Following the financial crisis, firms cut costs by deploying cheaper data technologies, such as Hadoop, and attempted to grow profits by diversifying revenue streams. However, the industry is lagging when it comes to monetizing data, Jiang told attendees.
The key challenges are the absence of a clear business case for getting funding and the burden of legacy technologies, and siloed databases, Jiang said. "If the business is siloed, by nature, the data is siloed," he added.
In response, Capgemin
Should regulators take a more active role when it comes to AI oversight, or leave it to the professionals? What will M&A look like in 2018?Subscribe to Weekly Wrap emails