Snowflake is a top cloud data platform. It made big news at its BUILD 2024 conference. Now, it’s easier for companies to use data and AI for new ideas.
They can now make apps that talk to users. These apps use data from inside the company and from outside too. This changes how we get information from our data.
Key Takeaways
- Snowflake’s new Cortex Chat API lets developers make apps that talk. These apps can use data from inside and outside the company.
- The platform has cool AI tools. It supports over 20 metrics to make sure AI is safe and works well.
- Snowflake’s new Document Preprocessing Functions help with text. They make it easier to use unstructured data in AI.
- Snowflake’s Container Runtime and Model Serving help make and use AI models fast. They use GPU power for training and using models.
- There are also features for keeping data safe and making sure everything works right. This makes people trust Snowflake’s AI data system.
Understanding Snowflake’s Latest AI Data Cloud Innovation
Snowflake is making big changes in how we use data. They’ve grown their Cortex AI platform a lot in six months. Now, it’s easier to use AI with different data sources.
This makes building AI apps simpler. It also helps with managing and checking how well these apps work.
Evolution of Enterprise Data Access
Snowflake’s new tools, like Cortex AI and the Horizon Catalog, are key. They bring new features like generative AI and better security. This helps everyone use data better for making smart choices.
Core Features of Snowflake’s New Chat Interface
- Multimodal support for structured and unstructured data, allowing users to interact with their data through natural language questions.
- Seamless integration with knowledge bases, such as SharePoint, to enhance the contextual understanding of user queries.
- Advanced document preprocessing functions that leverage the Arctic-TILT model to extract valuable insights from text-heavy documents.
- A streamlined Cortex Chat API that simplifies the integration between application front-ends and Snowflake, making it easier to query enterprise data.
Integration with Existing Systems
Snowflake’s new stuff works well with other tools and platforms. You can use it with apps like Salesforce and Google Workspace. This makes it easy for everyone to use data for smart decisions.
“Snowflake’s Cortex AI and Horizon Catalog are transforming how enterprises access and utilize their data, driving a new era of data-driven decision-making.”
Snowflake keeps getting better at making data easy to use. They’re leading the way in how we manage data and use AI.
| Feature | Description |
|---|---|
| Multimodal Support | Enables users to interact with structured and unstructured data using natural language |
| Knowledge Base Integration | Enhances contextual understanding of user queries by connecting to platforms like SharePoint |
| Document Preprocessing | Leverages the Arctic-TILT model to extract valuable insights from text-heavy documents |
| Cortex Chat API | Streamlines integration between application front-ends and Snowflake for seamless data querying |
Snowflake opens chat-driven access to enterprise and third-party data
Snowflake has made a big change in its AI Data Cloud. Now, companies can easily get to their data through a chat interface. This makes it simple to find and use lots of data, leading to better answers.
One cool thing is Snowflake’s support for images and soon audio in chats. This makes looking at data more fun and easy to understand. Also, Snowflake can now connect to SharePoint, making it easy to find important company info in chats.
Snowflake’s Cortex Knowledge Extensions on the Snowflake Marketplace also help. They give access to lots of third-party data, while keeping publishers’ rights safe. This also helps content providers make money.
Snowflake’s new features are changing how companies use their data. They help make better choices and grow the business. Snowflake is leading the way in making data use easier and more effective.
Enhanced Multimodal Support and Knowledge Base Integration
Snowflake is changing how companies use their data. They’ve added new tools that make it easier to get and understand data. This helps businesses use their data better.
SharePoint Connector and Document Processing
The Snowflake Connector for SharePoint is a big step forward. It connects Snowflake to company knowledge bases. Now, users can work with many document types like PDFs and Word files right in Snowflake.
Third-Party Data Integration Capabilities
Snowflake has made it simpler to bring together data from different places. This data integration helps with all kinds of data. It lets companies see their data in a complete way.
AI-Ready Document Preprocessing
Snowflake has also brought in new natural language processing tools. These tools help get data ready for analysis and AI use. They make working with documents easier.
Snowflake’s updates help companies get the most from their data. They make it easier to access, integrate, and analyze data. This is great for making smart business choices and achieving goals.
Accelerating AI Development with GPU-Powered Solutions
More and more, companies want to make their AI better faster. Snowflake, a leader in data cloud, has new tools. These tools use GPUs to make AI and machine learning work faster.
Snowflake’s Cortex AI has seen a huge jump in use, more than doubling in six months. This shows how important AI solutions are. Snowflake now lets users check AI apps with many metrics. This helps make sure AI is trustworthy and fair.
Snowflake’s new feature, Container Runtime, is coming to AWS and Azure soon. It lets users use GPUs for AI projects. This makes it easier for experts to work on AI.
| Feature | Description |
|---|---|
| Snowflake ML | Supports distributed ML training jobs on GPUs through the Container Runtime feature, accessible via Snowflake Notebooks. |
| Model Serving in Containers | Allows deployment of internally and externally-trained models, including open-source LLMs and embedding models, into Snowpark Container Services for production using distributed CPUs or GPUs. |
| Observability for ML Models | Enables the monitoring of performance and metrics for models running inference in Snowflake, helping enterprises detect model degradation in production. |
Snowflake also lets companies use AI models in their work. This includes big language models and other AI tools. It helps businesses use AI to get better at what they do.
Snowflake keeps making AI better for companies. They offer tools for fast AI training, easy model use, and checking AI work. This helps companies use AI to innovate and grow.
“Snowflake’s innovations enable users to evaluate and monitor generative AI apps with over 20 metrics for relevance, groundedness, stereotype, and latency.”
Built-in Governance and Security Measures
Snowflake’s platform focuses on strong governance and security. It protects sensitive data and ensures it’s used responsibly. Snowflake has advanced data protection and access control. This helps organizations control their data well.
Data Protection and Access Controls
Snowflake has great data protection features. It has granular access controls. This lets admins set up strict permissions for users and data.
This way, only the right people can see and use sensitive data. It helps prevent data breaches and unauthorized access.
Compliance and Monitoring Features
Snowflake helps meet regulatory needs with its monitoring tools. These tools track data use and access. They also watch for suspicious activities.
This helps organizations keep a close eye on their data. It shows they follow important data privacy and security rules.
Trust and Safety Guardrails
Snowflake’s platform has trust and safety features. It includes Observability for ML Models from TruEra. This watches how models perform in Snowflake.
It also has Model Explainability. This lets users see how each feature affects a model’s output. It helps find and fix model weaknesses.
These features make AI insights from Snowflake more trustworthy. They build confidence in the data-driven insights Snowflake offers.
“Snowflake’s robust governance and security measures demonstrate its commitment to empowering organizations to harness the power of enterprise data democratization while prioritizing data protection and responsible AI development.”
| Feature | Description |
|---|---|
| Granular Access Controls | Enables administrators to define precise permissions and restrictions for various user roles and data assets, ensuring only authorized personnel can access sensitive information. |
| Compliance and Auditing Tools | Allows organizations to track data usage, access patterns, and suspicious activities, helping maintain oversight and demonstrate compliance with relevant data privacy and security standards. |
| Observability for ML Models | Integrates technology from TruEra to monitor the performance and metrics of models running inference in Snowflake, enhancing transparency and trust in AI-driven insights. |
| Model Explainability | Enables users to compute Shapley values for models logged in the Model Registry, allowing them to understand how each feature impacts the model’s output and detect potential weaknesses. |
Conclusion
Snowflake is making big changes in how we use data. They’re making it easier to get to data with chat and AI. This will change how businesses use their data.
They’re also making data safer and more secure. This is great for keeping data safe. Snowflake is leading the way in using AI for data.
They’re making data easier to understand with AI. This means businesses can make better decisions. They can use natural language to ask questions and get answers.
Snowflake is growing fast because of AI. They’re making data better for AI to use. This means AI can work better and faster.
They’re using special computers to make AI work faster. This helps businesses use AI more. Snowflake is helping businesses use AI to get better results.
Snowflake is a trusted partner for businesses. They make it easy to get to data and keep it safe. They work well with other systems and help businesses use their data better.
This means businesses can do more with their data. They can make big changes and get better results. Snowflake is helping businesses use their data in new and exciting ways.
