AI Across Industries: How AMD Technologies Are Powering the Next Wave of Enterprise Transformation

AI has moved from experimentation to execution, and enterprises now face a new challenge to scale AI deployments fast enough to create measurable business impact. 

Across industries, organizations are under pressure to turn data into faster insights, greater efficiency, and new value. This requires the right infrastructure, one that is built for high performance and flexibility across the full stack. At Advancing AI 2026, business leaders will experience how AMD and its partners are helping enterprises build and scale AI and how the right compute strategy can turn AI innovation into a lasting competitive advantage.  

Telecommunications: Enabling Intelligent, Autonomous Networks

Telecommunications providers are transforming their networks to support the demands of 5G, edge computing, and AI-driven services. As infrastructure becomes more distributed and cloud-native, operators must balance performance, cost, and energy efficiency while maintaining reliability. 

AI enables new approaches to network optimization, predictive maintenance, real-time traffic management, and autonomous network operations. AMD provides the high-performance, energy-efficient compute platforms needed to support these workloads from core data centers to the network edge. Network operators can achieve up to 71% lower power consumption and up to 67% lower three-year TCO with 5^th Gen AMD EPYC™ CPU-based systems versus legacy competitor systems.¹ With flexible architectures and an open ecosystem, operators can modernize their networks while maintaining control over cost and complexity. 

By lowering power consumption and reducing total cost of ownership, telecommunications providers can free resources for network modernization, expand capacity more cost-effectively, and support emerging AI and edge services. The result is a highly resilient, scalable network that can deliver better customer experiences while supporting long-term business growth. 

Healthcare: Turning Data into Clinical Insights 

Healthcare organizations are navigating rising costs, workforce shortages, and increasing cybersecurity risks. At the same time, they must manage vast volumes of complex, fragmented data across clinical and operational systems. 

AI is expanding across diagnostics, medical imaging, genomics, and clinical decision support. However, many healthcare organizations struggle to move beyond pilot programs and into full-scale deployment. The gap is not in strategy or effectiveness, but in infrastructure readiness and the ability to operationalize AI at scale. 

AMD enables this transition with high-performance, security-focused, and energy-efficient infrastructure. AMD EPYC CPU-based servers can deliver up to 1.7x faster AI responsiveness than a comparable competitive solution, helping care teams do more with less.³ From large-scale research environments to real-time inference at the point of care, AMD technologies help providers process data faster, reduce infrastructure footprint, and lower total cost of ownership.  

With the right infrastructure foundation to deploy AI at scale, providers can transform growing volumes of clinical and operational data into actionable intelligence, helping clinicians spend more time with patients, accelerating discoveries in research and precision medicine, and improving the quality and efficiency of care delivery. In an environment defined by rising demand and constrained resources, these advantages can have a meaningful impact on both patient outcomes and organizational performance. 

Manufacturing: Accelerating the Industry 4.0 Transformation

Manufacturers are embracing AI as a cornerstone of Industry 4.0, integrating advanced technologies into production environments to improve efficiency, quality, and agility. Yet many face challenges related to infrastructure scalability, cost management, and integration between IT and operational technology systems. 

AI is enabling transformative use cases such as digital twins, predictive maintenance, and AI-powered quality inspection. 

AMD has a full stack of AI solutions that unify traditional IT workloads with the HPC, and AI workloads that operations team needs in a single, scalable infrastructure. With up to 100% higher performance-per-watt and high compute density, manufacturers can consolidate infrastructure, reduce energy consumption, and accelerate innovation cycles.⁶

Ultimately, infrastructure efficiency translates into business agility. By enabling faster insights from operational data and supporting more demanding AI workloads within existing power and space constraints, manufacturers can shorten development cycles, improve production quality, reduce operational costs, and respond more quickly to changing customer and market requirements. 

Financial Services: Scaling AI with Speed, Security, and Precision 

Financial institutions operate in one of the most data-intensive and highly regulated environments in the world. They must process massive volumes of structured and unstructured data while maintaining strict standards for security, compliance, and performance. 

AI is transforming key areas such as fraud detection, risk modeling, algorithmic trading, and customer engagement. As a result, firms depend on high-performance infrastructure to process increasingly complex workloads. AMD EPYC™ CPUs help organizations accelerate these compute-intensive applications while improving infrastructure efficiency. Organizations can achieve up to 4.6x the performance on cryptographic workloads and up to 1.5x the performance on financial analytics workloads using 5^th gen AMD EPYC CPU powered cloud instances compared to similar competitive alternatives.⁷ By enabling faster analysis and better infrastructure utilization, AMD helps financial institutions extract more value from their cloud investments while accelerating time to insight. 

In addition to accelerating analytics and decision-making, AMD EPYC CPUs enable organizations to strengthen security and maintain compliance requirements. Combined with efficient processing of sensitive financial data, these capabilities help institutions reduce risk, improve operational efficiency, and deliver the trusted experiences customers expect. 

In an industry where milliseconds, accuracy, and trust can directly affect business outcomes, infrastructure efficiency is a strategic advantage. Greater performance and cost efficiency enable financial institutions to process more transactions, run more sophisticated analytics, and scale AI-driven services while maintaining control over operational costs. The result is a stronger foundation for innovation. 

Retail: Scaling Intelligence Across the Customer Experience

Retailers are operating in an environment defined by rapid change, evolving customer expectations, and increasing operational complexity. Supply chain disruptions, labor challenges, and fragmented data ecosystems are forcing retailers to rethink how they deliver value. 

AI is playing a critical role in this transformation, enabling personalized recommendations, demand forecasting, computer vision for store operations, and edge AI for real-time insights. However, scaling these capabilities remains a challenge for many organizations due to limitations in infrastructure and data integration. 

AMD addresses these challenges by powering scalable compute solutions across cloud, edge, and store environments.  AMD EPYC 8005 CPUs provide up to 2x the performance-per-CPU Watt than a competitive offering in the category.⁹ This enables retailers to process high volumes of data in real time, optimize operations, and deliver seamless, personalized customer experiences. 

As retailers scale AI across their operations, AMD provides the foundation to transform data into a competitive advantage. With greater visibility into customer behavior, demand patterns, inventory performance, and store operations, retailers can make more informed decisions across the business. This enables organizations to improve inventory efficiency, deliver more personalized customer experiences, and respond more quickly to shifts in consumer demand.  

Join the Leaders Shaping the Future of AI

Advancing AI 2026 brings together AMD leaders, partners, developers, and customers to explore real-world AI deployments, the latest innovations in AI infrastructure, and strategies for scaling AI across the enterprise. 

Whether you are leading AI strategy, modernizing infrastructure, or building next-generation applications, join AMD in San Francisco on July 22–23 to learn how organizations are moving from experimentation to production and creating business value with AI. 

Explore the session catalog to find the sessions most relevant to your AI priorities - from hands-on workshops and technical deep dives to emerging trends and real-world strategies across industries, these sessions will offer valuable insights into AI infrastructure, architecture, and development.