About a month ago, Financial Services leaders gathered in Las Vegas for a special invite-only event ahead of Money 20/20, RealMachine.AI. The event was devoted to discussing the implications of artificial intelligence (AI) technologies such as machine learning.
Hosted by Feedzai, it provided a valuable forum for companies to collaborate and share insights on this increasingly important emerging market. As you’ve probably read recently, while AI appeared originally in the 1950s, it is experiencing new prominence given the explosion of computational power, data, connected devices, and cloud services.
Much of the event’s discussions centered on how AI can help organizations combat mounting pressures related to rising regulatory requirements, competition from new market entrants, heightened expectations from consumers and increasingly sophisticated digital threats.
Advanced NLG and Financial Services Organizations
Narrative Science Chief Scientist, Kristian Hammond, took the stage to talk about how advanced natural language generation, a subfield of AI, is helping financial services organizations satisfy regulatory requirements and enable personalized customer communications. He shared examples ranging from wealth management to fraud reporting to anti-money laundering (AML).
His key message? In a world where data is growing at tremendous rates every day, Advanced NLG is our true partner for quickly distilling meaning from it and guiding us to take to the right action.