IBM Big Data Hub

FEBRUARY 22, 2024

We strongly believe the influx of data associated with AI will fuel tremendous business innovations, but requires strategic considerations, including around where data resides, data privacy, resilience, operational controls, regulatory requirements and compliance, and certifications.

Enterprise 80

Enterprise Risk Data Processing Business Driver 80

Anmut

MARCH 2, 2020

For many businesses, data has become the lubricant that allows markets to operate more seamlessly – allowing firms to better match supply and demand. And it is not just in ‘born digital’ businesses that data is creating a stir by enabling markets to operate more seamlessly. An alternative perspective – think about KPIs and reporting.

Insurance 52

Insurance Risk Management Risk Cost-Benefit 52

Domino Data Lab

JULY 9, 2019

In the Rev session , “Data Science at The New York Times”, Chris Wiggins provided insights into how the Data Science group at The New York Times helped the newsroom and business be economically strong by developing and deploying ML solutions. For more insights from this session, watch the video or read through the transcript.

Data Science 112

Data Science Machine Learning Advertising Modeling 112