Leveraging AI in a large organization
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.
| Talk Title | Leveraging AI in a large organization |
| Speakers | Alex Siegman (Dow Jones), Kabir Seth (Wall Street Journal) |
| Conference | O’Reilly Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | New York, New York |
| Date | April 16-18, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
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.
