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Insurtech: A Practical Introduction for Managers培訓

 
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課程大綱
 
  • Introduction to Insurtech
  • Impact on the industry
    Winners and losers
    Assessing the current state of your company
  • Technical innovations applied to the insurance sector
  • Big Data, Blockchain, AI, Robotics, IoT, JIT, Security
    Mapping your company's current state and determining where you should be six months from now
  • Case study and exercise:
  • Carrying out a readiness assessment
    Big Data: putting your biggest asset to work
  • Basic concepts and applications
    Implementing a Big Data strategy
    Building the team
    Leveraging your assets and building from there
    Blockchain: putting the digital ledger to work for your organization
  • Demystifying the Blockchain
    Lessons from the financial sector
    Implementing a Blockchain strategy
    Building the team
    Mapping your transactions to the blockchain
    AI: Introduction to artificial intelligence
  • Machine learning, natural language processing (text and speech), computer vision and robotics
    The role of corporate and open source contributions to AI research and development
    Tapping into available resources
    Robotics and automation: hiring robots to work for you
  • Automation vs Robotic Process Automation (RPA)
    Implementing an RPA strategy
    Outsourcing vs building
    IoT: Creating new business models based on IoT-enabled platforms and ecosystems
  • Five ways IoT will transform the insurance industry
    Remodeling insurance policies to reflect the health and state of people and things
    Building the team
    JIT: Putting Just-In-Time marketing to work in insurance
  • JIT lessons from the manufacturing to creative services sector
    Implementing the processes and tools for JIT
    Building the team
    Online security: security for insurance
  • Revisiting traditional definitions of cyber-security
    Implementing a compliance plan and training the business leaders
    Building the team
    Bringing it all together
  • No "one-size-fits-all" and no "all-or-nothing"
    Taking the first step
    Communicating hard things
  • Conversations with managers and leaders
    Conversations with techies and data crunchers
    Closing remarks
 

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