Deploying AI enterprise-wide demands a strategic, meticulous approach. It's about designing robust systems that seamlessly integrate AI applications into existing infrastructure, ensuring data quality and accessibility. Crucially, this includes establishing stringent security measures to protect sensitive information and prevent misuse. The ultimate goal is a secure, scalable framework that drives significant business outcomes, from boosting efficiency to fostering innovation across all departments.
Speaker
Argyris Tsigkalis
Senior Solution Cybersecurity Manager
Siemens A.E.
Argyris Tsigkalis holds a diploma in Electrical Engineering with a strong background in industrial digitalization. Currently part of Architecture team within Siemens Greece Industry sector, Argyris specializes in digital solutions including IT/OT convergence, IIoT platforms, AI for industrial applications, simulation and digital twins, and cybersecurity of OT systems. His career spans both technical and sales roles, with a focus on automation in industrial and infrastructure domains.
Monday 3 | 11
Grande Bretagne Hotel, BallroomMon 3 | 11
In a new era of geopolitical conflict, Europe's energy infrastructure has become a primary target for hostile state actors, exposing a critical vulnerability. The deliberate targeting of pipelines, power grids, and data networks highlights how energy security is no longer merely an economic issue but a core component of national defense and geopolitical competition. This new reality compels European nations to invest in the resilience of their critical infrastructure, transforming energy security into a central pillar of strategic autonomy.
Speaker 1 Full Name
Title, Company, Country