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July 08, 2020 | by Simon Powley
There are four critical areas FI's should focus on post-pandemic and determine what technology investments will provide adequate ROI. It's not about how advanced or impressive your technology is, but whether your customers and branch employees are cared for and collectively benefiting from it.
May 27, 2020 | by Diebold Nixdorf
The crisis has had a major impact on the way people pay and bank. Financial institutions (FIs) have needed to react quickly to offer banking services across their network of touchpoints, engage appropriately with clients and staff and at the same time keep operating in an efficient manner. Let's look at some potential realities in the "new normal," in the short term, near mid-term, and long-term within the banking industry.
February 17, 2020 | by Matthew Phillips
The future of banking could be closer than we think. From AI powered credit applications to ATMs offering loan applications. Whether its small incremental changes or organization-wide rollouts, there are key factors to consider to ensure innovation and change are managed effectively.
January 14, 2020 | by Diebold Nixdorf
On this podcast we discuss how to transform from traditional sourcing to an "as a service" economy. Today's consumers expect "anytime, anywhere" access to the self-service channel, leaving financial institutions with the challenge of optimizing availability without driving up costs.
November 04, 2019 | by Diebold Nixdorf
Discover how you can implement video capabilities.
September 19, 2019 | by Matthew Phillips
Banks that deliver personal financial management as a service can add value to existing services and elevate consumer engagement.
August 09, 2018 | by Diebold Nixdorf
On this episode, we’ll be talking about the upcoming Windows 10 software migration, and how financial institutions can look at this event not as an obstacle, but rather as an opportunity, and how banks, credit unions, and other FI’s can leverage the migration to their advantage.
March 19, 2018 | by Diebold Nixdorf
Our latest blog explores how we’re using patented machine learning algorithms based on more than 30 years of research work to deduce previously unknown fraud patterns by looking at highly complex Big Data sets in near real-time.