The Evaluator
Your go-to blog for insights on AI observability and evaluation.
Showing 421–430 of 458 posts (page 43 of 46)
The Rise of the ML Engineer
Just fifty years ago, machine learning was a new idea. Today it’s an integral part of society, helping people do everything from driving cars and finding jobs to getting loans and receiving novel medical treatments. When we think about what the next 50 years of ML will look like, it’s impossible to predict. New, unforseen…
Take My Drift Away
This blog was written in collaboration with Hua Ai, Data Science Manager at Delta Air Lines. In this piece, Hua and Aparna Dhinakaran, CPO and co-founder of Arize AI, discuss how to monitor and troubleshoot model drift. As an ML practitioner, you probably have heard of drift. In this piece, we will dive into what…
Arize AI Is Growing!
Arize AI has grown, and we’re thrilled to welcome our new team members to the Arize AI team! Andy Lu Andy Lu Senior Designer Andy joins the Design Team as a Senior Designer. He was previously a product designer at Chase Bank. “While the opportunity to help build the Arize platform from the ground up…
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Recap: The Man, The Machine, and The Black Box
Arize AI CPO Aparna Dhinakaran recently took the virtual stage at Re-Work. In her presentation, Aparna talked about the growing importance of responsible AI. “Before Arize, I was working on a Ph.D. in Computer Vision, and I began to look at things like ML fairness and how bias got introduced into models. At the time,…
Arize Partners with UbiOps to Accelerate Model Building & Deployment
Written in collaboration with UbiOps. UbiOps and Arize UbiOps is the easy-to-use serving and hosting layer for data science code. UbiOps stands out for its ease of use, freedom to write any code you want while eliminating the need for in-depth IT knowledge. It is a serving, hosting and management layer on top of your…
What is ML Observability?
As more and more teams turn to machine learning to streamline their businesses or turn previously impractical technologies into reality, there has been a rising interest in tools and people who can help bring a model from the research lab into the customer’s hands. Google built TFX, Facebook built FBLearner, Uber built Michaelangelo, Airbnb built…
Beyond Monitoring: The Rise of Observability
By: Aparna Dhinakaran & Barr Moses As data and machine learning ecosystems become increasingly complex and companies ingest more and more data, it’s important that data and ML engineering teams go beyond monitoring to understand the health of their data-driven systems. One duplicate data set or stale model can cause unintended (but severe) consequences that…
If Data Is The New Oil, What’s Happening To Its Precious New Source?
In March 2018, The New York Times reported that researchers had gained access to the data of millions of Facebook users and then misused it for political ads during the 2016 US presidential election. It was one of the most significant data leaks in Facebook’s history. The data, captured by Cambridge Analytica, allowed the consulting firm to exploit the private…
Arize AI Named to Forbes AI 50 List of Most Promising Artificial Intelligence Companies of 2021
We’re thrilled to announce that Arize AI, the leading Machine Learning (ML) Observability company, has been named to the Forbes AI 50, a list of the top private companies using artificial intelligence to transform industries! The Forbes AI 50 list, in its third year, includes a list of private North American companies using artificial intelligence…
Arize AI Partners with Algorithmia to Enable Better MLOps and Observability for Enterprises
Written in collaboration with Ezra Citron, Customer Solutions Consultant at Algorithmia. We’re excited to share that Arize AI and Algorithmia are partnering to help organizations deliver more models to production, maximize their performance, and minimize model risk. From optimizing delivery ETAs to protecting against defaults, modern companies of all sizes and industries understand the value…