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Easily process and deliver content with Eolementhe, the collaborative media tool box! Eolementhe is a media workflow platform that offers multiple effective tools for every feature, available through an intuitive interface: transcoding, quality control, loudness, technical and editorial metadata, speech-to-text, multilingual subtitles, AI… Your TX-ready content is then delivered to all kind of platforms: dedicated and cloud storage, ftp, CDN, Youtube, Dropbox, social networks etc. This combination of automated tools with the option of human intervention (modifications and validation) makes Eolementhe a best of breed solution! Main clients who trust us for their media workflow: European Parliament, Deluxe Media Paris, France Médias Monde, NRJ 12, INA, Adstream, Euronews…

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Tag: Artificial Intelligence

VIDEOMENTHE

Easily process and deliver content with Eolementhe, the collaborative media tool box! Eolementhe is a media workflow platform that offers multiple effective tools for every feature, available through an intuitive interface: transcoding, quality control, loudness, technical and editorial metadata, speech-to-text, multilingual subtitles, AI… Your TX-ready content is then delivered to all kind of platforms: dedicated and cloud storage, ftp, CDN, Youtube, Dropbox, social networks etc. This combination of automated tools with the option of human intervention (modifications and validation) makes Eolementhe a best of breed solution! Main clients who trust us for their media workflow: European Parliament, Deluxe Media Paris, France Médias Monde, NRJ 12, INA, Adstream, Euronews…

GrayMeta

GrayMeta supports the digital transformation of organizations seeking to realize the benefits of metadata that reduce operational costs, ensure content integrity, and unlock the monetization of digital assets. Our products enable companies to transform physical assets to digital, connect to, and access content from anywhere, and create valuable metadata using machine learning & AI services.

Meta

Meta enables customers to store identification, editorial, technical, rights, discovery and AI-generated content metadata for media and entertainment catalogues. It also stores additional metadata assets like images and videos that are required to complete a dynamic and compelling user experience. The VOD explosion highlights the fact that historically distinct metadata types have been managed in fragmentary ways. The volume of AI generated metadata simply compounds the problem. Meta takes the logical & elegant step of storing all types of content metadata side-by-side, in a platform optimised for performance.

We all need near 100% in everything. Is that possible with AI?

Media & Entertainment (M&E) organizations have for some time been experimenting with AI to solve business challenges with limited success. Near 100% accurate data is an ask in some use cases, for which off the shelf AI solutions have failed to deliver. Add to this data that is not actionable, and the problem of effort, time, and cost overruns get compounded.

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Xilinx

The market is rapidly migrating to 4K and 8K video with higher dynamic range and higher frame rates, as well as adopting IP-based transport protocols. This leads to increasing demands for connectivity bandwidth, storage, real-time video processing performance and low latency compression, with the ability to differentiate through video quality improvements and features. These feature sets are also beginning to include machine learning and AI for video analytics, workflow optimisation and codec bitrate savings. Building on fully adaptable and intelligent platforms from Xilinx results in highly integrated and cost-optimised products with tight coupling between embedded software and multichannel AV processing pipelines. Xilinx and our partners provide IP for standard AV building blocks, with tools to enable development and integration of your own algorithms with various levels of abstraction. Building UHD, AV-over-IP and machine learning technologies on Xilinx programmable platforms will increase your ability to differentiate, save costs and accelerate time-to-market.

Skyline Communications

Skyline Communications is the global leading supplier of end-to-end multi-vendor NMS, OSS and orchestration software solutions for the broadband and media industry. Its flagship DataMiner network management platform enables end-to-end integration of the most complex technical ecosystems and has been deployed by leading operators around the world. The platform heralds a new generation of sophisticated artificial-intelligence-powered solutions and comprises highly innovative features, such as the brand-new DataMiner Augmented Operation concept. The company has offices in Belgium, Portugal, Singapore and the US, a permanent presence in Brazil, Colombia, France, Germany, India, Indonesia, Malaysia, Mexico, Philippines, Russia, and the UK, and a vast network of local partners around the world. Founded in 1985, Skyline has decades of industry-specific NMS and OSS expertise. The company remains a 100% independent NMS/OSS software publisher even today, with over 300 employees and over 6000 systems deployed in more than 125 countries. Not only Skyline's DataMiner platform has received various prestigious awards, but the company itself has also been awarded multiple times for innovation, growth and excellence.

Current Applications of Machine Learning and Artificial Intelligence in M&E

While the impact of ML and AI have been discussed and debated for years, practical applications are fast accelerating across the media supply chain. The pace of innovation is moving quickly and with the cloud wars in full force, there are new services becoming available all the time that offer novel ways to automate tasks with ML and AI. Already, the big three cloud providers — AWS, Azure, and Google — have rolled out powerful capabilities that help with essential tasks including captioning, transcription, and even object/facial recognition to bolster compliance edits and to augment metadata. For media organizations, the implications of these solutions are vast, and we’ve already begun to see their power.  With things moving so fast, though, it’s challenging to keep up and important to have the right architecture and structure in place to take advantage of these innovations.

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Customizing AI for Sports

World cups, league tournaments, Grand Slams and Super Bowl! It’s safe to say that the buzz around sports is never-ending. However, the prevailing situation is a challenging run for sports and fans, alike. There has been a steep slump in viewership over the last couple of months. ESPN’s viewership has dropped by 50%, while the NBA has seen a 14% decline in viewership contrasted to 2019. The current pandemic has affected many sections of the sports media due to social distancing measures and government-imposed restrictions. Nonetheless, sports fans across the world seem to be eagerly awaiting their next game. A study conducted by Forbes about sports fans showed that though there has been a lack of live games, fans are as hopeful as ever. For instance, the Green Bay Packers that compete in the NFL have a season-ticket waiting list with 137,000 people. This brings up the inquiry - how can sporting leagues and broadcasters improvise to keep fans at the centre and what role can technology play when it comes to fan engagement?

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In Conversation with Bitmovin & Plume

In this panel discussion with Reinhard Grandl (Head of Product, Bitmovin) & Bill McFarland (CTO, Plume), we hear about their key markets and the differences in each of these markets. We hear how Covid-19 has affected their business along with the biggest challenges they have faced during the crisis.

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In Conversation with Metaliquid

In this IABM TV interview, Maria Lodolo D'Oria (Head of Sales, Metaliquid) discusses the current state of recognition technology in the broadcast and media industry.

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