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About the Article
Sunny Bedi, who is the CIO and CDO at Snowflake, shared the latest findings from the 2023 Data Trends Report by Snowflake in an exclusive interview with VentureBeat. The report reveals that AI is becoming an essential use case for many Snowflake users and is a significant part of their discussions. In addition, Bedi has insight into how Snowflake uses data and AI to improve its operations alongside its enterprise clients.
Four Key Data Trends
Companies are Connecting Data Everywhere They Can
Snowflake has experienced a 207% increase in data over the previous year, with data coming in across AWS, GCP, and Azure. Computational workloads requiring sophisticated tools have also increased, and if businesses don’t connect to a centralized data source, they’ll fall behind.
State-of-the-Art Companies Bring Their Work to the Data
Organizations need to do more than just have a single source of truth for their data to benefit from that data. Instead, they must bring their work to the data. This is where Snowpark, an application development framework for data science, comes in, with Python as the primary language for code.
Governance Matters More Than Ever Before
As more organizations rely on data, governance has become more critical to maintain. Snowflake emphasizes the importance of governance and how it affects businesses within its platform.
Companies Embrace Automation
Organizations are increasingly turning to automation to save time and reduce errors.
Bringing Code to Data is Critical
A new era of programmability and AI is making its way into business operations. Bedi mentioned that Snowpark enables code to move to the data, rather than the data to move to the code. Python has become the most used language for writing Snowpark jobs.
Snowpark, ChatGPT, and the End of Business Dashboards
Frank Slootman, the CEO of Snowflake, requested Bedi build an application for him that could respond to his natural language questions about their operations. Snowflake has internally developed an AI solution that relies on ChatGPT, a generative AI tool, and Snowpark, to improve business intelligence dashboards.
In addition, Snowflake recently acquired AI search vendor Neeva. They plan to use next-generation search technology, powered by large language models, to enable Snowflake users and app developers to build rich, search-enabled conversational experiences.
Conclusion
As AI becomes more prevalent, it seems like Snowflake is well placed to help its clients integrate AI into their overall data strategy. With their focus on data governance and automated workflows and their recent acquisitions, it’s clear that Snowflake is striving to offer customers the best technology available.
FAQs
What did Snowflake start?
Snowflake started as a cloud data warehouse provider.
What did Sunny Bedi reveal in an interview with VentureBeat?
Sunny Bedi described the 2023 Data Trends Report from Snowflake and how AI has become a foundational use case for many of their clients.
What is Snowpark?
Snowpark is a framework for data science and application development that allows code to be moved to the data instead of the data to the code.
What language is used the most on Snowpark?
Python is the most used language on Snowpark.
What is ChatGPT?
ChatGPT is a generative AI tool used by Snowflake to improve business intelligence dashboards.
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