stages

Data & AI

As organisations prepare to minimise risk whilst maximising reward from AI, it’s never been more important to ensure data governance practices, architecture and culture are ready and able to support these advancements. The Data & AI stage brings together data leaders and practitioners alongside their peers in IT infrastructure, engineering and operations to explore how organisations can truly optimise the power of their data and reap the rewards of AI, responsibly.

Themes

• Human-centric AI: Keeping people at the heart of AI innovation
• Emphasising the role of high-quality data when developing and using AI models
• Understanding the business implications of dirty data
• Implementing AI successfully to optimise and streamline processes and create value
• Cultivating a data-literate culture across the organization
• Tailoring data and AI training programs to meet diverse employee needs
• Bridging the AI skills gap to unlock its full potential
• Applying effective guardrails which still foster creativity and empower teams 
• Establishing data and AI governance to build trust, not blind faith 
• Navigating ethical guidelines and regulations surrounding data and AI