AI for the BI Professional

Overview

Join us for an enlightening session on integrating AI into your Business Intelligence (BI) solutions to achieve superior data insights. This event is perfect for BI professionals seeking to enhance their reporting capabilities with advanced AI features.

Dive into the world of AI by learning how to effectively use pre-built AI tools tailored for BI, and understand how to consume complex models developed by data scientists.

Additionally, leverage the powerful AI features within Power BI to create intelligent and insightful reports that can transform your data analysis approach.

This event is hosted on the YouTube platform, providing you with an accessible and flexible learning experience. Don't miss this opportunity to elevate your BI skills and stay ahead in the rapidly evolving field of data analytics.

Categories covered include Artificial Intelligence Courses and Conference Talks, making it a comprehensive resource for both educational growth and professional development in AI and BI integration.

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

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Subjects

Conference Talks