The Evaluator
Your go-to blog for insights on AI observability and evaluation.
Showing 381–390 of 458 posts (page 39 of 46)
Your Data Science Workflows Are About To Get A Lot More Scalable
Doris Lee is the CEO and co-founder of Ponder, which recently closed a $7 million seed round led by Lightspeed Venture Partners with participation from Intel Capital, 8VC, and The House Fund. The company, which promises to solve usability challenges with data science tools at scale, is already achieving momentum in-market due in no small…
Understanding Bias in Machine Learning Models
High accuracy doesn’t necessarily mean the model is stable and learning accurately. If you are an ML practitioner or aspiring data scientist, you have heard of the term Model Bias a lot. Model bias is one of the core concepts of the machine learning and data science foundation. One of the most challenging problems faced…
Rise of the ML Engineer: Flávio Clésio, Artsy
Flávio Clésio is a Berlin-based data and machine learning (ML) engineer. One of the earliest members of a popular community for machine learning operations (MLOps) professionals, Clésio has seen a lot since entering the world of AI nearly a decade ago. Currently, he works at Artsy deploying and maintaining models that – among other things…
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ML Troubleshooting Is Too Hard Today (But It Doesn’t Have To Be That Way)
As ML practitioners deploy more models into production, the stakes for model performance are higher than ever – and the mistakes costlier. It’s well past time for teams to shift to a modern approach to ML troubleshooting. In this content series, we will dive into the evolution of ML teams go through - from no…
On AI Ethics: Wendy Foster, Director of Engineering and Data Science at Shopify
Shopify, a leading provider of essential internet infrastructure for commerce, is relied on by millions of merchants worldwide to market and grow their retail businesses. This past Black Friday and Cyber Monday weekend alone, Shopify merchants achieved a record-breaking $6.3 billion in sales. Wendy Foster, Shopify’s Director of Engineering and Data Science, leads the charge…
Three Takeaways From Our Survey Of Top ML Teams
This blog highlights findings from Arize AI’s recent survey of ML teams. To see the full results, download a copy of the report. Compared to DevOps or data engineering, MLOps is still relatively young as a practice despite tremendous growth. While it’s tempting to draw parallels to DevOps in particular since some of its best…
When I Drift, You Drift, We Drift
In the latest edition of “The Slice,” a blog series from Arize that explains the essence of ML concepts in a digestible question-and-answer format, we dive into different types of drift – including concept drift vs data drift. When data science and engineering teams take a machine learning model from research to production, it is…
Shelf Engine’s CEO On Disruptive Innovation Without Disruptive Adoption and the AI-Driven Future of Grocery Retail
Stefan Kalb is on a mission to eliminate food waste and revolutionize the grocery business. Shelf Engine – the company he co-founded and leads as CEO – has notched an impressive track record since its founding in 2016, diverting over 4.5 million pounds of food waste from landfills and helping some of the largest retail…
Introducing Aman Khan, Arize’s Newest Product Manager
Arize is currently hiring over ten positions. Join us! Aman Khan is the latest addition to Arize’s growing product team. Responsible for helping to drive product development of Arize’s rapidly-growing ML observability platform, Aman brings a wealth of experience to the task from prior roles pioneering ML infrastructure and tooling at Cruise and Spotify. How…
What Is AUC?
In the latest edition of “The Slice,” a blog series from Arize that explains the essence of ML concepts in a digestible question-and-answer format, we dive into how to calculate AUC – and where it’s most useful. Want to see AUC in the Arize platform? Sign up for a free account. Introduction: What Is the…
