Published May 5, 2022

E33: Evidently AI and Open Source Machine Learning Monitoring

Explore how Evidently AI leverages open source tools to revolutionize machine learning monitoring, with insights from co-founder Elena Samuylova on community-building and integrating user feedback, influenced by their Y Combinator experience and vibrant online community.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Open Source Startup Podcast

E33: Evidently AI and Open Source Machine Learning Monitoring

Topics covered

Popular Clips

Monitoring Model Lifecycles

Machine Learning Insights

Building Community on Discord

Navigating ML Observability

Building Community Insights

Open Source Journey

User Onboarding Insights

Community-Driven Development

Content Creation Insights

Boring Problems, Engaging Solutions

Evolving ML Ecosystem

Content as a Flywheel

Launching Open Source

E-commerce Data Strategies

Episode Highlights

Community Building

Open Source Strategy

Machine Learning Monitoring

Related Episodes

E130: Orchestrating AI Workloads with Union AI

E115: End-to-End AI Lifecycle Management with ClearML

E93: Making Open Source Foundation Models a Reality with Lambda

E88: Open Source Foundation Models for Generative AI

E117: Taking on Datadog with Open Source Observability

E99: Developing AI Agents with Generally Intelligent

E160: Open Source Secrets Management with Infisical

E148: Software Refactoring in the Age of AI

E19: Hugging Face & the Open-Source AI Community

E26: Cube.dev - Open Source Headless BI for Building Data Apps

E141: Building Companies on Open Source Standards - from Hortonworks to Mydecisive.ai

E1: From Open Source at InfluxData to Closed Source at EraDB

E149: One AI Agent to Rule Them All?

E37: SeMI & Open-Source AI-Based Database Technology

E77: Simplify Your ML Infrastructure With Aqueduct

E33: Evidently AI and Open Source Machine Learning Monitoring

Topics covered

Popular Clips

Episode Highlights

Community BuildingEvidently AI leverages Discord to build a vibrant community, focusing on genuine engagement and content creation. Community feedback is integral to their development, guiding feature enhancements and ensuring user-centric growth.

Community Building

Open Source StrategyEvidently AI's open-source strategy is rooted in addressing the challenges of machine learning monitoring and fostering community engagement. Elena Samuylova shares how the Y Combinator community influenced their approach, emphasizing rapid iteration and user feedback.

Open Source Strategy

Machine Learning MonitoringElena Samuylova, co-founder of Evidently AI, discusses the challenges and innovations in monitoring machine learning models. She highlights the importance of open-source tools and Evidently's strategies for integrating ML monitoring into broader systems.

Machine Learning Monitoring

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