Watch the webinar

This webinar explores the challenge of maintaining an efficient feedback loop for updating machine learning (ML) models, which is often perceived as laborious and challenging. We will discuss the integration of machine learning operations (MLOps) technology with Amazon Web Services (AWS) data systems, known as "disappearing" MLOps. By seamlessly integrating with the Striveworks Chariot platform, AWS customers can now leverage existing production data systems to achieve further scalability and operational improvement.

AWS offers a comprehensive suite of extract, transform, and load (ETL) tools for effortless integration. The increasing demand for foundational artificial intelligence (AI) and ML models, coupled with customized retraining and optimization for client-specific applications, necessitates this shift.

Watch to discover how the Striveworks Chariot platform, combined with AWS, allows data science teams to seamlessly integrate model retraining and monitoring into existing production systems, eliminating the slowdowns caused by ongoing updates and maintenance in the model development cycle. We will also delve into how this approach enables robust, enterprise-scale data governance and privacy.


Learning objectives

  • Explore an innovative, integrated, and automated business model for MLOps.
  • Understand the benefits of deep integration between the MLOps process and production data systems.
  • Discover the distinctive capabilities offered by Striveworks to empower data analytic teams.


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Webinar Speakers

Fazal Mohammed

Principal SA, US Fed Partners, AWS

Fazal possesses over 25 years of technical and management expertise. He has led numerous complex enterprise architectures for various Federal Civilian Agencies and DoD branches, delivering successful projects that involve implementing IT strategy, architecture, implementation, and operations management. Currently, he provides thought leadership on strategy and leads modernization efforts in the federal partners group at AWS. 

James Rebesco, PhD

Founder, CEO, Board of Directors, Striveworks

Dr. Jim Rebesco is CEO and a co-founder of Striveworks, an artificial intelligence company focused on the deployment of AI/ML models at scale. Prior to founding Striveworks, Dr. Rebesco worked at Virtu Financial, a leading electronic market-making firm, where he led trading and data science teams as a partner in the firm. Dr. Rebesco has been engaged with the Federal Reserve Board, elements within the Department of Defense, the United States Military Academy, and others as a recognized subject matter expert in both AI and its applications to various industries, including finance and national defense. Dr. Rebesco earned his B.S. in Physics from the California Institute of Technology and his PhD in computational neuroscience from Northwestern University.

James Skelton

Product Manager, Maxar Technologies

James ‘Jimbob’ Skelton is the Product Manager for Integrated Analytics, which includes Maxar’s maritime monitoring capability Crow’s Nest. Jimbob has been with the company for 11 years, mostly supporting onsite special operations requirements before transitioning into the corporate product management role. Before becoming the product manager for Crow’s Nest, Jimbob gained considerable experience utilizing the capability to address maritime mission requirements for various Maxar customers.