The EPIC Framework for Agent Evaluation, Explained
A shopper is using a brand’s AI agent to find wide-fit running shoes to train for a marathon. The agent…
A shopper is using a brand’s AI agent to find wide-fit running shoes to train for a marathon. The agent…
Around 2010, one of the first major broadcasters to launch a streaming product had a problem nobody could name. The…
Twenty million people don’t open a live sports app gradually. They open it ten minutes before kickoff, all at once.…
Using a multi-CDN architecture has many benefits, but simplicity is not one of them. Learn how to build and configure for ease of management and effectiveness.
As the streaming industry shifts to OTT content delivery, streamers must find ways to stay profitable while adapting to a changing industry.
As the streaming industry shifts to OTT content delivery, streamers must find ways to stay profitable while adapting to a changing industry.
How does one find issues that affect a smaller set of users but it is still significant enough to impact overall viewer engagement?
Register for this webinar to hear from Will Penson, Conviva’s GM and Vice President of Strategy, as he discusses five pivotal mistakes that can squeeze profitability—and how to avoid them.
This week, Henry Milner, a principal engineer at Conviva presented our paper: Raising the Level of Abstraction for Time-State Analytics With the Timeline Framework at the Conference on Innovative Data Systems Research (CIDR) in Amsterdam.
An interview with Conviva's new Cheif Scientist, Vyas Sekar on why he choose Conviva and what he hopes to accomplish.
Netflix revealed some insights around Squid Game that we can all learn from on how they make data-driven decisions with robust viewership data. So how can you be like Netflix and use viewership and engagement data to deliver amazing content experiences?
Technical operations teams are often the first and last line of defense when it comes to delivering flawless streaming experiences. So, it’s important to pinpoint the metrics that matter most when monitoring performance and diagnosing issues.