Course Code: deepseek0417
Duration: 7 hours
Course Outline:

[Outline]DeepSeekTraining

Morning Session: 9:00 - 11:30

9:00 - 9:20 | Opening & Introduction to Training Objectives

  • Content:
    • Training objectives, course structure overview
    • Warm-up interaction:

“What do you think AI will change in our work?”

  • Course framework introduction: globalAItrends, insurance industry applications,DeepSeekapplication examples

9:20 - 9:50 | Module One: Basics of Artificial Intelligence & Trend Insights

  • Content:
    • What is artificial intelligence, machine learning, deep learning?
    • Introduction to generativeAI(such asChatGPT)
    • GlobalAIdevelopment trends and policy directions
      • China:AIGCand large model regulation
      • EU:AIAct
      • US: Strategic investment and industry implementation
    • Tool demonstration:
      • Introduction to ChatGPT, Grok,Claude, DeepSeek and other tools
      • Demo: Input insurance clause content using DeepSeek to showcase its automatic summarization and refinement capabilities

9:50 - 10:30 | Module Two:AIDevelopment Trends & Industry Impact

  • Content:
    • Evolution of artificial intelligence: from rule engines to the era of large models
    • Global rise of AIand its impact:ChatGPT, DeepSeek etc.
    • AIfrom the "technical frontier" to a "business infrastructure"
    • DeepSeekIntroduction and Features:
      • Especially suitable for applications in finance, insurance, etc.
      • DeepSeekFunctions: automatic report generation, document review, customer Q&A, knowledge graph construction
    • Case Presentation:
      • DeepSeekAnalysis and summarization of insurance clauses

10:30 - 11:10 | Module Three:AIspecific application scenarios in the insurance industry (with DeepSeek examples)

  • Content:
    • Introduction to key application scenarios of AIin the insurance industry (smart customer service, underwriting, claims processing, precise marketing, internal knowledge management)
    • Combining DeepSeek application examples:
      • Using DeepSeek to improve the efficiency of smart customer service and help answer common questions
      • Using DeepSeekfor automatic document parsing, optimizing claims processing

11:10 - 11:30 | Discussion and Q&A

  • Interactive Discussion:
    • How can departments identify business processes suitable for applying AI?
    • Management concerns and challenges regarding the implementation of AI(data security, technical training, employee adaptation)

Lunch Break: 11:30 - 13:30

Afternoon Session: 13:30 - 17:00

13:30 - 14:10 | Module Four:AIApplications in Agricultural Mutual Insurance

  • Content:
    • Explaining the application of AIin agricultural mutual insurance scenarios
    • Specific application scenarios:
      • Automatic underwriting:AIassesses risks based on farmer data and historical records
      • Risk prediction:AIpredicts natural disaster risks by combining meteorological and geographical data
      • DeepSeekDemonstration:
        • UsingDeepSeekto automatically interpret agricultural mutual insurance contracts and extract risk points

14:10 - 14:50 | Module Five:AIPromoting Strategic Transformation in Insurance Management

  • Content:
    • How can management identify business units that can quickly pilot AI(customer service, risk control, compliance, etc.)?
    • How to connect data silos and form a data asset strategy?
    • How to build an AIgovernance framework (data security, transparency, responsibility allocation, etc.)?
    • How to avoid AIcausing anxiety among employees and promote "human-machine collaboration"?

14:50 - 15:30 | Global Insurance Companies' AITransformation Cases

  • Content:
    • Lemonade (US): 90-second underwriting, 3-minute claims processing, AIdrives the entire process
    • Ping An of China: Smart risk control and customer insight, AIfull-chain support
    • Zurich Insurance (Switzerland): AI fraud detection in car insurance claims processing
    • WeatherFarm (US): Predicting the impact of climate change on agricultural production using AI
    • China Agricultural Mutual Insurance: AIprecisely calculates crop losses and optimizes claims processing

15:30 - 16:10 | Module Six: Brainstorming: How can our company use AI?

  • Interaction:
    • Group discussions to design AIapplication scenarios based on the business characteristics of Sunshine Mutual Insurance
    • Each group presents its designed scenario and discusses the feasibility and potential value of AItechnology implementation
      • Which departments can pilot first?
      • Which stages of the business process are suitable for AIintervention?

16:10 - 16:50 | Module Seven:AIStrategic Thinking and Leadership Development

  • Content:
    • The core role of managers: from "AItechnology decision-maker" to "AIstrategic leader"
    • How to evaluate the success criteria of AIprojects (customer satisfaction, operational efficiency improvement, etc.)?
    • How to cultivate an AItalent pool and promote cross-departmental collaboration?

16:50 - 17:00 | Closing Remarks and Action Plan

  • Content:
    • Summarize the training content, review the future trends of AI
    • Provide a framework for implementing an AIaction plan: setting short-term and long-term goals
    • Interactive Session:

“What are the goals for AIprojects that Sunshine Mutual Insurance hopes to achieve in the next six months?”

Additional Content:

  • Materials Package: Providing "Global AI Development Trends Report", DeepSeek Application Manual, industry case studies
  • Recommended further learning resources: suggested books, websites, online courses, etc.