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EST (Toronto) Feb 7, 2024
GMT (London) Feb 7, 2024
AEDT (Melbourne) Feb 8, 2024
8:45 AM
1:45 PM
12:45 AM
Arthur Berrill
9:00 AM
2:00 PM
1:00 AM
Digital Twins in Finance – An Example
Arthur Berrill & Janette Wong
The Royal Bank of Canada (RBC) has built a complete digital twin firmly within the domain of a financial institute (FI). In the process, most of the challenges of a functional digital twin were encountered. For this presentation we’ll explain the use case we used, the competency questions, the fit and rationale of a digital twin in a FI and the various technology choices we had to make. We’ll show a little of the project (code named Flamel) in action and a quick look at the data we used. We’ll also show why the business case for a digital twin makes sense and where we expect the technology to be used next in RBC and perhaps outside the RBC firewall.
9:35 AM
2:35 PM
1:35 AM
Knowledge Graph Powered Digital Twins
Peio Popov
After defining the foundational capabilities of the knowledge graph, the presentation will focus on examples of why the knowledge graph makes sense for the digital twin and the technologies within that knowledge graph that power effective digital twins.
10:00 AM
3:00 PM
2:00 AM
Ontology as the Defining Structure of a Digital Twin
Professor Michael Gruninger
The fundamental structure of the knowledge graph was framed on a federated ontology generated from 8 different (and in some cases inconsistent and differently scoped) ontologies. We’ll follow Peio’s session with a presentation from Professor Gruninger to explain how we solved the various problems and an explanation of how we are approaching the future challenge of generating more comprehensive ontologies for larger and even more exciting digital twins.
10:30 AM
3:30 PM
2:30 AM
10:40 AM
3:40 PM
2:40 AM
From Farm to Table: Towards Knowledge Centric Agricultural Digital Twins
Dr. François Scharffe
From the farmer on a plot of land in rural Dakota to macroeconomics of crops products many variables are at play. It is not an easy task for farmers to control the quality of their production, while at the same time trying to adapt to ever changing economic and climate situations. It is similarly not an easy task for large stakeholders such as governments, or large landowners to get an overall vision on the state of farms. In this presentation, we present a system based on a combination of a farming digital twin, a knowledge graph, and an application that actually helps farmers in their day to day life. Find more details in the downloadable agenda.
11:10 AM
4:10 PM
3:10 AM
Starting points and Success stories with Digital Twins
Kamran Baqai
This session will cover the following topics: (1) Generating business value from Digital Twin deployments - Success Stories, (2) Digital Twins in Virtual Reality and Augmented Reality, (3) How to get started with Digital Twins
11:40 AM
4:40 PM
3:40 AM
Digital Twins and the Quantum Age of ABC: AI, Blockchain and Cybersecurity
Dr. David Metcalf
Fintech is undergoing significant changes in structure, regulation, customer requirements and employee best practices. Come and explore the latest enterprise platforms that can meet and empower next generation technologies. How will the power of AI, Blockchain and next generation Cybersecurity, (ABC) affect banking, finance and the future of wealth? Join this lively discussion on the future of fintech, happening NOW.
12:10 PM
5:10 PM
4:10 AM
Knowledge Graph for Integrated Info Management in Farming, Agriculture & Climate Dynamics
Dahong Zhang
Irrigation timing is a big challenge for farmers for enhancing production yield, optimizing natural resources, and combating climate change. Excessive or insufficient irrigation impact plant health and crop yields. To address this, there is a need to analyze the relationships between crop yield, farm characteristics, soil properties and weather conditions. We proposed the Flamel ontology by integrating structures from existing ontologies, climate, and farms data. The design successfully models intricate relationships between weather conditions, soil moisture, and their impact on farms. We used OWL2 and evaluated our ontology using the ELK reasoner and SPARQL queries.
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