Is your AI POC (Proof of Concept) stuck in the pilot phase? Bothered that it might make it to the final phase, and your millions of dollars invested would go to waste.
Data governance is a very crucial aspect for every business that’s dealing with huge volumes of data. According to the reports of IBM, the global average cost of a data breach reached around $4.88 million dollars in 2024.
Among the biggest threats faced by organizations are not just their competitors or the constantly changing market. It’s the organization’s own data. But how can one’s own data be a threat? Well, data silos are usually tricky to access and are not updated. This results in redundancy, fragmented data, and even wrong information. These data …
How do you plan to tackle challenges arising when scaling distribution of applications to thousands of customers? Or what strategies are you planning to incorporate for smooth subscription management with Snowflake’s ecosystem?
Are data silos impacting & draining the budgets of IT operations? Are the data silos preventing your team from accessing the data and making timely business decisions?
Are your AI pilots stuck in an endless loop of experiments with unpredictable ROI?
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?
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.
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.
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