While not as mature as its use in other areas, health systems across the U.S. are beginning to adopt predictive analytics tools for labor cost forecasting. Many organizations have automated ...

Energy needs don’t always align with expectations. But predictive analytics is helping companies reduce their energy footprint and improve forecasting of how much power they will need at a given time.

Bed capacity management is of critical importance to health systems, impacting patient care and safety, operational efficiency, system sustainability and financial performance. Efforts to improve and ...

AI market forecasting is reshaping how organizations anticipate demand, risk, and opportunity by processing massive volumes of structured and unstructured data in near real time. Modern systems ingest ...

In today’s dynamic business environment, organizations are overwhelmed by vast amounts of data, yet the challenge remains in effectively leveraging this data to inform strategic decision-making. A ...

AI is reinventing the way media companies can analyze their business, from precise forecasts to finding new business opportunities to optimizing yield. In all of these cases, data is required to ...

In our enthusiasm to embrace generative AI for content creation, we often overlook all the other ways we can apply it. Case in point: predictive analytics and forecasting. Forecasting in a ...

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 ...