Predictive analytics is not about gazing into a crystal ball – it's about intelligently using the information you already have to make accurate predictions as to your customers' future behaviour and ...

Understanding and anticipating customer needs is more crucial today than ever. Predictive analytics has emerged as a game-changer in the quest for exceptional customer experiences (CX), enabling ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

In a B2B marketing context, predictive analytics involves the study of past activity to predict future buyer behaviour. There is mounting evidence that marketers using it outperform those relying on ...

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 ...

CEO of InfluxData, a leading time series platform, board member for One Heart Worldwide and board advisor for Lucidworks and The Fabric. In the current global business landscape, data-driven ...

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 ...

Advantages and shortcomings of predictive analytics, and how the practice is changing in order to keep up with the evolution of technology. The term predictive analytics refers to the use of data, ...

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 ...

While in data analytics terms, tools for activities such as data extraction and exploration are quite mature and well adopted, the situation for predictive and prescriptive analytics is quite another ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...