DATA & DATA ANALYTICS
The key is ensuring early experiences succeed, because trust lost through bad AI answers proves difficult to recover.
“ Nobody wants their CEO to go talk to the data and get a bad answer, because then the CEO never is going to trust that agent again,” Jeff explains.
Jeff expects dramatic improvements in analytical speed over the next 12 months. Projects that currently require weeks might complete in hours as AI capabilities improve and workflows become more automated.
“ Previously, doing this would have taken three months, now we’ re at a place where it takes three weeks. A year from now, many of these things might be three days or three hours even,” he says.
The acceleration reflects both better AI models and improved platform integration. By reducing friction between asking questions and getting answers, Snowflake enables faster decisionmaking based on current data rather than historical reports.
Benoit’ s original vision was democratising data access so every company could match Google’ s analytical capabilities. AI extends this democratisation to individual users within organisations who previously lacked technical skills to query data directly.
“ Our goal was to democratise this data platform. We wanted everyone to be Google, but we understood it was every organisation, but not everyone within the organisation,” he says.“ Now it’ s everyone. AI is a very profound revolution which is very connected with Snowflake’ s DNA.”
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