The initial euphoria over AL/ML seems to have died down in the M&E industry. Our research shows that many M&E players have run AI initiatives with different vendors but have not achieved anything substantial enough to solve their business problems. Though the demo was impressive, the project hit a wall at the Proof of Concept (PoC) stage because the AI solution did not work for their content! When the cycle was repeated with multiple vendors, they concluded that AI models are not available or mature enough to solve specific M&E business challenges.
Media Distillery – one year on from winning Dragons’ Den
One year on from winning at the Dragons’ Den session at the IABM Annual International Business Conference in 2019, we followed up with Geert Vos, Founder and CTO at Media Distillery, to see how things are going. Its winning proposition was a solution that guarantees deep content understanding in real time at large scale using AI.
What is the Future of News Production?
To answer this question, we need first to look at where we come from. What Dalet has done in the last ten years is to provide a very distinct approach to news production by combining the Newsroom Computer System and Media Production into a single platform. The result is one system – essentially an NRCS with a Media Asset Management core – that provides end to end workflows from Ingest to Production and Playout. It is built on a story-centric approach that allows for easy content sharing and re-purposing. A unified interface gives the reporter and the producer a comprehensive set of tools to access and transform the objects managed by the system: scripts, media pieces, wires, feeds, rundowns…
In Conversation with Media Distillery
In this IABM TV interview, Roland Sars (CEO, Media Distillery) discusses Media Distillery’s main product offerings and how customers are using video intelligence to drive a better user experience. Roland also discusses their priorities for the next 6-12 months.
In Conversation with Metaliquid
We catch up with Mataliquid’s Head of Sales Maria Lodolo D’Oria to find out more about their recent project with Minerva where they delivered a revolutionary viewing experience of the recent US Presidential Debates.
In Conversation with Digital Nirvana
In this IABM TV interview, Hiren Hindocha (CEO, Digital Nirvana) gives an update on Digital Nirvana including a snapshot of some of their upcoming products and the key technologies they plan to leverage going forward.
Digital Nirvana Blog – Accelerating the caption generation time and efficiency through Trance; the postproduction artificial intelligence (AI) captioning solution
As a not-for-profit organization with more than 700,000 members, USTA invests 100% of its proceeds to promote and develop the growth of tennis from the grassroots to the professional levels. To that end, the association makes a broad array of high-value video content available for free streaming from its website and social media platforms. Content ranges from instructional videos and training courses to up-to-the-minute highlight reels from some of the most-watched events in the tennis world, such as the U.S. Open.
Direct to Consumer promotions today require higher number of edits. Can AI help?
Video consumption on OTT platforms has gathered rapid momentum in the last couple of years, peaking significantly in the past few months – thanks to the audience being locked down due to COVID19 pandemic. With so many platforms and so much of content available for consumption today, OTT players are hard pressed for time to create the buzz and differentiation for their shows across media.
In Conversation with THEO Technologies
In this IABM TV interview, Pieter-Jan Speelmans (CTO, THEO Technologies) discusses the biggest challenges customers are facing, how the industry is currently moving, and the biggest innovations the THEO team is working on.
Vidispine – an Arvato Systems Brand – How advanced AI improve rating prediction
Ratings forecasts are critical for broadcasters in defining their prices and sales models, models that are becoming increasingly complex as broadcasters look to offer cross platform campaigns to com-pete with newcomers disrupting the market. Advertisers want to know how and when they will hit their target (GRPs or impressions). Broadcasters want to know that they can deliver on their contracts but also without massively over delivering and losing potential revenue. At the same time, the accurate prediction of ratings, for a human, takes years of experience and practice and proves a significant succession planning challenge for broadcasters.
