Users should beware of the single platform approach when preparing for the demands of AI and machine learning on their data management systems, Gartne

Single-platform approach may fall short for AI data management

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2024-11-07 22:30:08

Users should beware of the single platform approach when preparing for the demands of AI and machine learning on their data management systems, Gartner is warning.

A gamut of vendors including Snowflake, Google Cloud, Microsoft, and Databricks have spent the last couple of years trying to show that data management and analytics platforms can lay the ground for user organizations implementing AI and machine learning, which have been the subject of considerable hype.

Speaking ahead of her presentation at Gartner Symposium this week, Roxane Edjlali, senior director analyst, told The Register that while the single platform approach appealed to some users, they might need more than the solutions available on a single platform.

"The appealing part for enterprises is to say, if we take everything from the same stack, we are not going to need to assemble all of those pieces ourselves," she said. "But it might not be enough, and vendors are not at the same level of maturity across all of the different pieces that support AI-readiness of data."

Some of the major players in analytics and data management continue to make a play for AI and machine learning spending with their platform approach. For example, last year Databricks launched a complete overhaul based on technologies gained in its $1.3 billion buy of MosaicML, a generative AI startup.