Developing an AI/ML Data Strategy: Aspects of a Robust AI Strategy

Data analytics 2024    |    Intermediate
  • 14 videos | 48m 38s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 2 users Rating 5.0 of 2 users (2)
In today's artificial intelligence (AI)-driven landscape, it's vital to recognize the ethical dimensions of AI implementation. This course covers essential aspects of AI strategy, including defining its components, understanding the leadership role, and conducting readiness assessments. You will also explore implementation challenges, use case identification, alignment with existing technology, and setting success metrics. You will discover how to leverage agile methodologies and business model impacts. Finally, you will learn to analyze case studies, clarify managerial responsibilities, and promote cross-functional collaboration in AI initiatives.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Define the key components of a robust artificial intelligence (ai) strategy, from vision to execution
    Outline the role of executive leadership in shaping and championing ai strategies
    Outline the importance of conducting a comprehensive ai readiness assessment
    Identify potential risks and challenges in ai strategy implementation
    Outline the process of identifying high-potential ai use cases within the organization
    Identify the significance of aligning ai strategies with existing technology initiatives
  • Recognize methods for defining clear success metrics for ai projects
    Outline the role of agile methodologies in adaptive ai strategy development
    Identify the potential impacts of ai on business models and revenue streams
    Identify case studies of organizations successfully implementing ai strategies
    Outline the managerial responsibilities in communicating ai strategies to stakeholders
    Formulate strategies for fostering cross-functional collaboration in ai initiatives
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 51s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 4m 30s
    After completing this video, you will be able to define the key components of a robust artificial intelligence (AI) strategy, from vision to execution. FREE ACCESS
  • Locked
    3.  Role of Executive Leadership in AI Adoption
    4m 34s
    Upon completion of this video, you will be able to outline the role of executive leadership in shaping and championing AI strategies. FREE ACCESS
  • Locked
    4.  AI Readiness Assessment
    2m 38s
    After completing this video, you will be able to outline the importance of conducting a comprehensive AI readiness assessment. FREE ACCESS
  • Locked
    5.  Challenges in AI Strategy Implementation
    3m 42s
    Upon completion of this video, you will be able to Identify potential risks and challenges in AI strategy implementation. FREE ACCESS
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    6.  High-potential AI Use Cases
    5m 57s
    After completing this video, you will be able to outline the process of identifying high-potential AI use cases within the organization. FREE ACCESS
  • Locked
    7.  Aligning AI strategies with existing technology
    4m 14s
    Upon completion of this video, you will be able to identify the significance of aligning AI strategies with existing technology initiatives. FREE ACCESS
  • Locked
    8.  Define Success for AI Projects
    4m 34s
    After completing this video, you will be able to recognize methods for defining clear success metrics for AI projects. FREE ACCESS
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    9.  Agile Methodologies
    3m 28s
    Upon completion of this video, you will be able to outline the role of agile methodologies in adaptive AI strategy development. FREE ACCESS
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    10.  Impact of AI on Business Models
    4m 23s
    After completing this video, you will be able to identify the potential impacts of AI on business models and revenue streams. FREE ACCESS
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    11.  AI Implementation Case Studies
    3m 38s
    Upon completion of this video, you will be able to identify case studies of organizations successfully implementing AI strategies. FREE ACCESS
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    12.  Role of the Manager in AI Strategy Implementation
    3m 6s
    After completing this video, you will be able to outline the managerial responsibilities in communicating AI strategies to stakeholders. FREE ACCESS
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    13.  Cross-functional Collaboration Strategies in AI
    2m 23s
    Upon completion of this video, you will be able to formulate strategies for fostering cross-functional collaboration in AI initiatives. FREE ACCESS
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    14.  Course Summary
    40s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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