Systems | Development | Analytics | API | Testing

March 2024

Snowflake Data Clean Rooms: Securely Collaborate to Unlock Insights and Value

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, generally available to customers in AWS East, AWS West and Azure West.

Snowflake Invests in Observe to Expand Observability in the Data Cloud

As organizations seek to drive more value from their data, observability plays a vital role in ensuring the performance, security and reliability of applications and pipelines while helping to reduce costs. At Snowflake, we aim to provide developers and engineers with the best possible observability experience to monitor and manage their Snowflake environment. One of our partners in this area is Observe, which offers a SaaS observability product that is built and operated on the Data Cloud.

Predict Known Categorical Outcomes with Snowflake Cortex ML Classification, Now in Public Preview

Today, enterprises are focused on enhancing decision-making with the power of AI and machine learning (ML). But the complexity of ML models and data science techniques often leaves behind organizations without data scientists or with limited data science resources. And for those organizations with strong data analyst resources, complex ML models and frameworks may seem overwhelming, potentially preventing them from driving faster, higher-quality insights.

Snowflake Brings Gen AI to Images, Video and More With Multimodal Language Models from Reka in Snowflake Cortex

Snowflake is committed to helping our customers unlock the power of artificial intelligence (AI) to drive better decisions, improve productivity and reach more customers using all types of data. Large Language Models (LLMs) are a critical component of generative AI applications, and multimodal models are an exciting category that allows users to go beyond text and incorporate images and video into their prompts to get a better understanding of the context and meaning of the data.

Predicting the Generative AI Revolution Requires Learning From Our Past

Having frequently worked with governments around the world over the course of my career, I’ve had all kinds of discussions about the global impact of generative AI. Today, I’m publicly wading into those waters to deliver my perspective, and my opinion is that … it’s incredibly hard to predict the future. Done. Wrapped up this entire post in a single sentence.

The Modern Data Streaming Pipeline: Streaming Reference Architectures and Use Cases Across 7 Industries

Executives across various industries are under pressure to reach insights and make decisions quickly. This is driving the importance of streaming data and analytics, which play a crucial role in making better-informed decisions that likely lead to faster, better outcomes.

Why a Solid Data Foundation Is the Key to Successful Gen AI

Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully. Migrating to the cloud made that possible.

Mapbox Snowflake Native App Opens Geospatial Analytics to New Audiences

Geospatial data can give a business a competitive edge — especially when it’s combined with the company’s own data resources. Considering a new store location? You’ll want to analyze not just where your nearest competitors and potential customers are, but also retail footfall numbers, historical traffic patterns, distance from distribution centers, environmental factors, potential delivery times to customers and more. You need geospatial data to make it all happen.

The Snowflake Government & Education Data Cloud

In order to deliver on their missions, public agencies and departments must modernize IT to improve citizen services, streamline operational inefficiencies, drive research and innovation, and enable data collaboration across and beyond organizational lines. Unfortunately, the ability of public sector organizations to generate value from data is hindered by several challenges, including technical delays caused by legacy IT infrastructure, policy roadblocks, and institutional status quos. The public sector needs a protected, scalable, and flexible platform to centralize, govern, and securely share mission-critical data.

How Financial Services and Retail Companies Are Accelerating their Data, Apps and AI Strategy in the Data Cloud

Last year, we held our first Accelerate event, to explore industry trends, data and technology innovations, and data strategy case studies in financial services. This year, we are expanding to five industry events, featuring leaders in financial services; retail and consumer goods; manufacturing; media, advertising and entertainment; and healthcare and life sciences. Accelerate Financial Services and Accelerate Retail are one-day virtual events brought to you by Microsoft.

Establishing A Robust Data Foundation To Maximize The Benefits Of Gen AI

Newly appointed Snowflake CEO Sridhar Ramaswamy joins Snowflake's Director of Engineering Mona Attariyan and "Data Cloud Now" anchor Ryan Green to discuss the need for organizations to prepare themselves to take full advantage of Gen AI by implementing a carefully developed data strategy that eliminates data silos and promotes data sharing while protecting data privacy.

How Financial Services Should Prepare for Generative AI

It’s no surprise that ever since ChatGPT’s broader predictive capabilities were made available to the public in November 2022, the sprawl of stakeholder capitalization on large language models (LLMs) has permeated nearly every sector of modern industry, accompanied or exacerbated by collective fascination. Financial services is no exception. But what might this transformation look like, from practical applications to potential risks?

Exploring The Benefits Of Elysium Analytics's Open Data Model

"Powered by Snowflake" host Phoebe He sits down with Satish Abburi, Founder and CTO of Elysium Analytics, to discuss his company's modern log analytics platform, which seamlessly offers scalable search, security, and observability solutions powered by open-source tools and the Snowflake Data Platform. For more information about Elysium Analytics, go to: To connect with Satish Abburi, go to.

Government's Cybersecurity Regulatory Framework Expands to Healthcare and Other Industries

Cyberattacks are devastating, especially when they derail real-world critical services like healthcare. An especially troubling attack field is ransomware: In 2022, 66% of U.S. hospitals were targeted in ransomware attacks, an increase of almost 50% from 2021, and 289 hospitals were affected by successful ransomware attack incidents. Healthcare organizations paid the ransom in about 61% of ransomware incidents, the highest rate of any industry.

How Apps Bring Gen AI & LLMs To Life

In this conversation with Snowflake's Christian Kleinerman, Amanda Kelly, and Adrien Treuille, "Data Cloud Now" anchor Ryan Green discusses the origins of Streamlit, its exponential growth as an application development tool since being acquired by Snowflake, and the important role it is playing in the development of machine learning models across all industries. This wide-ranging conversation also explores the ways Gen AI and LLMs will transform the application development process and touches on the role the Open Source community will play in that transformation.

Snowflake Ventures Invests in Landing AI, Boosting Visual AI in the Data Cloud

As Large Language Models are revolutionizing natural language prompts, Large Vision Models (LVMs) represent another new, exciting frontier for AI. An estimated 90% of the world’s data is unstructured, much of it in the form of visual content such as images and videos. Insights from analyzing this visual data can open up powerful new use cases that significantly boost productivity and efficiency, but enterprises need sophisticated computer vision technologies to achieve this.

Gen AI And LLMs Will Transform The Enterprise

Snowflake's Mona Attariyan, Director of Engineering, leads this conversation with Snowflake's Sunny Bedi, CIO and CDO, and Jennifer Belissent, Principal Data Strategist, about the impact Gen AI and LLMs will have on enterprises. Topics covered range from the impact on employee productivity, the personalization of the customer experience, the opportunities for data monetization. and more.

Gen AI And LLMs Will Change Our Lives Profoundly

How will Gen AI and LLMs impact the nature of people's jobs and worker productivity? "Data Cloud Now" anchor Ryan Green kicked off the Data and AI Predictions 2024 event in January by discussing that topic with Snowflake's CEO Sridhar Ramaswamy and Mona Attariyan, Director of Engineering. The conversation also covers the potential for AI to generate misinformation and the need to establish ethical guardrails for the technology.