Trying to start an AI or ML project can be a daunting task—particularly at the scale of an enterprise organization. Focusing on security, execution, and responsibility is imperative to realizing a successful ML project without ballooning costs or taking on unnecessary risk.
Microsoft is committed to helping enterprise organizations realize their AI and ML goals at scale. Azure Machine Learning is built on our own best practices developed through years of experimentation to help you get started quickly and accelerate your time to market with all of the tools and controls that make it easier to keep costs low and protect against risk. To
learn more, download this paper and visit the Machine Learning practitioners page at http://aka.ms/data-scientists.