CIO
FEBRUARY 16, 2024
The implications of generative AI on business and society are widely documented, but the banking sector faces a set of unique opportunities and challenges when it comes to adoption. If banks are to put their faith in AI, then transparency will be key to building trust. This is a problem banking leaders are increasingly aware of.
CIO
OCTOBER 20, 2023
For banks, data-driven decisions based on rich customer insight can drive personalized and engaging experiences and provide opportunities to find efficiencies and reduce costs. For Bud, the highly scalable, highly reliable DataStax Astra DB is the backbone, allowing them to process hundreds of thousands of banking transactions a second.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
TechCrunch
FEBRUARY 14, 2023
Banks aren’t letting fintechs have all the fun when it comes to using technology, providing an opening for startups to show them what they got. In the same vein as companies like Flourish Fi , Treasury Prime , Savana and Amount offering software for banks, ModernFi is providing a marketplace for banks to exchange deposits on demand.
CIO
JULY 20, 2023
Workflow automation and data analytics are streamlining document management, cross-checking data, assessing for risk, ensuring regulatory compliance, and so on. Banks continue investing in technologies that make the customer experience seamless, including mobile apps and peer-to-peer payments. Security and privacy.
Advertiser: Data Robot
Banks have always relied on predictions to make their decisions. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.
TechCrunch
JULY 16, 2021
Long before the pandemic, the way in which banks were regulated was changing. Initiatives like Open Banking and the Revised Payment Services Directive (PSD2) were being proposed as a way to promote competition in the banking industry — allowing smaller challenger firms to break into a market that has long been dominated by corporate titans.
CIO
FEBRUARY 10, 2023
Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. As such it can help adopters find ways to save and earn money.
Advertiser: Data Robot
Banks have always relied on predictions to make their decisions. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.
Expert insights. Personalized for you.
298 
Let's personalize your content