AI Enterprise Planning

Artificial Intelligence    |    Intermediate
  • 12 videos | 1h 7m 49s
  • Includes Assessment
  • Earns a Badge
Likes 21 Likes 21
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 course
    contrast AI enterprise planning with IT enterprise planning and enterprise planning
    describe differences between tactical, strategic, and tactical-strategic planning
    describe the AI Maturity Model and apply it to conduct an AI Maturity Assessment of current and future states to perform a gap analysis
    describe a discovery map, its components, and its role in AI enterprise planning
    recognize 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 accelerators
    describe how AI accelerators reduce the complexity of projects while shortening their timelines
    recognize 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 dashboard
    describe the different types of AI applications, such as NLP, Analytics, Recommendation engine, etc.
    recognize how different business areas are benefiting from AI
    summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 2s
  • 3m 15s
    In this video, you will contrast AI enterprise planning with IT enterprise planning and enterprise planning. FREE ACCESS
  • Locked
    3.  Tactical vs. Strategic Planning Goals
    3m 13s
    After completing this video, you will be able to describe differences between short-term, long-term, and medium-term planning. FREE ACCESS
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    4.  AI Maturity Model and Assessment
    13m 47s
    Upon completion of this video, you will be able to describe the AI Maturity Model and apply it to conduct an AI Maturity Assessment of current and future states to perform a gap analysis. FREE ACCESS
  • Locked
    5.  Discovery Maps
    1m 19s
    Upon completion of this video, you will be able to describe a discovery map, its components, and its role in AI enterprise planning. FREE ACCESS
  • Locked
    6.  Business Value vs. Complexity Model
    4m 53s
    Upon completion of this video, you will be able to recognize the importance of complexity in enterprise AI planning. FREE ACCESS
  • Locked
    7.  AI Accelerators
    4m 20s
    After completing this video, you will be able to describe an AI accelerator and its effect on the AI development lifecycle, and identify some of the main AI accelerators. FREE ACCESS
  • Locked
    8.  Complexity Reduction
    9m 25s
    Upon completion of this video, you will be able to describe how AI accelerators reduce the complexity of projects and shorten their timelines. FREE ACCESS
  • Locked
    9.  AI Enterprise Roadmap
    5m 15s
    Upon completion of this video, you will be able to recognize 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 dashboard. FREE ACCESS
  • Locked
    10.  AI Application Examples by Type
    9m 14s
    Upon completion of this video, you will be able to describe the different types of AI applications, such as NLP, analytics, recommendation engines, etc. FREE ACCESS
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    11.  AI Application Examples by Business Area
    9m 4s
    Upon completion of this video, you will be able to recognize how different business areas are benefiting from artificial intelligence. FREE ACCESS
  • Locked
    12.  Course Summary
    2m 1s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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