Video: How USA Today Leveraged Video AI at the 2018 Winter Olympics
Learn more about real-world video AI strategies at Streaming Media's next event.
Read the complete transcript of this clip:
Kara Chiles: With an event like the Olympics, one of the things we see is that it's an international story obviously. It has a national-level story arc as well as one that could be individual to specific markets where say athletes may be from, or where there is a training center. And with all of those stories, we also know that sports is a uniquely highly engaged category and it also, this event, in particular, draws in a lot of people who may not identify as sports junkies. So, we really saw a lot of opportunity here to reach people who are highly engaged and very loyal, very casual, may not even be regular users of the site but would definitely come in for the experience, and a lot of original content that would be getting created, and then advertisers really trying to reach that heightened volume around this global and centralizing event.
Out of this, then, there was a lot of coordinating complexity, and this is where, when you're pulling together an event of this scale, one of the things we automatically look for on the product organization side, is how can we find efficiencies? Where do we find ways to optimize all aspects of this? When you think about a 14-hour time difference between Pyongyang and D.C., one of the things that we had to factor is who was going to turn on feeds at five o'clock in the morning, or in particular, when you get an email from one of our videographers from the ski slope at 5:30 in the morning about where is the video that they just thought was going to be featured, which happens.
One of the things you find out is the complexity of layers here really is where you start to align on, how do we then get complexity out of the system? One of the ways we do that is actually looking at templates that will help us recirculate the content, and also how we can then make sure that the content flowing through the templates is being directed through intelligent means.
So, with that in mind, when we think about that, there's also the added piece of editorial standards, whether it's our own network original content, if it's third-party content, if it's information that's coming from our users, how are we maximizing all of those experiences and driving both user value so they're always seeing something fresh and new from constantly changing and evolving events, to also providing value for people who are trying to reach those viewers as advertisers.
Limelight's Jason Hofmann, Citrix' Josh Gray, and REELY's Cullen Gallagher discuss best practices for training AI systems at Streaming Media East 2018.
12 Nov 2018
Google's Matthieu Lorrain cautions of the risks of doing AI for its own sake in this clip from Streaming Media West 2018.
08 Nov 2018
RealEyes Director of Technology Jun Heider discusses the importance of internal self-assessment and which use-case elements to consider when choosing a platform for video AI in this clip from Streaming Media East 2018.
01 Nov 2018
RealEyes Media Director of Technology Jun Heider identifies the key players in the AI platform space in this clip from Streaming Media East 2018.
29 Oct 2018
RealEyes Director of Technology Jun Heider outlines the first steps in choosing an AI platform in this clip from his presentation at Streaming Media East 2018.
25 Oct 2018
Microsoft Principal Product Manager Rafah Hosn makes the case for reinforcement learning as a machine learning paradigm for content personalization in this clip from Streaming Media East 2018.
22 Oct 2018
Microsoft Principal Product Manager Rafah Hosn discusses the benefits and limitations of a content personalization strategy based on supervised machine learning in this clip from Streaming Media East 2018.
18 Oct 2018
Microsoft Principal Product Manager Rafah Hosn explains how Microsoft's machine learning-driven decision services helps brands target viewers and increase engagement in this clip from Streaming Media East 2018.
15 Oct 2018
Comcast Technical Solutions Architect Ribal Najjar discusses how operationalizing commonalities between QoE and QoS metrics to deliver a "super-powerful" dataset in this clip from Streaming Media East 2018.
11 Oct 2018
Comcast Technical Solutions Architect Ribal Najjar defines video QoE both in terms of subjective experience and qualitative measurement in this clip from Streaming Media East 2018.
08 Oct 2018
IRIS.TV CEO & Co-Founder breaks down discusses IRIS.TV's approach to helping traditional media companies capture and leverage audience data and machine learning in this clip from Streaming Media East 2018.
04 Oct 2018
ZoneTV's Tom Sauer describes how machine learning can be used to overhaul the TV world and deliver more individualized experiences in this clip from Streaming Media East 2018.
27 Sep 2018
REELY CEO Cullen Gallagher makes the business-growth case for content owners developing an AI strategy in this clip from Streaming Media East 2018.
24 Sep 2018
IBM Watson Media's David Clevinger discusses how media entities are currently using video AI in this clip from Streaming Media East 2018.
20 Sep 2018
Citrix Principal Architect Josh Gray explains how video enables higher-acuity metrics analysis in this clip from Streaming Media East 2018.
17 Sep 2018
Limelight VP of Architecture Jason Hofmann discusses how AI impacts content delivery optimization in this clip from Streaming Media East 2018.
13 Sep 2018
Citrix' Josh Gray provides tips on AI model development and Reality Software's Nadine Krefetz and IBM's David Clevinger speculate on the possibilities of metadata-as-a-service in this clip from Streaming Media East 2018.
10 Sep 2018
Google's Leonidas Kantothanassis explores the vast range of applications for machine learning in the media workflow and supply change in this clip from his Content Delivery Summit keynote.
19 Feb 2018