Anshu Pandey

WORKSHOP TOPIC: AI FOR BANKING – BUILDING AI DRIVEN BANKING SYSTEM

COURSE OVERVIEW:

This workshop is for Bankers, managers and professionals working for banking and finance enterprises, the course focuses on understanding the concept of Artificial Intelligence and its applications to transform banking and finance business model. This course will stimulate learner’s thinking in the right direction giving you the clarity and confidence to take the next steps. The main objective to make participant Understand AI from a leader’s perspective and the practical, data-driven methods to identify and quantify opportunities that leverage artificial intelligence to create competitive advantage and radically change how your business operates.

LEARNING OBJECTIVES:

Understand the landscape of AI – understanding the domains and terms Machine Learning, Deep Learning, Data Analytics, Data Science, Computer Vision and Natural Language Processing.

Identifying the use of AI in the domain of Data Science, Computer Vision and Natural Language Processing for Customer Service and support, Banking operations, product sales, operations management, Risk Management, AML etc.

Exploring the new customized applications of AI in Banking, architecting the phases of implementation, and productization process.

Testing AI based applications, evaluating the performance, deciding the performance the appropriate metric for AI based applications.

Exploring Machine Learning solutions development technologies and best practices. Comparing ML as a service model.

SCHEDULE

9:00 – 9:45 ARTIFICIAL INTELLIGENCE – UNDERSTANDING THE BUSINESS WAY

• Understanding the idea behind Artificial Intelligence with logical and technical perspective
• Recognize Typical applications and use cases of AI in Business and daily life
• AI v/s Non AI
• AI and Business Disruption

9:45 - 10:30 THE LANDSCAPE OF ARTIFICIAL INTELLIGENCE

• Understanding AI v/s Machine Learning v/s Deep Learning
• Understanding Data Analytics, Data Science
• Understanding Computer Vision and NLP
• Understanding how Industries leverage power of AI

10:30 – 10:45 TEA BREAK

10:45 – 11:30 AI AND IMPLEMENTATION IN INDUSTRY

• How to decide when to use capabilities of AI for business?
• What business problems can AI help solve?
• Realistic implementation of AI from an executive’s perspective

11:30 – 12:15 DATA DRIVEN BUSINESS MODEL WITH AI

• Case Study - What is data driven decision making?
• Using data to understand market opportunity
• Using data to understand customer demand
• Data Science – transforming business with data driven model
• Computer Vision – next generation smart applications with visual recognition
• Natural Language Processing – building digital executives for customer service

12:15 – 13:15 LUNCH

13:15 – 14:00 TRANSFORMATIONS IN BANKING WITH USE OF AI

• Artificial intelligence for Customer Service and Support
• AI for Risk management, retail and corporate banking
• AI based customer targeting
• Reinforcement Learning in Banking

14:00 – 15:00 IMPLEMENTING & ARCHITECTING AI APPLICATIONS

• Examining team culture, capabilities and readiness
• How could AI impact on my business unit - both negatively and positively?
• Create a digital transformation roadmap leveraging AI and other emerging technologies.

15:00 – 15:30 PERFORMANCE EVALUATION AND TESTING AI MODELS

• Testing methodology
• Important metrics to evaluate AI model for compliance and production cost
• Validating AI model based on customer readiness

15:30 – 15:45 TEA BREAK

14:45 – 17:00 AI Applications

• Comparing multiple technologies to use for developing AI applications
• The technology and manpower costs - Selecting the right AI platform and associated technology + building expert teams
• Deployment Practices and best practices
• What happens to executives and businesses that misunderstand disruption?
• Review of what has been taught
• Get individuals to create their own action list