AI, Machine Learning, and the Future of Everything Track

Yes, everything, because every part of the video ecosystem will be impacted by artificial intelligence. Think we’re exaggerating? Look around: AI and machine learning are already letting smart companies put big data to work by creating more customized offerings. This isn’t the future; it’s the present. The heaviest hitters are using AI in automated highlight generation, video processing, sentiment analysis, facial recognition, hyper-personalized content recommendations, ad targeting, viewer retention, and customer churn prevention. That’s a lot to spotlight, but this track will explore the technical, financial, and ethical implications of this brave new world. Don’t get left behind! You’ll come out with a deeper understanding of how to make your entire operation smarter, faster, and more profitable.


Tuesday, May 8

Track AI: AI, Machine Learning & the Future of Everything Track


AI101. From Content Creation to Delivery: How AI Is Impacting Modern Media

Tuesday, May 8: 10:30 a.m. - 11:30 a.m.

Artificial intelligence holds great promise for the media industry, and its use cases today are especially applicable across the content lifecycle. From content creation, production, and distribution to delivery and recommendation, AI is streamlining process and improving existing execution methods. In this session, panelists discuss how to leverage AI to enhance content value and performance, as well as unveil and maximize new opportunities for monetization.


, Consultant, Reality Software and Contributing Editor, Streaming Media


, Head of Creative Innovation, Google

, VP Products, First Tube

, VP of Architecture, Limelight Networks

, Principal Architect, Citrix

, Co-Founder and CEO, REELY


AI102. Case Studies: Breaking New Ground with AI

Tuesday, May 8: 11:45 a.m. - 12:30 p.m.

Bringing AI to Linear TV—The Future of Television
11:45 a.m. - 12:30 p.m.

The promise of artificial intelligence is undeniable—unprecedented personalization, efficiencies that reduce costs and increased revenue. This all works in on-demand video, but is there a role for AI in livestreaming linear channels? This case study from Ooyala and discusses how the two companies are working together to bring AI to TV to automate the curation of content in a first-of-its-kind, customizable, and highly personalized experience in a suite of linear TV channels.


, VP, Customer Success & Global Account Management, Ooyala

, Chief Development Officer,


AI103. Video AI: Mapping Consumer Streaming Experience Onto Network Operations & Decisioning

Tuesday, May 8: 1:45 p.m. - 2:30 p.m.

Streaming video analytics have become mainstream for almost all OTT publishers, who have found the need to make the data and analytics available to operational and business teams, both in real time and actionable, increasingly important. The massive volume of data makes finding the signal in the noise very difficult for traditional reporting and alerting systems and workflows. Data-driven AI and machine learning techniques are increasingly being used to address these requirements. In this presentation we cover both the business/operational use cases and the algorithms used to solve these problems.


, Technical Solution Architect, Comcast


AI104. Case Studies: News and Publishing

Tuesday, May 8: 2:45 p.m. - 3:30 p.m.

How AI Is Revolutionizing Publishing
2:45 p.m. - 3:05 p.m.

With social media algorithms constantly changing, it’s time for news publishers to regain control of their audiences. Using AI and machine learning, publishers can program contextually relevant and personalized content down to the viewer level on their owned-andoperated sites for both breaking news and day-to-day operations. IRIS. TV and Gannett demonstrate how AI is helping to provide prescriptive insights into audience engagement and fueling future content strategies and video distribution on owned-and-operated sites.


, Co-Founder and CEO,

, Senior Director of Product Management, Gannett/USA TODAY NETWORK

Personalizing Content Using Reinforcement Learning
3:10 p.m. - 3:30 p.m.

Personalization is one of the main focus areas of CMOs and CTOs across various industries, including media. This case study presents how Microsoft Research has spearheaded content personalization through the Azure Custom Decision Service using innovative online learning techniques founded in a very prominent area of machine learning called Reinforcement Learning, providing increased engagement for publishers.


, Lead PM for Azure Decision Service, Research, Microsoft


AI105. Singularity: Compare & Contrast Video Insights via AI

Tuesday, May 8: 4:00 p.m. - 5:00 p.m.

A number of cloud providers have launched video-centric services to gain all manner of AI/machine learning-based insights and autogenerated sidecar information on your video assets. This session compares and contrasts Microsoft Azure Video Indexer, IBM’s Watson Media, AWS Rekognition, and Google Cloud Video Intelligence. We cover the basics and give you an unbiased look into which service will be the best bet for your needs. Whether it’s speech-to-text, object recognition, scene detection, or even speech sentiment, there’s a service out there for you. Let’s find it.


, CTO, RealEyes Media

Tracks & Special Events

Business and Strategy Track

Created for CEOs, CSOs, media strategists, and business development executives: This is your home at Streaming Media East. This forward-thinking track offers high-level strategic discussions where you can learn from the best where the online video economy is moving.

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Technology and How-to Track

Created for CTOs, engineers, and developers who want one thing: solutions. The video ecosystem is a fragmented mix of platforms and devices: Learn from the pros how you can eliminate the bottlenecks and deliver results.

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AI, Machine Learning, and the Future of Everything Track

This track will explore the technical, financial, and ethical implications of this brave new world. Don’t get left behind! You’ll come out with a deeper understanding of how to make your entire operation smarter, faster, and more profitable.

Find out more
Discovery Track

Sessions in this track are educational and the presentations which typically focus on products and customer case-studies, provide a good opportunity to learn more about specific technologies or vendors. Open to all conference attendees and Discovery Pass holders.

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Video Marketing Power Summit

The Video Marketing Power Summit is a one-day conference where we'll look at the obstacles challenging advertisers and publishers, offering strategies for reaching consumers where they live, work, and shop. 

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Content Delivery Summit Logo

The Content Delivery Summit is a one-day conference that brings together carriers, telcos, ISPs, and premium content owners for a detailed look at the technology and platforms being used to deliver and accelerate web content.

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Live Streaming Summit Logo

Live Streaming Summit focuses exclusively on the challenges and opportunities inherent in delivering large-scale live events and live linear channels to multiple screens. Sessions will address every step of the live video workflow, including ingestion, transcoding, management, protection, distribution, analytics, and post-event evaluation.

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Streaming Media University Logo

Streaming Media University features world class experts delivering content-rich training. This series of workshops at Streaming Media East 2018 offers attendees the opportunity to get deep-dive training on online video and streaming technologies and provides the sound theories and practicted techniques to beome a top performer in the online video field.

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