How Artificial Intelligence Improves Real-Time Data for Investors

In today’s fast-evolving investment landscape, artificial intelligence (AI) is transforming how investors and portfolio managers manage and leverage data, as outlined in Fintech Global. New developments are reshaping data acquisition, processing, and access, giving financial institutions a competitive edge.

In a recent conversation with FinTech Global, Jamil Jiva, Executive Vice President at Linedata, emphasized the growing importance of AI in data management.

Improved Data Acquisition:
AI facilitates gathering data from multiple sources and merging them seamlessly. Jiva noted, «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.»

Faster Data Transformation:
Processing data from various sources becomes faster with AI, surpassing traditional manual workflows. According to Jiva, this allows humans to focus on more value-added tasks, while AI handles the heavy lifting.

Timely Access to Relevant Data:
AI also addresses the challenge of identifying the right data promptly. Jiva explained, «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 enhances near real-time decision-making, enabling portfolio managers to act swiftly in a competitive market. Jiva concluded, «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.»

By streamlining data management, AI adds significant value for investors and their customers, providing faster insights and more precise strategies.