The meeting grounds of AI and machine learning (ML) is intelligent automation, and it stands to drastically reduce repetitive, manual tasks and allow humans to spend their efforts on data science and analytics.

As with most advanced technologies, implementation brings its own challenges, some of the biggest being:

•     Lack of employee skills and resources to execute effectively
•     Difficulty aligning strategy and execution plans
•     Incorporating advanced analytics and AI into workflows

Read this white paper to learn what intelligent automation can do for your organization and how to overcome its many challenges.