AI for the BI Professional

Overview

Explore AI integration in BI solutions for enhanced data insights. Learn to use pre-built AI tools, consume data scientist models, and leverage Power BI's AI features for intelligent reporting.

Syllabus

• Introduction to AI in Business Intelligence (BI)
Overview of AI and BI
Importance of AI in data-driven decision making
• Understanding AI Basics
AI vs. Machine Learning vs. Data Science
Key AI concepts: Algorithms, Models, and Training Data
• Integrating AI in BI Solutions
Identifying AI opportunities in BI
Key components of AI-enabled BI systems
• Leveraging Pre-built AI Tools
Overview of major AI tools in the market
Using pre-trained models for common BI tasks
Best practices for selecting and evaluating AI tools
• Consuming Data Scientist Models
Collaborating with Data Scientists
Importing and using custom models in BI tools
Model management and lifecycle
• Power BI's AI Features
Introduction to Power BI and its AI capabilities
Integrating Azure AI and cognitive services
Using AI visuals and features in Power BI
• Designing Intelligent Reports
Crafting effective AI-driven data visualizations
Incorporating AI insights into reporting
Enhancing user interpretation with AI-driven narratives
• Case Studies and Practical Applications
Real-world examples of AI in BI
Hands-on projects using AI in Power BI
• Ethical Considerations and Challenges
Data privacy and ethical implications of AI in BI
Addressing challenges and mitigating risks
• Future Trends in AI for BI
Emerging technologies and tools
Preparing for evolving AI capabilities in BI
• Course Review and Capstone Project
Summary of key learnings
Capstone project: Applying AI to a BI challenge
• Additional Resources
Recommended readings and online resources
Tools and software for further exploration

Subjects

Conference Talks