AI: The New Normal, Says Snowflake CEO

NNicholas September 12, 2023 3:31 AM

Snowflake's CEO, Frank Slootman, compares the presence of artificial intelligence (AI) to that of search engines, predicting its soon-to-be ubiquitous nature. He's expressed strong optimism on AI's applicability in enterprise scenarios and discussed its growing mainstream adoption.

AI likened to search engines' impact

The CEO of data storage and analytics company Snowflake, Frank Slootman, recently compared the advent of artificial intelligence (AI) to the introduction of search engines. He suggests that just as search changed our world, so too will AI. The influence will be so profound that people will soon forget what life was like before its existence. This comparison illustrates the paradigm shift that AI is expected to bring about in our daily lives.

Snowflake's optimistic approach to AI

Slootman has expressed that Snowflake is taking to AI 'like a fish to water,' demonstrating the company's enthusiastic adoption of the technology. Snowflake sees great potential in AI's capabilities in an enterprise context. As AI continues to evolve, it's not just reshaping consumer experiences, but also proving instrumental in transforming business operations and decision-making processes.

Machine learning's rise in business mainstream

Turning his attention to machine learning, which Slootman refers to as 'a lesser form of AI,' he acknowledges its increasing adoption across diverse businesses. Machine learning, an integral part of AI, is indeed going mainstream. It's bridging the gap between advanced computational capacity and practical business applications, enabling businesses to leverage data-driven insights more effectively.

Despite the buzz around generative AI, Slootman expresses skepticism about its relevance to big data companies. While generative AI is hailed for its potential to create content, such as planning trips or summarizing novels, it appears less applicable in the context of enterprise operations. In Slootman's view, the hype around this technology has peaked, suggesting a need for more practical, business-oriented AI applications.

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