An Introduction to Supporting AI Workloads in the Cloud: Hardware Infrastructure and Other Complexities in the Cloud Environment

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Building and managing hardware infrastructure in the Cloud plays a critical role in the development of AI training models. It provides the essential resources needed to handle the complexity, scale, and computational demands of these workloads.

In this session, we will provide an overview on the hardware infrastructure that powers AI training models and the challenges that arise within the Cloud environment. The discussion will begin from building the infrastructure to generating the model, and finally, to the creation of business value.

The complimentary series on AI will be recorded for on demand access. Please register (to attend or to get link to recorded version)

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Overall series

The IEEE AI Coalition has organized a series of live webinars centered around the various topics of AI. Each webinar is composed of expert speakers that may cover both the technical aspects of AI as well as socio-economic, ethical, legal, and other implications with AI.

The IEEE AI Coalition is a collective of representatives from across IEEE who have come together with a shared purpose: to consolidate all of IEEE’s AI content into a cohesive platform and foster a robust network for AI-related resources. Our mission encompasses three key objectives:

    Classify and Index AI Work: We diligently organize and categorize AI-related work from across IEEE, ensuring that it is accessible in one centralized area. By doing so, we aim to bridge any gaps and facilitate seamless exploration of AI research, applications, and insights.
    Enhancing IEEE Services with AI: We explore how artificial intelligence can enhance the services provided by IEEE. Whether it’s optimizing processes, improving member experiences, or advancing technical publications, we strive to leverage AI effectively.
    Long-Term Vision: The AI Coalition is committed to developing a forward-thinking, long-term vision for the integration of AI within IEEE. We envision a future where AI-driven innovations empower our members, drive societal progress, and shape the technological landscape.

Join us on this transformative journey as we unlock the potential of AI within IEEE and the world!



  Date and Time

  Location

  Hosts

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  • Date: 28 Mar 2025
  • Time: 03:00 PM UTC to 05:00 PM UTC
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  • Co-sponsored by IEEE Future Tech Forum series on AI.


  Speakers

Christine of Microsoft

Topic:

Modereator

Biography:

Christine Miyachi has over 30 years of experience working for startups and large corporations. She writes a blog about software architecture: abstractsoftware.blogspot.com. She is currently a Software Development Manager at Microsoft + Nuance Communications leading a team of Full Stack Engineers working on the DAX (Dragon Ambient eXperience) using CICD deployed on Azure, holds several patents, and an IEEE Senior member. Christine graduated from the University of Rochester with a BS in electrical engineering. She holds two MIT degrees: an MS in technology and policy/electrical engineering and computer science and an MS in System Design and Management. Additionally, Christine is the past Chair of the IEEE Future Directions Committee that anticipates and determines the direction of existing, new and emerging technologies, and related issues, and to spearhead their investigation and development by IEEE. See more about Christine at www.christinemiyachi.com.

Address:United States

Emma

Topic:

Panelist

Biography:

Emma Montalvo currently drives platform reliability as a Senior Technical Program Manager at Microsoft AI. She has five years of experience in the industry across cloud reliability efforts in Microsoft Azure and full stack web development at Capital One. She has four patents for virtual machine recovery efforts to improve detection and minimize customer impact. Emma holds a B.S. in Commerce from the University of Virginia and is an active leader in professional communities (ie., Apprenticeship program at Microsoft, Insights Crew) to promote career development for those who are early-in-career.

Address:United States


Sam

Topic:

Panelist

Biography:

Sam Prakash Bheri is currently serving as a Principal Program Manager at Microsoft Azure, he specializes in Product and Program Management, driving cloud resiliency and hardware innovations while optimizing performance and sustainability.

He has over 18 years of experience in the technology industry, with a diverse background spanning Microsoft Azure, Amazon Alexa, Bank of America, and HP Labs. His expertise covers Cloud Computing and Artificial Intelligence, Cloud + AI Hardware Infrastructure, large-scale infrastructure management, telecommunications, and financial technology. His strategic leadership has enabled organizations to enhance cost efficiency, achieve operational excellence, and develop high-performance cloud solutions. With a strong track record of technical contributions—including patents, research, and leadership in large-scale cloud reliability programs—he continues to be a key influencer in the industry.

Address:United States