Building high-performing data and infrastructure teams
Talent & cultureOn their agenda
Building high-performing data and infrastructure teams
Talent & cultureOptimizing cloud utilization
Data platformsDriving data strategy
Digital transformation
Digital transformationIn the room
GMT · Panel
The future of enterprise growth is closely tied to the adoption of agentic AI, which offers capabilities far beyond traditional AI by enabling autonomous execution. This panel will examine how agentic AI enables continuous improvement in business processes, drives competitive differentiation through faster innovation cycles, and supports customer experiences. Leaders will discuss how to build resilient enterprise architectures that fully leverage agentic AI’s potential. They will also explore strategies for aligning AI initiatives with organizational goals, addressing ethical and governance considerations, and preparing the workforce for AI-driven transformation.
Working on now
Currently, Gerald is focused on enhancing data infrastructure and leading strategic cloud initiatives within his role as a Data and Infrastructure Lead at DS Smith
About
Gerald Schmidt is a highly experienced Data and Infrastructure Lead based in London, known for his passion in building high-performing teams and leveraging cloud technologies to drive organizational success. With a background at leading companies like DS Smith, Gerald possesses deep expertise in architecting robust data solutions and optimizing infrastructure for scalability and efficiency. He excels in leading complex projects, fostering collaborative environments, and mentoring talent, consistently delivering impactful results. Gerald's approachable and collaborative style makes him an ideal connection for professionals seeking insights into data strategy, cloud migration, team leadership, and digital transformation. He is particularly influential in discussions around modern data architectures, infrastructure as code, and creating resilient technical ecosystems. Connect with Gerald to explore synergies in data, infrastructure, and team development.
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