Day 1 - 20 September 2022



Chairperson’s Welcome

Chairpersons welcome and opening remarks.  



Presentation: The Augmented Workforce

Fearing that disruptive technologies would replace workers; it is now clear that these innovations are there to aid employees’ skills and capabilities – realising them from automated tasks and giving them the time to work on new projects. Here we will look at the role of AI and ML in helping to build a digitally enabled and efficient workforce.



Keynote Presentation: A Competitive Advantage with AI and ML

  • Using AI and ML to gain real-time intelligence, in turn creating a strong competitive advantage.  
  • Creating a holistic technology approach to your digital transformation strategy.  
  • What new services are expected to appear in this space? 



Presentation: Empowering the AI-enabled Team

  • Looking at how to truly embed AI into internal processes to enhance the teams’ capabilities, not disrupt the workflow.  
  • Giving employees the training and tools they need to be developers, not just users.  
  • Fitting technology to the solution, not the other way around. 



Networking Break



Panel: AI Driven Digital Transformation

  • Building a comprehensive business strategy, how to embed AI into this from the outset. 
  • Enabling decisions based on real-time intelligence. 
  • Utilising ML solutions to aid processes and consumer experiences. 



Presentation: AI Against Hackers

  • Protecting data from cyber hacks through AI-based security solutions. 
  • The potential to scan malware in real-time. 
  • The ability to react autonomously to everchanging threats.  



Presentation: Finding Cyber Threats through AI Algorithms

  • How AI/ML algorithms can be utilised to find network traffic and unusual patterns in a growing complex digital world. 
  • The current barriers hindering the capabilities of AI and ML use in cyber security. 



Lunch & Networking Break



Presentation: NLP Enabling Enhanced Services

Looking at NLP (Natural Language Processing) progressions like OpenAI for enhanced user experiences and automated responses.  



Panel: Evolving the Enterprise with Language Modelling

  • How language modelling is enhancing workforce and service capabilities, as well as increased data literacy.  
  • What are the challenges that need to be considered here?  
  • Accelerating processes with deep learning and neural networks – looking at the expansion of deep learning at scale across complex tasks.  



Presentation: Deep Learning

A deep-dive into the current deep learning use-cases. Where do we go next with the capabilities deep learning provides?  



Networking Break



Presentation: Low-code and No-code Technologies – Closing the Skills Gap

  • As low-code and no-code technologies can be quickly rolled out, why haven’t these been adopted sooner?  
  • Closing the AI skills gap – where to start? 
  • While these technologies create a quick fix, are they a long-term solution? 



Presentation: AI Innovation



Presentation: Collaborative Solutions through Converging Technologies

  • Creating a holistic strategy that includes AI, BI, ML and IoT processes and capabilities.  
  • A shit towards simplifying the vendor landscape to limit the overlap here – is the next step converging data warehouses and data lakes? 
  • Building partnerships across solutions and sectors as the key to an optimised eco-system.  



End of Day 1

View Day 2 Content Here:

Applied Data & AnalyticsData Optimisation | Big Data | Intelligent Decision Making | Data Storage | Industry Use Cases

Transformational AIPersonalization | Edge AI | Future Progressions | Innovations | Industry Use-Cases