DevOps Responsible AI Software Engineer 
AWS Machine Learning Blog
MARCH 27, 2024
In software engineering, there is a direct correlation between team performance and building robust, stable applications. Mainframe teams using BMC’s Git-based DevOps platform, AMI DevX ,can collect this data as easily as distributed teams can. Using a Git-based SCM pulls these insight together seamlessly.
Heartbeat
FEBRUARY 29, 2024
After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution.
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AWS Machine Learning Blog
MAY 1, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
AWS Machine Learning Blog
JUNE 25, 2024
As customers look to operationalize these new generative AI applications, they also need prescriptive, out-of-the-box ways to monitor the health and performance of these applications. Shelbee Eigenbrode is a Principal AI and Machine Learning Specialist Solutions Architect at Amazon Web Services (AWS).
AWS Machine Learning Blog
FEBRUARY 1, 2024
She has a diverse background, having worked in many technical disciplines, including software development, agile leadership, and DevOps, and is an advocate for women in tech. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.
AWS Machine Learning Blog
JULY 25, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
ODSC - Open Data Science
JULY 19, 2023
Responsible AI: Though these form part of the regular Azure ML workspace, we now include these components as a step that can be reviewed by a human. This manual step can ensure that the developed model adheres to the responsible AI principles. These include: 1.
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