LLMs for Business Intelligence

• An understanding of business intelligence concepts
• Experience with data analysis and basic programming skills
• Familiarity with machine learning principles

Audience

• Business analysts
• Data scientists
• Strategic planners

Large Language Models (LLMs) are deep neural network models that can generate natural language texts based on a given input or context. LLMs for Business Intelligence is an exploration of the transformative impact of LLMs on business data analysis.

This instructor-led, live training (online or onsite) is aimed at intermediate-level business professionals and data analysts who wish to harness the power of LLMs for extracting business insights.

By the end of this training, participants will be able to:

• Understand the fundamentals and applications of LLMs in the context of business intelligence.
• Apply LLMs to analyze large datasets and extract meaningful insights.
• Integrate LLM-driven analytics into strategic business decision-making processes.
• Evaluate the ethical considerations and best practices for using LLMs in business.
• Anticipate future trends in AI and prepare for the evolving landscape of business intelligence.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to LLMs and Business Intelligence

• Overview of LLMs in the context of business analytics
• The role of LLMs in data-driven decision-making
• Understanding the capabilities and limitations of LLMs

Data Analysis with LLMs

• Preparing datasets for LLM analysis
• Techniques for data extraction and processing using LLMs
• Generating reports and visualizations with LLMs

Market Analysis Using LLMs

• Sentiment analysis and customer feedback interpretation
• Competitive intelligence gathering with LLMs
• Predictive modeling for market trends

Strategic Planning with LLMs

• Integrating LLM insights into business strategy
• Scenario planning and risk assessment with LLMs
• Crafting data-informed business plans

Case Studies and Industry Applications

• Review of successful LLM applications in various industries
• Discussion on the impact of LLMs on business outcomes
• Group analysis of real-world business problems

Ethical Considerations and Data Governance

• Addressing ethical concerns in using LLMs for business intelligence
• Ensuring data privacy and compliance in LLM applications
• Best practices for data governance with LLMs

Hands-On Project

• Applying LLMs to a business intelligence challenge
• Peer reviews and collaborative problem-solving sessions

Summary and Next Steps