Events Financial Services Insurance Retail 
Data Matters
FEBRUARY 20, 2019
On January 18, 2019, the New York State Department of Financial Services (NYDFS) issued Circular Letter 2019-1 (the Circular Letter), addressing insurers’ use of external consumer data and information sources in underwriting for life insurance. Unlawful Discrimination.
IBM Big Data Hub
FEBRUARY 14, 2024
Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.
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erwin
APRIL 11, 2019
Some industries, such as healthcare and financial services, have been subject to stringent data regulations for years: GDPR now joins the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS) and the Basel Committee on Banking Supervision (BCBS).
Reltio
MARCH 11, 2019
The event consisted of over 40 sessions and panels featured more than 60 speakers across industries. Speakers represented life sciences, healthcare, manufacturing, retail, consumer goods, financial services, consulting services, and hi-tech. Reltio was the Diamond sponsor and host of the event.
The Last Watchdog
MARCH 1, 2019
There is a gaping shortage of analysts talented enough to make sense of the rising tide of data logs inundating their SIEM (security information and event management) systems. But this hasn’t done the trick. In many cases the tedious, first-level correlating of SIEM logs to sift out threats has moved beyond human capability.
Info Source
JULY 16, 2019
The retail industry and banking are the biggest spenders on AI in the region, with use cases such as fraud analysis and customer-facing process automation enabling self-service and improving customer experience. The Asian market represents a substantial growth opportunity for ABBYY. billion in 2022. and Tech Mahindra.
IBM Big Data Hub
FEBRUARY 23, 2024
ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events. In the back end, these platforms enhance inventory management and track stock to help retailers maintain an optimal inventory balance.
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