"Big data analytics" is perhaps the currency of the pandemic. The term describes the process of uncovering trends, patterns, and correlations in large amounts of data to help make decisions. Big data ...
NCS Analytics, the leader in cannabis operational intelligence and predictive analytics, today announced the standalone ...
SAN FRANCISCO & SAN MATEO, Calif.--(BUSINESS WIRE)--Clarify Health, an award-winning healthcare data and analytics company, and Prealize Health, the industry’s most advanced and accurate predictive ...
Sumo Logic Inc., developer of an analytics-based platform for application performance management and observability, today added capabilities that predict application, cloud and infrastructure usage ...
CLARA Analytics (“CLARA”), the leading provider of artificial intelligence (AI) technology for commercial insurance claims ...
Uptake’s predictive analytics features will be paired with Platform Science’s Virtual Vehicle platform's workflow, navigation and telematics capabilities in the new partnership. Platform Science’s ...
The DevSecOps provider Digital.ai has announced new capabilities to its platform to provide customers with better predictive analytics across the software development life cycle. New predictive ...
Although predictive analytics has gained considerable attention internationally, its adoption within routine clinical ...
Liaison International, provider of technology and services for recruitment, admissions, enrollment and student success, has introduced a new integration that combine its Othot predictive and ...
The streaming video ecosystem is shifting focus from maximizing subscriber growth at all costs to maximizing profit. The goal for over-the-top (OTT) businesses has become less about getting new ...
In a short time, AI-powered technology like predictive analytics has gone from seeming like futuristic features only a few organizations could access, to something attainable for all businesses. This ...
Predictive analytics, a branch of advanced analytics, helps forecast future outcomes using historical data, statistical modeling, and machine learning. In industries like vegetation management, it has ...