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...

In today’s data-driven world, the importance of data as a valued “commodity” is widely recognized. Many organizations across all sectors have come to rely on data as an important element for them to make critically-sound decisions that will impact their organizations. And factoring into these decisions is the data these organizations have. Not necessarily the amount of data they have but more so the quality of such data...