Digital Nirvana On Demand Webinar – Monitor your broadcast content anytime, and anywhere

Digital Nirvana On Demand Webinar – Monitor your broadcast content anytime, and anywhere

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Tag: Analytics

Digital Nirvana On Demand Webinar – Monitor your broadcast content anytime, and anywhere

On Demand Webinar from IABM Member Digital Nirvana

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Bridge Technologies – Bridge Technologies presents their approach to Distribution and VSAT using the NOMAD portable probe

Bridge Technologies offers a comprehensive, end-to-end, fully configurable approach to monitoring through ISM (Integrated Services Monitoring). This means that for media houses, production facilities, broadcasters who have OTT as just one element of their service delivery – or for those looking to grow their OTT and remote capabilities – Bridge is there to help ensure that regardless of how your audiences choose to consume content, they will always be sure to receive high quality, reliable content.

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Primestream – Case Study Organization of American States

The Organization of American States is the world’s oldest regional organization bringing together all 35 independent states of the Americas. It is mandated to keep verbatim minutes of the meetings of some of its governing bodies. These meetings are manually transcribed which is time-consuming and requires many personnel. This short video shows the benefits OAS gained using AI.

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Hitomi Broadcast – The Importance of Perfect Timing

For high profile live sports productions, the stakes are naturally.. high. Whether you’re covering a sports event, music show or broadcasting live news, when time is short and it’s got to be right, broadcasters around the world rely on the precise audio and video alignment analytics offered by Hitomi’s MatchBox solutions.

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AI and ML Panel Discussion

This live session will focus on data-driven media, including innovative artificial intelligence and machine learning solutions to create, manage and deliver content as well as analytics solutions enabling informed decision-making at media organizations.

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Wildmoka – Transforming smartphone Live TV viewing experience for News with AI/ML.

The innovation we want to talk about in this session explains how AI/ML is used today to automatically transform horizontal 16:9 live streams into vertical 9:16 ones in real-time and without “cropping” (so loosing) important information contained in the original 16:9 frames.

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Intinor

Intinor develops its own products and aims to deliver the best and most comprehensive solution for high quality live video over the internet. From our headquarters in Sweden we have created a robust, reliable and easy-to-use solution for social media, sports, news/broadcast contribution & distribution. With solutions for esport, remote production, network bonding, contribution and distribution our ever growing customer base includes companies like ESL, Lagardere, BR, Freaks4you, Plazamedia, FUEL.tv, COMCAST, RBB and many more. This open platform “ecosystem” offers a future proof transition to a full IP infrastructure.

Viaccess-Orca – Why AI-Based Targeted TV Advertising is a Must for Operators

This presentation will examine the benefits of targeted advertising for viewers, advertisers, and operators, as well as some of the delivery challenges. Attendees will learn how operators can collect viewer data and enhance decisions related to targeted advertising using artificial intelligence. By providing invaluable insights into what content is popular and what’s not, data and analytics help to improve the relevance of content and advertising delivered by service providers to individual viewers and households.

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Jump Data Driven Video – OTT Churn modeling – From statistics to big data and artificial intelligence

New intelligence introduces a new dimension to video service churn management because it paves the way for service providers to act on an individual at-risk customer basis, tailoring their actions in accordance with each of these variables identified as increasing individual churn risk levels!

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Vidispine – an Arvato Systems Brand – Performance Prediction in a MAM system

In this presentation, we will look at how artificial intelligence can learn to produce highly accurate duration estimations, even for complex workflows. The presentation has a technical focus, starting from the initial collection of requirements and working through the modelling process and evaluation, before looking at how such a solution could be deployed. Finally, we’ll look at how such a solution could be integrated into workflows to automate decisions such as “red line” workflows, or pre-emptively scale systems for load.

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