Data Trends and the Power of Fintech: Alexis Asks

On National Fintech Day, we examine the continued collaboration between AI and financial technology (Fintech), recognizing these services and the features of these solutions.

Emerging data tools are reshaping business, driving innovation and efficiency. Today, National Fintech Day, we examine the continued collaboration between AI and financial technology (Fintech), recognizing these services and the features of these solutions.

Julian Harris, CEO of RobobAI, says, "If your data isn’t AI-ready, it makes it much harder to apply AI tools to other parts of your business." As Harris explains, AI can help large organizations solve challenges of large data sets, get the most accurate view of current data and future projections and offer cost effective planning at large volumes. 

AI's ability to analyze vast amounts of data in real time enables customization of financial services.

Today, Fintech companies are using AI algorithms to tailor products and services to individual customer needs, enhancing user experience and increasing customer retention. Harnessing real-time insights, businesses can process and interpret data as it's generated, allowing for quicker decision-making.

Analysis of such data helps create an accurate view for future projections. Across an entire company, the lack of a single source of data-based truth can create enormous problems; Harris says, AI solves these issues.

The integration of AI in Fintech is leading to significant advancements in data management. Embracing the possibilities of personalization in the process of choosing and using these technologies, businesses can drive their success and bottom line, while improving consumer trust and regulatory compliance. 

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This article originally appeared in Supply & Demand Chain Executive.  Read the source article here.