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MLOPS - Operationalize Your Machine Learning Models (workshops): 1-Hour Assessment
The goal is to enable you to operationalize your ML Model Management (MLOPS) to generate higher ROI on Data Science investments.
During a 1-hour assessment we will discuss with you the best approach to organize a series of MLOps workshops. Typical duration of a workshop is 10 days.
The goal is to enable you to operationalize your ML Model Management (MLOPS) to generate higher ROI on Data Science investments and to increase the Business User’s confidence in analytical insights through a series of workshops. The outcome of these workshops are one or more different architectural blueprints, which will be developed via a POC, pilot or first project iteration. Hereby SBI will develop an actionable plan to operationalize your ML models.
SBI Consulting, part of the Cronos Group, is a Belgian business and data analytics company with 16+ years of experience with the modernization of BI and analytical applications. We are a trusted SAS and Microsoft Partner, and are part of Micronos, the ecosystem of Microsoft competences within De Cronos Group.
In 2022 and 2023 Micronos received the “Microsoft Country Partner of the Year” award. Winning twice in row has proven to be very exceptional.
NL: https://cronos-public-services.be/portfolio/de-cronos-groep-wint-voor-het-tweede-jaar-op-rij-de-belgium-partner-of-the-year-award-van-microsoft/
FR: https://cronos-public-services.be/fr/portfolio/de-cronos-groep-remporte-le-prix-belgium-partner-of-the-year-de-microsoft-pour-la-deuxieme-annee-consecutive/
PROBLEM STATEMENT
Enterprises that have seen initial success with Machine Learning often face challenges as they develop more models and want to replicate the success across other business functions. Scaling up ML across an enterprise needs to address collaboration, reusability, model management, monitoring, tuning and deployment.
KEY CHALLENGES
AZURE AS PART OF YOUR SOLUTION
Implementing MLOPS in real-world production environments has unique challenges that must be overcome. Azure is here to support MLOPS patterns and to provide orchestration services for effectively managing the machine learning lifecycle. Azure services are the foundation for our MLOPS solution.
OUR METHODOLOGY
Based on best practices with customers we follow a phased approach:
and we make use of following key components:
KEY DELIVERABLES
VALUES DELIVERED
Building ML applications is a team sport, played by different personas. SBI will guide you building your perfect team with the perfect strategy!