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Intel on AI

Intel Corporation
Intel on AI
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  • AI PCs and the Future of Cybersecurity: AI-Powered Protection from Deepfakes
    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. 
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  • From PoC to Production: How Lenovo Turns AI into Enterprise Impact
    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.
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  • Robotics at the Edge: Where AI Meets Real-World Automation
    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.
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  • AI for Accessibility: How Sorenson Is Advancing Inclusive Communication
    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.
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  • Graph Technology Meets GenAI: A Neo4j Perspective
    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.
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