From forecasting potential forced displacement movements and assessing damaged buildings after a crisis, to mapping refugee laws and improving supply chains, UNHCR, the UN Refugee Agency, is using ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

The thermometer reads 95°F (35°C) in Brooklyn, and vulnerable individuals need information to take appropriate action. New York City officials must gather facts quickly to provide updates on cooling ...

Artificial intelligence and predictive alerts could become the next major factor shaping smartphone competition and consumer ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

Adolescent depression has emerged as a critical global public health concern, with rising prevalence in China posing severe threats to psychological development and social adaptation. Traditional ...

Discover how Markov Analysis predicts future states from current data, understand its strengths and weaknesses, and explore its application in finance and business.

Post-ERCP pancreatitis (PEP) is the most common complication following ERCP, leading to significant clinical and economic consequences. Predictive models for PEP can help identify high-risk patients ...

Can anyone remember their life before artificial intelligence (AI)? Many struggle with that, but what I do remember is how things worked in the business sector, especially in education.

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 ...