Data management is a vital part of the investment management world and new advancements in technology, particularly AI, is helping to transform how investors and portfolio managers can leverage their data.
FinTech Global recently spoke to Jamil Jiva, Executive Vice President at Linedata, to get his thoughts on the role of data management in the AI lifecycle.
During the discussion, Jiva outlined that AI has helped across almost all aspects of Linedata’s data management.
Starting with data acquisition, AI has helped to get better data and enable institutions to have multiple sources of data and collate all of this information. He added, “When you mix that with all the work that was done the past few years on creating open ecosystem through open APIs, it has completely changed the amount of data institutions can take in and therefore the quality of data.”
Another area AI has helped data management is the transformation of data, taking multiple sources and putting it into context, has been much faster compared to human-based workflows. This allows AI to handle the heavy lifting and getting data ready, while humans can spend their time focusing on the value-added tasks.
Jiva also pointed to AI having improved access to data. He said, “As you’re getting a lot of data, an issue that starts to rise pretty quickly is how do you get to the right data at the right time. AI has helped get access to very specific data at the right time.
“It has also enabled the timeline. Generally, in today’s world you want to be as close to real-time as possible, because it helps you make decisions faster and give you an edge. AI has really helped to manage an incredible amount of data almost in real-time and therefore help portfolio managers and investors make decisions quickly and reposition themselves and has brought a lot of value for their customers in the process.”
Watch the full interview for more of Jiva’s insights.
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