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Effectively Leading Digital Transformation

سرفصل های دوره

Organizations must radically transform their processes as new tools and systems continue to roll out. What is driving this revolution? How can you help your organization prepare? How can YOU prepare? In this course, senior-level learning and development professional Phil Gold highlights how you can lead your business to success as you implement more digital transformations of workflows and systems. Learn about the background of business transformation, from definitions to working online to the evolution of automation and AI. Go over potential blockers to a successful transformation and how you can overcome them. Discover techniques to manage your digital transformation, and explore ways you can use AI effectively in the workplace. Plus, learn the steps you need to take beyond the launch to keep your organization’s digital transformation moving in the right direction.


01 - Introduction
  • 01 - Being a leader in business transformation
  • 02 - Who is this course for

  • 02 - 1. Background for Business Transformation
  • 01 - Living in an age of disruption
  • 02 - Defining modern digital and business transformation
  • 03 - Technology as a commodity
  • 04 - Working online
  • 05 - Expanding data through the Internet of Things
  • 06 - Evolution of automation and AI

  • 03 - 2. Blockers to Successful Transformation
  • 01 - Not understanding the problem
  • 02 - Not understanding the need
  • 03 - Not understanding the scope
  • 04 - Not understanding the appetite

  • 04 - 3. Preparing for Your Transformation
  • 01 - Identifying whats broken
  • 02 - Mitigating the risk of information accumulation
  • 03 - Streamlining and automating processes
  • 04 - Engaging employees and growing skills
  • 05 - Leveraging customer networks
  • 06 - Innovating through experimentation

  • 05 - 4. AI in the Workplace
  • 01 - Defining AI
  • 02 - Using AI to analyze and project
  • 03 - Using AI to develop solutions
  • 04 - Protecting security with AI
  • 05 - Possible AI problems for business
  • 06 - Developing ethical AI policies

  • 06 - 5. Beyond the Launch
  • 01 - Explaining in plain language
  • 02 - Working through resistance
  • 03 - Modeling behaviors
  • 04 - Keeping communication channels open
  • 05 - Developing a learning culture

  • 07 - Conclusion
  • 01 - Next steps
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