As Generative AI is attracting lots of attention, there is much hype around it. Till today I have overheard at least a couple of consultants to consult clients to use Generative AI for anything from customer-service chatbots to better demand forecast. While Gen AI is great for certain tasks such as synthesizing text, it should not be an automatic choice for everything.

Navigating the complexities of data analytics can be daunting for business professionals. Yet, amidst this intricate landscape lies a transformative approach that is reshaping the way organizations leverage their data: Causal AI. This introduction to causal AI in data analytics will illuminate how it transcends traditional descriptive and predictive models, offering a pathway to not just understand but to actively influence outcomes. Prepare to delve into the realm where data is not just analyzed but harnessed to drive strategic decision-making and forge a competitive edge in the marketplace.

While Actable AI’s focus is on extracting actionable insights from data, we in no way care less about the quality of our AI models. In this blog post, we show a performance benchmark of our predictive models with DataRobot Autopilot, one of the most popular DSML vendors in the market.