- Getting started with AI in the enterprise: Top-down strategy execution and bottom-up proof of concepts
- Driving innovation in a financial enterprise: Create a data-driven FinTech mind-set and start-up way of working
- Understanding how to move from a pilot project into a full scale deployment
- Selecting the right architecture and technology to support you on your journey
- Case studies: Exploring various AI and ML projects
- How mature is the industry relating to AI and Machine learning – pilot projects, live projects, evaluation, ROI?
- What are the existing barriers for adoption and what can the industry do to overcome them?
- Identifying the need: Ensuring that AI and ML projects are aligned to overall business objectives
- Should you invest in these technologies? Discussing the value proposition and perceived ROI from machine learning and artificial intelligence?
- How can we change organisational behaviour and accelerate trust and engagement with adoption of AI and ML capability
- Allaying fears and creating AI advocates that can promote the future adoption of AI
- How can we get more from our technology partners and ensure that we identify, select and implement the right technology
- What does the future hold?