service Pools to Software. 2. Embed AI into all major functions (e.g., revenue acceleration, sales productivity, churn prediction, media asset mgmt, content creation). 3. Upskill teams on Google’s AI stack—now. Thoughts? How’s your org preparing? 👇 #AgenticAI #CloudComputing Cognizant #CMT Ravi Kumar S Surya Gummadi Ganesh Ayyar Prasad Sankaran Annadurai Elango Brian DeLarber Sandra Notardonato Thea Hayden Antonella Bonanni Vijay Anand Ankur Singh Deepak Sharma Anand Srinivasan Narendar Prabhakaran Neeraj Deuskar

I FINALLY reviewed the Bitmovin 8th Annual Video Developer Report, and the data confirms what many of us have seen: AI’s biggest impact isn’t in content creation (yet)—it’s in automation and monetization. ✅ AI-powered transcription improves accessibility. ✅ Metadata tagging drives better recommendations and ad targeting. ✅ Personalization keeps viewers engaged—but is it fostering discovery or just trapping users in echo chambers? Monetization seems to be the current driver for AI in media. The focus has shifted from cost-cutting to creating new revenue streams, whether through smarter ad placement, companion apps, or commerce-to-content integration. Meanwhile, AI-generated video? Not there yet. The tech isn’t ready, and audiences still crave human storytelling. Shoutout to Stefan Lederer, Brandon Zupancic and everyone else at Bitmovin for putting together this report—always great to see real industry data.

AI is here, and once again, we’re facing a seismic shift in media. Having jumped from running legacy broadcast networks to digital platforms in Twitter’s early days, I’ve seen firsthand how technology reshapes media’s two levers: content creation and distribution. Generative AI is no different. We’re not yet at the point where AI generates blockbuster movies, but it’s democratizing high-quality content creation, empowering creators far beyond Hollywood. Just look at YouTube: it’s now the largest streaming platform on U.S. TVs, surpassing Disney+, Hulu, and Peacock combined. Creators like MrBeast outpace Netflix’s biggest shows. If MrBeast were a “show,” it would be the most popular in the world—a clear sign that platforms like YouTube aren’t just hosting creators, they’re leading entertainment. Netflix, once the disruptor, now faces disruption. Creator-driven platforms are chipping away at professionally-produced content, starting with kids (think CoComelon and Ryan’s World on YouTube) and moving into unscripted genres. AI tools like Runway and Flux could accelerate this shift, enabling creators to experiment more freely while tools like real-time translation expand global reach for non-English content. But this shift isn’t about AI replacing creative talent. The real risk lies in AI destabilizing Hollywood’s economics, shrinking budgets, and rewriting the rules that have governed the business for decades. I’ve seen this before. Teams I worked with scoffed at fans watching sports on phones, preferring 4K TVs. Then Twitter introduced an intimate, real-time fandom experience that redefined how audiences engage. Who laughed last? GenAI offers similar opportunities, from real-time rendered video to immersive, physics-defying storytelling. These features will challenge how we define quality, much like social platforms did. The question isn’t if this shift will happen—it already is. The opportunity is in how we adapt and thrive. #genAI #contentproduction #media #disruption