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Harness the new technologies that match your growth ambitions
Data is everywhere – and it’s waiting to be used to drive the development of new business processes and disruptive new business models. Even more, data is used to power emerging machine-learning platforms that drive truly intelligent business processes with minimal input. Yet, to take full advantage of data you need analytics.
Analytics is not about the platform you choose to implement but about the business process, data definitions and an architecture that facilitates rapid changes to support business need. Your company’s ability to harness the power of data through analytics is the key to future-proof decision-making and the great differentiator of the digital age.
At Delaware, we strive to be tool agnostic. We have technical skills covering the most used analytic front ends and supporting data warehouses. Our key focus is on SAP and Microsoft technologies.
Data and Analytics sessions
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Join Delaware's Andrew Sadler as he hosts a fireside chat with Phil Withey from London Stock Exchange Group (LSEG). Andrew and Phil's interactive discussion will include engaging and insightful topics such as:
- The future of AI in LSEG
- Challenges or lessons learned with implementation and roll out
- Data sharing and data federation
- Real time capabilities and futures
- Wider data structures
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This session, hosted by Andrew Sadler, will begin with an introduction to the energy sector's real-time data and the importance of proactive management, covering IoT, event-based data, KQL, and Fabric. We will then explore how IoT devices collect data from energy systems and demonstrate real-time data streaming from sensors. Following this, see how KQL is used to query and analyse the collected data, with examples of queries identifying anomalies and exceptions. The session will also discuss AI integration with Fabric for exception watching, showcasing a live demo of AI detecting and responding to anomalies.
12:45pm – 1:30pm -
This session, hosted by Andrew Sadler, will begin with an introduction to digital twins and their applications, focusing on either healthcare or campus settings. We will then explore how digital twins are used to create virtual models of healthcare locales such as hospitals and health centers, demonstrating a digital twin output of a hospital. The discussion will cover the use of AI for healthcare management and simulations, showcasing scenarios like emergency response, resource allocation, and infrastructure planning, along with a live demo of a "what-if" simulation for a freak occurrence like a pandemic or zombie apocalypse.
2.45pm – 3:30pm -
This session, hosted by Andrew Sadler, will begin with an overview of geographic tagged data and its prevalence, followed by an introduction to AI Foundry and its role in developing AI solutions. Andrew will explore the concept of a local AI GIS helper service and discuss how AI is used to analyse and interpret GIS data. He'll then explain the RAG (Retrieve, Augmentation, Generate) approach and showcase examples of AI-driven GIS applications, such as urban planning, disaster management, and environmental monitoring. Finally, a live demo will showcase the capabilities of a AI GIS helper service in action.
3:30pm – 4:15pm
