Artificial intelligence techniques, which depend on massive amounts of data and powerful infrastructure, are likely to become widely used within large companies in the next five years. Understanding the demands of these techniques is essential to planning investments in software, computing resources, and personnel. Edd Wilder-James outlines a road map for executives who are beginning to consider their strategies for implementing artificial intelligence in their critical processes.
Edd Wilder-James is a strategist at Google, where he is helping build a strong and vital open source community around TensorFlow. A technology analyst, writer, and entrepreneur based in California, Edd previously helped transform businesses with data as vice president of strategy for Silicon Valley Data Science. Formerly Edd Dumbill, Edd was the founding program chair for the O’Reilly Strata Data Conference and chaired the Open Source Software Conference for six years. He was also the founding editor of the peer-reviewed journal Big Data. A startup veteran, Edd was the founder and creator of the Expectnation conference management system and a cofounder of the Pharmalicensing online intellectual property exchange. An advocate and contributor to open source software, Edd has contributed to various projects such as Debian and GNOME and created the DOAP vocabulary for describing software projects. Edd has written four books, including Learning Rails (O’Reilly).
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