Overview: AI in marketing analytics is experiencing rapid adoption as businesses increasingly rely on intelligent data ...
Introduction Despite the increasing interest in wearable devices for monitoring body temperature in acute hospital settings, their integration into routine clinical workflows remains limited. There is ...
A profound transformation is taking place in therapeutic discovery, development, and delivery.2026 will be a pivotal year for ...
The consumer goods giant is taking its advanced analytics approach and adding AI for greater value, but its data leader, ...
Electronic health records and medical billing have moved from “nice to have” tools to core infrastructure for healthcare. By 2026, the gap between ordinary vendors and true industry leaders is defined ...
For students enrolled Spring 2026 and beyond. The Big Data and Applied AI option reflects the growing role of artificial intelligence in business decision-making. It provides students with rigorous ...
A cybersecurity incident at analytics provider Mixpanel announced just hours before the U.S. Thanksgiving holiday weekend could set a new standard for how not to announce a data breach. To recap: In a ...
How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...
HOUSTON, Nov. 19, 2025 /PRNewswire/ -- Elior North America, one of the nation's leading foodservice operators in contract catering and hospitality services, today announced a major step toward ...
On Election Day, Peter Hubbard was one of two Democratic candidates who took a decisive—and surprising—victory in Georgia. Hubbard was elected to the Georgia Public Service Commission, the body that ...
Customer journey analytics software aims to help businesseses understand, optimize and personalize every step of the customer experience. By aggregating and analyzing data from touchpoints across both ...
Data has long been called the new gold, but mining it has historically required specialized expertise, significant time and substantial resources. For decades, organizations relied on highly trained ...
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