2018 NAB Show Event Channel

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Report: Ooyala, Automation and Production Nirvana

Investment in global TV poses a very interesting challenge – will there be enough content to satisfy the demand for OTT services?

Introduction

Answering the question “How is this evolution impacting content creators, production studios, networks and distributors?”, with their latest white paper Ooyala dig deep to understand these issues and find remedies.

The report gives an in-depth analysis of the key stages in production workflows and investigates each in turn, looking at where inefficiencies arise, how savings can be made, and more importantly, how to speed up the process and make it more reliable.

Key to improving systems is removing long standing silos by developing tight integrations throughout the business and introducing automation to:

  • Eliminate manual tasks
  • Free up resources for high-value activities
  • Remove barriers to collaboration
  • Shorten production timescales
  • Improve visibility and control
  • Increase productivity and ROI
  • Reduce costs

After showing the OTT market growth projections increase from $1 billion last year to $7 billion by 2021, the report puts forward four ways to automate workflows and meet today’s OTT demands, with the emphasis on removing errors and freeing up staff for high-value tasks such as program making.

A special section on AI and machine learning describes some of the advances recently made to create richer metadata. Facial recognition algorithms detect gestures and generate indexed metadata for reality TV programs, removing the need to have manual logging of each camera.

Not only does AI provide massive labor savings, it also improves the reliability of logging. When confronted with such a task, humans bore easily and make mistakes.

Source: Ooyala<br />Diagram showing the key stages in a typical production workflow

Source: Ooyala
Diagram showing the key stages in a typical production workflow

Summary

This report will help CEO’s understand the necessary processes to improve workflows, and provide more time to free up production staff for high-value tasks such as making more content. And systems analysts and engineers will understand better the workflow processes and applications involved, especially with the advent of artificial intelligence and machine learning.


Registered readers can download the full report at the link below.

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