Pachyderm Case Studies RTL Nederlands Relies on Pachyderm’s Scalable, Data-Driven Machine Learning Pipeline to Make Broadcast Video Content More Discoverable

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	RTL Nederlands Relies on Pachyderm’s Scalable, Data-Driven Machine Learning Pipeline to Make Broadcast Video Content More Discoverable Pachyderm

RTL Nederlands Relies on Pachyderm’s Scalable, Data-Driven Machine Learning Pipeline to Make Broadcast Video Content More Discoverable

Pachyderm

Technology Category	Analytics & Modeling - Machine Learning Application Infrastructure & Middleware - API Integration & Management
Applicable Functions	Discrete Manufacturing Product Research & Development
Use Cases	Machine Condition Monitoring Process Control & Optimization Predictive Maintenance
Services	Data Science Services Cloud Planning, Design & Implementation Services
Challenge	RTL Nederlands, part of Europe’s largest broadcast group, wanted to use artificial intelligence (AI) to make video content more valuable and discoverable for millions of subscribers. The company broadcasts to millions of daily TV viewers, along with delivering streaming content that garners hundreds of millions of monthly views online. One of the key growth metrics for RTL Nederlands is viewership, but optimizing the value and discoverability of video assets is an extremely labor-intensive endeavor. That makes it ripe for automation, and the team applied machine learning to optimize key aspects of its video platform, like creating thumbnails and trailers, picking the right thumbnail for those trailers, and inserting ad content into video streams. Read More
About Customer	RTL Nederlands is a 100% subsidiary of RTL Group, Europe’s largest TV, radio and production company. RTL Group is 75.1 percent owned by Bertelsmann, a large international media group. Sister companies of RTL Group are the publishers Penguin Random House and Gruner + Jahr, music company BMG and customer service provider Arvato. RTL Nederlands broadcasts to millions of daily TV viewers, along with delivering streaming content that garners hundreds of millions of monthly views online. Its parent, RTL Group, is Europe’s largest broadcaster and part of Bertelsmann, one of the world’s largest media conglomerates. Read More
Solution	The team solved this problem by breaking complicated tasks into simpler subtasks, eliminating larger task-specific models in favor of an assembly of reusable modules. This modular approach to machine learning allowed the company to train the AI on various elements of the video stream across visual (frame extraction, shot segmentation, facial recognition), audio (tagging, speech identification, musical genre) and text (language detection, key phrases) subtasks. Pachyderm provides clear understanding of data lineage during model experimentation, giving Adarga’s data scientists the insight needed for traceability and reproducibility. This effectively creates a controlled environment for Adarga, allowing the team to quickly assess and understand model development. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Application Infrastructure & Middleware - API Integration & Management

Applicable Functions

Discrete Manufacturing

Product Research & Development

Use Cases

Machine Condition Monitoring

Process Control & Optimization

Predictive Maintenance

Services

Data Science Services

Cloud Planning, Design & Implementation Services

Challenge

RTL Nederlands, part of Europe’s largest broadcast group, wanted to use artificial intelligence (AI) to make video content more valuable and discoverable for millions of subscribers. The company broadcasts to millions of daily TV viewers, along with delivering streaming content that garners hundreds of millions of monthly views online. One of the key growth metrics for RTL Nederlands is viewership, but optimizing the value and discoverability of video assets is an extremely labor-intensive endeavor. That makes it ripe for automation, and the team applied machine learning to optimize key aspects of its video platform, like creating thumbnails and trailers, picking the right thumbnail for those trailers, and inserting ad content into video streams.

About Customer

RTL Nederlands is a 100% subsidiary of RTL Group, Europe’s largest TV, radio and production company. RTL Group is 75.1 percent owned by Bertelsmann, a large international media group. Sister companies of RTL Group are the publishers Penguin Random House and Gruner + Jahr, music company BMG and customer service provider Arvato. RTL Nederlands broadcasts to millions of daily TV viewers, along with delivering streaming content that garners hundreds of millions of monthly views online. Its parent, RTL Group, is Europe’s largest broadcaster and part of Bertelsmann, one of the world’s largest media conglomerates.

Solution

The team solved this problem by breaking complicated tasks into simpler subtasks, eliminating larger task-specific models in favor of an assembly of reusable modules. This modular approach to machine learning allowed the company to train the AI on various elements of the video stream across visual (frame extraction, shot segmentation, facial recognition), audio (tagging, speech identification, musical genre) and text (language detection, key phrases) subtasks. Pachyderm provides clear understanding of data lineage during model experimentation, giving Adarga’s data scientists the insight needed for traceability and reproducibility. This effectively creates a controlled environment for Adarga, allowing the team to quickly assess and understand model development.

Impact #1	Automates and orchestrates multiple ML pipelines to solve complex challenges
Impact #2	Speeds debugging and output analysis through data versioning and immutable lineage
Impact #3	Scales ML pipelines through parallel processing to handle large volumes of files simultaneously

Impact #1

Automates and orchestrates multiple ML pipelines to solve complex challenges

Impact #2

Speeds debugging and output analysis through data versioning and immutable lineage

Impact #3

Scales ML pipelines through parallel processing to handle large volumes of files simultaneously

Benefit #1	Increased viewership through optimized video content
Benefit #2	Reduced labor costs through automation
Benefit #3	Improved efficiency in processing large volumes of data

Benefit #1

Increased viewership through optimized video content

Benefit #2

Reduced labor costs through automation

Benefit #3

Improved efficiency in processing large volumes of data

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Overview

RTL Nederlands Relies on Pachyderm’s Scalable, Data-Driven Machine Learning Pipeline to Make Broadcast Video Content More Discoverable

Operational Impact

Quantitative Benefit