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Giggso Digital Analytics

Giggso Digital Analytics

Written by: Mitesh Patesh
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Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs.


Giggso provides a single integrated platform to consolidate, engage and act on information from monitoring and observability ranging from data quality to bias and drifts.


Giggso helps AI ML Teams with incident management, automation, remediation, and self-healing. Our platform is web 3.0 and blockchain-enabled for helping Model Risk Management on audit and security compliance needs.


Giggso brings a knowledge warehouse from multiple messages and notifications to use with bots / ChatGPT, infusing vital Intelligence to make them smart and drive decisions from messages.


Benefits of using Giggso: 


Reduced OpEx costs of infra and better utility of resources

ROI and Cost management for AI

Reduced risk and compliance issues

Better customer experience

Easier management of Complex AI ML systems


To learn more about Giggso, visit us at: www.giggso.com

Copyright 2023 Mitesh Patesh
Economics Marketing Marketing & Sales
Episodes
  • Modelops Vs Other Ops
    Jul 11 2023

    Discover the key differences between Model Ops and ML Ops, implementation strategies, and which approach is right for your business.


    Read More: https://www.giggso.com/model-ops-vs-ml-ops/

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    10 mins
  • Modelops- An Introduction
    Jul 3 2023

    Model Ops, short for Model Operations, refers to the practices and processes involved in managing and deploying machine learning models in production. It is a relatively new field that focuses on the operational aspects of machine learning, aiming to bridge the gap between data science and IT operations

    Read More: https://www.giggso.com/model-ops-an-introduction/

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    8 mins
  • ML observability in Giggso
    Jun 15 2023

    Observability in ML is crucial because it helps data scientists, engineers, and operators gain visibility into the internal workings of complex ML systems and detect issues or anomalies that may affect their performance.


    Read More: https://www.giggso.com/ml-observability-in-giggso/


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    5 mins
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