Iintroduction :
In this era where massive amount of data are generated every day, business entails a systemic and scientific way of making good decisions. This highly participative training course on Leading with Analytics & Artificial Intelligence will help you to cultivate your own analytic and intelligent decisions. It will help you as well, to reason about high and low times in your business.
This training course seeks to provide you with skills such as data analytics, reasoning why some issues have taken place at work and predicting possible business turning points.
Training Objectives :
- Techniques to discover turning points in business
- Creating a rigid route from raw data into the vision and mission of the enterprise
- Understand Data analytics techniques and goals
- Understand the different AI means
- Know when to apply each AI technique
- Assess the readability of the enterprise to utilize AI techniques
Training Outline :
Day 1 - Making the Right Move
- Understanding Business Dynamics and Decision-Making
- Data-Driven Decision Making: Leveraging Information for Strategic Choices
- Intelligent Decision-Making Processes
- Overview of Data Analytics and Machine Learning
- Core Concepts and Techniques in Artificial Intelligence
Day 2 - From business data to the enterprise goals
- Data Analysis for Present Visualization
- Exploring Past Data to Identify Key Turning Points
- Understanding Causality: Why Events Occur in Business
- Predicting Future Business Trends with AI
- Scenario Analysis for Optimal Decision-Making
- Workshop : Defining and Analyzing KPIs Using Exce
Day 3 - Machine learning Case studies
- Customer Segmentation: Leveraging Machine Learning for Market Insights
- Recommendation Systems: AI-Powered Personalized Suggestions
- Reinforcement Learning: Adaptive Decision-Making in Business
- Basket Analysis: Understanding Consumer Behavior through ML
- Data Visualization with POWER BI
- Workshop : Hands-On Experience with Power BI
Day 4 - Thinking and Acting like Humans
- Comparing Human and Machine Intelligence
- Introduction to Artificial Neural Networks
- Deep Learning and Its Business Applications
- Fuzzy Logic Systems for Decision-Making
- Case Studies in AI-Driven Decision-Making
Day 5 - Thinking and Acting reasonably
- Computer Vision and Intelligent Agents: An Overview
- Optimization with Genetic Algorithms: Evolutionary Computing in Business
- Swarm Intelligence for Optimization: Nature-Inspired Problem Solving
- Workshop : Case Studies in AI Applications and Optimization
- Success Factors for AI and Data Analytics Projects
Target Audience
- Business Leaders and Executives
- Data Analysts and Data Scientists
- AI and Machine Learning Professionals
- Strategy and Innovation Managers
- IT and Digital Transformation Leaders
- Operations and Process Improvement Managers
- HR and Talent Management Professionals
- Marketing and Customer Insights Specialists
- Financial Analysts and Risk Managers
- Professionals Seeking to Leverage AI and Analytics for Decision-Making