Catalyst BI to become first UK MSP for DataRobot

Partnership set to improve access to AI and predictive analytics for UK SMEs

Data specialist Catalyst BI has become the first preferred UK Managed Service Provider (MSP) for AI Cloud leader, DataRobot. The partnership sees the launch of the Catalyst AI Cloud; opening up access to AI and predictive analytics for SMEs and other organisations across the UK, by removing the need for substantial investments in technical skills or software platforms.

The move will see Catalyst BI working closely with the public and private sectors to improve AI maturity, while helping to define key use cases within the business for predictive analysis.

Catalyst BI Co-Founder and Sales and Marketing Director, Mike Cawthorn, said: “This partnership is great news for SMEs and other UK organisations as it levels out the playing field by removing the existing financial and resource barriers to data analysis and management – a pre-requisite that has set UK SMEs back on smart data-driven decision making until now.

“Catalyst AI Cloud will enable us to bring predictive modelling and machine learning to clients, helping them to leverage their data to its fullest potential by creating predictive solutions to solve real-life problems. We are delighted to be partnering with DataRobot to bring this much-needed sector development to fruition.”

Ceire McQuaid, Vice President, UKI, DataRobot, said: “We’re pleased to be partnering with Catalyst, whose deep domain expertise adds great value to this partnership. It will enable UK businesses to leverage our deep expertise to deliver industry specific solutions and make applied AI a reality for as many businesses as possible.”

Established in 2014, Catalyst BI works with public and private sector organisations across the UK to integrate and utilise data, analytics and intelligent automation, to maximise operational efficiency and deliver smart decisions.

Catalyst BI challenges organisations to unlock insights, drive performance and create value by bringing people and data together.