Common Data Quality Challenges that can Impact AI and ML Models (Internet Services - Other Internet Services)

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Common Data Quality Challenges that can Impact AI and ML Models


Increasingly Financial Institutions (FIs)are focusing on data analytics as tool to develop a competitive edge in traditional market segments, as well as, in the under banked sectors of an economy. The challenge is to enhance customer experience, improve risk identification and assessment, and meet increasingly regulatory requirements.

To meet these challenges, FIs have been deploying state-of-the-art technologies to streamline current processes with the aim of improving efficiencies (thus reducing costs) and improve profitability, in an increasingly competitive marketplace. Concurrent to the effort, FIs are also developing and deploying initiatives to better serve small-to-medium size businesses as well as the under banked sector in pursuit of increasing market share and profitability. A key component is the deployment of big data that enables FIs to leverage the power of data analytics to improve customer experiences, manage risks, optimize operations, and make informed business decisions. It empowers FIs to unlock valuable insights from the vast amounts of data they generate and store, driving innovation and competitive advantage in the financial industry.
#cloud-based payment gateway | Aerapass

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Target Nation: All Nations
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Last Update : 24 February 2024 4:21 PM
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Item  Owner  : Aerapass
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2024-04-28 (0.221 sec)