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    How Medtronic Uses Snowflake Cortex AI

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    Introduction

    In the fast-paced world of life sciences, managing contracts efficiently is critical. Medtronic, the largest life sciences company globally, faces a continuous influx of requests that require thorough examination of contracts housed within a contract management system. Traditionally, the inability to manually sift through these documents has led to the common response: "we cannot do it." However, this status quo was not acceptable for Medtronic's team, who recognized an opportunity to innovate.

    In an ambitious endeavor, the team set out to find a solution that would not only expedite the processing of contract requests but also enhance the overall efficiency of their operations. By leveraging Snowflake's Cortex AI models—designed for generative AI applications—they aimed to automate and streamline the retrieval of relevant contract information.

    To complement the advanced AI capabilities, the team developed a user-friendly chat interface, making it easier for staff to interact with the system and obtain the required information. The results were remarkable. On average, every request processed through this innovative system saves approximately 2,000 hours, allowing Medtronic to allocate its resources more strategically and respond to inquiries in a timely manner.

    In conclusion, the integration of Snowflake Cortex AI into Medtronic's contract management processes has not only enhanced efficiency but has also empowered the team to handle requests that were previously deemed unmanageable. For organizations struggling with similar challenges, the adoption of AI-driven solutions may prove invaluable—Medtronic's experience serves as a compelling example.


    Keywords

    • Medtronic
    • Snowflake Cortex AI
    • generative AI
    • contract management
    • efficiency
    • automation
    • resource allocation

    FAQ

    Q1: What problem was Medtronic facing with contract management?
    A: Medtronic was overwhelmed with requests requiring the manual examination of contracts, which was time-consuming and often led to the inability to fulfill requests.

    Q2: What is Snowflake Cortex AI?
    A: Snowflake Cortex AI is a suite of AI models developed to facilitate generative AI applications, enabling organizations to automate and streamline data retrieval.

    Q3: How does the chat interface work?
    A: The chat interface allows users to interact with the AI system intuitively, simplifying the process of obtaining relevant contract information quickly and efficiently.

    Q4: How much time does Medtronic save on average per request?
    A: Medtronic saves about 2,000 hours on every request processed through the new system.

    Q5: What recommendations can be given to other organizations facing similar challenges?
    A: Organizations struggling with contract management inefficiencies should consider adopting AI-driven solutions to enhance their operational efficiency and improve response times.

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