A data-driven approach to building AI-powered bots and virtual agents
For developers building a bot or virtual agent, the critical question is which bot to build and why? Today, most cant answer it without a manual intent discovery process, largely based on guesswork, that uncovers only a percentage of possible opportunities. Ofer Ronen demonstrates techniques, based on machine learning, for faster, more efficient intent discovery.
| Talk Title | A data-driven approach to building AI-powered bots and virtual agents |
| Speakers | Ofer Ronen (Chatbase) |
| Conference | Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | San Francisco, California |
| Date | September 5-7, 2018 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
For developers building a bot or virtual agent, the critical question is which bot to build and why? Today, most can’t answer it without a manual intent discovery process, largely based on guesswork, that uncovers only a percentage of possible opportunities. Ofer Ronen demonstrates techniques, based on machine learning, for faster, more efficient intent discovery.
