Day 1 - 23 November 2021
08:30AM
(CET)
Registration Opens
09:45AM
(CET)
AI for Enterprise: Chairperson’s Welcome
10:00AM
(CET)
Creating multi-objective models with ML
- Details to follow
10:30AM
(CET)
AI at the edge
- What to look for in an AI solution in 2021
- How processing at the edge can create more efficient decision making
11:00AM
(CET)
Combating fear of The Unknown – Building trust through explainability
- What level of trust and autonomy should we give our AI systems?
- Providing explanations for decisions made by AI systems
- Overcoming hesitation to deploy AI-powered solutions
11:30AM
Networking Break
11:50AM
(CET)
Panel: Responsible delivery – the ethics of AI
- What is AI bias, and is it fair?
- Discussing liability and security
- Who benefits from AI, and could it result in a decrease in human-human interaction and employment issues?
12:30PM
(CET)
AI solutions for secure e-commerce
- Leverage your data whilst limiting your risk exposure
- Use NLP to forecast market movements
- AI for auditing and strategy
12:50PM
(CET)
Combating coronavirus with AI
- Understanding the role that AI technologies play in Covid-19 crisis response
- Examining the impact of collaboration on a global scale
- Accelerating capabilities through detection, prevention, response & recovery
01:10PM
Networking Break
02:30PM
(CET)
Panel: Built to scale – Ramping up AI projects
- How to move your project from “experimentation” to “live”
- R&D budget signoff – understanding why you need AI
- Turning AI into ROI – what does value mean to your business?
- Top tips for moving your pilot to the next stage
03:30PM
(CET)
Augmenting capacity through collaboration
- How utilising different resources can help progress your projects
- How companies can work with universities to maximise project success
03:10PM
(CET)
The next wave: Self-healing AI
- Examining AI-based prevention and how it can enable quick diagnosis & rectification of problems
- How software impacts value in your digital transformation efforts
- Defining a self-healing enterprise