Blog series: becoming an MLOps expert (2)
In my first blog, we introduced the concept of MLOps (Machine Learning Operations). Now, we will go through the benefits of applying MLOps – which are considerable.       Using MLOps to unlock much faster ML project delivery MLOps reduces overall project times in several ways: Handovers are quicker. Having a documented process makes it easier for…
Blog series: Becoming an MLOps Expert (1)
Adoption of Artificial Intelligence (AI) is increasing year-on-year. Within this, research shows that Machine Learning (ML) applications and platforms account for almost two-thirds of all AI investment¹. For those with the skills, tools and understanding, ML represents a significant market advantage that will increase over time, as leaders find new applications for the technology, propelling…
MLOps: the Kainos approach to bringing DevOps productivity to your Machine Learning teams
Our MLOps one-pager explains how you can move faster by transforming the operational gains from data science by adopting ML. Read the one-pager to find out more. To find out more about our MLOps offering and how we’re helping enterprise customers realise their ambitions click here.
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