Executives at the Edge

Amin Jerraya, SVP and Head of IT Infrastructure at Siemens Healthineers, shares the infrastructure demands of enterprise AI as workloads span clouds, data centers, and global operations. How can enterprises balance performance, security, and visibility while building the programmable, interoperable infrastructure needed to scale AI and support autonomous agents? Subscribe on Your Favorite Podcast Platform Apple Spotify Pandora YouTube RSS Feed In this Executives at the Edge episode, host Pasc

Live from the GNE MainStage, Mplify CTO Pascal Menezes shares a vision for the network ecosystem needed to support agentic AI at scale. From high-performance connectivity and AI-driven service automation to trusted federation across providers, he explores how Mplify’s standards and APIs can help create a more responsive, interoperable network supply chain. Hear how these capabilities are coming together to support the next generation of distributed AI. Subscribe on Your Favorite Podcast Platfo

SecureIQLab VP of Engineering, Ahmed Garhy, explains how independent, evidence-based testing can bring greater confidence and consistency to cybersecurity. As SASE solutions become more complex and AI accelerates how infrastructure is deployed and managed, how must validation evolve to keep pace? Subscribe on Your Favorite Podcast Platform Apple Spotify Pandora YouTube RSS Feed In this Executives at the Edge episode, host Pascal Menezes explores these topics and more with Ahmed Garhy of Secur

Live from the GNE MainStage, Rakesh Bachoe, Head of Design & Development, AMS-IX, Chris Dietzel, Head of Products & Innovation, DE-CIX, and Richard Petrie, CTO, LINX share how years of collaboration on automated interconnection are helping shape a more standardized approach for the industry. By bringing proven IX capabilities into the Mplify LSO API ecosystem, they see an opportunity to simplify how interconnection is consumed, expand adoption, and support emerging connectivity demands across th

RAD’s Chief Technology Officer, Ron Insler, explains why Carrier Ethernet is evolving to meet the demands of AI. As AI workloads become more distributed and performance sensitive, deterministic connectivity is becoming essential for AI-ready infrastructure. How will networking evolve to support the next generation of AI? Subscribe on Your Favorite Podcast Platform Apple Spotify Pandora YouTube RSS Feed In this Executives at the Edge episode, host Pascal Menezes explores these topics and more

Live from the GNE MainStage, Mplify CTO Pascal Menezes shares his vision for the next generation of AI infrastructure, and the role networks must play in supporting it. From programmable connectivity and standardized automation to federation and AI-driven service orchestration, he explains why traditional networking models must evolve to meet the demands of the AI economy. Listen in for a strategic perspective on how open standards can help build the networks AI will depend on. Subscribe on You