Getting to ROI: Case studies in operationalizing machine learning (sponsored by Dataiku)
AI and machine learning are top priorities for nearly every company. Despite this, "productionalizing" machine learning processes is an underappreciated problem, and as a result, businesses often find themselves failing to maximize ROI from their data initiatives. Will Nowak identifies best practices and common pitfalls in bringing machine learning and AI models to production.
| Talk Title | Getting to ROI: Case studies in operationalizing machine learning (sponsored by Dataiku) |
| Speakers | Will Nowak (Dataiku) |
| 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 | |
AI and machine learning are top priorities for nearly every company. Despite this, “productionalizing” machine learning processes is an underappreciated problem, and as a result, businesses often find themselves failing to maximize ROI from their data initiatives. Will Nowak identifies best practices and common pitfalls in bringing machine learning and AI models to production and details what the steps look like to get there.
