Description
This training is designed for modern banking and financial sector professionals, offering a comprehensive overview of how Artificial Intelligence (AI) can be integrated into product and marketing management processes. From strategy to user research, segmentation to media planning, and product development to CRM and campaign management, the program demonstrates how to create value across end-to-end processes using AI and MarTech applications—through practical examples, tools, and case studies.
Audience
- Business Analysts, Systems Analysts, Project Managers, Team Leaders/Managers, and Enterprise Architects
- Individuals holding the Product Owner (PO) role in Scrum teams
- Those looking to improve their knowledge and skills in Business Analysis and Project Scope Management, and enhance business performance
- Mid to Senior-level IT Managers managing Business Analysis teams or processes
- UX Specialists
- Software Experts
- Test Engineers and Quality Assurance Experts
Outline
Strategic Product and Marketing Management in Banking
Consumer Segmentation and AI-Powered Segmentation
Financial Product Development with Design Thinking
AI-Powered Product Development Processes
Analyzing User Needs with AI
MVP and Prototype Development with Artificial Intelligence
A/B Testing, Hypothesis Validation, and Experiment Design with AI
Data-Driven Decision Making and Product Roadmap Planning
Agile Project and Product Management
Minimum Viable Product (MVP) and a Culture of Rapid Testing
Introduction to Artificial Intelligence: Concepts and Technologies
Digital Media Planning and AI in Programmatic Advertising
Personalization and Recommender System Applications
Customer Feedback and Voice of Customer Analytics
Sentiment Analysis and AI for UX Enhancement
Social Media Content Management and Creative AI Applications
CRM, Automation, and AI-Powered Campaign Management
AI-Native Banking Products and Transformation in Financial Services
The MarTech Ecosystem and Artificial Intelligence
Regulation, Ethics, Explainability, and AI Risks
Case Study: Designing a New AI-Powered Product or Campaign