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By Cassie Wallgren
Throughout my career, I’ve had the privilege of working across the full spectrum of enablement: internal enablement, partner enablement and customer enablement. Each of these domains brings unique challenges, audiences and approaches, but a common thread unites them all: the goal of fostering growth. At its core, training and enablement are not just about imparting knowledge or improving skills. While these are vital components, the true purpose transcends the transactional.
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By Florian Delval
If you ask any advertiser about the most disruptive factor in recent years, they’ll probably hesitate between two contenders: privacy and AI. While AI is poised to have a transformative impact far beyond advertising in the future, one thing is certain: No organization today can address use cases involving consumer data without prioritizing privacy. Before we dive into the world of data clean rooms, let’s take a quick trip back in time to set the stage.
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By Anahita Tafvizi
Sales reps dedicate just two hours each day to active selling, according to HubSpot research. At Snowflake, our sales team found they were wasting 10 to 15 minutes searching for the right content every time they needed to answer a single question, like “Can you explain how Snowflake handles data integration from various sources?” Valuable content was scattered across different platforms, forcing employees to hop between various tools to assemble the right information.
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By Jonathan Regenstein
Being able to leverage unstructured data is a critical part of an effective data strategy for 2025 and beyond. To keep up with the competition and AI-accelerated pace of innovation, businesses must be able to mine the treasure trove of value buried in the mountains of unstructured data that comprise approximately 80% of all enterprise data — from call center logs, customer reviews, emails and claims reports to news, filings and transcripts.
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By Cindy Na
As analytics steps into the era of enterprise AI, customers’ requirements for a robust platform that is easy to use, connected and trusted for their current and future data needs remain unchanged. "Serverless computing" has enabled customers to use cloud capabilities without provisioning, deploying and managing either hardware or software resources.
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By Harshal Pimpalkhute
Snowflake is expanding its AI capabilities with the public preview of Cortex Agents, to help retrieve data insights by orchestrating across structured and unstructured datasets. Cortex Agents streamlines agentic application data access and orchestration for more reliable AI-driven decisions by building on top of enhancements to our Cortex AI retrieval services.
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By Bill Stratton
AI is proving that it’s here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that the advertising, media and entertainment industry gets serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.
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By Eddie Drake
We’ve all experienced those moments as consumers — receiving an offer for something irrelevant or being addressed by the wrong name. For years now, I’ve received promotional emails and postcards from a global automotive brand addressed to someone named “Leighann Drake.” Neither I nor anyone in my family goes by that name, nor do we own a vehicle from that brand.
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By Jennifer Belissent
The emergence and growing adoption of generative AI and the agreement to and implementation of the EU AI Act uncannily coincided. These two factors have catalyzed an AI renaissance within many enterprises. Yes, companies were already applying AI here and there across their organizations — but responding to the impact of these two exogenous forces required a whole new way of thinking and doing. All of a sudden, all eyes were on AI.
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By Jesse Cugliotta
AI is proving that it’s here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that healthcare and life sciences get serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.
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By Snowflake
In this demo, we’ll show you how to create a custom Data Metric Function (DMF), associate it with your tables for continuous data quality monitoring, and query the results from a centralized table. Watch to learn how built-in monitoring helps you track critical data objects, identify quality issues, and take quick action to ensure reliable, high-integrity data across your organization.
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By Snowflake
Learn how Snowflake is expanding its partnership with Microsoft to bring OpenAI’s state-of-the-art models to Snowflake Cortex AI.
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By Snowflake
Over the past few years, Spark New Zealand has tackled the challenge of creating a strong data foundation by moving all of its data warehouses into Snowflake to create a centralised data platform. Now, explains Pritha Chattopadhyay, Domain Chapter Lead at Spark, this telecommunications leader and digital services provider is diving into artificial intelligence with the help of Snowflake Cortex AI. Tune in to learn about the benefits it provides.
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By Snowflake
This month's edition of the Snow Report features insights from venture capitalists on starting an AI business in 2025. It also includes new product announcements, such as the integration of Anthropic's Claude 3.5 Sonnet into Cortex AI, as well customer stories, technical tips, and info on upcoming events.
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By Snowflake
In this segment of Truck Talk, we catch up with Justin Grimme, Manager of Business Intelligence at Shane Company. He stepped into the Snow Mobile to talk about the low cost of transitioning to Snowflake and the many cost- and time-saving benefits his company has realized since making that transition.
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By Snowflake
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.
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By Snowflake
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.
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By Snowflake
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.
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By Snowflake
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.
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By Snowflake
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.
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By Snowflake
There's never been a better time to be an entrepreneur looking for investment funding. Global venture capital activity grew mightily in the first half of 2021, and the trend appears to be continuing as we head into 2022. However, that doesn't mean building a new company is any easier. The same inherent resource and growth challenges exist, and venture capitalists still want to see value creation and strong indicators for future success before they invest.
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By Snowflake
Data scientists require massive amounts of data to build and train machine learning models. In the age of AI, fast and accurate access to data has become an important competitive differentiator, yet data management is commonly recognized as the most time-consuming aspect of the process. This white paper will help you identify the data requirements driving today's data science and ML initiatives and explain how you can satisfy those requirements with a cloud data platform that supports industry-leading tools.
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By Snowflake
Many organizations struggle to share data internally across departments and externally with partners, vendors, suppliers, and customers. They use manual methods such as emailing spreadsheets or executing batch processes that require extracting, copying, moving, and reloading data. These methods are notorious for their lack of stability and security, and most importantly, for the fact that by the time data is ready for consumption, it has often become stale.
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By Snowflake
DELIVER ALL YOUR DATA WORKLOADS WITH SNOWFLAKE Gartner predicts that 75% of all databases will be deployed or migrated to a cloud platform by 2022. But how does e a cloud data platform enable a long-term strategy for maximizing all of an organization's data assets? Snowflake's cloud data platform is a highly extensible, multi-region and multi-cloud platform that powers all types of data workloads. Specifically, Snowflake: To learn everything Snowflake offers today's, forward-looking organizations, download our white paper, Snowflake: One Cloud Data Platform for All Your Analytic Needs.
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By Snowflake
Most companies that build software have a strong DevOps culture and a mature tool chain in place to enable it. But for developers that need to embed a data platform into their applications to support data workloads, challenges emerge. DevOps for databases is much more complex than DevOps for code because database contain valuable data, while code is stateless. Instantly creating any number of isolated environments Reducing schema change frequency with variant data type
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By Snowflake
Companies are moving workloads to the cloud as they seek to improve speed, scale, and agility. Today's data warehouse managers want to boost analytics productivity, increase the ability to scale instantly, and ingest and support a diverse set of data without bottleneck delays. In this white paper, we explain how Snowflake delivers the speed, scale, and agility organizations need for data-driven decision-making.
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By Snowflake
Financial institutions are embracing cloud-based data technologies to improve their service and product offerings, streamline operations, and gain deeper customer insights. This ebook features success stories about the many ways financial services companies are leveraging Snowflake Cloud Data Platform to build a 360 degree view of customers, accelerate financial analysis with unlimited scale, and keep sensitive and regulated data secure.
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By Snowflake
As companies have recognized the importance of unifying customer data to obtain business insights, customer data platforms that consolidate and activate known customer information have become ubiquitous. Customer data platforms enable marketers to segment and share customer profiles with marketing systems to personalize the content of email campaigns, digital ads, and other channels. In this ebook, we explore how marketers can launch and operate a customer data platform successfully, with a focus on how to.
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Snowflake’s mission is to enable every organization to be data-driven. Our cloud-built data platform makes that possible by delivering instant elasticity, secure data sharing and per-second pricing, across multiple clouds. Snowflake combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud at a fraction of the cost of traditional solutions.
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
What Makes Snowflake Unique:
- A Multi-Cluster Shared Data Architecture Across Any Cloud: Easily scale up and down any amount of computing power for any number of workloads or users and across any combination of clouds, while accessing the same, single copy of your data but only paying for the resources you use thanks to Snowflake’s per-second pricing.
- Secure Data Sharing and Collaboration: Eliminate the cost and headache of static data sharing methods by easily sharing any amount of live structured and semi-structured data, without having to move data, whether it be across your enterprise, with customers and business partners, or to monetize your data.
- One, Near-Zero Maintenance Platform Delivered as a Service: Choose any combination of infrastructure providers, enable your workloads where you want, rely on Snowflake to manage the data platform, and deploy across and between different clouds and regions to support business efficiencies and data sovereignty.
A Modern Data Platform Built For Any Cloud.