Predictive analytics involves using data, statistical algorithms and artificial intelligence to anticipate future outcomes, trends, behaviors and events based on historical customer data. This ...

This story was originally published by Data-Smart City Solutions. Consider this: Chicago, a city with nearly 3 million people and more than 15,000 food establishments, has fewer than three dozen ...

Today’s leading businesses, governments, and other organizations collect large amounts of data about their operations and their customers. Classic examples are Amazon, Twitter, or any company that has ...

The concept of predictive analytics is not new. Predictive analytics has been around for well over a decade. Despite its age, it has mainly been the purview of large organizations for most of its ...

Industry forecasts predict an annual growth rate of approximately 6% to 7%, driven by advancements in cloud computing, AI, and data engineering . In 2023, the global data analytics market was valued ...

Combining big data with detailed process knowledge, EFT and Big River Steel are solving one of the steel industry’s biggest pain points. WICHITA, Kan.--(BUSINESS WIRE)--EFT Analytics (EFT), a leading ...

Integrating predictive analytics into its sales pipeline tools is helping Cisco Systems improve its global sales process. One challenge has always been leveraging the information in the pipeline ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Predictive maintenance is preferred over preventive maintenance for critical assets, but the correct application of advanced analytics is required to realize full value. Power plants of all types have ...

The Data Analysis Software Market was valued at USD 300 billion in 2024 and is projected to reach USD 500 billion by 2033, growing at a CAGR of 7.2% during the forecast period from 2026 to 2033. This ...

Standardized test scores, grade point averages, and teacher recommendations are well-known components of college applications. But schools use other less-discussed factors in admissions decisions as ...