AAMBFS and SAS Forecasting Hackathon for Sustainability and Data4Good
Overview
Join the SAS and AAMBFS Forecasting Workshop and Hackathon for Sustainability and Data for Good , powered by ESG Data for Good Center of Excellence. Unlock your potential to dive into the world of advanced forecasting. This unique event is your gateway to mastering the art and science of forecasting, exploring real-world applications, and shaping the future of decision-making.
What you’ll learn:
Large Scale Forecasting – What, How and what’s next ?
Sample Use Cases
- ATM Cash Forecasting (Banks)
- Network Capacity Forecasting(Telco)
- Energy (Re Energy) Forecasting (Utilities)
- Spare Parts Forecasting (Airlines, Automotives, Heavy Vehicle)
- Baggage and Passenger Forecasting (Airlines)
- Demand Forecasting (O&G, Retail, Pharma, Govt)
- Resource Forecasting (Contact Center, Hospitals, Service Industry)
What’s in for You?
- Learn foundations of Forecasting: Understand the basics of time series and machine learning-based forecasting.
- Build simple forecasting models.
- Develop advanced models using explanatory variables.
- Evaluate the impact of events such as natural disasters, public policy changes, or sales promotions.
Hands-On Workshop:
Get practical experience with SAS Visual Forecasting, a low-code/no-code solution, using real-world retail data.
Why this event is significant?
Hackathons like this are more than just competitions; they are innovation incubators.
Participants will:
- Learn: Gain exposure to cutting-edge tools like SAS Visual Forecasting, directly from industry experts.
- Apply: Develop hands-on experience with forecasting techniques to solve real challenges.
- Engage: Collaborate with peers, industry leaders, and academics in a stimulating, fast-paced environment.
- Win: Compete for recognition and prizes that underscore the value of their innovative solutions.
Previous events have shown that hackathons spark groundbreaking ideas. For instance, similar initiatives have resulted in solutions like improved water distribution models in arid regions and optimized resource allocation for non-profit organizations.
Who Can Participate?
- Egyptian students: Undergraduate & Postgraduate
- Working Professionals
Pre requisites:
- Participants are free to bring open datasets for Forecasting under Sustainability or Data4good.
- Bring your own gadgets. (Laptops)
- Should be familiar with SAS Viya, Python or similar.
