Learning AI for Business Analysis
1h 38mBeginner2024-12-20
Authors
Angela Wick
Business Analysis and Product Ownership Expert | Content Creator
Course details
More and more organizations are making investments in digital technologies such as artificial intelligence, machine learning, and robotics. These new technologies have sparked changes to business models, business operations, and customer expectations and experiences. This course was designed to help business analysts and project professionals grasp what these changes mean and how to implement them from a business perspective. Join instructor Angela Wick as she explores natural language generation, speech recognition, swarm intelligence, blockchain, and other exciting new technologies, laying out how each one can fit into your business processes. Plus, she covers how these innovations can impact traditional business analysis practices and explains how the customer journey is affected by digital and AI projects.
Learning objectives
Identify the intelligent automation and digital landscape involved in digital business analysis.
Determine the fundamentals of AI in business analysis and of robotic process automation (RPA).
Explore the essentials of biometrics, blockchain, and machine and deep learning in project transformation.
Break down the elements of the experiment and hypothesis phases, and the customer journey and the user experience.
Learning objectives
Identify the intelligent automation and digital landscape involved in digital business analysis.
Determine the fundamentals of AI in business analysis and of robotic process automation (RPA).
Explore the essentials of biometrics, blockchain, and machine and deep learning in project transformation.
Break down the elements of the experiment and hypothesis phases, and the customer journey and the user experience.
Skills covered
Business AnalysisArtificial Intelligence for BusinessProject ManagementLearningBusiness Analysis and Strategy
Concepts
Introduction
- Transform your business analysis career
- AI's impact on business analysis
- The mindset of a business analyst with AI
- AI landscape and the urgency for change
- Transforming into an AI business analyst
- Understand the capabilities of AI
AI - Language Interactions and Processing
- Generative AI for business analysis
- Natural language processing
- Speech recognition and voice technologies
- Chatbots and virtual agents
- AI agents and roles for business analysis
AI - Processing Non-Language Things
- AI outside the bounds of traditional generative AI
- Machine and deep learning - Business uses
- Biometrics - Business uses
- Video and image analysis - Business uses
- Swarm intelligence for business process
- Blockchain - business uses
- Robotic process automation for business analysis
- AI and data analytics for business analysis
- AI agent to AI agent integration capabilities
Impact to Requirements and Business Analysis
- Linking AI capabilities together for business analysis
- How are requirements similar for business analysis and AI
- How are requirements different for business analysis and AI
- Linking digital work to business processes
- AI projects with agile
Technique Highlights
- Experiments and hypothesis in AI business analysis work
- Business measurements of success
- The customer journey and user experience
- Monitoring the results of AI capabilities
Conclusion
- Next steps with AI in business analysis work