The Evaluator
Your go-to blog for insights on AI observability and evaluation.
Showing 351–360 of 458 posts (page 36 of 46)
The Next Generation of Machine Learning Monitoring
We are excited to announce the next evolution of machine learning (ML) monitoring to help teams scale their ML needs with increased automation, customizability, and flexibility. Evolving Monitoring for Evolving ML Needs It’s no secret that AI technology is rapidly evolving and maturing with a wider adoption across all industries. With companies like Home Depot…
Ray + Arize: Productionize ML for Scale and Usability
Want to dive right in? Sign up for your free Arize account and learn more about Arize’s integration with Ray in our docs. If you’ve ever had the opportunity to bring a machine learning project to life from rapid prototyping all the way into production, you know that it is nothing short of yeoman’s work….
Four Crisis-Tested Lessons For Leading Effective ML Teams
Arize AI and Vectice, an AI assets management and documentation platform, recently co-hosted an event featuring the “Voices of ML Leaders.” At the meetup in San Francisco, speakers from Kohl’s and Microsoft discussed best practices for talent acquisition, talent retention, aligning AI initiatives across business units, and building trust between teams. Miss the action? Here…
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Machine Learning at the Forefront of Telemental Health
Michael Stefferson received his PhD in Physics from the University of Colorado before deciding to make the jump into machine learning (ML). He spent the last several years as a Machine Learning Engineer at Manifold, where he first started working on projects in the healthcare industry. Recently, Stefferson joined the team at Cerebral as a…
Why Machine Learning In Ad Tech Is Ready For Liftoff
Yunshi Zhao is a Machine Learning Engineer at Liftoff, a mobile app optimization platform for marketing and monetizing apps at scale. Her responsibilities range from researching and training models to deployment and monitoring models in production. She is also part of the diversity, equity, and inclusion (DEI) committee at Liftoff, focusing on representation in engineering….
Introducing Claire Longo, Arize’s New Customer Success Lead
Arize AI is currently hiring over ten positions. Join us! Claire Longo is Arize’s new Customer Success Lead. Before joining Arize, Longo helped lead ML engineering and data science teams at both Opendoor and Twilio. She is based in Denver, Colorado. Can you briefly introduce yourself and share your career background? I’m a data scientist…
Three Pitfalls To Avoid With Embeddings
Introduction Let’s say that you have read a very helpful post demystifying embeddings and you’re really excited. Your social media company can certainly use them, so you fire up your notebook and start typing away. As the clock ticks, excitement turns to frustration and you wonder: how do people even do this? There are a…
Introducing Suresh Vadakath, Arize’s Senior Solutions Architect
Arize AI is currently hiring over ten positions. Join us! Suresh Vadakath is a Senior Solutions Architect at Arize. He brings over a decade of experience spanning both consulting and technical client-facing roles, including at Dataiku, DataRobot, and Alteryx. Suresh lives in New York City. Can you introduce yourself and share your career background? I…
SNE vs. t-SNE vs. UMAP: An Evolutionary Guide
Introduction According to multiple estimates, 80% of data generated by businesses today is unstructured data such as text, images, or audio. This data has enormous potential for machine learning applications, but there is some work to be done before it can be used directly. Feature extraction helps extract information from the raw data into embeddings….
From Physicist to Machine Learning Engineer
Justin Chen received his PhD in Physics from Rice University before deciding to make the jump from academia to machine learning. He spent the last few years as a Machine Learning Engineer at Manifold, building and deploying end-to-end ML and data pipelines from the ground up. He recently transitioned to Google, where he is currently…
