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 this session, 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