Aparna Dhinakaran
Aparna Dhinakaran is the Co-Founder and Chief Product Officer at Arize AI, a pioneer and early leader in AI & Agent observability and evaluation. A frequent speaker at top conferences and thought leader in the space, Dhinakaran was recently named to the Forbes 30 Under 30. Before Arize, Dhinakaran was an ML engineer and leader at Uber, Apple, and TubeMogul (acquired by Adobe). During her time at Uber, she built several core ML Infrastructure platforms, including Michealangelo. She has a bachelor’s from Berkeley's Electrical Engineering and Computer Science program, where she published research with Berkeley's AI Research group. She is on a leave of absence from the Computer Vision Ph.D. program at Cornell University.
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AI ObservabilityIntroducing ML Performance Tracing ✨
To see how Arize can help you enable ML performance tracing, signup for an account or request a demo. In part one of this content series, we covered… Aparna Dhinakaran March 29, 2022 1 min read -
AI Observability
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… Aparna Dhinakaran February 24, 2022 10 min read -
AI EngineeringThree 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… Aparna Dhinakaran February 2, 2022 5 min read -
AI EngineeringWhat Every Enterprise Can Do To Ensure The Long-Term Success and Sustainability of AI Initiatives
To see how Arize can help your organization accomplish the goals set out in this piece, request a trial. Today, nearly any company – even enterprises with large… Aparna Dhinakaran January 13, 2022 6 min read -
AI EngineeringFive Predictions for AI In 2022
To learn more about how Arize can help you better navigate 2022, view a demo or request a trial. AI is a game of predictions. Every day, machine… Aparna Dhinakaran December 23, 2021 4 min read -
AI ObservabilityFeast and Arize Supercharge Feature Management and Model Monitoring for MLOps
Arize AI and Feast partner to enhance the ML model lifecycle. Empower online/offline feature transformation and serving through Feast’s feature store and detect and resolve data inconsistencies through… Aparna Dhinakaran November 9, 2021 10 min read -
AI ObservabilityTwo Essentials for ML Service-Level Performance Monitoring
Over the last decade, a wave of renewed interest in machine learning has encouraged countless researchers to attempt to solve problems with state of the art machine learning… Aparna Dhinakaran October 6, 2021 1 min read -
AI ObservabilityWhat 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… Aparna Dhinakaran September 21, 2021 1 min read -
AI EngineeringThe 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,… Aparna Dhinakaran September 9, 2021 3 min read -
AI EngineeringMove 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… Aparna Dhinakaran August 20, 2021 1 min read
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Arize gives AI teams observability and evals to understand and improve agent performance.
