AI & Applications for an Org

(C) Elephant Scale
February 4, 2025

Course Description

  • This course introduces Artificial Intelligence and its applications in the industry for specific use cases.
  • In this case, we concentrate specifically on Sales in Health insurance.

Audience

  • Managers and Execs

Skill Level

  • Introductory for all

Duration

  • Two days

Prerequisites

  • None

Format

  • Lectures and demos (50% – 50%)

Lab environment

  • Browser

Topics

  • Day 1

    • AI evolution and vocab
    • AI use cases
    • Industry use cases
    • Industry case studies

  • Day 2

    • Use cases, overview
    • Sales use cases and cases studies
    • How to adopt AI in the enterprise
    • Wrap up and next steps

Detailed Outline

1. Introduction to AI in Sales

  • Definition and Scope of AI
  • Importance of AI in Sales
  • Current Trends and Innovations

2. AI Technologies Relevant to Sales

  • Machine Learning (ML) and Predictive Analytics
  • Natural Language Processing (NLP) for Claims Processing
  • Computer Vision in Document Verification
  • AI-Powered Chatbots and Virtual Assistants

3. Applications of AI in Sales

  • Gen BI – the chat GPT of analytics
  • Customer Experience and Personalization
  • Risk Assessment and Underwriting
  • Coding of Client Contracts

4. Benefits and Challenges of AI Adoption

  • Improved Efficiency and Cost Savings
  • Enhanced Decision-Making Capabilities
  • Challenges: Data Privacy, Bias, and Ethical Concerns

5. Data-Driven Decision Making

  • Role of Big Data in Sales
  • Data Integration and Quality Management
  • Building a Data-Driven Culture

6. Regulatory and Ethical Considerations

  • Compliance with Health and Data Privacy Regulations
  • Ethical Use of AI in Decision-Making
  • Transparency and Accountability

7. Building AI-Ready Leadership

  • Understanding AI Capabilities and Limitations
  • Fostering Innovation and Collaboration
  • Leadership Strategies for AI Implementation

8. Case Studies and Success Stories

  • Real-World Examples of AI in Health Insurance
  • Lessons Learned from Industry Leaders

9. Planning for AI Implementation

  • Identifying High-Impact Opportunities
  • Aligning AI Strategies with Business Goals
  • Roadmap for AI Integration

10. Workshop and Interactive Session

  • Hands-On Experience with AI Tools
  • Q&A with AI Experts
  • Group Discussions and Brainstorming

11. Conclusion and Next Steps

  • Recap of Key Takeaways
  • Strategic Recommendations for Executives
  • Resources for Continuous Learning