These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...

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 ...

Balancing operational costs and business efficiency continues to be a significant challenge for enterprises everywhere. In the event of equipment failure, the resulting revenue and productivity losses ...

Overview: AI in marketing analytics is experiencing rapid adoption as businesses increasingly rely on intelligent data ...

Canvass AI’s real-time closed-loop optimization solution for process and sub-process level production allows operators and engineers to automate production processes across multiple industries and a ...

In this special guest feature, Ty Tucker, CEO of REV, discusses predictive and prescriptive analytics, and how they can be used in tandem to achieve the best results for a business. Ty provides ...

"The future of real estate, much like healthcare, is about anticipating trends and creating environments that foster ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data analytics is defined as the capability ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. Predictive analytics is a method of data analysis used within ...

I recently had the opportunity to discuss current IBM artificial intelligence developments with Dr. Lisa Amini, an IBM Distinguished Engineer and the Director of IBM Research Cambridge, home to the ...