Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Intelligent organizations prioritize investments in machine learning and real-time data to improve decision making, accelerate revenue generation efforts, reduce operational expenses and protect ...

Quick diagnostic sprints deliver measurable results in weeks, not years, helping manufacturers prove AI value before ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

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 ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Machine-learning models could help drug firms remove viral contaminants from products more effectively as long as they have access to high-quality training data, say biomanufacturing researchers.