Advanced Analytics & AI

Are your AI pilots stuck in an endless loop of experiments with unpredictable ROI?

Are your AI initiatives delivering measurable ROI in cost savings, faster time-to-market, and customer loyalty or are they still stuck in pilot mode?

Is your enterprise data sitting idle in Snowflake? Are your AI projects stuck in endless pilots with little impact? Are you finding it too costly and unpredictable to scale AI infrastructure outside of Snowflake, with ROI still uncertain?

Your CRM holds customer gold but without AI, it’s nothing more than a digital filing cabinet.

Let’s be brutally honest: Your LLM project is most likely bleeding money right now instead of driving revenue.

Gen AI for businesses has swiftly evolved from a fringe innovation to a boardroom imperative. Over the past couple of years, leading enterprises in the US have moved beyond conducting mere experiments with chatbots and text generators.

Generative AI (Gen AI) has evolved over the past couple of years from being a cost-cutting experiment to a powerful revenue generating engine.

A few years back, AI was just merely a concept and looked cool over sci-fi movies and series. What was once sci-fi fantasy is now an enterprise reality. Wonderful, isn’t it?

Gen AI strategies don’t fail because of lack of vision—they fail because they never leave the lab.

When financial institutions reported over $485 billion in fraud losses in 2023 , the message became clear– it was time to rethink the future of technology in industry practices.