{ "source": "artificialintelligence-news", "title": "Snowflake expands its technical and mainstream AI platforms", "url": "https://www.artificialintelligence-news.com/news/snowflake-expands-its-technical-and-mainstream-ai-platforms/", "slug": "snowflake-expands-its-technical-and-mainstream-ai-platforms", "published_at": "2026-04-21T14:29:00+00:00", "author": "AI News", "categories": [ "World of Work", "ai", "enterprise", "snowflake", "usability" ], "summary_html": "

Snowflake is expanding its Snowflake Intelligence and Cortex Code offerings in the hope of bringing users deploying and developing artificial intelligence inside the Snowflake portfolio. Snowflake Intelligence is framed as a tool for generalised business users, while Cortex Code is destined for developers and technical teams’ desks. A press release from the company lists additional […]

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The post Snowflake expands its technical and mainstream AI platforms appeared first on AI News.

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Snowflake is expanding its Snowflake Intelligence and Cortex Code offerings in the hope of bringing users deploying and developing artificial intelligence inside the Snowflake portfolio. Snowflake Intelligence is framed as a tool for generalised business users, while Cortex Code is destined for developers and technical teams’ desks.

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A press release from the company lists additional features on both platforms, including an increase in the number of integrations they have with third-party software. It also details new automation features and simpler, web-based methods of building agentic AI workflows.

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White collar and beyond

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Snowflake Intelligence, aimed at non-technical staff, is among the platforms on the market today that advertise an ability to execute tasks inside existing business workflows. Users can describe to the LLM what they’d like to see happen in natural language, and it execute given tasks. Snowflake lists preparing presentations, running multi-step analyses, and sending follow-up messages as some of the uses it envisages. Data can be drawn from an organisation’s internal and linked digital assets, including structured and unstructured data, with external sourcese connected by various protocols and pre-built connectors.

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User queries and ensuing workflows will be carefully limited in terms of access permissions and organisational governance, helping to prevent incidents of data loss and non-compliance.

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New interfaces using MCP (Model Context Protocol) are available, and the company has named the Google business suite, Jira, and Salesforce (including Slack) as among the systems Snowflake Intelligence can now interface with. Also in the works is an iOS app for Snowflake Intelligence which will enter public preview “soon”.

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Snowflake says its Intelligence platform becomes more personalised over time, learning from user behaviour. Users will be able to save and share workflows so that work can be reused. Longer context windows – personalisation – mean that users addressing the large language model should not have to repeat long, contextualised prompts to get the results they want.

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The updates have come about as a result of feedback from Project SnowWork, a research project launched last month to showcase the platform and garner users’ preferences as to what features they’d like to see from an AI platform.

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Snowflake in the development toolkit

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Cortex Code is designed for software development teams in the enterprise, an area in which AI algorithms can prove successful at lower level tasks. Cortex Code is described in company press release as a coding and orchestration “layer” with new options for integration with external data sources, now supporting AWS Glue, Databricks, and Postgres. Cortex Code can also connect to other language models via MCP and ACP (agent communication protocol), the more commerce-driven protocol that emerged around the same time as the Anthropic-stewarded MCP.

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VS Code users will soon see Cortex Code as an extension (it’s currently in private preview), and a Snowflake plugin for Claude Code is currently under development. Snowflake’s Agent Software Development Kit for Python and TypeScript is available, so teams can embed Cortex Code functions in their own applications.

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Cloud Agents, also in private preview, are to appear in Snowsight, Snowflake’s browser-based interface. Plan Mode lets users preview and approve workflows before AI execution, and the company is working on a facility by which end-users can see detail of longer research processes the LLM undertakes to vet the veracity of its processes.

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Snowflake says more than 9,100 customers use its AI products weekly. Since its launch six months ago, Snowflake says more than half of its customers are using Snowflake Intelligence and Cortex Code.

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The company’s dual-pronged approach – mainstream business users and software development teams – doubles down on the company’s core technical market, but widens its the platform’s adoption among general business function users. The new software connectors, mobile app, and browser-based options will create a broader market of users, and the additional support for existing systems will widen its appeal among enterprises with embedded workflows and software platforms.

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Sameer Vuyyuru, chief AI and product officer at Capita, said: “Snowflake helps us deploy AI securely and with the right governance across highly regulated, citizen-facing services where performance, compliance and trust are critical.”

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(Image source: “The snow” by telafree is licensed under CC BY-NC 2.0.)

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Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and co-located with other leading technology events. Click here for more information.

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AI News is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here.

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The post Snowflake expands its technical and mainstream AI platforms appeared first on AI News.

", "content_text": "Snowflake is expanding its Snowflake Intelligence and Cortex Code offerings in the hope of bringing users deploying and developing artificial intelligence inside the Snowflake portfolio. Snowflake Intelligence is framed as a tool for generalised business users, while Cortex Code is destined for developers and technical teams’ desks.\nA press release from the company lists additional features on both platforms, including an increase in the number of integrations they have with third-party software. It also details new automation features and simpler, web-based methods of building agentic AI workflows.\nWhite collar and beyond\nSnowflake Intelligence, aimed at non-technical staff, is among the platforms on the market today that advertise an ability to execute tasks inside existing business workflows. Users can describe to the LLM what they’d like to see happen in natural language, and it execute given tasks. Snowflake lists preparing presentations, running multi-step analyses, and sending follow-up messages as some of the uses it envisages. Data can be drawn from an organisation’s internal and linked digital assets, including structured and unstructured data, with external sourcese connected by various protocols and pre-built connectors.\nUser queries and ensuing workflows will be carefully limited in terms of access permissions and organisational governance, helping to prevent incidents of data loss and non-compliance.\nNew interfaces using MCP (Model Context Protocol) are available, and the company has named the Google business suite, Jira, and Salesforce (including Slack) as among the systems Snowflake Intelligence can now interface with. Also in the works is an iOS app for Snowflake Intelligence which will enter public preview “soon”.\nSnowflake says its Intelligence platform becomes more personalised over time, learning from user behaviour. Users will be able to save and share workflows so that work can be reused. Longer context windows – personalisation – mean that users addressing the large language model should not have to repeat long, contextualised prompts to get the results they want.\nThe updates have come about as a result of feedback from Project SnowWork, a research project launched last month to showcase the platform and garner users’ preferences as to what features they’d like to see from an AI platform.\nSnowflake in the development toolkit\nCortex Code is designed for software development teams in the enterprise, an area in which AI algorithms can prove successful at lower level tasks. Cortex Code is described in company press release as a coding and orchestration “layer” with new options for integration with external data sources, now supporting AWS Glue, Databricks, and Postgres. Cortex Code can also connect to other language models via MCP and ACP (agent communication protocol), the more commerce-driven protocol that emerged around the same time as the Anthropic-stewarded MCP.\nVS Code users will soon see Cortex Code as an extension (it’s currently in private preview), and a Snowflake plugin for Claude Code is currently under development. Snowflake’s Agent Software Development Kit for Python and TypeScript is available, so teams can embed Cortex Code functions in their own applications.\nCloud Agents, also in private preview, are to appear in Snowsight, Snowflake’s browser-based interface. Plan Mode lets users preview and approve workflows before AI execution, and the company is working on a facility by which end-users can see detail of longer research processes the LLM undertakes to vet the veracity of its processes.\nSnowflake says more than 9,100 customers use its AI products weekly. Since its launch six months ago, Snowflake says more than half of its customers are using Snowflake Intelligence and Cortex Code.\nThe company’s dual-pronged approach – mainstream business users and software development teams – doubles down on the company’s core technical market, but widens its the platform’s adoption among general business function users. The new software connectors, mobile app, and browser-based options will create a broader market of users, and the additional support for existing systems will widen its appeal among enterprises with embedded workflows and software platforms.\nSameer Vuyyuru, chief AI and product officer at Capita, said: “Snowflake helps us deploy AI securely and with the right governance across highly regulated, citizen-facing services where performance, compliance and trust are critical.”\n(Image source: “The snow” by telafree is licensed under CC BY-NC 2.0.)\nWant to learn more about AI and big data from industry leaders?\nCheck out\nAI & Big Data Expo\ntaking place in Amsterdam, California, and London. The comprehensive event is part of\nTechEx\nand co-located with other leading technology events. Click\nhere\nfor more information.\nAI News is powered by\nTechForge Media\n. Explore other upcoming enterprise technology events and webinars\nhere\n.\nThe post\nSnowflake expands its technical and mainstream AI platforms\nappeared first on\nAI News\n.", "language": "en", "translations": { "pt": { "content_text": "A Snowflake está expandindo suas plataformas de IA, Snowflake Intelligence e Cortex Code, para oferecer aos usuários que implantam e desenvolvem inteligência artificial dentro do portfólio da Snowflake. O Snowflake Intelligence é para usuários de negócios em geral, enquanto o Cortex Code é para desenvolvedores e equipes técnicas. As plataformas oferecem novos recursos de automação, fluxos de trabalho mais simples e integração com software de terceiros. A Snowflake afirma que mais de 9.100 clientes utilizam seus produtos de IA semanalmente, com mais da metade utilizando o Snowflake Intelligence e o Cortex Code.", "summary_en": "Snowflake is expanding its AI platforms, Snowflake Intelligence and Cortex Code, to bring users deploying and developing artificial intelligence inside the Snowflake portfolio. Snowflake Intelligence is for general business users, while Cortex Code is for developers and technical teams. The platforms offer new automation features, simpler workflows, and integration with third-party software. Snowflake says more than 9,100 customers use its AI products weekly, with over half using Snowflake Intelligence and Cortex Code.", "translated_at": "2026-04-24T11:32:08.600030+00:00", "model": "translategemma:4b", "summary_model": "llama3.1:8b", "source": "json_summary" } }, "image": { "url": "https://virtues.guru/tech-assets/78_Windows_Server_2003_x64_Setup.png", "file": "78_Windows_Server_2003_x64_Setup.png", "title": "File:Windows Server 2003 x64 Setup.png" } }