In this interview, we catch up with VoiceInteraction CEO João Neto to hear about the importance of Machine Learning and AI Technology for the company. João tells us about their expectation in the Media and Broadcast market along with the evolution of closed captioning in the past few years. We hear about VoiceInteraction’s latest products and their main features and competitive advantages along with João’s main goals for the company in 2021.
Artificial Intelligence is poised to have a transformational impact on the Media & Entertainment industry in the New Normal. For the first time, three industry leaders of the AI transformation ecosystem are joining forces to explore one of the most pressing needs of the media industry in the new normal - Unlocking the monetization potentials of existing content archives. Join us for the webinar to learn how to build and scale AI capabilities for media and sports enterprises.
Read this e-guide to learn why Video Intelligence is important for the Media and Sports Industry and how to use specialized Video Intelligence to derive business value. Explore Video Intelligence for Media and Sports enterprises and its importance in enhancing customer experience with this guide.
It’s fair to say that this past year we’ve been up, down and all around. Literally overnight lives changed drastically and for the first time we were living through the kind of global pandemic that we’d only read about in history books. I think we can all agree that we’re living in unprecedented times. That said, despite the extremely low lows of 2020 there were also some silver linings. With international lockdown and increasing work from home orders, many families were reunited, pollution rates steadily dwindled, digitization peaked, the season of innovation flourished.. and hey we were also graced with free balcony concerts from across the globe!
By Olivier Jorda, Global Media & Entertainment Director, Oracle Industry Solutions Group Content has always been king in the media and entertainment (M&E) industry, but when it comes to today’s white-hot competitive landscape, it’s also a key differentiator. Unfortunately, aggregating content simply isn’t enough to win eyeballs and loyal subscribers.
In this IABM TV interview, Marc Stevens (CEO, Zorroa) gives an overview of Zorroa’s ML platform including who it's built for, it's common use cases, and how it is helping organizations solve challenges in the ML space.
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.
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.
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 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.