Skip to content
Reelgood for Business
Reelgood for Business
  • Home
  • Data Offerings
    • Data Dictionary
    • API Docs
    • Why Reelgood
    • Use Cases
  • Data Trends
    • Reelgood Unspooled 2025
  • Company
    • About Us
    • Blog
    • Careers
  • Let's Chat

Posts Tagged ‘machine learning’

How AI and Machine Learning Will Reshape Streaming in 2026

By David Markowitz | February 17, 2026
AI streaming personalization

Next in our series on our team’s 2026 Streaming Industry Predictions. Key Takeaways AI-powered discovery is moving beyond basic genre recommendations toward hyper-personalized interfaces that match content to individual mood, taste, and viewing history in real time. Behind the scenes, ML is becoming just as critical for monetization, powering more sophisticated ad-tech targeting as ad-supported…

Read More

The Data Whisperer: Reelgood’s ML Algorithm for Flawless Content Matching

By David Markowitz | November 10, 2025
ML-based Semantic Analysis

For major streaming services and consumer tech platforms, achieving an accurate, real-time picture of global video content is the ultimate metadata challenge.  With hundreds of streaming services, millions of titles, and countless regional variations, accurately identifying and tracking every piece of video content is a massive technical challenge. Whether analyzing competitors’ catalogs and availability, managing…

Read More

Why a Multi-Tiered Approach Solves the Biggest Problems with Entertainment Metadata

By David Markowitz | October 29, 2025
Using machine learning and metadata to match streaming content

Streaming content changes daily. Libraries move, new shows are released, licensing arrangements change. Ensuring that video content is accurately matched across platforms is essential for providing users with a seamless viewing experience.  For video streaming platforms, content providers and consumer tech companies, the quality and currency of entertainment (i.e., TV shows & episodes and movies)…

Read More