As machine learning and artificial intelligence (AI) become must-have capabilities in every industry, organizations are realizing they need to become AI-driven enterprises in order to remain competitive. However, many companies hesitate to implement AI solutions because of three major concerns: finding the expertise required to build high-quality AIs from machine learning models, a lack of trust in “black box” decision-making, and prohibitively long machine learning project timelines that affect time to market.
In this webinar, we discuss these concerns and provide practical, actionable solutions to each challenge.
In the on-demand webinar, you'll see:
- How becoming an AI-driven enterprise keeps your organization competitive in the age of big data
- The 3 key challenges companies face when implementing AI and how automated machine learning addresses these issues
- A demo of the DataRobot platform
Speaker
Colin Priest
VP, AI Strategy, DataRobot