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Key takeaways of zdnet
- Snowflake now provides MCP support.
- The company also launched the AI suite for financial institutions.
- The purpose of both is to make the agent AI more secure for sensitive dataset.
On Thursday, the data platform Snowflake announced its own model reference protocol (MCP) server, taking into account the quick trend anthropic set with protocols in the previous spring. The company also announced a new package of the AI tool, which is particularly forwarding to financial services, allowing them to develop AI agents safely and safely.
Also: How Snowflake’s new equipment convert trade analysts into AI developers
New equipment is the expansion of snowflakes Cortex AIThe company’s existing AI services bundle including agents, data query features, analysis, and other allowances includes partnership with anthropic and Opentier model. Cortex AI for financial services is sewn to that industry.
Too: Chatgpt can now connect with the MCP server – how to see and what to see
The AI system, especially the agents, are only as effective as the data they have access. Financial institutions have sensitive ownership data about customers, trades and transactions – keeping it safe that it can be a delicate process taking advantage of automatic, fraud detection, analysis and more.
Snowflake said, “Financial services require a dual approach to embed AI: the technology deeply understanding the business and making it easily accessible to everyone while maintaining confidence and security,” Snowflake said. blog post,
According to a recent MIT study, 95% of organizations struggle to look at ROI from AI adoption, in issues such as security infrastructure deficiency in the form of mistrust, poor application, insufficient training and obstacles.
Mcp server
In short, MCP LLMS and agents allow to safely associate with already silence, ownership or otherwise inaccessible data sources. In public preview, server allows businesses to connect snowflake AI with external agents. For example, Snowflake has integrated the cloud of anthropic for financial services with Cortex AI.
Too: Anthropic now allows developers to use cloud code with any remote MCP server
“With snowflake MCP server, remote agents can now connect with snowflake data as well as third party data share Snowflakes market Through the Cortex Knowledge Extension – enabling the difference with a comprehensive AI ecosystem, “Snowflake said. For finance, integration can help a portfolio manager to connect dots between news, market figures and earnings.
Too: Snowflake has launched Openflow to help manage data at AI age
Financial institutions can use snowflake MCP server to connect platforms and products from companies, including anthropic, mistalai, cursor, agentforce, workdays, and more.
Cortex AI for Financial Services
Snowflake announced a set of equipment to integrate AI agents with finance. According to Snowflake, the new suite makes the management of claims with AI and quantitative research easy (and scalable), keeping the data routes safe.
Too: Snowflake’s new AI agents make their data easy to understand their data for businesses
Snowflake stated in a blog that the equipment brings together the information of an outfit data, external structured data, and “rich, more reference-powered insights” from the information of journalism articles. The company aims to provide an end-to-end pipeline for businesses that present their data to AI, implement agental solutions, and all observe all the observations while maintaining governance and safety standards.
Snowflake said in the blog, “Financial service firm rely on scientists for risk modeling, forecasting, trading analytics and compliance, but most of their time is spent on data preparation and repetition coding.”
Snowflake intelligence and data science agents, as well as Cortex AISQL, create new equipment on the company’s existing AI Prasads, which allow analysts to use the SQL Querry language command, in which AI models produce what the AI models produce, which makes it easier to release information.
Too: Many AI tools? This platform manages them all in one place
For financial services, snowflake openflow helps businesses such as call center tapes in port data and claims reports in Silos, while Cortex AISQL allows analysts to transfer income calls, which already structures hard-to-use data into a working tool. Cortex agents, in public preview, also help in Glen insight by structured and uncomfortable data.
Snowflake said that in minutes, Snowflake said “in minutes,” to help data science agents institutions to create credit risk models or fraud detection systems. “Automatic data cleaning, feature engineering, model prototypeings, and verification so that teams can move rapidly in production-taiyar models from raw data.”
With features such as snowflake marketplace, users can safely access the third-party data to help automatically automate workflows. Cortex AI for financial services allow customers to directly and safely connect with multiple frontier models.
How to try it
Cortex AI is available today for financial services. Snowflake MCP Server is in public preview starting today. Enterprises may request a demo or contact snowflake sales directly.
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