Insurtech: A Practical Introduction for Managers培訓

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