Systems | Development | Analytics | API | Testing

Power Holistic Customer Insights with Salesforce and Snowflake Data Sharing-Based Integration

Snowflake and Salesforce have built on our existing partnership to unify the full breadth of customer and business data and generate actionable insights for our customers. We are happy to announce the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. Organizations can now leverage Salesforce data directly in Snowflake via zero-ETL data sharing to accelerate decision-making and help streamline business processes.

Streaming Pipelines With Snowflake Explained In 2 Minutes

Streaming data has been historically complex and costly to work with. That's no longer the case with Snowflake's streaming capabilities. Together, Snowpipe Streaming and Dynamic Tables (in public preview) break the barrier between batch and streaming systems. Now you can build low-latency data pipelines with serverless row-set ingestion and declarative pipelines with SQL. You can easily adapt to your business requirements to change latency as a single parameter.

Securely Connect to LLMs and Other External Services from Snowpark

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. Functions or procedures written by users in these languages are executed inside of Snowpark’s secure sandbox environment, which runs on the warehouse.

Snowpark ML: The 'Easy Button' for Open Source LLM Deployment in Snowflake

Companies want to train and use large language models (LLMs) with their own proprietary data. Open source generative models such as Meta’s Llama 2 are pivotal in making that possible. The next hurdle is finding a platform to harness the power of LLMs. Snowflake lets you apply near-magical generative AI transformations to your data all in Python, with the protection of its out-of-the-box governance and security features.

UK Energy Company EDF Turns To Snowpark In Its Quest To Achieve Net Zero

EDF, the UK's leading home and business gas and electricity company, has a mission to help Britain achieve net zero greenhouse gas emissions. With the Snowflake Data Cloud, EDF has built a customer intelligence platform to help its customers save energy and money, ultimately helping Britain achieve that Net Zero benchmark. By using Snowpark, EDF can transform large processes with billions of rows of data and have its data science team run ML models directly where the data sits.

Beyond Data-Driven: How Today's Leading Retailers Are Leveraging Insights to Sell Better

Supply chain disruption continues to affect retailers, consumer packaged goods companies (CPGs), and customers. Constraints on the ability to produce goods have limited the availability of in-demand products, leading to inflation. Not only are manufacturers not making enough products in line with demand in industries such as automotive and electronics, at the same time, those products have become much more expensive.

Snowflake Summit 2023 Keynote: Generative AI's Impact on Data Innovation in the Enterprise

Nearly every enterprise is assessing the potential for Generative AI to better serve their users and customers. Join this CEO fireside chat with Jensen Huang from NVIDIA and Snowflake’s Frank Slootman as they discuss trends in Generative AI and accelerated computing, the pace of disruption, and the impact on every industry and business model. Sarah Guo, former Greylock general partner and current founder and CEO of Conviction, moderates.

Snowflake Summit 2023 Panel Discussion: Predictions on Generative AI and LLMs in the Enterprise

In the fast-changing world of generative AI and large language models (LLMs), it can be especially challenging to sift through the buzz and prioritize which use cases will have the biggest impact on your business. Join Christian Kleinerman, SVP Product at Snowflake, for a moderated discussion with some of the leaders in this space as they share their perspectives, predictions, and thoughts on what enterprises should consider when adopting this technology.