Intel on AI

AI isn’t just transforming the software stack — it’s reshaping the very machines powering modern business. Jennifer Larson, General Manager of Commercial Client Segments at Intel, breaks down why the distinction between workstations and high-end desktops matters more than ever, and how Intel is engineering platforms designed for creators, engineers, and enterprise users navigating increasingly complex workloads. The conversation explores the rise of small language models, on-device inference, and local AI — technologies that promise new levels of performance, privacy, and productivity right at the edge. Larson also sheds light on how Intel defines performance in an AI-driven world, how evolving security demands are influencing hardware strategy, and the priorities CIOs and CTOs should keep top of mind as 2025 approaches. Packed with insight and foresight, this discussion offers a grounded look at where commercial computing is headed next.  #AIPC  #AIWorkstation  #CommercialPCs  #On-DeviceAI  #EdgeComputing  #IntelAI  #LocalAI  #AIProductivity 

Deepfakes are no longer science fiction—they’re a fast-growing threat to consumers, businesses, and the trust we place in digital content. In this episode with Leena Elias, Chief Product Officer at Gen Digital, we explore how Norton and Intel are joining forces to fight back with AI-powered protection built directly into the next generation of AI PCs. We break down what deepfakes are, why they matter, and how running detection locally on the device creates stronger, faster security than cloud-only solutions.  Our conversation also dives into the broader impact of AI on cybersecurity—both the risks and the opportunities—as well as how Norton is evolving its strategy to meet this new era of threats. From simplifying highly technical solutions for everyday users to anticipating what comes next, you’ll hear how Norton and Intel are shaping a safer digital future. 

Turning AI from promising experiments into billion-dollar business value requires more than powerful hardware—it takes strategy, scalability, and responsibility. In this episode, David Ellison, Chief Data Scientist & Director of AI Engineering at Lenovo, shares how the company’s AI Discover Center of Excellence has generated more than $1 billion in revenue by moving beyond proofs of concept to enterprise-scale deployments. David breaks down why CPU-based inferencing is becoming a cost-efficient alternative to GPUs, how innovations like Intel’s AMX, AVX, and OpenVINO toolkit are reshaping performance, and what enterprises can learn from real-world applications—from NASCAR’s Smart Pit Box to logistics at USPS. The conversation also explores responsible AI practices, offering guidance for C-suite leaders balancing performance, cost, and trust.  Looking ahread, David shares where CPU-based AI inferencing is poised to make the biggest impact in the next few years.

AI at the Edge is more than a technical shift—it’s where intelligence meets the physical world. In this episode, Matthew Formica, Senior Director and Head of Edge Product Marketing & AI PC/Edge AI Software Developer Relations at Intel, unpacks how the company is shaping the future of AI at the Edge and why this space is becoming a critical frontier for innovation. Matthew shares the untold story of Intel’s Edge business, the real-world value of Edge AI for industries from retail to logistics, and how robotics is emerging as a powerful proving ground for AI in action. He discusses the role of OpenVINO and the new Model Hub in accelerating AI deployment, the momentum of AI PCs, and what it takes to support developers building solutions that demand performance, power efficiency, and real-time decision-making. Drawing on his diverse background in developer relations, product marketing, and corporate strategy, Matthew offers practical guidance for business leaders curious about AI but unsure where to start. He also looks ahead to the next 12–18 months, sharing the trends and breakthroughs he believes will redefine the Edge AI landscape.

AI is transforming communication—but for the Deaf and hard-of-hearing community, the stakes are even higher. In this episode, Mariam Rahmani, Senior Director of AI at Sorenson, shares how her team approaches AI innovation with accessibility at its core. From developing computer vision models for sign language translation to navigating the real-world constraints of ethical deployment, she explains what it takes to build AI that serves people—not just use cases. Mariam discusses how Sorenson prioritizes projects that drive tangible impact, the challenges of measuring success in accessibility, and the unique hurdles AI teams face when designing for underserved communities. She also reflects on her journey through academia, corporate innovation at Intel, and now mission-driven work at Sorenson—and how those experiences have shaped her thinking around scalable, responsible AI. Whether you're building AI products, leading technical teams, or exploring how technology can drive inclusion, this conversation sheds light on the practical and human-centered realities of AI for accessibility.

Connected data is becoming a core competitive advantage in AI, and Neo4j is helping organizations harness it to deliver intelligent experiences at scale. In this episode, Neha Bajwa, Vice President of Product Marketing at Neo4j, explains how graph technology transforms the way companies manage data, derive insights, and operationalize AI by contextualizing information through relationships. Unlike traditional databases, graph databases reveal hidden patterns in highly connected data, making them ideal for modern AI systems that demand rapid, relevant, and explainable access to organizational knowledge. You’ll hear how cities like London use graph-powered digital twins to reduce traffic congestion, and how companies are cutting cybersecurity response times with graph-based detection. Neha also breaks down the rise of GraphRAG—combining Retrieval-Augmented Generation with graph databases to ground generative AI models in structured, connected knowledge for higher accuracy and fewer hallucinations. This approach enables organizations to unify data across disconnected systems without heavy migrations, creating explainable AI critical for regulated industries. She shares how Klarna consolidated 1,200 applications into a single platform using Neo4j’s knowledge graph and agentic AI, building a scalable foundation for continuous innovation. As industries push for AI with real returns, the focus has shifted from asking what AI can do to how quickly it can drive business outcomes with a data infrastructure that supports it. Tune in for a practical, clear look at how Neo4j is helping organizations build connected, AI-ready data strategies to accelerate adoption and deliver real impact.

AI adoption is shifting from proof-of-concept to enterprise execution, and Google Cloud is helping organizations turn ambition into measurable outcomes through clarity, customization, and speed to value. In this episode, Riyaz Habibbhai, Director of Product Marketing at Google Cloud, outlines why simplicity, security, and strategic alignment are essential for scalable AI, and how platforms like AgentSpace enable companies to deploy and manage intelligent agents across workflows in one place. He explains how Google’s vertically integrated stack—from TPUs and GPUs to Vertex AI—gives customers the flexibility to combine proprietary and open-source tools, fitting AI into unique workflows rather than forcing a one-size-fits-all approach. You’ll hear how industries are seeing clear ROI in customer service and software development and why the real opportunity lies in customizing AI for specific business contexts, whether in logistics, manufacturing, or financial operations. Riyaz also shares why product marketers and business leaders need to actively use AI to communicate its value effectively, turning great products into clear, compelling stories that drive adoption. Tune in for a thoughtful, pragmatic look at how Google Cloud is helping companies move from AI experimentation to orchestration at scale, making AI a core business capability that delivers real impact. #AIProductMarketing #GoogleCloud #AgentOrchestration #EnterpriseAI #AIInnovation #AgentSpace #AIatScale #CustomAI #AIIntegration #TechLeadership #AIinBusiness #AIAdoption #GenerativeAI #CustomerEngagement #AIWorkflow #AIandCreativity

Learn how companies are turning AI ambition into real business outcomes with Ramtin Davanlou, CTO of Accenture’s partnership with Intel. In this episode, Ramtin outlines the key ingredients for scaling generative AI across the enterprise—from building a strong data foundation and aligning use cases with ROI, to choosing the right models and forming powerful partnerships. He explains why treating AI like a core business capability—not a science experiment—is critical, and how Accenture is helping clients move from pilot projects to full-scale transformation. You’ll also hear his take on the future of human-AI collaboration, the rise of intelligent automation in physical environments, and why every team—not just data scientists—must be part of the AI conversation. Tune in for a thoughtful, pragmatic look at what it really takes to operationalize GenAI at speed and scale. 

Discover how emotionally intelligent AI is changing the way enterprises interact, decide, and operate in this conversation with Ted Shelton, Chief Operating Officer at Inflection AI. The episode unpacks the rise of empathetic systems—from redefining customer support to enabling more human-like collaboration across teams. Ted shares practical use cases around Pi, an AI assistant designed with emotional intelligence and explains how businesses can move beyond transactional AI to create more meaningful engagement. The discussion also covers strategies for overcoming legacy data issues, the value of private AI in regulated industries, and the leadership mindset required to embrace these shifts. Tune in for a grounded, real-world look at designing AI that understands not just what users ask—but how they feel. 

Explore how GenAI is reshaping enterprise infrastructure, marketing, and customer impact with Varun Chhabra, Senior Vice President of Product Marketing at Dell Technologies. Varun shares Dell’s perspective on deploying AI at scale—from the launch of Intel's Xeon 6 and Gaudi 3 accelerators to transforming how product messaging is created and delivered. He also offers a candid look at Dell’s own GenAI adoption journey, what it takes to lead change across a large organization, and how AI can be a powerful force for productivity, personalization, and even educational equity. Tune in for a thoughtful, real-world discussion on making AI work—beyond the buzzwords. 

Discover Building Scalable, Sustainable AI Infrastructure with Ray Pang, Senior Vice President of Technology and Business Enablement at Supermicro. Ray unpacks how Supermicro is tackling the challenges of AI infrastructure at scale—combining high-performance computing with a deep commitment to sustainability. Learn how Supermicro approaches green computing, from energy-efficient server design to innovations in liquid cooling, and why partnerships are key to accelerating AI innovation. Ray also discusses the rise of billion-dollar AI deployments, the critical role of ecosystem collaboration, and what organizations must consider to future-proof their data centers in a rapidly evolving AI landscape.

Discover AI at the Edge with Dan Rodriguez, Corporate Vice President and General Manager of the Network and Edge Solutions Group at Intel. Dan shares how Intel is driving innovation at the intersection of AI, 5G, and edge computing—powering intelligent solutions across industries. Explore the opportunities and challenges companies face when deploying AI at the edge, how Intel is collaborating with partners like Siemens Healthineers, and what makes recent announcements from Intel so significant. Dan also breaks down key trends shaping the future of edge AI and offers practical advice for organizations looking to scale their efforts.

Explore how AI is transforming work and productivity with Sandra Andrews, Global GM, Surface Go-To-Market at Microsoft. Sandra joined us to unpack what an AI-first device strategy really means for today’s enterprises. From the rising importance of on-device intelligence and NPUs to how Microsoft’s Surface and Copilot are being used to solve real business challenges, Sandra shares compelling insights from the field—including takeaways from her recent visits to Japan and Mobile World Congress. We also explore how always-connected computing is shaping AI’s next chapter, what’s ahead for Surface + Copilot PCs, and why the right hardware matters more than ever for decision-makers navigating the future of work.

Explore how AI is tranforming healthcare with Peter Shen, Head of Digital and Automation at Siemens Healthineers. From improving diagnostics and treatment planning to enhancing patient outcomes with precision medicine, Peter shares insights on multimodal AI, the power of edge computing in imaging and diagnostics, and the growing role of AI-enabled medical devices.  He also reflects on his CES presentation, the challenges of achieving data interoperability, and his testimony before Congress on AI’s impact. Tune in for an in-depth look at how AI is reshaping the future of medicine and optimizing healthcare workflows. 

In this episode of the Intel on AI podcast, we welcome Ryan Asdourian, EVP & Chief Marketing Officer at Lumen Technologies, to explore how AI is reshaping industries through cutting-edge infrastructure. Ryan discusses how Lumen is enabling businesses to build AI-ready environments with advanced connectivity, edge computing, and secure data movement.  We dive into the role of high-speed, low-latency networks in optimizing AI applications and highlight real-world use cases where AI and network infrastructure create economic value. Ryan also shares insights on Lumen’s collaboration with enterprises and what it means for businesses looking to accelerate innovation.  Beyond technology, we examine AI’s impact on workforce transformation, digital inclusion, and sustainability, as well as the evolving intersection of AI and telecom. Whether you're a business leader integrating AI or an industry professional exploring new opportunities, this episode is packed with valuable insights. 

Welcome to the first episode in our 2025 season of Intel on AI. We sit down with Luke Norris, founder and CEO of Kamiwaza AI to explore how enterprises can unlock trillions of AI inferences per day with hardware-agnostic, scalable AI infrastructure. We discuss the Fifth Industrial Revolution and the rise of AI-native enterprises, why AI inference—not training—is the real bottleneck, and how the new AI supply chain is evolving with custom silicon, cloud interoperability, and multi-vendor strategies. Plus, we dive into the AI Leverage Index (ALI) as a key metric for enterprise intelligence, the rise of autonomous AI agents, and the shift toward inference-based AI monetization. Don't miss this conversation on the future of AI-driven business. Subscribe for more AI insights! 

Learn about building cutting-edge AI tools, tailored for internal use with Intel experts Boaz Efroni Rotman and Barbara Roos. They dive into the creation of IGPT and VITA, Intel's innovative solutions for secure information sharing and productivity, and share insights on balancing generalized versus specialized AI tools. Whether you're curious about AI adoption strategies, tackling data challenges, or the future of CRM, this episode is packed with actionable advice for businesses navigating the AI revolution.   RESOURCES: ·       Vita white paper: https://www.intel.com/content/www/us/en/content-details/834569/content-details.html ·       Sales assists white paper: https://www.intel.com/content/dam/www/central-libraries/us/en/documents/improving-sales-account-coverage-with-ai-paper.pdf

Explore real-world applications driving sustainability, productivity, and accessibility, from disaster prediction to personalized banking and interactive kiosks.  Join Scott Tease, VP and GM of Lenovo’s Infrastructure Solutions Group as we discuss cutting-edge innovations like liquid cooling systems, which enhance energy efficiency in data centers and learn how AI is shifting from the cloud to the edge, making advanced technology accessible and sustainable for businesses and consumers alike. Scott also highlights Lenovo's commitment to sustainability, discussing innovative approaches to recycling and reducing environmental impact while delivering business value.

Dive into the transformative potential of Retrieval Augmented Generation (RAG) with Intel's Bill Pearson and Deloitte's Baris Sarer. In this episode, they discuss how RAG combines enterprise data with large language models to unlock new efficiencies and insights. From tackling data governance and security challenges to exploring cutting-edge solutions at the edge and in the cloud, this conversation unpacks the real-world applications, benefits, and future of AI-driven data management in the enterprise.  Learn more about Intel AI for Enterprise RAG.

Learn about the development of low-resource language models with Ian Gilmour, founder of Euler Digital and creator of Bezoku.  Ian shares how Bezoku evolved from AI Forum, addressing the challenge of creating AI models for languages with limited data. He emphasizes the need for low-resource language models and their potential use cases, like polling and surveying, through techniques like reinforcement learning. Gilmour also delves into technical strategies, such as homomorphic encryption and synthetic data, for building secure and efficient AI solutions.