Navigating the Model Lifecycle & Ensuring Reliable Monitoring

A comprehensive compass to Build, Deploy, & Manage Data Science Models with best practices in Governance and Automation

Journey from Development to Simplified Consumption

    What is 3 + 6 ?

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    Do you want to Build Vs Buy?

    Opting to buy means leveraging off-the-shelf products and integrating them with existing infrastructure through customization.

    Building involves using open-source frameworks and creating a tailored solution that fits seamlessly with the current setup.

    An approach combining and ensuring a custom-built solution that meets unique organizational needs using selected components from the market.

    Challenges

    01

    Using an off-the-shelf model management solution.

    02

    Compatibility issues with legacy infrastructure, long-term licensing agreements tied to part solutions, and limited customization at the model level.

    03

    Cumbersome data pipeline implementations.

    Our Approach

    • Empowered the enterprise analytics team with an effective and comprehensive tool to monitor the model performance and understand the reasons behind any deviations, giving them greater control and confidence in their decision-making.
    • Offered the entire solution framework as a plug-and-play module, ensuring the client's adaptability and reusability for other binary classification models.
    • Incorporated flexible levers into the solution design for clients to play around with the boundaries and benchmarks when using this monitoring framework for other models.
    • Set the monitoring solutions to identify short-term trends localized to geographic areas to clarify zero change in the model despite the model performance drops.
    • Ensured every model persists in contemporary, delivering business value from each model.

    Business Impact

    • Structured and Managed code pipeline with up to 30% reduction in code run time.
    • Our solution doesn't just reduce data scientist effort by more than 70%; it also proactively monitors variable and model performance and re-trains models to avoid any negative business impact.

    Why Tiger Analytics

    We provide certainty by solving your toughest challenges.

    Our problem-solving approach involves not just finding answers but also asking more questions until we know what will determine success and how to get there. We excel at helping you drive the right course of action, dispel ambiguity, and move ahead with confidence by combining the best of AI and analytics.

    Awards & Recognitions

    Ranked among Financial Times High Growth Companies Asia Pacific
    Ranked among Financial Times The Americas’ Fastest Growing Companies 2024
    Vaishnavi Kandala is recognized as 40 under 40 Data Scientist in India
    Leader in AIM's PeMa Quadrant for Top MLOps Service Providers

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