Fatih E. Nar
Distinguished Architect at Red Hat
Dallas, Texas, United States
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Fatih E. Nar, known as “The Cloudified Turk,” has built a career solving complex challenges in various domains including telecom, entertainment , media and others. With experience at Google, Verizon Wireless, Canonical Ubuntu, Ericsson, and now Red Hat, he specializes in cloud-native and Data & AI-driven solutions for enterprises and service providers.
He holds an MSc in Information Technology and a BSc in Electronics Engineering, along with completed studies at MIT and ongoing professional education at Stanford. His work blends AI, cloud, and hyperscale computing to create practical, software-driven solutions.
Fatih is also a recognized writer, sharing insights through his Open xG HyperCore series on Medium and contributing to AI/ML projects on GitHub and Hugging Face. In 20205 Fatih has been elected as a subject matter expert on AI/ML within Linux Foundation Networking (LFN) organization to steer & lead AI initiatives.
When not working, he’s likely exploring new datasets and AI models, ctl’ing with k8s, or sneaking dad jokes into tech discussions.
Area of Expertise
Topics
Transforming Telecom Operations: Leveraging AI for Strategic Advantage
Join Fatih E. Nar and Ian Hood (Telecom CTO at Red Hat) for a deep dive into AI-driven transformations in telecommunications. This session will outline a pragmatic five-level achievement plan for integrating AI, from enhancing existing infrastructures to adopting autonomous systems. We'll share insights from real-world implementations and discussions from major customer engagements and events. Discover how to seamlessly integrate AI with legacy systems and comply with stringent regulations, while moving towards predictive operational models that improve customer satisfaction and operational efficiency. Learn about the strategic use of open-source AI to foster innovation and the steps to transform telecom operations from basic automation to full autonomy, ensuring network resilience and responsiveness. This session is ideal for telecom operators, AI strategists, and professionals in legal/regulatory roles interested in practical AI deployment strategies and achieving transformative outcomes in telecommunications.
Transforming Real-Life Enterprise Operations with Open AI
The TME-AIX (https://github.com/tme-osx/TME-AIX) project bridges the gap between AI advancements and real-world telco challenges by providing ready-to-use datasets, AI models, and code repositories tailored for telecommunications. This session showcases practical applications of AI-driven solutions for fraud prevention, service assurance, customer experience, and sustainability, leveraging domain expertise. Attendees will learn how to deploy scalable, ethical, and cost-effective AI solutions using the TME-AIX examples to inspire & augment with AI in their operation flows in enterprise IT.
Transforming 5G RAN with AI driven Computing Infrastructure (AI RAN)
The rollout of 5G networks represents a major leap in telecommunications, providing ultra-low latency, high-speed data, and massive connectivity. However, to fully realize the potential of 5G, the radio access network (RAN)—a crucial component—must evolve to handle the increased complexity and demands. Artificial Intelligence (AI) and advanced computing infrastructure are transforming 5G RAN, enabling unprecedented levels of automation, efficiency, and performance.
This session, will explore how AI-driven computing infrastructure can transform 5G RAN architecture, enhancing network management, optimizing spectrum utilization, reducing operational costs, and enabling new services. Through real-world use cases and technical insights, this talk will provide a comprehensive understanding of how AI can unlock the full potential of 5G.
Harnessing the power of AIOPS for Telco Grade Observability; delivering enhanced LCM and scalability
Discover the transformative potential of AIOPS and its seamless collaboration with the multi-cloud implementing Telco Grade Observability. Designed for Telco/IT professionals passionate about optimizing their application management in multi-cloud Telco with resiliency, service availability, and precision, this session explores how Artificial Intelligence for IT Operations (AIOPS) revolutionizes IT operations management, delivering enhanced productivity, cost-effectiveness, and scalability.
Learn how it empowers Telco/IT teams to automate and improve the Life Cycle Management (LCM) process and scale applications running on cloud seamlessly.
Key highlights of this session include:
Understanding of AIOPS and its vital role in modern IT operations.
Insights into 5G Telco cloud and its seamless integration with AIOPS for enhanced application management.
Strategies for leveraging AIOPS to automate and improve LCM and scalability within 5G Telco cloud.
Harnessing Observability for 5G Performance: eBPF and OpenTelemetry Innovations
This session explores the integration of eBPF and OpenTelemetry (OTel) for achieving unparalleled observability and performance in 5G networks. By leveraging the K8s Operator framework, we demonstrate the Kubernetes-native deployment of advanced observability tools, including the bpfman stack for managing eBPF programs and the OpenTelemetry Operator for scalable telemetry pipelines. Participants will gain actionable insights into optimizing 5G Cloud Native Network Functions (CNFs) through precise observability, robust performance metrics, and real-time diagnostics, while ensuring security and multi-tenancy.
Democratizing AI for Telecommunications with PyTorch
We propose a presentation on our TME-AIX project, showcasing practical AI implementations in telecommunications using PyTorch on consumer-grade hardware. Our work demonstrates how telcos can effectively implement classification, regression, clustering, and anomaly detection models without requiring specialized infrastructure. Key Points:
(1)Implementation of "mixture of experts" approaches combining traditional ML with transformers
(2) Real-world telco use cases: fraud detection, service assurance, traffic segmentation, and security anomaly detection
(3) Data engineering using OpenTelemetry for telco-specific datasets
(4) Complete open-source implementation with notebooks and models available on GitHub and Hugging Face
Our presentation will provide practical insights for implementing cost-effective AI solutions in telecommunications environments with PyTorch, demonstrating that effective AI adoption doesn't necessarily require massive computational resources.
AI eXperiments for Enterprise IT
TME-AIX is a github public repository is dedicated to exploring various Telco Media Entertainment use-cases built around open source AI capabilities and utilizing open datasets. Link: https://github.com/fenar/TME-AIX
Harnessing Observability with AI for Distributed Applications
We will delve into the cutting-edge advancements in AI infused Application Performance Monitoring and Tracing (APM/T) for edge computing applications, focusing on the integration of Extended Berkeley Packet Filter (eBPF) and Large Language Models (LLM).
Enhancing Network Stability with AI: A Novel Approach Using AI driven Forward Erasure Coding
This session delves into the innovative use of Artificial Intelligence (AI) in network stability, particularly emphasizing a novel approach in AI driven Forward Erasure Coding (FEC). Designed for network engineers, data scientists, and IT professionals, the presentation aims to unfold how AI can be integrated with advanced FEC techniques to significantly improve network reliability and data transmission efficiency, especially in high-loss environments.
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