Intricity的封面图片
Intricity

Intricity

IT 服务与咨询

New York,NY 1,978 位关注者

A Ness Digital Engineering Company | Simplifying Complexity

关于我们

Intricity is a specialized technology services company with expertise in Business Intelligence, Data Warehousing and Information Management with a core focus in the Financial Services marketplace. Intricity solves the industry's most complex business problems by leveraging skilled people, proven processes and the latest technology. With offices across North America, Intricity provides world class services through innovative thought leadership and unparalleled vision into tomorrows business challenges. Our Mission: Intricity is committed to being the best IT services business by providing only proven industry leaders to our clients; to be the easiest company to work with by favoring our clients in our business decisions; to be the best employer by always putting people before profit; and to be the best neighbor by giving back to our community through the donations of time and money.

网站
https://www.intricity.com
所属行业
IT 服务与咨询
规模
51-200 人
总部
New York,NY
类型
私人持股
创立
2006
领域
Business Intelligence、Data Warehousing、Data Governance和CRM

地点

  • 主要

    244 Fifth Avenue

    Suite 2026

    US,NY,New York,10001

    获取路线
  • 51 Consumers Rd.

    CA,ON,Toronto,M2J 3R4

    获取路线
  • 7380 Sand Lake Rd.

    Suite 5200

    US,FL,Orlando,32819

    获取路线
  • 10100 Santa Monica Blvd.

    Suite 300

    US,CA,Los Angeles,90067

    获取路线
  • 401 N. Tryon St.

    10th Floor

    US,NC,Charlotte,,28202

    获取路线

Intricity员工

动态

  • 查看Intricity的组织主页

    1,978 位关注者

    Discover how to leverage Snowflake's Document AI to transform complex documents into structured data. Explore model building, workflow automation, and integration for real-time data insights. KEY LEARNING POINTS: - Extract Valuable Data from Unstructured Documents: Leverage Snowflake’s Document AI to transform unstructured documents like invoices, contracts, or emails into structured data for easy analysis. - Streamlined Model Building: Use pre-trained models for zero-shot extraction or fine-tune for specific document types, all within the familiar Snowflake interface. - Automated Processing Pipelines: Design workflows to continuously process new documents as they arrive, ensuring your data stays up-to-date. - Seamless Integration: Integrate Document AI with other Snowflake features like Snowpipe and Tasks for a comprehensive data processing solution. - Interactive Visualization: Develop a user-friendly Streamlit application to display and verify the extracted information from processed documents. - Real-time Insights: Gain valuable insights from extracted data in real-time, enabling faster decision-making.

    Building a Document AI Pipeline in Snowflake

    Building a Document AI Pipeline in Snowflake

    www.dhirubhai.net

  • 查看Intricity的组织主页

    1,978 位关注者

    Join us live this Thursday, right here on LinkedIn!

    查看Intricity的组织主页

    1,978 位关注者

    Discover how to leverage Snowflake's Document AI to transform complex documents into structured data. Explore model building, workflow automation, and integration for real-time data insights. KEY LEARNING POINTS: - Extract Valuable Data from Unstructured Documents: Leverage Snowflake’s Document AI to transform unstructured documents like invoices, contracts, or emails into structured data for easy analysis. - Streamlined Model Building: Use pre-trained models for zero-shot extraction or fine-tune for specific document types, all within the familiar Snowflake interface. - Automated Processing Pipelines: Design workflows to continuously process new documents as they arrive, ensuring your data stays up-to-date. - Seamless Integration: Integrate Document AI with other Snowflake features like Snowpipe and Tasks for a comprehensive data processing solution. - Interactive Visualization: Develop a user-friendly Streamlit application to display and verify the extracted information from processed documents. - Real-time Insights: Gain valuable insights from extracted data in real-time, enabling faster decision-making.

    Building a Document AI Pipeline in Snowflake

    Building a Document AI Pipeline in Snowflake

    www.dhirubhai.net

  • 查看Intricity的组织主页

    1,978 位关注者

    Unexpected productivity losses were discovered in a study involving over 100 developers using AI tools like Microsoft CoPilot. With precise monitoring over 14 development sprints, a significant group of developers experienced decreased efficiency with AI assistance. These findings raise important questions for anyone considering AI implementation. Whitepaper: https://lnkd.in/dhSz3i7W ness.com #generativeai #ai #aiproductivity #developers #datainnovation #data #informationtechnology #casestudy #zinnov #ness #intricity101

  • 查看Intricity的组织主页

    1,978 位关注者

    There's a smarter way to manage unstructured documents! Join us next week to learn how to create a Document AI pipeline in Snowflake, so you can extract useful information quickly and make better data-driven decisions. #DataInnovation #Snowflake #DocumentAI #DataManagement #AIinDataIntricity Rich Hathaway, Jared Hillam, Arkady Kleyner, Zoltan Mesko

    查看Intricity的组织主页

    1,978 位关注者

    Discover how to leverage Snowflake's Document AI to transform complex documents into structured data. Explore model building, workflow automation, and integration for real-time data insights. KEY LEARNING POINTS: - Extract Valuable Data from Unstructured Documents: Leverage Snowflake’s Document AI to transform unstructured documents like invoices, contracts, or emails into structured data for easy analysis. - Streamlined Model Building: Use pre-trained models for zero-shot extraction or fine-tune for specific document types, all within the familiar Snowflake interface. - Automated Processing Pipelines: Design workflows to continuously process new documents as they arrive, ensuring your data stays up-to-date. - Seamless Integration: Integrate Document AI with other Snowflake features like Snowpipe and Tasks for a comprehensive data processing solution. - Interactive Visualization: Develop a user-friendly Streamlit application to display and verify the extracted information from processed documents. - Real-time Insights: Gain valuable insights from extracted data in real-time, enabling faster decision-making.

    Building a Document AI Pipeline in Snowflake

    Building a Document AI Pipeline in Snowflake

    www.dhirubhai.net

  • 查看Intricity的组织主页

    1,978 位关注者

    On August 29th discover how to leverage Snowflake's Document AI to transform complex documents into structured data. Explore model building, workflow automation, and integration for real-time data insights.

    查看Intricity的组织主页

    1,978 位关注者

    Discover how to leverage Snowflake's Document AI to transform complex documents into structured data. Explore model building, workflow automation, and integration for real-time data insights. KEY LEARNING POINTS: - Extract Valuable Data from Unstructured Documents: Leverage Snowflake’s Document AI to transform unstructured documents like invoices, contracts, or emails into structured data for easy analysis. - Streamlined Model Building: Use pre-trained models for zero-shot extraction or fine-tune for specific document types, all within the familiar Snowflake interface. - Automated Processing Pipelines: Design workflows to continuously process new documents as they arrive, ensuring your data stays up-to-date. - Seamless Integration: Integrate Document AI with other Snowflake features like Snowpipe and Tasks for a comprehensive data processing solution. - Interactive Visualization: Develop a user-friendly Streamlit application to display and verify the extracted information from processed documents. - Real-time Insights: Gain valuable insights from extracted data in real-time, enabling faster decision-making.

    Building a Document AI Pipeline in Snowflake

    Building a Document AI Pipeline in Snowflake

    www.dhirubhai.net

关联主页

相似主页

查看职位