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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.

Streaming Media Connect back in November with a peek at Building the 2027 Streaming Strategy Playbook.
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Features

AI's Streaming Stack: Image Interpretation

The companies covered here have substantially leveraged AI or incorporated it into their currently shipping tech. The representatives I spoke to discuss some very interesting approaches for what essentially is image interpretation, including detecting if content has been tampered with using AI, local AI processing, and automated clip generation such as vertical formatting.

Zero-Sum Game: Calculating and Managing Streaming TCO

While total cost of ownership spans an encyclopedic number of operational touchpoints, managing a video P&L ultimately comes down to making targeted, high-impact architectural choices.

Q&A: Tennis Channel SVP Direct-to-Consumer Matthew Graham Talks Launching, Programming, and Scaling the Tennis Channel App

In late 2023, Tennis Channel brought in AMC Networks and PBS Digital veteran Matthew Graham to spearhead the development of the network's DTC app. In this Q&A, Graham delves into the app's content, monetization, partnership, and growth strategy, as well as how Tennis Channel positions the app in relation to its other platforms and leverages data and audience insights to measure customer lifetime value, personalize content, and inform future strategic decisions.

AI's Streaming Stack: Engagement Agents

The three companies covered in this issue's column are all involved in bringing more monetization or engagement to today's streaming content. The key differentiator is using AI to delve deep into content meaning and adjacent data to create new opportunities for content formats that previously did not exist. While we sometimes cover tools that are suitable for smaller publishers, these AI tools require a certain scale of content to … well, work at scale. Two of these companies have been around for 10-plus years. The other one is much newer but already has an impressive connection with a media company.

Spotlights

Five seconds used to count as low latency. Now only 16% agree.

Igor Oreper discusses the latest findings of Bitmovin's Video Developer Report

Unlock Smarter Media Automation With Contextual Content Analysis

Bruno Munger explains how Telestream's EDC Media Analyzer allows organizations to move from manual inspection toward context-aware orchestration by turning structural and editorial understanding into machine-readable data.

What a Resilient Content Chain Looks Like in IP Video Monitoring

A resilient content chain needs two things: the ability to detect problems fast, and enough operational context to act on them.

Stream It in IMAX Enhanced: A Gamechanger for Live Sports Streaming

With its new ‘Stream it in IMAX Enhanced' program, IMAX is bringing its world-renowned brand, expertise, cutting-edge VisionScience™ technology, and proprietary digital source enhancement workflows to live-streamed sports and events.

Columns

The Agent's Station

One way agentic AI is making inroads into streaming monetization, as I learned at Streaming Media Connect, offers the potential to complement and free up time for human creativity rather than replace it.

Farm to Table

One of the overarching themes of Streaming Media 2025, which took place October 6-8 in Santa Monica, Calif., was the rise of the creator economy. Discussions centered around the changing economics of content creation, delivery, distribution, and curation (with AI playing an ever-larger role in leveling the playing field to varying degrees at all stages); evolving business models for creators looking to leverage and grow their brands and survive and thrive; and the ongoing, unignorable convergence of creator channels and "traditional" streaming platforms. The last topic seems like a particularly noteworthy sign of the times—how many conversations carried on just down the 405 in Huntington Beach in the heyday of Streaming Media West concerned the convergence (or divergence) of streaming upstarts and traditional linear broadcast?

AI Meets Adtech

During an "AI Meets Adtech" panel at Streaming Media 2025 in Santa Monica in October, I did my best to stir things up with a group of industry thought leaders that included Google's Inderpreet Sandhu, Tavant's Filiz Bahmanpour, FOX's Amit Shetty, IAB Tech Lab's Shailley Singh, and former Disney tech ops expert Sarge Sargent.

Creating New CTV Ad Standards

IAB Tech Lab has recently released some new standards for CTV advertising, known as the Ad Format Hero Initiative. The organization asked and received more than 100 CTV ad format descriptions/concepts from the industry on classifying new formats. Next up, they ran an industry survey (completed 16 April 2025) to determine what should be prioritized. The Ad Format Hero Task Force selected eight formats based on the survey results. The idea is to create standards so that sensibly, engineering and operations teams don't have to reinvent the wheel every time they want to insert the right creative.

AI & Analytics Companies and Suppliers