Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...

Your businesses could be leveraging predictive analytics and machine learning to help provide a more personalized user experience. By gathering data on how users interact with your site—such as which ...

The climate economics index stress-tests reveal that climate change will impact 48 nations, encompassing 90% of the global economy, and evaluate their overall climate resilience Machine learning (ML) ...

The main market opportunities in the predictive analytics and maintenance sector within supply chains revolve around the ...

The term machine learning was first introduced by Arthur Samuel in 1959. Machine learning is a type of artificial intelligence that gives computers the ability to learn without being explicitly ...

As part of our HIMSS22 conversations surrounding the Smart Hospital, we will be guiding our audience through a tour of the transformations we’re seeing in these settings. On this podcast, Chris Gough, ...

Hartford HealthCare and MIT co-developed H2O, an analytics platform using machine learning to optimize hospital operational ...

Predictive analytics has become indispensable for anticipating and adapting to market shifts. This advanced approach involves leveraging a blend of historical and current data and sophisticated ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Learning analytics is a data‐driven approach that systematically collects, analyses and reports information about learners and their educational contexts. By harnessing large-scale data from digital ...

PASADENA, Calif.--(BUSINESS WIRE)-- Near Intelligence, Inc. (OTC: NIRLQ), a Data Intelligence Platform that provides insights on people and places, today announced that it has appointed Dan Putler as ...