57 ROUND TABLE AI
THIS MONTH’S FEED ROUND TABLE GUESTS ARE:
FEED: How will AI and machine learning benefit media businesses in the next few years? BHAVESH VAGHELA: There are many pay-TV operators that are just at the beginning of their data and AI journey, and understand that harnessing subscriber data can provide real valuable insight for pay-TV providers, but many don’t yet have the advanced machine learning or automated infrastructure to deploy business models that can utilise this data effectively, or with adequate scale. The way that the industry is advancing towards employing innovative approaches to harnessing this data means a pay-TV operator can access and provide an even better experience for the subscriber. We also see AI playing a key role in assisting operator resources with recommending the correct action for each and every subscriber at the right time, and most importantly in context, taking into account a provider’s history with the customer using machine learning. STUART COLEMAN: The opportunity for small businesses, agencies or individual workers to leverage these approaches is fast opening up. For much of the last 15 years the ability to apply machine learning or AI related tools and techniques was largely monopolised by big tech platforms, most notably the FANGs (Facebook, Amazon, Netflix, Google). Apple and Microsoft deserve a shout out because what has changed most in the last few years is the convergence of the wider technology ecosystem with increased accessibility to free, open source software which means there is no longer a technology price point to get this stuff working. The battle now is for the talent, skills and the capability to conceive, design, test and build or train the models!
BHAVESHVAGHELAPAYWIZARD Bhavesh is CEO of Paywizard, a SaaS-software business focused on supporting Pay-TV operators to grow loyal and paying subscribers around the world. Bhavesh has over 18 years’ experience in the IT, software and data analytics industries, and has been lucky enough to market both SaaS and on-premise software throughout EMEA, APAC and North America.
ANDREAS JACOBI: While it is tempting to assume that today’s AI can create entire highlight reels for distribution on their own, the reality is that they still need the assistance of a trained team to work efficiently. By combining AI’s ability to streamline the content acquisition and curation process with trained staff and existing workflows, broadcasters can cut their production costs, scale their operations at will and speed up content creation for multiplatform distribution. However in the longer-term future, and when AI/ML algorithms are trained, we can imagine whole live streams will be automatically generated based on preconfigured rules: the operator becomes the teacher, the AI/ML algorithm becomes the new operator. Operators will have the option to automatically trigger graphics or switch between content (to follow a specific cyclist in a race, for example) or automatically transfer segments to a different server. Looking ahead to the 2020 Summer Olympics, broadcasters around the globe will set new records for the number of feeds they ingest and the amount of programming they distribute. But imagine if they could acquire all the sources covering every minute of every event plus hyperlocal coverage of the fan experience within the venues, the excitement of Tokyo, plus live video from the athletes themselves. It would be a treasure trove of content but an overwhelming amount of video to manage. AI will enable video broadcasters to accelerate the curation and programming of all these new live feeds. We’ll see dynamically created, sport-specific, team-specific and athlete- specific live channels, interweaving authentic, hyperlocal live coverage, creating a whole new level of hyper- personalised viewing experiences.
STUARTCOLEMANSOUTHAMPTONDATA SCIENCEACADEMY Stuart is an associate partner with the Academy, a partnership between the University of Southampton’s Web Science Institute and global education provider Cambridge Education Group, bridging a recognised skills gap in data and technology by leveraging the latest research and world class tutoring in an online training delivery model.
ANDREASJACOBIMAKE.TV Andreas is the CEO & co-founder of Make.TV, the leading supplier of cloud- based, live mobile video acquisition and management solutions through its Live Video Cloud platform. A serial entrepreneur, Andreas has started a number of media and technology companies in Europe and holds patents in the field of cloud-based video production and consumption. He is also the recipient of awards from multiple industry organisations.
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