The sum of AI’s parts is greater than the whole. Hear about the importance of chaining together AI technologies to build smart end-to-end processes. Achieving the best analytics edge often requires a mixture of technologies – from computer vision and natural language processing to machine learning and deep learning algorithms. This talk will explore use cases within key industries uncovering how AI success is being achieved through a layered technology stack.
Katherine Taylor is a senior data scientist in the SAS Global Technology Practice for Artificial Intelligence and Machine Learning. Her background consists of doing quantitative analysis, primarily in energy and banking. Her current role involves researching and developing applications of AI in industry that are practical, understandable, and deliver tangible benefits. She works closely with SAS Research and Development and customers to connect the technology with the market – and the market with technical understanding.
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