CW TEC 2024


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27 June 2024  |  The Computer Laboratory, University of Cambridge
09:00 - 09:30
Registration | Exhibition & Networking
09:30 - 09:40

Welcome from Cambridge Wireless


Welcome from our host

Ian Wassell, Senior Lecturer, Department of Computer Science & Technology, University of Cambridge

09:40 - 10:45

Introduction to AI

This session outlines AI basics, its evolution, and the current surge in technologies like convolutional neural network (CNN) and Generative AI, setting the stage for understanding AI's role in modern applications.

  • Introduction to the family of AI tech and where Machine Learning (ML) fits in.
  • Technical Jargon Buster
  • Why now? Why the upsurge in AI?
  • What is the latest?
10:45 - 11:15
Break | Exhibition & Networking
11:15 - 13:00

Applications of AI in Critical Industries

This session explores AI's impact across telecommunications, cybersecurity, healthcare, and banking, showcasing its capacity to enhance infrastructure resilience, cybersecurity defences, healthcare diagnostics, and banking services. We will explore a selection of use cases where AI has and is being applied to critical industries.

AI in Telecommunications: AI applied at scale to manage key infrastructure with requirement for resilience and reliability

  • AI for network management and configuration
  • AI for network planning and optimisation
  • AI for diagnostics and stream analytics


AI in Cybersecurity: AI applied to detecting, responding, and preventing cyber-attacks.

  • Increasingly used by both bad and good actors
  • Example application: Discovery and detection of anomalous behaviour in very large network traffic data sets
  • NCSC challenges protecting UK plc


AI in Healthcare/Health Sciences

  • Growing use and application of AI in healthcare, ranging from clinical diagnostics through to drug research.


AI in Banking Industry

  • Application of AI
  • Trading algorithms in capital markets
  • New generation of personal banking services
13:00 - 14:00

Lunch | Exhibition & Networking

14:00 - 15:45

AI Engineering Challenges

This session discusses the practical aspects of building AI solutions, including data management, risk mitigation, interoperability standards, and deployment tools, emphasising the organisational readiness required for AI integration.

Focusing on the practice of engineering AI solutions and the challenges for organisations to become AI Ready, including business outcomes and technical results from deployment.

  • Engineering resilient AI solutions
  • Data challenges (AI - programming with data)
  • Managing risk when building critical AI solutions
  • AI for programming and software engineering
  • Technical standards for AI interoperation
  • Infrastructure & tools - AI at the edge / in the cloud, toolsets GCP/AWS/GPT/Copilot etc.
  • How to get started?
15:45 - 16:15

Break | Exhibition & Networking

16:15 - 17:25

What does the future of AI look like?

This session speculates on AI's trajectory, covering new models, hybrid systems, sustainability in AI training, multi-agent systems, and explainable AI, aiming to foster discussion on the future of AI technologies.

Where will this technology be in 5 years’ time?

  • Beyond Large Language Models (LLM) what are universities working on?
    • Diffusion and Poisson Flow Generative Models (PFGMs)
  • Hybrid AI (Combining Statistical and Symbolic AI)
  • Efficient and Sustainable AI Training Methods
  • Multi-agent systems
  • Emergence of autonomics - self calibrating systems
  • Explainable AI - Techniques for enabling transparent AI decision making
17:25 - 17:30

Closing remarks

17:30 Event close

*Draft agenda, subject to change ahead of the event

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