As The Verge put it, “the AI boom is taking over the world”. For the second year running, an AI Index has been published, documenting many metrics regarding how different business are incorporating elements of AI, how more academic organisations are investigating the power of the technology and how successful this integration has been. Using data form over 1,000 AI companies and reports from across the globe, the AI Index 2018 represents the progress that has been made this year.
While this nearly 100-page report covers many topics and is bursting with useful pieces of information, here are some of the most important for the video industry.
Almost across the board, most topics within AI have grown in popularity, but none more so than machine learning. Francesa Rossi of IBM states that it is “very successful in many applications since it can discover hidden correlations within huge amounts of data. This allows you to make very accurate predictions.”
Rossi has a very strong point regarding the power of machine learning and it’s power within all applications whether it be for commercial or governmental use. However, it is clear that this is not a holistic solution. While machine learning can help us achieve brand new insights into the video industry, it is important to note that this needs to be monitored from a human side to take contextual information into account. “In many domains, we need to go beyond correlation and derive causality information, in order to move from prediction to intervention and be able to shape the future.”
The value in prediction information is invaluable to media companies who look to counteract churn, stabilise viewing platforms and create an overall improved QoE.
Whether it’s being used to allow employees to clock into work or add invaluable data to the product development process, AI has been implemented into almost half of all telecommunication businesses.
However, while this has been a generally successful endeavour, it has not been without its hiccups. Michael Chui from McKinsey & Company states that there was “widespread adoption of different AI technologies across sectors, functions, and geographies around the world; about half of all companies had embedded AI into a corporate business process. However, it’s still early; most had not yet adopted the complementary practices necessary to capture value from AI at scale.”
AI was a growing subject of research papers in every country documented between 2016 and 2017, but the topic is still dominated by the US and China. Of the 761 papers that ended up being published, 33% came from the US and 34% came from China.
Max Gayler on December 14th 2018
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