Intel on AI

Intel Corporation

Tune in as we dissect recent AI news, explore cutting-edge innovations, and sit down with influential voices shaping the future of AI. Whether you're a seasoned expert or just dipping your toes into the AI waters, our podcast is your go-to resource for staying informed and inspired. #IntelAI @IntelAI

  1. AI PCs and the Future of Cybersecurity: AI-Powered Protection from Deepfakes

    PŘED 19 H

    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.

    16 min
  2. From PoC to Production: How Lenovo Turns AI into Enterprise Impact

    PŘED 5 DNY

    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.

    18 min
  3. Robotics at the Edge: Where AI Meets Real-World Automation

    3. 9.

    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.

    28 min
  4. AI for Accessibility: How Sorenson Is Advancing Inclusive Communication

    20. 8.

    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.

    26 min
  5. Graph Technology Meets GenAI: A Neo4j Perspective

    6. 8.

    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.

    23 min
  6. AI That Works: How Google Cloud Delivers Impact

    23. 7.

    AI That Works: How Google Cloud Delivers 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

    24 min
  7. AI’s Next Frontier: Human Collaboration, Data Strategy, and Scale

    9. 7.

    AI’s Next Frontier: Human Collaboration, Data Strategy, and Scale

    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.

    25 min
  8. Designing Empathetic AI: The Future of Human-Centered Technology

    25. 6.

    Designing Empathetic AI: The Future of Human-Centered Technology

    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.

    34 min
Zobrazit vše (128)

Informace

Tune in as we dissect recent AI news, explore cutting-edge innovations, and sit down with influential voices shaping the future of AI. Whether you're a seasoned expert or just dipping your toes into the AI waters, our podcast is your go-to resource for staying informed and inspired. #IntelAI @IntelAI

Informace

  • Autor
    Intel Corporation
  • Aktivní
    2018 - 2025
  • Díly
    128
  • Hodnocení
    Nezávadné
  • Copyright
    © Intel Corporation
  • Web pořadu
    Intel on AI

Také by se vám mohlo líbit