Data Search and Discovery in Banking

Whitepaper
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This white paper explains some of the many challenges and use cases that banking companies face and need to solve for a successful implementation of Artificial Intelligence (AI) systems.

Data Search And Discovery In Banking

Banks seem to be adopting Artificial Intelligence (AI)  applications ranging from business process automation to credit scoring. Historically, banks have collected vast amounts of data records and efficiently navigating the vast data stores to gain valuable business insights involves understanding the capabilities of AI in information search and discovery applications for the banking sector.

This whitepaper from Emerj, the industry source for authoritative market research for the business applications of artificial intelligence, outlines:

  • The questions to ask to determine if your business’s data is ready for use with AI
  • How AI can be used for Search and discovery across disparate data types
  • Primary AI use cases in the banking industry
  • The business value that can be derived from implementing AI

In the banking sector, there are also challenges with data in terms of security and access, privacy, regulations and compliance, IP protection, and physical and digital barriers.

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This white paper explains some of the many challenges and use cases that banking companies face and need to solve for a successful implementation of Artificial Intelligence systems.