banking

Use your data advantage to stay ahead of the pack.

As banks deal with increasing pressure from FinTech startups who are luring customers away from key products, many are looking at AI to entice new customers, increase efficiency and reduce risk.

Sitting on troves of valuable information, established banks have a data advantage when it comes to harnessing the promises of AI, but in order to succeed, they must overcome organizational, regulatory and tooling challenges.

Banking Tableau

Key AI Opportunities

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Compete

  • Algorithmic trading
  • Fund management
  • Customer segmentation
  • Lending to credit-invisible consumers
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Reduce costs

  • AI chat bots reducing support costs
  • Automated document analysis
  • AI bots for routine back office tasks
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Reduce risk

  • Fraud detection
  • Anti-money laundering
  • Cyber security
  • Proactive churn management
  • Increased risk accuracy

Key AI challenges

  • Transitioning machine learning initiatives from R&D to day-to-day business
  • Enabling AI teams with state-of-the-art tooling and latest open source offerings
  • Integrating Machine Learning into Model Risk Management processes
  • Fending off Fintech challengers
  • Reacting to the needs of increasingly demanding corporate treasurers

How can Dotscience help?

Dotscience gives your AI teams the tools and processes they need, while providing insight for managers and customers and oversight for auditors and regulators.

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