Perifery – Bringing AI innovation to the Edge

The media industry is experiencing the transformative impact of AI and ML technologies. These innovations have revolutionised various aspects of content creation, distribution, marketing, and monetization.

AI on entertainment platforms has led to a host of benefits, including data-driven enhanced efficiency, better personalization, and more informed program and content decision-making capabilities. AI in media production and post production has enhanced light ray rendering capabilities and can even edit the production using prescribed user preferences. In sports, AI editing can go as far as making whole game highlight reels. In archive semantic AI can discover scenes with car chases or even romantic scenes. There is no longer a debate about whether AI will happen; it is here, and it is here to stay.

Combining Media Evolution and Revolution – Codemill

Media and entertainment is a well-established industry, with a heritage to be proud of. But maintaining a pivotal role in the consumer landscape for several decades comes with a unique set of challenges. As media and broadcast has evolved from a handful of linear channels through to a multi-platform ecosystem, more content needs to be reformatted and repurposed to reach an increasingly fragmented audience.

And now for something completely different – Spicy Mango

You don’t need to be Nostradamus to work out that linear TV will one day go the way of Monty Python’s parrot: it will cease to be. The timing, however, is less predictable. Because unlike Python’s Norwegian Blue, scheduled TV continues to provide meaningful company in our living rooms. It will inevitably fall from its perch, but with a sizeable audience still feeding it, there’s plenty of life in the old thing yet. As legacy media inches towards a digital-only world, the prolonged squawk of scheduled TV is a major complication. Companies need to deliver for today while planning for a different tomorrow.

Digital Transformation: Staying Relevant in the Digital Age – Red Hat

The media industry has evolved over the past century, from inventions to disruptions in communication and new-age technologies. In the early 1900s, radio was the crucial link to information, followed by television which by the mid-1900s became the most potent medium for news and entertainment. The late 20th century introduced the internet, and service & media providers entered a new evolution of connectivity. Websites and social media platforms flood the market, providing more choices than ever before. In the 21st century, smartphones are standard, and content consumption requires anytime, to any device, and anywhere access. The traditional television model is disrupted with streaming services like Netflix and Hulu and social media becomes a primary source of news and entertainment with Facebook, Twitter, YouTube, etc.

An Optimized Playback Experience is Crucial to Viewers

The rapid development of streaming services worldwide tends to be dominated by discussions around content. Asking questions such as, who is producing it and how it’s being consumed. But in the understandable excitement around these new platforms and services, it’s clear that some key technical issues have been overlooked – none more so than the role of video players.

Red Hat – Introducing a new IABM member

Red Hat began by providing software to run on Linux about 30 years ago. As the largest open-source company in the world, we believe using an open source development model helps create more stable, secure, and innovative technologies. Our portfolio is broader, including hybrid cloud infrastructure, middleware, agile integration, cloud-native development, and management and automation solutions for service providers.

24 Hour Party People

Jeff Bezos once compared Amazon’s approach to customer experience to hosting a party 24/7. “We see our customers as invited guests to a party, and we are the hosts. It’s our job, every day, to make every important aspect of the customer experience a little bit better.” Bezos’ comments came way back in 2004. But they could just as easily be describing the challenges facing broadcast media today as brands look for growth in the OTT market.

DW Innovation – Towards Trustworthy AI in Media Tools

Broadcasters and media companies are implementing technologies powered by Artificial Intelligence (AI) and Machine Learning (ML) across the value chain. We see countless use cases for AI based automation or support and new opportunities keep emerging. So far, the focus has been on the usefulness of AI systems in terms of accuracy and performance in relation to a specific task. This is now changing with a wider uptake of AI, new capabilities for ML and public debates on this technology.

New Regions = New Revenue for Sports

Some sports are undoubtedly global leaders, with an audience to match. Then there are others, which enjoy immense popularity in certain markets but are less well known elsewhere. Ice Hockey, for instance, is a national obsession in Canada but is still relatively niche in the UK. Rugby has an estimated global following of 475 million people, but its popularity tends to be concentrated in specific regions. When it comes to building up a dedicated audience in new markets, there are several challenges that need to be overcome.

The OTT market is changing to put local content providers in the driving seat

Previously, specialist, regional and niche content providers had very few options when it came to monetizing their content. Try and deliver it themselves, and the results would often mean spiraling costs and limited functionality for their audience. Buddy up with a big player who’ll do the heavy lifting, but realize there is a limit to the rewards they would reap.

Perifery – Bringing AI innovation to the Edge