AI Enterprise Planning
Artificial Intelligence
| Intermediate
- 12 Videos | 1h 7m 49s
- Includes Assessment
- Earns a Badge
In this course, you'll be introduced to the concepts, methodologies, and tools required for effectively and efficiently incorporating AI into your IT enterprise planning. You'll look at enterprise planning from an AI perspective, and view projects in tactical/strategic and current, intermediate, or future state contexts. You'll explore how to use an AI Maturity Model to conduct an AI Maturity Assessment of the current and future states of AI planning, and how to conduct a gap analysis between those states. Next, you'll learn about the components of a discovery map, project complexity, and a variety of graphs and tables that enable you to handle complexity. You'll see how complexity can be significantly reduced using AI accelerators and how they affect specific phases of the AI development lifecycle. You'll move on to examine how to create an AI enterprise roadmap using all of the artifacts just described, plus a KPIs/Value Metrics table, and how both of these can be used as inputs to an analytics dashboard. Finally, you'll explore numerous examples of AI applications of different types in diverse business areas.
WHAT YOU WILL LEARN
-
discover the key concepts covered in this coursecontrast AI enterprise planning with IT enterprise planning and enterprise planningdescribe differences between tactical, strategic, and tactical-strategic planningdescribe the AI Maturity Model and apply it to conduct an AI Maturity Assessment of current and future states to perform a gap analysisdescribe a discovery map, its components, and its role in AI enterprise planningrecognize the importance of complexity in AI enterprise planning
-
describe an AI accelerator and its effect on the AI development lifecycle, and identify some of the main AI acceleratorsdescribe how AI accelerators reduce the complexity of projects while shortening their timelinesrecognize how to create an AI enterprise roadmap using all previous artifacts plus a KPIs/Value Metrics table, and how both of these are used to feed an analytics dashboarddescribe the different types of AI applications, such as NLP, Analytics, Recommendation engine, etc.recognize how different business areas are benefiting from AIsummarize the key concepts covered in this course
IN THIS COURSE
-
1.Course Overview2m 2sUP NEXT
-
2.What Is AI Enterprise Planning?3m 15s
-
3.Tactical vs. Strategic Planning Goals3m 13s
-
4.AI Maturity Model and Assessment13m 47s
-
5.Discovery Maps1m 19s
-
6.Business Value vs. Complexity Model4m 53s
-
7.AI Accelerators4m 20s
-
8.Complexity Reduction9m 25s
-
9.AI Enterprise Roadmap5m 15s
-
10.AI Application Examples by Type9m 14s
-
11.AI Application Examples by Business Area9m 4s
-
12.Course Summary2m 1s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.