Why successful AI needs fast data access

Sponsored Spending on artificial intelligence systems will grow from $37.5bn worldwide in 2019 to $97.9bn in 2023, according to IDC. And use cases cover everything from ERP, manufacturing software and content management to automated customer service agents, threat intelligence and fraud investigation. The number of smaller data centres in operation is also likely to increase, IDC analysts say. This will enable enterprises to navigate local data protection regulation and host AI workloads in edge computing environments to optimise application performance. However, respondents to Gartner's 2019 CIO Agenda survey indicate that data scope and quality continue to be major challenges to AI adoption.