AI-driven Decision Intelligence
Shaping Operations for Efficiency and Sustainability
Join us for an inspiring event where industry leaders and decision-makers come together to delve into the world of AI-driven Decision Intelligence.
In a rapidly evolving landscape, where every decision counts, harnessing the power of algorithmic decisions is crucial for shaping operations that not only drive efficiency but also foster sustainability.
This event is a collaborative effort led by ZHAW and sponsored by KPMG, Ateleris and Gurobi. Renowned companies will share their expertise and experiences on how organizations can harness the power of optimization to drive innovation and achieve remarkable outcomes.
Why Attend?
- Insightful Sessions: Engage with industry experts and thought leaders as they unveil the latest advancements in AI-driven decision intelligence, providing actionable insights for your organization's success.
- Networking Opportunities: Connect with like-minded professionals, fostering collaborations, and exchanging ideas to drive innovation and growth in your field.
- Practical Applications: Learn how leading organizations are harnessing AI to optimize operations, streamline processes, and achieve sustainability goals, with real-world case studies and success stories.
- Interactive Panel Discussion: hear about specific projects to gain practical skills and strategies for implementing AI-driven decision intelligence effectively within your organization.
Agenda
- Industry leading customer presentations
- An interactive workshop to share experiences and collaboratively define best practices in Decision Intelligence
- Interactive panel discussion on machine learning and optimization - use cases with local and global companies
- Networking lunch and apéro riche
Who Should Attend?
- Executives and Decision Makers
- Operations Managers
- Sustainability Leaders
- Technology Enthusiasts
Detailed Agenda
Opening by ZHAW – The AI Decision Advantage
Business decisions, if rationalized by a homo oeconomicus, aim to maximize a utility function. While manually structured approaches are inherently interpretable, they can suffer from imprecisions. Let us see how an AI-based decision intelligence improves nuance and provides intuition.
Keynote by KPMG – Introduction to Decision Intelligence
Decision Intelligence brings the methodologies and the tools to unlock tremendous value in an organization. What is required by organizations to fully reap its potential?
The Customer Journey to Decision Intelligence
In this session, we will take a closer look at the customer journey in adopting Decision Intelligence technologies. Ateleris and Gurobi will cover their specific perspective on combining consulting and development expertise with leading technologies.
Simon Felix, Ateleris
Dr. Kostja Siefen, Gurobi Optimization
Swissport – Automating Airport Staff Scheduling
Keeping airplanes in the air takes a full crew on the ground, too. Swissport cut planning time in half, while meeting 95-100% of employee scheduling preferences and saving $1 million per year.
Insights by HP International
HP International leverages machine learning and operation research within its channel inventory management. The need to ensure that products reach the right place at the right time poses rigorous data engineering and governance requirements, while the complexity of HP's Channel and supply chain requires careful integration of decision intelligence solutions both in internal processes and in the ecosystem of partners. This talk provides an overview on all technological and organizational elements that have been part of the development of SARA, the channel inventory management and order management for supplies in EMEA.
Dr. Niccolò Moretti, HP International
Improving Energy Supply through Intelligent Revision Planning with RevOpt Hydro
RevOpt Hydro is a sophisticated web-app that calculates the opportunity costs associated with revision shutdowns of hydro power plants and helps to determine the optimal timing for such revisions. I will illustrate how RevOpt Hydro has transformed our decision-making process, enabling us to schedule revisions that align with market conditions, thereby minimizing production losses, maximizing revenue, and improving energy supply reliability. Attendees will gain insights into the practical application of decision intelligence in the energy sector and the substantial benefits of combining advanced mathematical modeling with industry expertise.
Dr. Nathalie Statzer, Axpo
Interactive Panel Discussion
Machine Learning and Mathematical Optimization: Two Powerful Technologies Working Together
Julient Marquant (Urban Sympheny)
Jonas Schwertfeger (berufsbildner.ch)
Ben Torben Nielsen (Roche)
Time table:
| 09:00 – 10:00 | Registration | |
| 10:00 – 10:20 | Opening by ZHAW – The AI Decision Advantage | |
| 10:20 – 11:00 | Introduction to Decision Intelligence by KPMG | |
| 11:00 – 11:15 | Coffee break | |
| 11:15 – 12:00 | The Customer Journey to Decision Intelligence by Gurobi and Ateleris | |
| 12:00 – 13:00 | Lunch break | |
| 13:00 – 13:30 | Automating Airport Staff Scheduling at Swissport | |
| 13:30 – 14:00 | Insights by HP International | |
| 14:00 – 14:30 | Improving Energy Supply through Intelligent Revision Planning with RevOpt Hydro at Axpo | |
| 14:30 – 15:00 | Coffee break | |
| 15:00 – 15:30 | Group A: Workshop | Group B: Panel Discussion with Urban Sympheny, berufsbildner.ch and Roche |
| 15:30 – 15:45 | Coffee break | |
| 15:45 – 16:15 | Group B: Workshop | Group A: Panel Discussion with Urban Sympheny, berufsbildner.ch and Roche |
| 16:15 – 16:30 | Final Remarks + Closing | |
| 16:30 – 17:30 | Apéro riche |
Mark Your Calendar:
Date: 26 June, 2024
Time: 09:00 AM to 17:30 PM (Apéro riche 16:00 – 17:30)
Venue: ZHAW TP, Technikumstr. 9, 8400 Winterthur, Switzerland
The venue is easy to reach from Winterthur train station in 8 minutes walking, or in 1 minute by bus B2 and B3 to station «Winterthur, Technikum». There is a public parking garage directly on site: Parking Technikum Nord.
Registration is closed.