AI & Analytics

This category encompasses companies specializing in the development and deployment of AI for discovery and content creation and also for advanced video analytics solutions tailored for the streaming industry. These providers empower content owners, broadcasters, OTT platforms, and online video services to extract actionable insights from their video streams in real-time or near real-time.

Key focus areas include: Audience Measurement & Engagement, Content Optimization & Personalization, Quality of Experience (QoE) Monitoring, Content Protection & Security, Advertising & Monetization, Metadata Enrichment & Content Discovery, Real-time Event Detection & Alerting, and Compliance & Regulatory Monitoring.

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Features

How to Fight Sports Streaming Fragmentation Fatigue

The fragmentation of sports streaming rights and the proliferation of channels with some matches but not others makes it increasingly difficult for fans to track their teams' upcoming games. Free Live Sports President Cathy Rasenberger, Play Anywhere CSO Pete Scott, Hub Entertainment Research Principal Jon Giegengack, and MTech Sport's Matt Stagg discuss ongoing discoverability challenges and how Free Live Sports, Roku with its Sports Zones, Fox One, the ESPN app, and others are trying to create new sports destinations to counteract sports streaming's disaggregation crisis.

Sports Leagues and Broadcasters Must Tailor Engagement Strategies for Gen Z

Free Live Sports president Cathy Rasenberger argues that sports leagues and broadcasters need to adapt to the ways Gen Z viewers consume content—short-form, social, athlete-centric storylines—if they want to engage and retain younger audiences in this discussion with MTech Sport, Media & Entertainment consultant Matt Stagg, Play Anywhere CSO Pete Scott, and Hub Entertainment Research principal Jon Giegengack from Streaming Media Connect 2025.

Agentic AI: A New Path to Efficiency and ROI

By this time next year, agentic AI will sit inside everyday operations no longer as an experiment, but as part of the connected backbone that powers how content is created, managed, and delivered. The question has shifted from if to how, and specifically, how to make it usable across the whole business.

How to Leverage AI in Streaming Ad Tech in 2026

Whether it's traditional machine learning (ML) or its trendier generative cousin, artificial intelligence (AI) is appearing in a range of streaming ad tech use cases for increasing under-the-hood efficiency in streaming monetisation applications. Sargeway's Sarge Sargent, Fox's Amit Shetty, Google's Inderpreet Sandhu, IAB Tech Lab's Shailley Singh, and Reality Software's Nadine Krefetz discuss AI's fast-changing role in this clip from Streaming Media 2025.

Sponsored Articles

European Innovation in Streaming: Infrastructure Sovereignty as a Competitive Edge

Interview with Alexander Leschinsky, CEO and Co-Founder, G&L Systemhaus

Interview with Alexander Leschinsky, CEO and Co-Founder, G&L Systemhaus

Alexander Leschinsky talks content provenance, authenticity, C2PA and and DRM

Interview with Antonio G. Corrado, CEO, MainStreaming

An interview with MainStreaming CEO and co-founder Antonio Corrado who explains why he is on a mission to redefine how on-demand and live video streaming are delivered at scale with high-performance KPIs.

Ultra-Low-Latency Streaming: HESP vs webRTC

HESP Alliance's Pieter-Jan Speelmans compares HESP and webRTC, evaluating latency, scalability, device support, network resilience, content protection, viewer quality of experience, timed metadata support, and backwards compatibility.

AI & Analytics Companies and Suppliers