Traditional business intelligence (BI) has largely followed a labor-intensive model where people manually analyze data to generate insights and then take action in separate systems. But as the data being analyzed continues to grow and become more complex and as technologies such as artificial intelligence (AI) have shown potential and wider adoption, it seemed that incorporating AI into BI would be the logical next step. This is the idea behind agentic analytics...

While artificial intelligence (AI) has become the buzzword in today’s environment as this hip, new technology, in truth, AI has been around for a long time. But if we are to be a bit more precise and accurate, what people are raving about these days is one particular type of AI: generative AI...

The sobering reality is that most organizations’ data analytics remain in the early phases, at the descriptive and diagnostic levels that tell a “what” and “why” story but for one reason or another, have either not yet reached the crucial “what to do” phase of the story that prescriptive analytics provides or are drawing their own findings and solutions without the rigid process of prescriptive analysis, which only guarantees failure for the organization’s data-driven endeavo

It has often been said that data is the primary driving force for innovation and that is true. However, it has become a foregone...

As data evolves and carries more complex information, data analytics has become all the more critical in understanding this information...

Some may not realize it, but data and artificial intelligence have long been intertwined together, with one contributing to...

Data is an important cornerstone of a digitally driven enterprise. For many, the amount of data available that is useful not only to the...