Systems | Development | Analytics | API | Testing

In this video, we dive into Projection and Aggregation Policies in Snowflake, two powerful features that help you manage and secure sensitive data while unlocking new use cases. What are Projection and Aggregation Policies? Projection Policies define whether a column can be included in the output of a SQL query. Aggregation Policies enforce that queries against aggregation-constrained tables must group data into minimum-sized chunks to prevent the return of individual records, helping protect privacy.

For the inaugural episode of Women Leaders in Technology on The AI Forecast, we’re joined by one of the top female leaders in the technology industry, Kari Briski - Vice President of AI Software Product Management at NVIDIA. Kari shares the stories and strategies that inform her leadership style–like GSD or “getting stuff done”–what it means to trust your instinct, and the advice she gives to young women embarking on a career in tech and to women further along who feel stuck where they are.

Snowflake provides for seamless handling of geospatial data, making it easier to work with location-based information directly in your data platform. In this video, we explore Snowflake’s native support for geospatial data, which allows you to store, process, and analyze spatial information at scale. Geospatial data is important because everything happens somewhere. By breaking down silos and combining spatial and non-spatial data, Snowflake empowers you to uncover valuable insights across a wide range of use cases —from mapping to location analytics to geospatial trends.

Snowflake Data Clean Rooms empower organizations to collaborate on data in a privacy-conscious way directly within Snowflake. With an intuitive interface and a focus on simplifying secure data sharing, Snowflake Data Clean Rooms enables businesses to build and use clean rooms seamlessly, leveraging Snowflake’s powerful data platform. This solution eliminates unnecessary complexity and additional access fees, ensuring organizations can focus on deriving insights while maintaining data privacy. Learn more about how Snowflake Data Clean Rooms support privacy-preserving collaboration in this blog.

Financial planning should be seamless and insightful, yet many organizations find themselves trapped in a cycle of inefficiency and frustration, dealing with disconnected systems, data silos, and cumbersome manual processes. How do you change that? Meet Fiplana from insightsoftware, the ideal financial planning solution for organizations using Qlik.

Here's the collaborative creator space data teams have been waiting for. Harness the power tools you need — SQL, R, Python, and visual analysis — all in a seamlessly integrated intelligence platform.

The AI explosion has led to non-stop hype cycles as the technology continues to develop. But AI is only as good as the data behind it. The threat of lousy data is bad AI. Andrew Brust, Founder and CEO of Blue Badge Insights, joins The AI Forecast to discuss the AI hype–and how to prevent what he calls an “artificial Charlatan” of bad AI. He emphasizes the dependent relationship between data and AI and the former’s role in the success of the latter. Specifically, he addresses the data governance conundrum, and why in order for data technology to be successful, it has to be fun.