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How to use AI in Transformation Projects

In fintech's AI-driven transformation, it's not merely about constructing complex models but rather integrating technology, business rules, and APIs with a keen focus on solving customer problems and enhancing operational efficiencies.
In the rapidly evolving fintech sector, the challenge of updating and transforming decades-old systems is more pressing than ever. These legacy systems, originally designed in a different tech era, now stand at the crossroads of innovation and obsolescence. The quest to integrate automation and contemporary technological stacks is not just a matter of keeping up with the times; it's about reshaping the future of finance to deliver unparalleled benefits to end consumers. This transformation journey, however, is riddled with complexities, particularly in identifying the most impactful use cases and making a compelling business case for the change. Identifying Transformation Opportunities in Fintech At the heart of fintech transformation lies the potential of Artificial Intelligence (AI
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Picture of Erum Manzoor
Erum Manzoor
Erum Manzoor is a distinguished member of various Women In Technology forums and a recognized speaker at World forums. She has been honored with a Leadership award in Creative Thinking and Decisive Leadership, underscoring her exceptional capabilities in the field. As a seasoned technology leader, Erum boasts a proven track record of spearheading transformational initiatives that yield tangible results. Her expertise lies in adeptly navigating ambiguity, orchestrating intricate digital programs, and fostering high-performing teams at scale.
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