AI takes predictive analytics—a broad discipline that includes predictive modeling, data prep, analysis workflows, ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

The availability of low-cost business analytics tools has motivated many organizations to roll out customer profiling and predictive analytics applications in the hopes of revitalizing their marketing ...

Business leaders today are navigating an era of complex uncertainty, where risk moves faster than traditional oversight can keep up. From global supply chain volatility to internal compliance ...

Financial institutions are expanding predictive analytics beyond risk management to anticipate customer needs, strengthen ...

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

Predictive analytics in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Boris Kontsevoi is a technology executive, President and CEO of Intetics Inc., a global software engineering and data processing company. In an era where the unexpected is becoming the norm, the ...

Ken Research Maps APAC's USD 624 Million Connected-Asset OpportunityThe APAC Predictive Maintenance in Hotels Market is ...

The algorithms often used by colleges to predict students’ likelihood of graduating can produce less accurate results for Black and Hispanic students compared to their peers, a new study says.