Artificial Intelligence (AI) and Machine Learning (ML) are transforming networking and data center infrastructure. This webinar explores Cisco’s latest innovations powering AI/ML workloads, offering professionals and leaders insights into cutting-edge advancements and real-world applications.
Building AI-Ready Data Centers with Cisco Technologies
AI and ML are not just transforming applications—they’re reshaping the very foundation of data center infrastructure. This webinar highlights how Cisco’s latest innovations in compute, networking, and automation enable businesses to harness the potential of Artificial Intelligence and Machine Learning.
We discussed how Cisco UCS and Nexus solutions optimize AI/ML workloads, explained typical use cases, and provided insights into troubleshooting and automation techniques that enhance performance. Whether you are a network/data center expert or IT leader, this session will provide valuable insights into the impact of AI/ML on data center design and help you plan the data center architectures of tomorrow.
In the session, we discussed the following:
- The evolving role of AI/ML in modern data centers
- Resource requirements of AI/ML applications
- Cisco’s AI/ML-driven infrastructure strategy
- AI-ready networking and compute solutions (Cisco UCS and AI POD, Nexus)
- AI-driven automation and troubleshooting in data centers
- Building skills for designing AI-ready data centers
Discover how AI/ML is reshaping data center infrastructure.
About the presenter

Goran Martić has been working with networking and data center technologies for over 15 years. He has designed and deployed Cisco-based IT infrastructures for large multinational enterprises. At NIL, part of Conscia Group, his primary focus is data center consulting, Cisco training delivery, and content development for IT vendors.
In addition to his work in IT, Goran is also a Teaching Assistant at the Faculty of Computing in Belgrade, Serbia, and the Faculty of Technical Sciences in Novi Sad, Serbia. He holds a Master’s degree in Computer Engineering and Networking and is currently pursuing a Ph.D.