1、培訓過程中，如有部分內容理解不透或消化不好，可免費在以后培訓班中重聽；
       2、培訓結束后,授課老師留給學員聯系方式,保障培訓效果,免費提供課后技術支持。
       3、培訓合格學員可享受免費推薦就業機會。☆合格學員免費頒發相關工程師等資格證書，提升職業資質。專注高端技術培訓15年，端海學員的能力得到大家的認同，受到用人單位的廣泛贊譽，端海的證書受到廣泛認可。

• 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