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
Jesse Lund talks about real uses for DLT in the capital markets, lessons learned while rolling out IBM's blockchain platform, and what’s ahead for 2018, and into 2019.Subscribe to Weekly Wrap emails