Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...

This analysis is by Bloomberg Intelligence Industry Analyst Andrew Galler and Senior Associate Analyst Jack Maltby. It appeared first on the Bloomberg Terminal. Clinical trials represent a significant ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Vegetation management (VM) is crucial for electric utilities to maintain public and personnel safety and ensure grid reliability. Typically, vegetation-related outages are the leading cause of outages ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Researchers at the University of Texas at Austin produced data-driven and hybrid data-physics based DIP models to analyze stuck pipe incidents at the Frontier Observatory for Research in Geothermal ...

Data becomes useful when it has context. Knowing you made $2 million this year is just a number until you compare it to $1.5 million last year or $3 million the year before. Add in a competitor's ...