The whole of AI is greater than the sum of its parts, but 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—chaining together AI technologies to build smart end-to-end processes. Katie Taylor explores use cases within key industries to uncover how companies are succeeding with AI through a layered technology stack.
Katherine Taylor is a senior data scientist in the Global Technology Practice for Artificial Intelligence and Machine Learning at SAS. She researches and develops AI applications in industry that are practical and understandable and deliver tangible benefits; in this capacity, she works closely with SAS research and development and customers to connect the technology with the market and the market with technical understanding. Her background is in quantitative analysis, primarily in energy and banking.
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