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Flywheels and why it matters with Snowflake


Reflecting on Summit

At the Snowflake Summit, a strong commitment to AI was emphasized. Both Snowflake and NVIDIA have made strides in building their AI capabilities. The rise of AI, particularly generative AI, has been a prominent topic at cloud tech conferences over the past year. As a former Snowflake employee and current customer, I’m intrigued by the potential of AI. Jensen Huang, NVIDIA’s CEO, and Sridhar Ramaswamy, Snowflake’s CEO, frequently discussed the concept of a ‘flywheel’.


Snowflake Marketing Analytics with Flywheel


Understanding the flywheel concept in software development is vital. Something we at Perficient, have been doing for some time now.  It’s described as a visual loop that enables technology to achieve velocity by reducing internal process friction. This flywheel analogy is relevant and compelling. Many IT enterprises struggle with disorganized data and fail to achieve needed business growth. They often grapple with maintaining a single version of truth and meeting business needs. I have immense respect for stalwarts like Jensen Huang and Sridhar Ramaswamy. They’ve earned the right to discuss and evangelize their investment in “Enterprise AI”.  Let us at Perficient, take it from there.

Snowbear Jer

As a recent addition to the Perficient leadership team, leading our growing Snowflake Practice, I ask you, the reader, if your data is ready for the Enterprise AI discussed today. Whether it is or isn’t, we’re ready to help you build your business flywheel in Snowflake. I look forward to starting this journey with you. Please contact me at to begin.


Check out more from our Snowflake practice here.

Thoughts on “Flywheels and why it matters with Snowflake”

  1. Jerry Locke Post author

    Thanks for the comment. We are already applying this flywheel internally with Snowflake.

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Jerry Locke

Jerry is a seasoned data professional who leads the Snowflake Practice at Perficient. With extensive experience in the Information Technology sector, including work with several Fortune 50 companies, Snowflake, and over 50 cloud projects, Jerry has cultivated a deep understanding of various domains. With a Master's degree in Cybersecurity and Leadership from the University of San Diego, he has a particular interest in security. Jerry is recognized for his problem-solving skills and his ability to guide teams toward achieving their goals. He is eager to tackle the modern data enablement challenges facing our industry and joined Perficient specifically to meet this challenge.

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