Investment in global TV poses a very interesting challenge – will there be enough content to satisfy the demand for OTT services?
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.
Diagram showing the key stages in a typical production workflow
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.
You might also like...
Like the broadcasters they serve, the Las Vegas 2020 NAB Show and annual Amsterdam IBC events were forced to go virtual. Show or no shows, TV shows go on, and 2020 OTA TV transmission technology is moving faster than ever. Here’s…
Now the CRT is history, we have to justify the retention of gamma on its performance as a perceptual compression codec. That requires its effect on human vision to be considered.
Digital audio relies completely on sampling and no treatment of the subject can be complete without looking at how it works.
Local broadcasters are used to mission-critical because everything is mission-critical. Moving critical data may be the right move.
The requirements for data transmission have changed out of all recognition since the early days of computing where the goal was simply to make something that worked. Today that’s the easy part.