A hands-on workshop for Bussnus leaders to apply AI, Machine Learnin and Analytics for real-world impact.
This two-day intensive Artificial Intelligence workshop is designed to provide management in FMCG industry with a hands-on introduction to the real-life applications of AI, research, machine learning, and analytics across various sectors specializing in FMCG
The focus will be on hands-on experience in applying AI that can be immediately implemented in their respective environment. Participants will learn practical skills that they can immediately apply to enhance their day to day tasks and increase productivity and transformative capabilities.
The participants will be grouped in multiple teams and will be given the opportunity to use their learnings on day 1 and create a presentation and present it to trainer. Individual feedbacks will be provided to enhance the quality of Innovation, Automation, Optimization and application of learnings in real life
• Brief overview of AI and machine learning concepts • Discussion on the impact of AI in management • Case studies: Successful AI applications
• Definition and fundamentals of Generative AI. • Overview of AI technologies relevant to sustainability (e.g., Natural Language Processing, Machine Learning)
o Case studies and examples from different sectors. o Potential benefits and risks of Gen AI.
• Introduction to AI and analytics tools (e.g., Power BI, Tableau) • Guided setup of the workshop environment • Navigating the tools available in market and their real life use case application
• Data Collection and Exploration • Using analytics to enhance Exploratory Data Analysis (EDA) • Correlation and Regression analysis for real life use cases • Data Cleaning and Preparation • Hands-on Activity: Analysing course data to do descriptive analytics to explore the dataset, identifying trends, patterns, and correlations
• Applying machine learning models to predict student outcomes • Hands-on: Working on real life application of simple predictive model using student data • Workshop: Analyzing and interpreting model results
• Exploring analytics for course and curriculum improvement • Hands-on: Creating dashboards to visualize student performance data • Group activity: Using data to make informed decision making • Real-Life Applications of AI and Analytics in Education
• Hands-on: Designing an AI-driven adaptive learning module • Discussion on real-life examples of AI in education
Research and Project implementation on AI and analytics in management education
Implementing AI-driven solutions for day-to-day tasks in delivery of management of FMCG industry.
Strategy session on integrating AI and analytics into FMCG industry.
Team presentation with individual feedback to enhance innovation automation and real-life application.
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