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Perplexity Computer can now use Snowflake as a data source and work as a personal Data Science team if you are on Snowflake And the Data Analytics team as well 👀

20,048 просмотров • 24 дней назад •via X (Twitter)

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Announcing Superblocks on Snowflake: Secure Enterprise Vibe Coding on the AI Data Cloud This couldn't be more timely. Vibe coding is exploding inside the enterprise. It’s also becoming the fastest path to a data breach. Every CEO is trying to accelerate adoption of vibe coding for business users automate, without blocking on engineering. Every VP of Data and CIO is trying to figure out how to lock down their data, harden their permissions, and gain centralized visibility. That’s exactly what this partnership unlocks. Superblocks becomes the enterprise platform for governed vibe coding across business teams, deeply embedded within Snowflake: > Snowflake Postgres becomes your secure vibe coding database. Superblocks spins it up in every app for fast writes and net new operational workflow data >Snowflake Cortex becomes the inference engine for Superblocks. Your prompts and vibe coded AI features run within your trusted security perimeter >Snowflake Warehouse governance is enforced. AI apps use federated token passthrough so your existing row level access policies, dynamic data masking, tag-based-access controls are respected “With Superblocks on Snowflake, any business team can safely build AI applications governed on their Snowflake data. It’s a dream come true.” -Unmesh Jagtap, Director of Product, Snowflake Now enterprises can stop playing whack-a-mole, and move your organization past the AI prototype graveyard. If you’re a Snowflake customer, book a demo (link in comments) Thanks to the Snowflake team for the partnership: Christian Kleinerman, Vivek Raghunathan, Bala Kasiviswanathan, Unmesh Jagtap, and Myles Borins for helping shape how the industry democratizes governed AI app development while centralizing control on the AI Data Cloud.

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Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

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