News from the AI & ML world
DeeperML - #snowflake
|
@futurumgroup.com
//
References:
futurumgroup.com
, www.bigdatawire.com
Snowflake Summit 2025, held in San Francisco, showcased Snowflake's intensified focus on AI capabilities, built upon a unified data foundation. Attracting approximately 20,000 attendees, the event underscored the company’s commitment to making AI and machine learning more accessible and actionable for a broad range of users. Key themes revolved around simplifying AI adoption, improving data interoperability (especially for unstructured and on-premises data), enhancing compute efficiency, embedding AI into data governance, and empowering developers with richer tooling.
Major announcements highlighted the expansion of the Snowflake AI Data Cloud's capabilities. Cortex AI was a central focus, with the introduction of Cortex AISQL, which embeds generative AI directly into queries to analyze diverse data types. This allows users to build flexible pipelines using SQL, marking a significant evolution in the intersection of AI and SQL across multimodal data. Another notable launch was SnowConvert AI, an automation solution designed to accelerate migrations from legacy platforms by automating code conversion, testing, and data validation, reportedly making these phases 2-3 times faster. Snowflake also introduced Cortex Knowledge Extension which allows information providers to create a Cortex Search service over their content without copying or exposing the entire information corpus. This enables a "share without copying" model paid via Snowflake. Furthermore, Snowflake's acquisition of Crunchy Data, a provider of Postgres managed services, signals the growing importance of relational databases in supporting AI agents. These updates and acquisitions position Snowflake to meet the increasing demands of enterprises seeking to leverage AI for data-driven insights and operational efficiency. Recommended read:
References :
@www.infoworld.com
//
References:
The Dataiku Blog
, www.infoworld.com
,
Snowflake is enhancing its data analysis capabilities with the introduction of AISQL, a new feature within its Cortex AI platform. AISQL leverages generative AI to power SQL functions, enabling data analysts to directly analyze unstructured data using SQL without the need for specialized expertise or involvement from data engineers. This functionality is designed to simplify tasks such as sentiment analysis and image classification.
AISQL is part of Snowflake’s Cortex AI, which already offers serverless functions that can be called from SQL or Python. It aims to improve query performance, reduce reliance on data engineers and data scientists, and cut costs. By incorporating large language models (LLMs) from Anthropic, Meta, Mistral, and OpenAI, AISQL generates SQL functions that analyze unstructured data more efficiently. The launch of AISQL is part of Snowflake's broader strategy to make AI application development more accessible. Recent enhancements to Cortex, including Cortex Agents and a conversational interface, demonstrate Snowflake's commitment to providing users with tools to build and deploy AI applications using their own data. Additionally, Snowflake has partnered with Stack Overflow, making their data available on the Snowflake Marketplace to enrich AI applications with trusted, high-quality information. Recommended read:
References :
Chris McKay@Maginative
//
Snowflake is aggressively expanding its footprint in the cloud data platform market, moving beyond its traditional data warehousing focus to become a comprehensive AI platform. This strategic shift was highlighted at Snowflake Summit 2025, where the company showcased its vision of empowering business users with advanced AI capabilities for data exploration and analysis. A key element of this transformation is the recent acquisition of Crunchy Data, a move that brings enterprise-grade PostgreSQL capabilities into Snowflake’s AI Data Cloud. This acquisition is viewed as both a defensive and offensive maneuver in the competitive landscape of cloud-native data intelligence platforms.
The acquisition of Crunchy Data for a reported $250 million marks a significant step in Snowflake’s strategy to enable more complex data pipelines and enhance its AI-driven data workflows. Crunchy Data's expertise in PostgreSQL, a well-established open-source database, provides Snowflake with a FedRAMP-compliant, developer-friendly, and AI-ready database solution. Snowflake intends to provide enhanced scalability, operational governance, and performance tooling for its wider enterprise client base by incorporating Crunchy Data's technology. This strategy is meant to address the need for safe and scalable databases for mission-critical AI applications and also places Snowflake in closer competition with Databricks. Furthermore, Snowflake introduced new AI-powered services at the Summit, including Snowflake Intelligence and Cortex AI, designed to make business data more accessible and actionable. Snowflake Intelligence enables users to query data in natural language and take actions based on the insights, while Cortex AISQL embeds AI operations directly into SQL. These initiatives, coupled with the integration of Crunchy Data’s PostgreSQL capabilities, indicate Snowflake's ambition to be the operating system for enterprise AI. By integrating such features, Snowflake is trying to transform from a simple data warehouse to a fully developed platform for AI-native apps and workflows, setting the stage for further expansion and innovation in the cloud data space. Recommended read:
References :
Patrick Phrayme@The Dataiku Blog
//
Snowflake has unveiled a significant expansion of its AI capabilities at its annual Snowflake Summit 2025, solidifying its transition from a data warehouse to a comprehensive AI platform. CEO Sridhar Ramaswamy emphasized that "Snowflake is where data does more," highlighting the company's commitment to providing users with advanced AI tools directly integrated into their workflows. The announcements showcase a broad range of features aimed at simplifying data analysis, enhancing data integration, and streamlining AI development for business users.
Snowflake Intelligence and Cortex AI are central to the company's new AI-driven approach. Snowflake Intelligence acts as an agentic experience that enables business users to query data using natural language and take actions based on the insights they receive. Cortex Agents, Snowflake’s orchestration layer, supports multistep reasoning across both structured and unstructured data. A key advantage is governance inheritance, which automatically applies Snowflake's existing access controls to AI operations, removing a significant barrier to enterprise AI adoption. In addition to Snowflake Intelligence, Cortex AISQL allows analysts to process images, documents, and audio within their familiar SQL syntax using native functions. Snowflake is also addressing legacy data workloads with SnowConvert AI, a new tool designed to simplify the migration of data, data warehouses, BI reports, and code to its platform. This AI-powered suite includes a migration assistant, code verification, and data validation, aiming to reduce migration time by half and ensure seamless transitions to the Snowflake platform. Recommended read:
References :
|
BenchmarksBlogsResearch Tools |