How U.S. Bank Uses A.I. and Machine Learning to Deeply Personalize Your Banking Experience

2019年4月15日 2 min read
 
Your fingerprint is unique. With more than 300M people in the United States, no one has the same fingerprint.  Similar to your fingerprint, U.S. Bank realizes that your banking and financial needs and expectations are uniquely yours.
 
Yet too often, banks and finance institutions apply broad brush-strokes to target your perceived needs and wants instead of monitoring the breadcrumbs and signals that customers give every day that infer what they want. Seeking to understand what makes you unique and your journey to improving financial success, U.S. Bank is using AI and ML to predict and deeply personalize the banking experience for its customers, bringing new products and better solutions to their financial needs, ultimately being one step ahead of their customers. 
 
If you have ever been a victim of suspected fraudulent activity on your account, you know it is a frustrating and disruptive experience.
 
U.S. Bank is able to minimize your disruptions and provide quicker return to access; unlocking access for you while locking out fraudsters. They do so by analyzing all available data including your unique touchpoints to identify you from the fraudsters. As quick as their models may react, fraudsters react and adjust. A model that worked three months ago may not work today. U.S. Bank must be smarter and faster than the fraudsters and that is where ML comes into play.
  U.S. Bank is endeavoring the use of AI to improve every touchpoint, every business line, and every function to better predict and personalize the banking experience.
 
David Berglund, Senior Vice President and AI Leader, refers to this AI journey as a “seamless spectrum that effortlessly solves problems.” All channels and processes are under consideration. This approach allows them to use AI and ML to help with:
 
  • U.S. Bank's mission;
  • Customer journey and building better products;
  • Deeply personalizing and scaling Treasury and retail customers; and
  • Lowering fraud and internal operating costs.

Above all else and before taking any first step, U.S. Bank asks themselves,
 
“Does this fit with our strategy? Does it fit with who we are?”
 
This is about living up to their mission. U.S. Bank is building relationships on trust that happens every day through interactions. 
 
Teradata is proud to be a partner of U.S. Bank.  
 

关于我们 Katherine Knowles-Marchione

Teradata’s customers are changing the world by finding answers to the toughest challenges and powering the new era of Pervasive Data Intelligence. Katherine Knowles-Marchione leads Teradata’s Global Customer Engagement and Advocacy team who is laser focused on creating opportunities for the voice of our customers to tell their story. She brings more than 25 years of technology and industry business expertise. With sales and marketing expertise, Katherine and her team uncover innovative solutions that detail business use-cases with measurable results by conversing with global customers encompassing people, process, and technology.
 

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关于我们 Travis Sterne

Travis Sterne is a part of Teradata’s Global Customer Engagement and Advocacy team. He brings over a decade of storytelling experience to brands to life by communicating customer outcomes through technology. Travis’ career has spanned pre-sales, product management, global brand and technology markeing campaigns for leading SaaS, cloud, and data companies.
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