CIO Business Intelligence

OCTOBER 4, 2023

We’ve been working on this for over a decade, including transformer-based deep learning,” says Shivananda. Today we apply AI and ML across our business, including for fraud reduction, risk management, customer protection, personalized services, and global trade empowerment.”

Digital Transformation 117

Digital Transformation Deep Learning Data Lake Risk 117

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. While our analysis of each method may appear technical, we believe that understanding the tools available, and how to use them, is critical for all risk management teams.

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

BizAcuity

MARCH 31, 2022

of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Rinse, lather, repeat. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84