An eye for AI: James Gilding at Mitie Document Management discusses

We all know that AI (artificial intelligence) and machine learning are among the buzzwords that frequently come up in meetings or discussions around innovation and problem solving. It’s also heavily mooted as a key part of proposed requirements by some supply partners. So, what is AI and how should it be approached to deliver organisational benefits? There are numerous definitions out there, so I’ve tried to take the best of what’s on the web and consolidate it.

• AI is designed to replicate cognitive tasks and/or simulate human intelligence.

• AI is often ‘trained’ for a particular requirement or task.

• AI systems can be defined as weak (narrow AI) or strong (artificial general intelligence), based on their ability to find a solution when presented with unfamiliar tasks and without the need for further human interaction.

We’re probably all using ‘AI’ in areas of our businesses already, without even realising it. Your marketing department is probably using AI-based applications for their online campaigns and social media activity. Many banking applications, in both our personal and business lives, have AI running in the background, and we use machine learning to help improve document production, and workflow and data management. And yet, only 8% of businesses consider themselves digitally transformed. There’s still substantial scope to introduce new ways of working and better process automation across all sectors and business areas. Gartner reports that global spend on AI is over $1.2bn (£990m) a year – which is considerable, particularly when you realise that is just a small section of the digital-workspace opportunity. So, where’s it all going?

This article was first published in the September 2019 issue of Briefing 'Hot data'.

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