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KPMG partners with Aiimi to roll out workplace AI platform

The move is part of its ongoing push to improve its data management and artificial intelligence (AI) use.
1 min read

KPMG has signed a three-year contract with UK based technology company, Aiimi to roll out the Workplace AI platform across its business. 

The move is part of its ongoing push to improve its data management and artificial intelligence (AI) use.

The new agreement builds on a pilot project that tested the Workplace AI platform at KPMG.

The next stage will see Aiimi consultants and the platform work on bringing together, classifying and refining KPMG’s data. 

This is expected to help secure sensitive information and give consultants better access to the insights they need, supporting KPMG’s services for clients and helping it meet changing regulatory standards. 

The platform is also expected to help lay the foundations needed for future AI solutions.

Steve Salvin, CEO and founder of Aiimi, said: “KPMG is one of the largest professional services firms in the world with data and AI ambitions to match. 

“Our job is to help the Big Four firm realise these ambitions. 

“The complex regulatory landscape and data estate KPMG operates within is where Aiimi thrives – something the pilot proved when it put our Workplace AI platform through its paces.”

Salvin added: “Now, our team is looking forward to working alongside KPMG and putting the platform to work. 

“The opportunities this challenge offers is what makes it exciting.”

Chris Allen, chief data officer at KPMG UK, said: “The rise of AI technologies means Information Management and Data Governance have never been more critical. 

“To have trust in AI outputs you must first have trust in your underlying data. 

“The Aiimi platform gives us that trust. It helps us better understand what data we have across the estate.”

Allen added: “If data has limited value and there’s no regulatory requirement to retain it; we delete it. 

“If it’s something we want to keep then Aiimi helps us to intelligently classify that data, tag it in-situ and make it available to downstream AI applications in a way which respects retention rules, access controls, and the contractual obligations we have to our clients and audited entities.”

Marvin Onumonu

Marvin Onumonu is a Reporter for Workplace Journal and The Intermediary

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