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In this episode of PetrTech, host Haseeb Khan welcomes Eze Lanza, an Open Source AI Evangelist and Developer Advocate at Intel. With over a decade of experience in AI, including classical NLP and modern AI developments, Eze shares insights on the evolution of AI from traditional machine learning to large language models and AI agents. He explains how AI agents are transforming business automation by connecting AI models to external systems, enabling practical workflows with controlled execution. Eze also discusses the future of work shaped by AI, the challenges around ethics and responsibility, and the growing adoption of AI tools among developers. The conversation highlights real-world applications in healthcare, finance, and customer experience, emphasizing an agentic future powered by AI’s evolving senses.
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In this episode of PetrTech, host Haseeb Khan welcomes Eze Lanza, an Open Source AI Evangelist and Developer Advocate at Intel. With over a decade of experience in AI, including classical NLP and modern AI developments, Eze shares insights on the evolution of AI from traditional machine learning to large language models and AI agents. He explains how AI agents are transforming business automation by connecting AI models to external systems, enabling practical workflows with controlled execution. Eze also discusses the future of work shaped by AI, the challenges around ethics and responsibility, and the growing adoption of AI tools among developers. The conversation highlights real-world applications in healthcare, finance, and customer experience, emphasizing an agentic future powered by AI’s evolving senses.
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