Media and Entertainment enterprises are confronting a convergence of operational, financial, and audience-driven challenges. Audiences expect seamless streaming, constant novelty, and personalized experiences, switching platforms freely when value is unclear. Trust has also become increasingly difficult to maintain as AI-generated and user-generated content scales faster than human moderation can keep up with. Internally, fragmented systems and manual handoffs slow content pipelines, limiting speed, quality, and global reach.
This POV introduces the shift toward the agentic Media & Entertainment enterprise, where intelligent systems sense, decide, and act autonomously across operations. Rather than isolated automation, agentic AI integrates content workflows, trust, safety, and engagement into a continuous, adaptive flow. It explores the steps organizations can take to move from reactive decision-making to self-optimizing operations that deliver measurable outcomes.
Download this whitepaper to learn how to:
- Reduce friction in content operations through autonomous quality control and metadata enrichment
- Strengthen trust and platform integrity with scalable, explainable AI-driven moderation
- Detect and prevent subscriber churn through real-time, agent-led engagement
- Support creators globally with always-on, AI-powered assistance and insights

