Overview: This event focused on key strategies for reducing data footprints, improving data quality, and integrating robust security practices within IT operations. It also covered the challenges and benefits of implementing DevSecOps, choosing cloud deployment models, and managing data effectively

• Data Management and Security: Techniques for lowering data footprints, ensuring high data quality, data classification, encryption, regulatory compliance, tokenisation, and managing Personally Identifiable Information (PII) and sensitive data.

• DevSecOps Implementation: Approaches to integrating security into development and operations, setting up continuous deployment (CD) pipelines, starting with smaller projects to build trust, and ensuring solutions conform to security best practices.

• Cloud Deployment Models: Evaluating single versus multi-cloud strategies, redundancy and cost considerations, hybrid cloud approaches, off-site backups, and performance testing with customers.

• Operational Systems and AI: Scaling operational systems, the role of SaaS, potential of generative AI for centralising data management, data centralisation, categorisation, clear data ownership, and ensuring portability across platforms