Being prepared to not only implement an AI solution but to implement it well is difficult. All of these complications are compounded when working at a large organization. First and foremost, AI is not well suited to solve all business problems, and there is immense value in recognizing this fact before going too far down a temporal and budgetary hole. Furthermore, every step in the AI project management process brings with it unique challenges and considerations. Finally, AI is fraught with ethical, social, and legal implications.
Alex Siegman and Kabir Seth walk you through the steps necessary to appropriately leverage AI in a large organization. This includes ways to identify business opportunities that lend themselves to AI as well as best practices on everything from data intake and manipulation to model selection, output analysis, development, and deployment, all while navigating a complex organizational structure.
Alex Siegman is an AI technical program manager at Dow Jones and colead of the Dow Jones AI Center of Excellence. Alex’s expertise includes successfully managing projects, products, and people as well as studying and perfecting the constants—those skills and techniques necessary to design, develop, and deploy revenue-driving technologies across place and time.
Kabir Seth is the director of operations for the Wall Street Journal product, design and engineering lead, and the colead of the AI Center of Excellence at Dow Jones. He has worked in a variety of industries including apparel, travel, and children’s media. He spends his free time with his family, watching movies, playing with Legos, and writing fiction.
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