CIO of Snowflake Highlights AI as Focus in 2023 Data Trends Report.

Looking to get ahead of the curve in today’s ever-evolving tech landscape? Look no further, as Snowflake’s latest report showcases some key insights into the latest data trends that will shape the future of business. In their 2023 Data Trends Report, Snowflake CIO Sunny Bedi speaks exclusively with VentureBeat about how businesses are leveraging artificial intelligence (AI), automation, and other cutting-edge technologies to usher in a new era of data management. Read on for a quick recap of some of the most fascinating findings from the report.

Connecting Data Everywhere

The big takeaway from Snowflake’s report is that companies are connecting data wherever they can, with an astounding 207% growth in data coming into Snowflake across the three major cloud providers. With advanced tools, computational workloads, and increased automation, organizations that do not connect to a single source of truth will inevitably fall behind.

Bringing Code to Data

Having a single source of truth isn’t enough to leverage the power of data, which is where Snowflake’s Snowpark framework comes in. The primary language for code in Snowpark is Python, with a growing trend towards bringing code to data rather than the other way around. Snowflake’s acquisition of Streamlit has allowed for easier and more efficient application development, while generative AI is poised to revolutionize the way we interact with code and data.

ChatGPT and the End of Business Dashboards

By leveraging Snowpark and AI, Snowflake has turned to ChatGPT to improve its own operations, allowing for a more natural language interaction to ask questions about specific metrics. This programmability of data offers new AI-powered use cases that were never before possible. Snowflake’s acquisition of Neeva will pave the way for the development of search-enabled conversational experiences.

In summary, Snowflake’s 2023 Data Trends Report provides a fascinating glimpse into how companies are leveraging AI, automation, and new languages to revolutionize the way they manage data. With such a rapidly evolving tech landscape, it’s never been more important to stay ahead of the curve and keep an eye on the latest trends.

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