Video Monetization and Audience Building

With an explosion in the amount of content being consumed Over-The-Top, video content providers are scrambling to accelerate the capture of additional, ongoing viewership and monetize this new distribution channel. A one-size-fits-all strategy for this type of disruptive scenario can yield disastrous results.Identifying and tailoring specific subscription and other automatically recurring revenue-based monetization models appropriate for a content owner or provider's audience based upon viewing habits is a key to rapid growth.
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OTHER ON-DEMAND WEBINARS

Simplifying Complex Networks with Graphiant's Network Edge Service

Graphiant's Network Edge Service puts you in control of your network, allowing you to connect every node quickly, avoiding costly configuration time and tunneling bottlenecks. It is designed to deliver any to any connections with complete visibility, internet-level agility, and service-level agreements intended for business. The results are site, cloud, and B2B connectivity that enterprises can spin up on-demand, scale quickly, and run at the speed of business.
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New Goals for Innovating Live Sports

thebroadcastknowledge

Sports broadcasting has always been on the forefront of technology both by developing products specifically for the sporting market such as sports graphics, annotation and ball tracking and also by pressing nearly any new technology that comes along into production. The result of this relentless thirst for technology is year-by-year better and better productions done in more innovative and often lower-cost ways.
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AI for Media and Entertainment

In this webinar, visual effects and digital production company Digital Domain will share their experience developing AI-based toolsets for applying deep learning to their content creation pipeline. AI is no longer just a research project but also a valuable technology that can accelerate labor-intensive tasks, giving time and control back to artists. We’ll start with a brief overview of deep learning and dive into examples of convolutional neural networks (CNNs), generative adversarial networks (GANS), and autoencoders. These examples will include flavors of neural networks useful for everything from face swapping and image denoising to character locomotion, facial animation, and texture creation.
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How to engage people in safety with a mobile app

Quentic

Why mobile is crucial to get people involved. Why feedback, productivity and ease of use are keys to be successful. How to digitise your processes with a mobile app.How to improve your EHS communication with a mobile app.Which positive impact do mobile EHS apps have on your organization.
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