Intel^® Developer Cloud for the Edge is designed to help you prototype, evaluate, and benchmark AI and edge solutions on Intel^® hardware with immediate worldwide access. Within the Developer cloud, the Bare-metal platform enables you to develop or import your computer vision or edge AI application using a JupyterLab environment on a bare-metal infrastructure.

In this session, you will learn:

• Intel^® Developer Cloud for the Edge Overview
• Gain an understanding of Intel^® Developer Cloud for the Edge, its key features, and the value it offers for edge computing.
• Software portfolio
• Discover how to harness the power of OpenVINO™ 2.0 API to build applications using code snippets, create reusable blocks of code to accelerate development.
• Explore the capabilities of Deep Learning Workbench for fine-tuning and optimizing your AI models.
• Explore real-world use cases with telemetry insights, demonstrating the practical application of the software portfolio.
• Hardware portfolio
• Get an exclusive look at the latest and greatest hardware onboarded on the Developer Cloud in 2022-2023
• Gain insights into the hardware's capabilities and how it can enhance your edge computing applications.
• Learn about workload testing and how to analyze inference performance on different Intel^® Hardware.
• Discover how telemetry insights can provide valuable optimization opportunities for your projects.
• BKMs for software and hardware combinations
• Recommendations and guidelines for achieving optimal performance with specific software and hardware combinations.

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Monique Jones

Developer Cloud for the Edge - Technical Product Manager
Intel

Meet Monique, a passionate technical product manager for Intel Developer Cloud for the Edge with 10+ years of experience in AI and cutting-edge technology. She brings a unique blend of technical expertise and product management skills to solve complex business challenges and drive innovation. Prior to her current role, as a senior software engineer and team lead at Intel, Monique developed end-to-end AI solutions and optimized AI models for Intel hardware, resulting in multi-million dollar design wins. Her experience and technical proficiency make her a sought-after speaker at worldwide conferences and events. Monique holds a Bachelor of Science in Electrical Engineering/Computer Engineering from Texas State University and is dedicated to staying current with the latest technology to leverage AI solutions for transformative change.