The Evaluator
Your go-to blog for insights on AI observability and evaluation.
Showing 441–450 of 458 posts (page 45 of 46)
ML Infrastructure Tools — ML Observability
The ML Observability platform allows teams to analyze model degradation and to root cause any issues that arise. This ability to diagnose the root cause of a model’s issues, by connecting points across validation and production, is what differentiates model observability from traditional model monitoring. While model monitoring consists of setting up alerts on key…
Welcome to Arize, Mikyo!
We’re excited to introduce Mikel King (aka Mikyo), our newest Arizer! Mikyo will be joining our rockstar engineering team. Mikyo was most recently a part of the founding team at Engine ML where he worked on distributed training infrastructure for deep learning. Before that, Mikyo worked at Apple Inc. as a Senior Engineer. Mikyo graduated…
Women In AI To Watch
It’s been a strange year, to say the least. Despite the total chaos, it’s a critical and exhilarating time to work in Artificial Intelligence. Whether you want to identify election fraud, understand climate change, or improve health care, machine learning is innovating all industries. The global machine learning market is projected to grow from $7.3B…
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Arize AI Selected For insideBIGDATA’s Impact 50 List
BERKELEY, Calif., Oct. 28, 2020 /PRNewswire/ — Arize AI, We’re excited to announce that Arize AI is selected for insideBigData’s Impact 50 list in Q4 2020. Companies on the list exhibit technology leadership, strength of offering, proven innovation, positivity of message, quality perception in the enterprise, intensity and frequency of social media buzz, high profile of members of the C-suite,…
Arize AI Wins 2020 AI TechAward for Enterprise AI
BERKELEY, Calif., Oct. 21, 2020 /PRNewswire/ — Arize AI, We’re excited to announce that Arize AI has won an 2020 AI TechAward in the category: Enterprise AI. The 2020 AI Tech Awards celebrates technical innovation, adoption and reception in the AI, Machine Learning & Data Science industry and by the developer community. The 2020 AI TechAwards will be presented at the 2020 AI…
Using Statistical Distance Metrics for Machine Learning Observability
Statistical Distances are used to quantify the distance between two distributions and are extremely useful in ML observability. This blog post will go into statistical distance measures and how they are used to detect common machine learning model failure modes. Data problems in Machine Learning can come in a wide varietythat range from sudden data…
Arize AI and Paperspace Announce a Partnership to Bring Deep ML Observability Solutions to Data Science Teams
Arize and Paperspace are pleased to announce a partnership available to Paperspace platform customers. A simple pre-tested integration that is easy to set up, is now available to Paperspace users. Paperspace customers will have priority access to the Arize platform available for model monitoring, troubleshooting and explainability. The integration allows, with a few lines of…
Welcome to Arize, Nate!
We’re excited to introduce Nate Mar, our newest Arizer! Nate will be joining our rockstar engineering team. Nate was most recently at PagerDuty where he worked on ML infrastructure, ML and incident management products, and alert notification pipelines. ML fairness and transparency is near and dear to Nate’s work. In his own words: “I’m excited…
ML Infrastructure Tools for Production: Part 2 — Model Deployment and Serving
Businesses in almost every industry are adopting Machine Learning (ML) technology. Businesses look towards ML Infrastructure platforms to help them best leverage artificial intelligence (AI). Understanding the various platforms and offerings can be a challenge. The ML Infrastructure space is crowded, confusing, and complex. There are a number of platforms and tools, which each have…
Arize AI Named TiE50 Award Winner at TiEcon
Arize AI, the first-to-market ML Observability Platform, is excited to announce that it has been selected as a 2020 TiE50 Winner in the prestigious TiE50 Awards Program. This ten year old awards competition is a program of TiEcon, the world’s largest conference for tech entrepreneurs. Arize AI was recognized for its innovative platform to troubleshoot,…
