Lucia Batlova

AI driven innovation is accelerating, and with it, a surge of new tools, datasets, and experimental vendors vying for a place in the enterprise. Every promising partnership also carries potential privacy, security, and regulatory exposure. In this session, Lucia Batlova, EMEA Data Protection & Privacy Lead at Lenovo, reveals how teams in a global organization cut through the noise: rapidly assessing high volume third party requests, screening risky AI initiatives without slowing momentum, and enabling safe experimentation at scale. With real world examples, she shows how legal can stay firmly positioned as an innovation accelerator, while keeping risk firmly in check (considering the fragmented global AI landscape & insufficiency of traditional privacy and security frameworks).

• Building scalable screening processes

• Embedding privacy by design into teams

• Automating and operationalising third party oversight