Systems | Development | Analytics | API | Testing

May 2024

Retail Media's Business Case for Data Clean Rooms Part 2: Commercial Models

In Part 1 of “Retail Media’s Business Case for Data Clean Rooms,” we discussed how to (1) assess your data assets and (2) define your data structures and permissions. Once you have a plan on paper, you can begin sizing the data clean room opportunity for your business.

A Conversation With ZoomInfo's Philip Zelichenko

In this "Data Cloud Podcast" episode, host Steve Hamm sits down with Philip Zelichenko, VP of Data and Analytics at ZoomInfo, to discuss the benefits the ZoomInfo business go-to-market platform provides to companies. During the conversation, he explains ZoomInfo's role as a data broker that maintains a database with profile information on 100 million companies, iinformation that clients can use to fuel sales and marketing growth.

Retail Media's Business Case for Data Clean Rooms Part 1: Your Data Assets and Permissions

It’s hard to have a conversation in adtech today without hearing the words, “retail media.” The retail media wave is in full force, piquing the interest of any company with a strong, first-party relationship with consumers. Companies are now understanding the value of their data and how that data can power a new, high-margin media business. The two-sided network that exists between retailers and their brands turns into a flywheel for growth.

Snowflake Expands Partnership with Microsoft to Improve Interoperability Through Apache Iceberg

Today we’re excited to announce an expansion of our partnership with Microsoft to deliver a seamless and efficient interoperability experience between Snowflake and Microsoft Fabric OneLake, in preview later this year. This will enable our joint customers to experience bidirectional data access between Snowflake and Microsoft Fabric, with a single copy of data with OneLake in Fabric.

Snowflake Arctic Cookbook Series: Instruction-Tuning Arctic

On April 24, we released Snowflake Arctic with a key goal in mind: to be truly open. In line with that goal, the Snowflake AI Research team is writing a series of cookbooks to describe how to pretrain, fine-tune, evaluate, and serve large-scale mixture-of-experts (MoEs) such as Arctic.

5 Ways Advertising, Media and Entertainment Companies are Using Gen AI

The emergence of generative AI (gen AI) heralds a new, groundbreaking era for advertising, media and entertainment. According to a recent Snowflake report, Advertising, Media and Entertainment Data + AI Predictions 2024, gen AI is going to transform the industry — from content creation to customer experience. The companies that will come out ahead during this time are those that most successfully and quickly supercharge their data strategy.

Preserving Data Privacy in Life Sciences: How Snowflake Data Clean Rooms Make It Happen

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.” However, once anonymized, this data can be used for other inferences in what we can collectively define as secondary analyses.

Revolutionizing The Data Cloud With Snowflake CEO Sridhar Ramaswamy

To kick off the fifth season of "The Data Cloud Podcast," host Steve Hamm is joined by Snowflake CEO Sridhar Ramaswamy. In this episode, Sridhar explains why organizations need to have a data strategy in order to implement a successful AI strategy. He also discusses the steps involved in creating a foundation model from scratch and why he believes AI is the glue that will bind enterprise software together.

Accelerate Your Time Series Analytics with Snowflake's ASOF JOIN, Now Generally Available

Time series data is everywhere. It captures how systems, behaviors and processes change over time. Enterprises across industries, such as Internet of Things (IoT), financial services, manufacturing and more, use this data to drive business and operational decisions. When using time series data to perform analytics and drive decisions, it’s often necessary to join several data sets.

Demo | Snowflake Data Clean Rooms

In December 2023, Snowflake announced its acquisition of data clean room technology provider Samooha. Samooha’s intuitive UI and focus on reducing the complexity of sharing data led to it being named one of the most innovative data science companies of 2024 by Fast Company. Now, Samooha’s offering is integrated into Snowflake and launched as Snowflake Data Clean Rooms, a Snowflake Native App on Snowflake Marketplace.

How Healthcare and Life Sciences Organizations Are Accelerating Data, Apps and AI Strategy in the Data Cloud

Accelerate Healthcare and Life Sciences is a one-day virtual event, featuring technology and business leaders from Elevance Health, Ginkgo Bioworks, Datavant and more, to discover executive priorities, best practices and potential data and AI challenges that are top of mind for 2024.

Snowflake Cortex LLM Functions Moves to General Availability with New LLMs, Improved Retrieval and Enhanced AI Safety

Snowflake Cortex is a fully-managed service that enables access to industry-leading large language models (LLMs) is now generally available. You can use these LLMs in select regions directly via LLM Functions on Cortex so you can bring generative AI securely to your governed data. Your team can focus on building AI applications, while we handle model optimization and GPU infrastructure to deliver cost-effective performance.

Reimagine Batch and Streaming Data Pipelines with Dynamic Tables, Now Generally Available

Since Snowflake’s Dynamic Tables went into preview, we have worked with hundreds of customers to understand the challenges they faced producing high-quality data quickly and at scale. The No. 1 pain point: Data pipelines are becoming increasingly complex. This rising complexity is a result of myriad factors.

Better See and Control Your Snowflake Spend with the Cost Management Interface, Now Generally Available

Snowflake is dedicated to providing customers with intuitive solutions that streamline their operations and drive success. As part of our ongoing commitment to helping customers in this way, we’re introducing updates to the Cost Management Interface to make managing Snowflake spend easier at an organization level and accessible to more roles.

Snowflake's Arctic-TILT: A State-of-the-Art Document Intelligence LLM in a Single A10 GPU

The volume of unstructured data — such as PDFs, images, video and audio files — is surging across enterprises today. Yet documents, which represent a substantial portion of this data and hold significant value, continue to be processed through inefficient and manual methods.

A Look At Gurucul's Threat Detection, Investigation, And Response Platform

In this episode of "Powered by Snowflake, host Julian Forero chats with Nilesh Dherange, Co-founder and CTO of Gurucul, about data, cybersecurity, and machine learning in the context of Gurucul's threat detection, investigation, and response platform. Founded in 2010, Gurucul's mission has always been to bring together different silos of cybersecurity data. In this conversation, Nilesh provides an in-depth demo showing how the platform works, while explaining how its capabilities have advanced over time through the use of machine learning models and the adoption of Snowflake as one of its supported data lakes.

Behind The Scenes Of Snowflake Open Source LLM Arctic

Snowflake CEO Sridhar Ramaswamy and Snowflake Head of AI Baris Gultekin join Adrien Treuille, Director of Product Management, to discuss the launch of Snowflake Arctic, the latest enterprise-grade, truly open large language model (LLM). Snowflake Arctic stands out in the competitive landscape with its exceptional efficiency and cost-effectiveness, emphasizing Snowflake's commitment to open-source development and the future of enterprise AI. Join us to explore how Arctic is set to revolutionize industries by making advanced AI more accessible and trustworthy.

Snowflake Data Clean Rooms for Marketing

In less than 5 minutes, Ankur Abhishek, Senior Product Manager at Snowflake, demostrates how Snowflake Data Clean Rooms can be used for audience overlap, audience lookalike, and attribution analysis. As Kamakshi Sivaramakrishnan, Senior Director of Product Management at Snowflake, explains, "This is the full marketing lifecycle brought in its entirety in a Snowflake clean room, run securely with multiple parties collaborating with each other. This is demystifying clean rooms.".