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|Publication Date:||2Q 2020|
At the Microsoft Build 2020 conference, Microsoft introduced and rolled out an array of new technologies designed to put artificial intelligence (AI) into action. The most impactful news revolved around the idea of responsible AI. To that end, Microsoft delivered a set of open-source frameworks and toolkits for Azure Machine Learning. These toolkits represent an interesting go-to-market approach, encouraging active participation spanning both scientific research and open-source communities. They also point to a big issue that software alone cannot address: the problem of building and maintaining trust in AI outcomes demands active human participation.
Key Questions Addressed:
- What are the three new Microsoft Azure Machine Learning tools, and what do they mean for the broader AI community?
- How is Microsoft leveraging open-source communities and academic research to build these enterprise-class tools?
- Which key markets is Microsoft targeting with these tools?
- How will these technologies affect the way enterprises build machine learning outcomes?
Who Needs This Report?
- Public cloud service providers
- Private and managed cloud data center solutions providers
- Enterprises building AI and ML solutions
- MLOps solutions vendors and service providers
- Investor community
Table of Contents
– Understanding is the first step toward wisdom
– Shining a light on the inner workings of ML
– A new approach to proprietary software?