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Deloitte Consulting LLP discusses why the stage is now set for banks to take full advantage of cognitive computing and machine intelligence.
Advances in data storage and analytics can drive revenue and lead to better credit decisions. And in this game, traditional banks actually have an advantage.
Investing in data quality can provide a range of substantial cost savings by improving the productivity of the analytical risk management processes.
Financial technology startups are proving that innovation in the financial services industry will likely come from a smart use of quality data rather than its scale.
U.S. Bank's head of human resources, Jennie Carlson, discusses her efforts to get more diversity in the C-suite.
The real value in digitization is the data modern technology can unlock.
Banks are considered leaders in data analytics, but some banks aren’t doing a great job of translating data analytics into better customer service and smarter relationship development.
Banks can use data to better understand the risks and profitability of each loan, and make better pricing decisions.
Bank leaders should address these obstacles to enhance the use of data analytics.
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