Gurpreet Singh

For decades, the finance industry has excelled at applying the latest computing advances to time series data analysis. The technical challenges to be mastered include capturing realtime data, serving it up as query responses or as datastreams, running increasingly advanced analytics on it, and providing a variety of users with displays and APIs that facilitate insight.

Ever-increasing demands from the business, the growth of new AI workloads, and the increasing pull of public clouds call for faster and more flexible ways to get data where it’s needed in computations. Fortunately, the vendor community is competing and collaborating to solve these problems.