The Evaluator
Your go-to blog for insights on AI observability and evaluation.
Showing 411–420 of 458 posts (page 42 of 46)
Arize AI Listed In 2021 Gartner Market Guide for AI Trust, Risk and Security Management (AI TRiSM)
As more and more teams embrace machine learning to streamline their businesses or turn previously impractical technologies into reality, there has been a rising interest in tools that can help bring a model from the research lab into customers’ hands. Google built TFX, Facebook built FBLearner, Uber built Michaelangelo, Airbnb built Bighead, and these systems…
What Are Global, Cohort and Local Model Explainability?
In the last decade, significant technological progress has been driven rapidly by numerous advances in applications of machine learning. Novel ML techniques have revolutionized industries by cracking historically elusive problems in computer vision, natural language processing, robotics, and many others. Today it’s not hyperbolic to say that ML has changed how we work, how we…
Overcoming AI’s Transparency Paradox
Written in collaboration with Reah Miyara, senior product manager at Arize AI AI has a well-documented but poorly understood transparency problem. 51% of business executives report that AI transparency and ethics are important for their business, and not surprisingly, 41% of senior executives state that they have suspended the deployment of an AI tool because…
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The Rise of the Machine Engineer: Alex Zamoshchin from Lyft
Today, companies dedicate significant resources to implementing ML models, only to see a myriad of unexpected performance degradation issues arise when they are deployed. To overcome these challenges, data organizations are increasingly turning to ML engineers to help bridge the gap between the data scientists that build the models and the teams that operationalize them. …
Move Fast Without Breaking Things in ML
Written by Bob Nugman, ML Engineer at Doordash, and Aparna Dhinakaran, CPO of Arize AI. In this piece, Bob and Aparna discuss the importance of reliability engineering for ML initiatives. Machine learning is quickly becoming a key ingredient in emerging products and technologies. This has caused the field to rapidly mature as it attempts to…
Why Best-Of-Breed ML Monitoring and Observability Solutions Are The Way Forward
Contrary to what some believe, the deployment of machine learning models is not the final step in the MLOps process. These models need to be continuously governed, monitored, and observed to manage performance. As machine learning models are constantly retrained with new data and tweaked to improve accuracy, they become more complex. In practice, this…
A Quick Start To Data Quality Monitoring For Machine Learning
Data is quickly becoming the lifeblood of our current technologies enabling companies to build, measure, and improve new experiences for their customers. Today this is not just limited to the technologies on the cutting edge; rather it is becoming exceedingly common across many sectors of business to collect and utilize data. Now with the rise…
Can AI Have Emotional Intelligence?
Dr. Rana el Kaliouby is the author of Girl Decoded and a leading expert on technology and empathy and the ethics of AI. This past June, Affectiva, the company she co-founded, was acquired by Smart Eye. In this virtual sit-down, we set out to learn more about what inspires Dr. el Kaliouby and how new…
A Beginners Guide to AI/ML
As I near my one-year mark in the artificial intelligence and machine learning industry, the once daunting and complex space has indeed remained as such – just with a little more clarity amongst the complexity. AI isn’t a straightforward field to enter, and given its newness, it generally lacks an incredible amount of documentation and…
Unleashing the Power of a Diverse Team to Build More Ethical AI Technologies
In a recent article, WIRED senior writer Tom Simonite talked to Kate Crawford, author of Atlas of AI, to explore the ethical issues facing artificial intelligence and machine learning technologies. “We’re relying on systems that don’t have the sort of safety rails you would expect for something so influential in everyday life,” notes Crawford. “There…
