Get detailed information about the pivotal role of cloud environments in realising the full potential of generative AI models.
About this Event

Explore the transformative landscape of generative AI within cloud infrastructures in our upcoming webinar. Get detailed information about the pivotal role of cloud environments in realising the full potential of generative AI models. Understand the nuances of Amazon Web Services (AWS) and how it facilitates the deployment and scalability of generative AI applications. Discover the innovative contributions of Microsoft Azure to advanced generative models and explore how Google Cloud Platform (GCP) creatively manages AI solutions. Acquire valuable insights into the comparative strengths and considerations of AWS, Azure, and GCP for implementing generative AI, supporting well-informed infrastructure decisions. Leverage opportunity to gain additional insights and foster collaborative learning. Join us as we navigate the dynamic intersection of cloud and generative AI, influencing the future of innovation and creativity.

Agenda:

Understanding the Significance of Cloud Infrastructure for Generative AI Models.
Exploring Amazon Web Services for Deploying and Scaling Generative AI Applications.
Delving into Microsoft Azure's Capabilities for Advanced Generative Models.
Examining Google Cloud Platform's Role in Creating and Managing Generative AI Solutions.
Providing Insights into the Strengths and Considerations of AWS, Azure, and GCP for Implementing Generative AI.
Q&A Session.

Speaker:

Usama Your Senior Technologist and Global Speaker in Enterprise Cloud Technologies. With a robust 15+ years in the Technology Industry, he's a seasoned pro. Repeatedly honored as a Microsoft MVP, he's also been the recipient of the esteemed MI Award for 8 consecutive years, recognized by his peers. Usama brings solutions and training for crafting Enterprise Application Development Architecture, Team Management, Training, Document Management Solutions, and Design Analysis. His expertise spans Software Development Life Cycle, DevOps, MLOps for Data and Business BI Solutions, plus Data Science and the Microsoft Platform Power BI.