In the artificial intelligence and machine learning space, 2018 will see the rise of the intelligent application The application of artificial intelligence and machine learning will solve business problems and bring new ideas to life to continue into 2018 as companies strive to get the most business value and competitive advantage from their existing data Artificial intelligence (AI) is one of those technologies that excites the public and business imagination alike. Long since a favourite theme in science-fiction, it is now gaining traction in everyday practical scenarios.

In 2017, we saw a considerable rise in the adoption of AI around the world and across industries, with businesses using it to improve operations, generate new innovations and boost customer experience. With financial services, telecoms and high tech leading the way in bringing AI into the mainstream, and other areas such as automotive, healthcare, energy and retail also embracing it, we expect the rapid growth of AI to continue in 2018 as companies strive to get the most value and competitive advantage from the data they capture.

Let’s take a look at what’s been powering the rise of AI recently and what might be around the corner. Data is the fuel for AI.

As data collection, analysis and storage abilities dramatically improved over recent years, most companies found themselves with a huge potential resource and yet under equipped to wrestle with such high volumes of information. In 2017, that started to change, as the people skills made headway in catching up with the technology.

There remains a lot of complexity around how data is handled and used, but  businesses are starting to see a deeper understanding of the specific skills needed to help companies bear fruit from data, and how these can be mapped onto ‘personas’ they can train up, or recruit. Businesses are steadily learning how data scientists and AI developers work differently from traditional app developers, the tools they need, and how to bring them into app dev teams cohesively. Read more from…

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