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March 2021
Developing Mature Machine Learning Operations
Hi Paul

Welcome to the March Cirrostratus Group newsletter.

Many businesses have developed Machine Learning solutions but lasting business value, and ROI, come from getting a Machine Learning solution to the next stage: validated, scaled, deployed to production, monitored and optimized after deployment. It is in these stages of the lifecycle most companies have difficulty and this provides an opportunity for SaaS software businesses to help solve these problems in a variety of ways through their products. Read below about the challenges of developing a mature Machine Learning lifecycle and about some of the tools that can help solve them.

Paul Ressler
The Cirrostratus Group 
Towards a More Mature Machine Learning Lifecycle

This month, my business colleague and friend, Ranjan Bhattacharya wrote a guest blog post on the Cirrostratus Group blog. Ranjan is a senior technology leader from Boston who has built and led technology teams to build innovative SaaS solutions, several of them incorporating Data Science/Machine Learning.


SaaS software providers and their customers face many challenges in developing mature and maintainable Machine Learning solutions and many of these operational challenges are different than deploying software. Ranjan's blog post explores these challenges including scaling, governance, testing and monitoring. Future blog posts will explore these topics in more detail.

Machine Learning Platforms & Tools
Gartner has just released their Magic Quadrant for Data Science and Machine Learning Platforms. The above blog post talked about the process for the Machine Learning lifecycle and this Magic Quadrant is about the tools for managing the Machine Learning Lifecycle. These tools include platforms and software for a full range of expertise, from sophisticated developers to citizen data scientists. Some of the tools are appropriate, particularly the cloud based tools, for incorporating into your product. You can get this Magic Quadrant free at Dataiku, one of the companies in the leaders quadrant. This market is moving quickly and this is a great way to get an understanding of the major providers.
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