Release Notes

7 Cognitive Automation
For AI and Cognitive Automation, however, there’s several new factors at play and all need to be dealt with
simultaneously to achieve the dividends of a successful rollout:
• Data Science is a new skill set that most likely doesn’t exist in many functional teams.
• Data is the elemental resource of AI. The capture, cleanliness, and ongoing health of data demands
constant attention and changes in business processes.
• A noteworthy challenge of AI-inspired Cognitive Automation is the proprietary nature of the data,
processes, and domain tasks. Don’t expect there to be many general-purpose AI tools available to you on
this journey. Be prepared to develop proprietary, or to customize pre-existing, solutions.