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Speaker

Shreyan Fernandes

Shreyan Fernandes

Software Developer | Mentor | Speaker

Bengaluru, India

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Shreyan is an Senior Executive at KPMG India, specializing in AI, IoT, Cloud and emerging technologies like Blockchain, Extended Reality (XR), and Low-Code Platforms. A passionate tech enthusiast and speaker, Shreyan brings a dynamic blend of technical expertise and clear communication to every engagement. He is also a Microsoft Most Valuable Professional.
His experience spans developing and implementing innovative solutions, exploring the practical applications of cutting-edge technologies, and advocating for open-source contributions. As a former Microsoft Gold Student Ambassador, Shreyan is committed to sharing his knowledge and inspiring others in the tech community.

Area of Expertise

  • Business & Management
  • Finance & Banking
  • Government, Social Sector & Education
  • Health & Medical
  • Information & Communications Technology

Topics

  • Artificial Inteligence
  • generative ai
  • Machine Leaning
  • Data Science
  • Deep Learning
  • Computer Vision
  • Azure Machine Learning
  • Azure AI
  • Azure AI Document Intelligence
  • Azure Cloud
  • Serverless computing
  • Low code/ No code
  • Blockchain Development
  • Website Development
  • Augmented Reality
  • Retrieval Augmented Generation
  • virtual reality
  • Developing Artificial Intelligence Technologies
  • ● Firebase ● Android ● Android Things / IOT ● Progressive Web App ● Machine learning and AI ● Robotics and Drone Technologies ● Tensorlow
  • SQL Server Machine Learning Services

Edge-Powered GenAI & Agents: Cost-Effective Innovation & Data Protection

Generative AI and autonomous agents are transformative, but often come with high cloud costs and data movement concerns. This session dives into the cost-effective revolution of Edge AI, demonstrating how to deploy powerful GenAI models using Microsoft's technologies and intelligent agents directly onto edge devices. The session will explore practical use cases where Edge AI drastically reduces latency and operational expenditure. Crucially, learn how keeping data local on the edge provides a robust layer of data protection and regulatory compliance. Finally, it'll demystify the AIOps pipeline, detailing best practices for productionizing Edge AI scenarios or seamlessly integrating an Edge-to-Cloud hybrid architecture for scalable AI deployments all using the Microsoft's products and services. This is the blueprint for delivering next-gen AI with both financial and security prudence.

Shreyan Fernandes

Software Developer | Mentor | Speaker

Bengaluru, India

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