Systems | Development | Analytics | API | Testing

Snowflake

Demo | Snowflake Data Clean Rooms

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.

Introducing One Million Minds + One Platform

AI and technology are reshaping the world we live and work in every day. It’s imperative that we equip people with the tools and skills they need to succeed in this rapidly changing landscape. In this video, Snowflake CEO Sridhar Ramaswamy announces a new company initiative to tackle the challenge. Called "One Million Minds + One Platform," its goal is to train and certify one million students and professionals in data and AI by 2029 and 100,000 users on the Snowflake AI Data Cloud by 2027.

Securing Snowflake With Network And Authentication Policies: Protect Your Account

In this video, we explore Network and Authentication Policies in Snowflake. These are account-level rules that control who can successfully connect to your Snowflake environment. Network Policies define allowed sources, determining which IP ranges can access your Snowflake account. Authentication Policies control access by enforcing Single Sign-On (SSO) authentication and other rules for secure logins.

Snow Report: What's Happening At Snowflake In January

This month's edition of Snow Report provides details on upcoming must-attend events, such as AI & Data Predictions 2025, Startup Demo Day, and Gen AI Day. The newsletter also contains some important product announcements, a list of recommended resources, and details about the launch of this year's Startup Challenge.

Predictions 2025: AI as Cybersecurity Tool and Target

Though AI is (still) the hottest technology topic, it’s not the overriding issue for enterprise security in 2025. Advanced AI will open up new attack vectors and also deliver new tools for protecting an organization’s data. But the underlying challenge is the sheer quantity of data that overworked cybersecurity teams face as they try to answer basic questions such as, “Are we under attack?”

Composable CDPs in Financial Services: Empowering Marketers and Reducing Compliance Risk

Marketers at financial services companies have their work cut out for them. Their companies have a wealth of data, but that data is often fragmented among different systems and divisions, and protected-class data has a wide range of restrictions on how it can be used for different product lines.

Snowflake Brings Its "End Data Disparity" Initiative To Switzerland For The World Economic Forum

Snowflake is heading to Davos, Switzerland in January to the World Economic Forum 2025, carrying with it its message about the End Data Disparity initiative and its knowledge of how AI is revolutionizing all that can be accomplished with data. Stay tuned for "Data Cloud Now's" upcoming coverage of the event and its conversations with industry leaders. The Forum runs from January 20 to 24.

Driving Real Business Value from AI: Value-Focused Data Leaders to Watch in 2025

As organizations mature in their execution of data and AI initiatives, a burning question remains: How do we measure the effectiveness of our teams and our impact on the business? This isn’t the perennial “What’s my data worth?” dilemma often asked rhetorically and answered theoretically. Today’s challenge is concrete: to define and track the metrics used to justify continued investment in data and AI innovation.

Prioritization: The Pivot Point from POC to Production

We often hear from customers that they’re excited about what they could do with data and AI but are not sure how to do it. Or that the tech teams are “all in” but they can’t convince the powers that be to move forward. It’s not that they don’t know what to do — they could list a number of initiatives or use cases that would benefit from insights from their data or to which they could apply AI. But many organizations seem to suffer from institutional paralysis.

Analytics, Apps, AI and Open Standards: Top 4 Highlights from Microsoft Ignite

We had a busy week catching up with customers and partners at Microsoft Ignite in Chicago and online. We shared lots of exciting innovations to help customers build applications, keep their data architecture open and flexible and harness the power of AI in so many ways. Here’s a quick recap.