• Snowflake information lets businesses interact with data through natural language.
• It enables the creation of AI agents to automate tasks and extract insights.
• The framework integrates with popular tools and ensures top-notch security standards.

Snowflake Inc.  announced Snowflake Intelligence, a groundbreaking platform designed to streamline data interaction using AI. Unveiled at Build 2024, the new platform allows organizations to interact with their data via natural language, creating data agents to analyze and execute tasks.

Snowflake intelligence, powered by Snowflake Cortex AI, enables users to ask data-related questions directly. Additionally, it integrates with widely used tools such as Salesforce, Google Workspace, and Slack, which simplifies access to calculated information. Besides, the platform’s single governance layer ensures security, privacy, and compliance across various clouds and regions, meeting strict enterprise standards.

Data Agents for Automation and Efficiency

Data agents are central to Snowflake intelligence, allowing businesses to automate tasks and streamline operations. By responding to natural language commands, these agents perform tasks and generate actionable insights, reducing reliance on manual intervention.

Moreover, Snowflake Intelligence offers a low-code environment for creating data agents, making it accessible for non-technical users. Additionally, the platform’s API functionality enables data agents to interact with multiple systems, consolidating information for comprehensive data access. Consequently, this integration improves operational efficiency for enterprises seeking data-driven solutions.

Security and Compliance Through Snowflake Horizon Catalog

The Snowflake Horizon Catalog enhances Snowflake intelligence by providing enterprise-grade security and compliance features. This catalog includes Document AI, which converts unstructured data into searchable formats, improving information retrieval.

Moreover, the Horizon Catalog introduces advanced threat prevention and security monitoring, safeguarding sensitive enterprise data. As a result, organizations can utilize Snowflake Intelligence with confidence, trusting the platform to protect valuable information. These security measures significantly strengthen the platform’s appeal to data-sensitive industries.

Advanced AI Features for Business Transformation*

Snowflake Intelligence integrates Snowflake ML, which supports Container Runtime for running advanced AI models efficiently. The platform also facilitates building cost-effective, high-performing natural language processing (NLP) applications and multimodal conversational tools.

Consequently, these capabilities allow businesses to develop AI applications and NLP pipelines faster, bringing data-driven insights into production more effectively. However, as AI-driven automation becomes increasingly prevalent, the question arises: will platforms like Snowflake Intelligence redefine how businesses manage their data?

The post Snowflake Unveils Snowflake Intelligence for Smarter Data Interaction appeared first on Crypto News Land.

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