Kodak Alaris enters artificial intelligence arena to tackle data overload

Kodak Alaris looks to meet businesses big data needs

Kodak Alaris – the company formed from the ashes of camera company Eastman Kodak – has announced the next evolution of its business with the creation of a new artificial intelligence unit.

The new unit, called AI Foundry, aims to meet the needs of organisations that are gathering ever-increasing amounts of data but struggling to understand what it means and how to use it to improve their operations.

The unit is based on technology licensed from a German AI company called Ityx, in which Kodak Alaris has a stake.

Steve Butler, general manager of AI Foundry, said the idea of forming the unit as a separate entity within Kodak Alaris was to operate with a “startup mentality, within a billon dollar business”.

He said the firm is keen to capitalise on the growing big data trend within business.

“If we can go from capturing unstructured data in documents to helping to automate business processes, that could have a huge impact,” he told V3.

The firm’s first offering is a product called Info Insight, which it said is aimed at numerous markets including insurance, healthcare, retail, logistics and utilities.

It uses algorithms that can be used to bring semantic understanding to data gathered from unstructured communications, such as social media channels, text support chat services and email queries.

AI Foundry said the platform would continue to naturally evolve and improve over time as it dealt with more queries.

The importance of not just collecting data but actually taking action on it was underlined by Peter Sondergaard, senior vice president and head of research at Gartner, during a talk in Barcelona on Monday, attended by V3.

Organisations will be valued not just on their big data, but the algorithms that turn that data into actions and ultimately impact customers,” he said. “Algorithms are the innovations that make digital business work.

“If the most important thing you offer is data you are in trouble. Big data is not where the value is; sure data is necessary but it is transient,” he said.

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10 November 2015 | 2:48 pm – Source: v3.co.uk


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