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Spider 2.0-AIFunc benchmark evaluates text-to-SQL for AI-native SQL workflows on Snowflake
Researchers introduce Spider 2.0-AIFunc, a benchmark of 465 verified instances across 125 real-world databases targeting AI-native SQL functions (classification, sentiment analysis, similarity search, etc.) natively exposed by cloud platforms like Snowflake. Existing text-to-SQL benchmarks cover only conventional SQL, leaving a gap in evaluating whether models can generate queries that invoke LLM capabilities inline. Evaluation of ten state-of-the-art models finds top proprietary models reach 67-70% execution accuracy versus 58.1% for the best open-source model, with failures concentrated in predicate specification, schema grounding, and AI function parameterization. Notably, elaborate agent frameworks designed for traditional text-to-SQL do not transfer well to this setting, with minimal agent setups matching or outperforming more complex alternatives.
ChatGPT adds enterprise app templates for GitHub Enterprise, Snowflake, and Databricks
OpenAI has released workspace app templates for ChatGPT Business plan admins, enabling guided setup of integrations with GitHub Enterprise, Snowflake, and Databricks. The templates handle OAuth credentials, callback URLs, webhook details, and managed MCP server URLs, then allow admins to publish and manage apps with role-based access controls. This extends ChatGPT's enterprise connectivity to major data and developer platforms via a standardized MCP-backed integration pattern.
ChatGPT adds enterprise app templates for GitHub Enterprise, Snowflake, and Databricks
OpenAI has released app templates in ChatGPT for Enterprise and Edu plan workspace admins, enabling guided setup of workspace-specific integrations with GitHub Enterprise, Snowflake, and Databricks. The templates handle OAuth credentials, callback URLs, webhook details, and managed MCP server URLs, then allow admins to publish and manage apps with role access and action controls. This extends ChatGPT's enterprise connectivity to major data and developer platforms via a structured provisioning flow.
TAHOE: Error-driven hint learning system substantially improves Text-to-SQL on Spider 2.0
TAHOE is a Text-to-SQL system that treats prompt optimization as a dynamic data management problem, building a structured Hint Bank from compiler, execution, and user feedback without updating model parameters. On the Spider 2.0-Snow benchmark using GPT-5.5, it raises pass rate from 61.95% to 79.42% and achieves 100% Snowflake syntax compliance while reducing compiler-feedback rounds from 2.79 to 0.12. The learned Hint Bank transfers to weaker models, yielding a 19.7 percentage-point gain on Doubao-2.0-lite. The approach targets the production deployment gap between Text-to-SQL prototypes and real-world database environments with strict dialects and large schemas.
Anthropic appoints Hidetoshi Tojo as Head of Japan and announces Tokyo office hiring plans
Anthropic has appointed Hidetoshi Tojo, formerly Japan Country Manager at Snowflake and a veteran of Google Cloud Japan and Microsoft, as its Head of Japan. The company plans to officially open its first Asia office in Tokyo in the coming months and expand local hiring. Existing Japanese enterprise customers include Rakuten, NRI, and Panasonic. The Japan HQ will support partnerships with businesses, policymakers, and platform partners including Amazon Bedrock and Google Cloud Vertex.
Snowflake and Anthropic Announce $200M Multi-Year Partnership for Agentic AI in Enterprise
Anthropic and Snowflake have expanded their strategic partnership into a multi-year, $200 million agreement to deploy Claude models and AI agents across Snowflake's 12,600+ global enterprise customers via Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Azure. The deal centers on agentic AI capabilities including Snowflake Intelligence (powered by Claude Sonnet 4.5), Cortex AI Functions supporting multimodal queries, and Cortex Agents for multi-step data reasoning, with claimed >90% accuracy on complex text-to-SQL tasks. Snowflake customers already process trillions of Claude tokens per month through Cortex AI, and the partnership targets regulated industries including financial services, healthcare, and life sciences. Claude Code is also deployed internally across Snowflake's engineering organization.
Le Chat Launches MCP Connector Directory and Persistent Memories
Mistral AI has released two major features for Le Chat: a directory of 20+ enterprise MCP-powered connectors (beta) spanning data, productivity, development, automation, and commerce tools, plus custom extensibility for any remote MCP server. A Memories feature (beta) has also launched, enabling persistent cross-conversation context with user-controlled storage and privacy settings. Both features are available on the free plan, with enterprise deployment options including self-hosted and private cloud. Mistral is positioning Le Chat as a unified enterprise AI assistant surface competing directly with ChatGPT and similar products.
Anthropic appoints KiYoung Choi as Representative Director of Korea ahead of Seoul office opening
Anthropic has named KiYoung Choi as Representative Director of Korea, ahead of opening a Seoul office. Choi joins from Snowflake and brings over 30 years of technology leadership across Korea and Asia-Pacific, including prior roles at Google Cloud, Adobe, Autodesk, and Microsoft. Korea is cited as a high-engagement market for Claude, with usage running 3.5x above population-expected rates. Existing Korean enterprise customers include SK Telecom and Law&Company.
Snowflake and OpenAI Partner in $200M Enterprise Data Agreement
OpenAI and Snowflake have announced a $200M partnership to integrate OpenAI's frontier models into Snowflake's enterprise data platform. The deal aims to enable AI agents and data insights natively within Snowflake's environment. This represents a significant enterprise deployment move for OpenAI, extending its models into large-scale corporate data workflows.
Anthropic Launches Claude for Financial Services with Claude 4 Models and Ecosystem Integrations
Anthropic has introduced a Financial Analysis Solution targeting finance professionals, built around Claude 4 models and pre-built MCP connectors to data providers including FactSet, S&P Global, PitchBook, Databricks, and Snowflake. Claude Opus 4 reportedly passed 5 of 7 levels of the Financial Modeling World Cup and scored 83% accuracy on complex Excel tasks when deployed by FundamentalLabs. The solution includes Claude Code with expanded usage limits, expert implementation support, and partnerships with major consultancies including Accenture, Deloitte, KPMG, and PwC. Early adopters include Bridgewater's AIA Labs, which has used Claude since 2023 for investment analyst workflows.