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SNIA Developer Conference September 15-17, 2025 | Santa Clara, CA

Mohamad EL-Batal

Chief Technologist of Cloud Storage Systems

Seagate Technology

Mohamad El-Batal is the Chief Technologist of Cloud Storage Systems within the Seagate’s Office of the CTO. In his role at Seagate, Mohamad is given the opportunity to help shape the storage systems strategy and its future foundational technology roadmap. Mohamad holds a BS degree in Electrical and Computer Engineering and did Graduate work on Digital Signal Processing at the University of Colorado at Boulder. In his career, since 1990, Mohamad charted new grounds in various fields of enterprise and modern datacenter storage architectures that spanned various innovative engineering disciplines. Mohamad is on the Board of Directors of the Non-Volatile Memory Express (NVMe), Future Memory and Storage (FMS), and on the Open Compute Project (OCP) Advisory Board. Mohamad is currently the chairing multiple OCP data storage, memory and data connectivity/composability workstreams. Mohamad participated technically and influenced various industry standard groups including FC, SAS, NVMe, CXL and DMTF consortiums. In his career, Mohamad worked at leading enterprise storage technology and cloud provider companies, including Tandem, EMC, Mylex, IBM, LSI, Engenio, NetApp, Avago, and now Seagate. Mohamad has 30+ year history of enterprise and cloud storage architecture knowledge, experience, and innovation. Mohamad holds 50+ issued and 20+ pending patents, covering: High-Availability/Resiliency Storage and Memory solutions, SSD controller and Composable Systems architecture focus areas. https://www.linkedin.com/in/mohamad-el-batal-3055151/

Related Sessions

AI / ML

AI Driven Mass-Storage Evolution

The extreme growth in modern AI-model training datasets, as well as the explosion of Gen-AI data output are both fueling unprecedented levels of data-storage capacity growth in the datacenters. Such rapid growth in mass-capacity is demanding evolutionary steps in foundational storage technologies to enable higher areal density, optimized data-access interface methodologies and highly efficiency power/cooling infrastructure. We will explore these evolutionary technologies and take a sneak peek at the future of mass data-storage in the AI datacenters.

Mohamad EL-Batal
Chief Technologist of Cloud Storage Systems
Seagate Technology

AI Driven Mass-Storage Evolution

Submitted by Anonymous (not verified) on
The extreme growth in modern AI-model training datasets, as well as the explosion of Gen-AI data output are both fueling unprecedented levels of data-storage capacity growth in the datacenters. Such rapid growth in mass-capacity is demanding evolutionary steps in foundational storage technologies to enable higher areal density, optimized data-access interface methodologies and highly efficiency power/cooling infrastructure. We will explore these evolutionary technologies and take a sneak peek at the future of mass data-storage in the AI datacenters.

Storage Blending: The Evolving Role of HDD and SSD in Data Systems for an AI and Analytics Era

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As the rapid expansion of AI and analytics continues, storage system architecture and total cost of ownership (TCO) are undergoing significant transformation. Emerging technologies such as HAMR in rotating storage and high-capacity, data center-grade QLC in flash promise to redefine the landscape for both hyperscale and OEM data storage solutions. But what will that evolution look like?

Optimizing HDD Interface in the Generative AI Era

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Citigroup Inc. analysts quote, "Enterprise data is expected to continue to grow at over 40% CAGR as AI becomes an incremental driver for data creation, storage, and data management."

Today's AI ecosystem require fundamental shifts in the requirements of every datacenter infrastructure component. The predominant AI infrastructure strategy tends to currently focus on the most drastically impactful infrastructure components, as in GPUs, CPUs and Memory.​

Cloud Storage Efficiency at Scale

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Cloud storage efficiency at scale requires driving a variety of critical industry initiatives, in this session we will focus on three mass storage efficiency pillars:

- Nanoscale Complexity Deployment Simplification of foundational Tecnologies - Efficiency through Foundational Storage Technology Superior Media Density Innovation

- TCO Optimized Data Accessibility - Efficiency through Electro-Mechanical Innovation OS & Application Optimization

- Mass Capacity Systems Innovation - Efficiency through Intelligent Resource Virtualization Effortless HDD Deployment.

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