all AI news
Towards Observability for ML Pipelines // Shreya Shankar // MLOps Coffee Sessions #75
Jan. 21, 2022, 3 p.m. | Demetrios Brinkmann
MLOps.community mlops.community
MLOps Coffee Sessions #75 with Shreya Shankar, Towards Observability for ML Pipelines.
// Abstract
Software organizations are increasingly incorporating machine learning into their product offerings, driving a need for new data management tools. Many of these tools facilitate the initial development and deployment of ML applications, contributing to a crowded landscape of disconnected solutions targeted at different stages, or components, of the ML lifecycle. A lack of end-to-end ML pipeline visibility makes it hard to address any issues that may …
More from mlops.community / MLOps.community
Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237
2 days, 10 hours ago |
mlops.community
What is AI Quality? // Mohamed Elgendy // MLOps Podcast #228
4 weeks, 2 days ago |
mlops.community
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
@ HelloBetter | Remote
Doctoral Researcher (m/f/div) in Automated Processing of Bioimages
@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena
Seeking Developers and Engineers for AI T-Shirt Generator Project
@ Chevon Hicks | Remote
Senior Applied Data Scientist
@ dunnhumby | London
Principal Data Architect - Azure & Big Data
@ MGM Resorts International | Home Office - US, NV