AI Enablement
Organizations need a basic and core set of analytics that they can apply to a variety of problems and opportunities in an organization. Along with a core set of analytics, a rational and realistic plan should be in place to realize the value and benefits from the application of analytics.
What AI should we use and how?
When and Where should we apply AI enablement?
What AI should we use and how?
When and Where should we apply AI enablement?
For key insights about AI, a little background helps. There are 6 basic type of artificial intelligence components that require skills to implement an AI enablement:
- Gen AI
- AI Workflows
- AI Agents
- AI Platforms
- AI Methods
- AI Analytics
Understanding the synergy of these concepts as an integrated AI approach is a core value to any organization.
Developing an AI roadmap is the solution to AI enablement. The roadmap should include the following considerations:
- Develop an AI risk profile for your AI portfolio
- Grow your skills as you increase your AI use
- Avoid launching enterprise wide projects.
- Have a clear objective for each project
- Get good help and make sure there is knowledge transfer