For years, businesses have relied on data-driven insights, delivered through dashboards and reports, to guide decisions. Tools like Tableau, Power BI, and Qlik revolutionized analytics by making data visualization more accessible and intuitive. Over time, newer platforms such as Looker and ThoughtSpot pushed the boundaries even further—integrating natural language search and augmented intelligence. Yet even with these advances in business intelligence (BI) and emerging AI-assisted analytics, many organizations are still left wanting more: deeper insights, broader access, and greater context across the enterprise.
Today, with the rise of GenAI, data democratization has become more achievable than ever. The ability to “talk to your data” in natural language is reshaping how people interact with information. Yet until now, achieving this vision meant layering multiple technologies on top of complex data ecosystems— introducing governance, metadata, and trust challenges.
Snowflake Intelligence isn’t just another analytics tool—it’s a unified framework that combines natural language interaction, trusted data governance, and AI-driven intelligence. It simplifies access to data while ensuring results are authoritative, secure, and contextually relevant. And because it integrates with other AI capabilities in Snowflake, it amplifies both governance and innovation across the enterprise.
At Blend, we’ve helped organizations navigate this evolution—from BI dashboards to LLM-powered insights. Snowflake Intelligence takes this further, offering a standards-based, secure, and scalable solution that connects to multiple data sources and transforms how decisions are made.
Through a single chat interface, Snowflake Intelligence understands user context, permissions, and metadata—delivering the right answers in natural language. A few examples:
Governance is built into Snowflake Intelligence. From single sign-on to fine-grained access controls at the table, row, or column level, it ensures every insight adheres to compliance and security standards.
Blend’s BlendX Agentic Foundry accelerates development of agentic applications on Snowflake. Work done to maximize the effectiveness of Snowflake Intelligence directly benefits the agents you are building in BlendX. By documenting data and marking authoritative queries, organizations achieve smarter agents and stronger data democratization.
Together, BlendX and Snowflake Intelligence create a seamless ecosystem where data, automation, and decision-making converge.
Modern analytics isn’t about static reports—it’s about dynamic, intelligent data.
Start by finding high-impact use cases where teams can explore complex datasets conversationally. Consider all roles—from business leaders to engineers—who can benefit from faster, governed, natural- language access to data.
With Snowflake Intelligence data becomes a living asset—empowering every decision, every day.
For years, businesses have relied on data-driven insights, delivered through dashboards and reports, to guide decisions. Tools like Tableau, Power BI, and Qlik revolutionized analytics by making data visualization more accessible and intuitive. Over time, newer platforms such as Looker and ThoughtSpot pushed the boundaries even further—integrating natural language search and augmented intelligence. Yet even with these advances in business intelligence (BI) and emerging AI-assisted analytics, many organizations are still left wanting more: deeper insights, broader access, and greater context across the enterprise.
Today, with the rise of GenAI, data democratization has become more achievable than ever. The ability to “talk to your data” in natural language is reshaping how people interact with information. Yet until now, achieving this vision meant layering multiple technologies on top of complex data ecosystems— introducing governance, metadata, and trust challenges.
Snowflake Intelligence isn’t just another analytics tool—it’s a unified framework that combines natural language interaction, trusted data governance, and AI-driven intelligence. It simplifies access to data while ensuring results are authoritative, secure, and contextually relevant. And because it integrates with other AI capabilities in Snowflake, it amplifies both governance and innovation across the enterprise.
At Blend, we’ve helped organizations navigate this evolution—from BI dashboards to LLM-powered insights. Snowflake Intelligence takes this further, offering a standards-based, secure, and scalable solution that connects to multiple data sources and transforms how decisions are made.
Through a single chat interface, Snowflake Intelligence understands user context, permissions, and metadata—delivering the right answers in natural language. A few examples:
Governance is built into Snowflake Intelligence. From single sign-on to fine-grained access controls at the table, row, or column level, it ensures every insight adheres to compliance and security standards.
Blend’s BlendX Agentic Foundry accelerates development of agentic applications on Snowflake. Work done to maximize the effectiveness of Snowflake Intelligence directly benefits the agents you are building in BlendX. By documenting data and marking authoritative queries, organizations achieve smarter agents and stronger data democratization.
Together, BlendX and Snowflake Intelligence create a seamless ecosystem where data, automation, and decision-making converge.
Modern analytics isn’t about static reports—it’s about dynamic, intelligent data.
Start by finding high-impact use cases where teams can explore complex datasets conversationally. Consider all roles—from business leaders to engineers—who can benefit from faster, governed, natural- language access to data.
With Snowflake Intelligence data becomes a living asset—empowering every decision, every day.
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