Abstract
Emerging as game-changing technologies, artificial intelligence (AI) and machine learning (ML) have the power to upend a number of industries and inspire creativity. This study offers an extensive analysis of how AI and ML affect innovation. It looks at how various facets of innovation, such as business models, process optimisation, and product development, have been impacted by these technologies. The framework known as ML.NET was created by Microsoft ten years ago with the goal of easing the integration of machine learning models into sizable software programmes. This article presents the framework. We outline its design as well as the application requirements that influenced it. With regard to ML.NET, we specifically describe DataView, the central data abstraction that enables it to reliably and quickly capture whole prediction pipelines throughout the training and inference lifespan. After comparing ML.NET's performance against that of more recent arrivals, we conclude the research with a surprisingly positive analysis and a discussion of key lessons learned.
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