San Francisco, that – The landscape of data clouds buzzes like Snowflake, a heavyweight in data storage and analysis, has today carried out the envelopments of two potentially transformative AI solutions: Cortex Aisql And Snowflake Intelligence. Revealed to the prestigious Snowflake topThese innovations are designed to fundamentally modify how organizations interact and draw the intelligence of their data, effectively democratizing the advanced AI tools for a wider range of users.
It is not only a question of adding features; It is a clear signal of the ambition of Snowflake to deeply weave the AI ​​in the fabric of data operations, which makes the analytical power formerly complex both intuitive and widely available.
Take away: the evolution of Snowflake AI
- AC accessibility is redefined: The latest offers from Snowflake, Cortex Aisql and Snowflake Intelligence, should considerably lower the entry barriers to a sophisticated AI, addressing both technical analysts and everyday professional users.
- SQL meets AI intelligence: Cortex AISQL ingeniously incorporates AI's capacities in the familiar SQL framework, allowing data analysts to perform complex semantic requests without the need for deep AI specialization.
- Discovery of conversational data: Snowflake Intelligence revolutionizes data interaction for non -technical users, allowing them to “speak” to their natural language data to discover information, bypassing SQL or dashboards.
- Unlock the value of universal data: This double launch points out a strategic thrust to make AI -focused information a standard operational asset, allowing organizations to extract greater strategic value from their entire data field.
Cortex aisql: bridging sql proachy with an advanced logic
Consider the power of your existing SQL skills, now amplified to navigate the nuanced world of semantic data relationships. Cortex Aisql is designed to make it a practical reality.
In its heart, Cortex Aisql works as an intelligent engine which instills the SQL language widely adopted with the possibility of questioning and understanding semantic connections through structured and even multimodal data, all operating on a large scale. It is a question of providing a context of sophisticated AI to your current workflows.
Benefits:
High analysis via SQL: Data professionals can now run very advanced analytical requests, including those involving a semantic understanding, directly in Snowflake using their SQL expertise, all refined for optimal performance.
Upskilling analysts with AI navigators: This tool effectively authorizes data analysts, allowing them to build and execute IA -oriented queries which were previously the field of specialized AI researchers, without arduous recycling process.
Integrated efficiency and cost control: By integrating these AI capacities directly into the snowflake platform, organizations can anticipate significant performance increases and an operational cost reduction, avoiding complexities in the management of IA external tools and infrastructure.
The involvement is clear: the AISQL cortex aims to make the interrogation of data on AI more widespread, transforming how analysts reveal deep contextual information. This effectively Team SQL users with analytical capabilities of AI areas.
Snowflake Intelligence: Data Converse data – No necessary code
For professional users who need rapid information but who do not commonly speak SQL or Dashboard, Snowflake Intelligence arrives as a breath of fresh air, allowing direct conversation with data.
Interestingly, the Snowflake sales team uses Snowflake Intelligence to analyze sales data and find new information. It is a strong signal that their tools are really effective for the commercial challenges of the real world.
Snowflake Intelligence materializes the concept of “talking to your data”. It is a sophisticated cat that allows users with limited technical history of asking their structured and unstructured data in simple English, receiving governed and reliable information in return.
Benefits:
Autonomy of real data for professional users: This allows the stakeholders of the company to explore independently of data, to find answers to urgent questions and to promote a more agile and data operational pace.
Exploration of unified and governed data: It provides a secure gateway to question the various data sources of an organization in the various data sources, ensuring that the information is complete and that the data governance and data security protocols are maintained.
Optimization of expert data resources: By allowing self-service affairs for many common data requests, this considerably releases data science teams and ad hoc requests, which allows them to focus on more complex and strategic data challenges.
The intuitive power of this was palpable in a demonstration where simple and conversational prompts led to revelations of significant data, presenting its immense potential to Transform any commercial user into an efficient data researcher.
Forge a new path in the data synergy
The introduction of Cortex Aisql And Snowflake Intelligence Mark an important Snowflake strategic decision. It is not just an incremental update of the product; It is a bold declaration on the redefinition of the future of data interaction in a world focused on AI. By considerably simplifying access to complex analyzes and information fueled by AI, Snowflake will allow organizations to more fully exploit the strategic power inherent in their data.
Jean-Marc is a successful AI activity manager. It leads and accelerates the growth of the solutions fueled by AI and launched a computer vision company in 2006. He is a recognized speaker during IA conferences and a MBA of Stanford.
