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Session Information:

Global: #AM-#AM

APAC: #AM-#AM

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Originally Aired Wednesday, August 21, 2019

In the media industry, changing consumption patterns and viewer preferences keep the pace of business evolution set at warp speed. Ultimately, increasing your market share requires gaining a deeper understanding of your customers. But what solutions can you count on to deliver meaningful, actionable insights?

Attend this webcast and learn how analytics and machine learning are helping media customers around the globe tackle tomorrow’s challenges, right now. What’s included:

Using ML insights to enhance viewer engagement, personalization, and monetization, and ways to modernize your media workflows so you deliver valuable user experiences.
How ML works in content creation, distribution, post-production, and the entire media supply chain.
Getting started: Build on top of core ML services, build smarter solutions using native services, or use pre-packaged solutions to get started.

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Speakers

Chris Kuthan

Business Development Lead – Media Industry Solutions, AWS

Christopher Kuthan is responsible for the design and go to market of industry specific media and gaming solutions. Guided by industry-specific use cases the main purpose is to offer customers tools, assets and guidance to easier and quicker adopt AWS services to their industry workloads and needs. Chris has over 15 years of experience in product management, marketing and business development in the media and technology industry.

David Pearson

Principal Business Development Manager - AI/ML Solutions, AWS

David works in the Machine Learning group at AWS as a Principal Business Development Manager. He helps business and technical leaders understand how they can deploy machine learning services from AWS to improve key metrics like revenue, cost, and customer loyalty.
David previously worked in the Big Data team at AWS, leading the Business Development launch activities for Amazon DynamoDB and Amazon Redshift - two of the fastest growing products in AWS history.

Modernize Your Media Workloads with Machine Learning

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Day, Month DD, YYYY

Originally Aired Wednesday, August 21, 2019

Speakers