Home / ANALYSIS / Acing analytics with AI

Acing analytics with AI

by Adrian Pennington on Oct 5, 2017

Looking to 2020

This is one of the most rapidly growing tech trends in the industry. Capabilities – even just three years from now – will far exceed what is currently possible.

“We will see leaps in GPUs (graphics processing units) and CPUs (central processing units) to power cognitive apps that will allow us to train much more complex models and expand the range of things that a neural network can handle,” says Dutt.

Niall Duffy, CMO at Virtual AI, which specialises in robotic process automations, predicts that by 2020 AI will be able to compile schedules and automatically edit or version ‘standardised’ video content (i.e. where editing is more predictable) for updating videos on social media or compiling highlights packages.  “It will also start delivering personalised content in a fine-grained manner, rather than the more blunt-force approaches of today,” he says.

As companies like Microsoft open up their AI libraries and functionality within their cloud products, it allows the tools to be used to automatically analyse content and write or extract metadata. That subsequently enables providers to focus on processing content in a meaningful way, and as AI algorithms get better, more content will be processed by using them.

Cantemo’s Child forecasts that personalised video content will be generated based on audience profiles, behaviours, and locations. “There’s already a great deal of investment from media companies capturing detailed information about viewers to enable them to serve personalised content and ads,” he says. “Using video intelligence, this process can be automated and much more accurate, meaning consumers only get content that is highly relevant and interesting to them.”

Oliver Botti, head of international business development at Fincons Group, agrees, linking AI with the shift of TV away from being used by advertisers as a mere ‘shop window’ and towards becoming an interactive ‘store’. 

“In the near future, moves will be made to further integrate mobile viewing screens and TV in the intelligent home environment, further increasing the volume of potential data served up for analysis,” he says. “As brands start to experiment with broadband/broadcast convergence, editorial models of traditional TV will combine with self-service or recommendation-based models typical of web and mobile, towards new data-driven paradigms: here is where AI will increasingly stand out as a critical tool to help broadcasters tap into innovative advertising, content, and service offerings.”

What artificial intelligence and machine learning are unlikely to solve any time soon are challenges that require empathy, social intelligence, and creative intelligence. However, if today’s mindset is man versus machine, the future – according to consultants PwC – is that man and machine together can be even better than human. 


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