Creating Your AI/BI Genie Space for Business Data Analytics

Overview

Discover how to empower business teams with AI/BI Genie - a conversational interface that enables natural language data exploration and self-service analytics for instant insights.

Syllabus

• Introduction to AI/BI Genie
Overview of AI/BI Genie and its capabilities
Benefits of using conversational interfaces for business analytics
• Fundamentals of Conversational AI
Basics of natural language processing (NLP)
Understanding intents and entities
Designing conversational flows
• Building Your AI/BI Genie Space
Setting up the environment for AI/BI Genie
Integrating with business data sources
Configuring permissions and data access
• Designing Natural Language Queries
Crafting effective queries for data exploration
Techniques for improved query understanding
Handling ambiguous queries
• Self-Service Analytics and Data Democratization
Principles of self-service analytics
Empowering business users with AI insights
Use cases for democratized data access
• Visualizing Insights
Best practices for data visualization
Integrating visualizations in conversational interfaces
Tools and technologies for creating interactive dashboards
• Ensuring Data Security and Compliance
Data governance in conversational analytics
Privacy and compliance considerations
Implementing security protocols
• Evaluating and Improving AI/BI Genie
Metrics for measuring performance and usability
Continuous improvement strategies
Gathering user feedback and iteration
• Case Studies and Real-World Applications
Successful implementations of AI/BI Genie
Lessons learned from industry applications
Future trends in conversational analytics
• Conclusion and Next Steps
Recap of key concepts and skills
Resources for further learning
Creating an action plan for deployment
• Capstone Project
Designing and implementing a custom AI/BI Genie solution
Real-world scenario and presentation of findings

Subjects

Data Science