According to a recent press release, “Delivering on its vision that ML engineering should be just as easy, fast and safe as modern software engineering when using DevOps techniques, Dotscience, the market leader in DevOps for Machine Learning (MLOps), today announced new partnerships with GitLab and Grafana Labs; deep integrations to include Scikit-learn, H2O.ai and TensorFlow; expanded multi-cloud support with Amazon Web Services (AWS) and Microsoft Azure; and a joint collaboration with global enterprises to develop an industry benchmark for helping enterprises get maximum ROI out of their AI initiatives. ‘MLOps is poised to dominate the enterprise AI conversation in 2020, as it will directly address the challenges enterprises face when looking to create business value with AI,’ said Luke Marsden, CEO and founder at Dotscience. ‘Through new partnerships, expanded multi-cloud support, and collaborations with MLOps pioneers at global organizations in the Fortune 500, we are setting the bar for MLOps best practices for building production ML pipelines today’.”
The release goes on, “AI-derived business value is forecast to reach $3.9 trillion in 2022. However, many businesses continue to struggle with deploying ML models into production, posing challenges around the value of AI in the enterprise. To address this challenge, Dotscience is collaborating with global enterprises to help them get the most from an early investment in AI. ‘Dotscience not only gives productivity benefits to data scientists but also gives those in governance roles assurance that the firm is doing all it can to mitigate risk from AI,’ said Charles Radclyffe, head of AI at Fidelity International.”
Read more at Business Wire.
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