metadata – Andrew Fairless, Ph.D.

What I Read: Data, The Land DevOps Forgot

By Andrew Fairless on November 28, 2023October 5, 2023

Data – The Land DevOps Forgot • Michael Nygard • YOW! 2023GOTO ConferencesSep 30, 2023Michael Nygard – General Manager of Data at Nubank & Author of “Release It!” “We willContinue readingWhat I Read: Data, The Land DevOps Forgot

What I Read: Data Engineering 2023 Predictions

By Andrew Fairless on February 20, 2023December 16, 2022

https://www.montecarlodata.com/blog-13-data-engineering-trends-for-2023/ What’s Next for Data Engineering in 2023? 13 PredictionsBarr MosesCEO and Co-founder, Monte Carlo. Proponent of data reliability and action movies.Updated November 29, 2022 “…let’s dive into Tomasz’s predictionsContinue readingWhat I Read: Data Engineering 2023 Predictions

What I Read: data catalogs, metadata

By Andrew Fairless on November 28, 2022October 20, 2022

https://towardsdatascience.com/forrester-changed-the-way-they-think-about-data-catalogs-and-heres-what-you-need-to-know-139e13a5869d?gi=7192c997040d Forrester changed the way they think about data catalogs, and here’s what you need to knowThe latest sign of a major shift in how we think about metadataPrukalpaOct 4Continue readingWhat I Read: data catalogs, metadata

What I Read: Machine Learning Metadata

By Andrew Fairless on October 24, 2022September 9, 2022

https://www.kdnuggets.com/2022/08/machine-learning-metadata-store.html Machine Learning Metadata StoreBy Akruti Acharya, Technical Content WriterAugust 31, 2022 “Storing the metadata would help in retraining the same model and get the same results…. Hence, the needContinue readingWhat I Read: Machine Learning Metadata

What I Read: Building Data Platform

By Andrew Fairless on August 12, 2021July 22, 2021

https://www.montecarlodata.com/the-quick-and-dirty-guide-to-building-your-data-platform/ Updated July 9, 2021The Quick and Dirty Guide to Building Your Data PlatformBarr Moses, Lior Gavish“For most organizations, building a data platform is no longer a nice-to-have but aContinue readingWhat I Read: Building Data Platform

What I Read: Dataset Curation for NLP Projects

By Andrew Fairless on June 15, 2021May 30, 2021

https://www.kdnuggets.com/2021/05/4-tips-dataset-curation-nlp-projects.html 4 Tips for Dataset Curation for NLP ProjectsBy Paul Barba, Chief Scientist, Lexalytics. “After many years of painfully learned lessons from managing and implementing AI and ML projects, I’veContinue readingWhat I Read: Dataset Curation for NLP Projects

What I Read: definitive guide to AI monitoring

By Andrew Fairless on March 7, 2021March 7, 2021

https://towardsdatascience.com/the-definitive-guide-to-ai-monitoring-2427812cc1b?gi=d1344496bc82 The definitive guide to AI monitoringLearning from our work creating production visibility for teams across deep learning and machine learning use casesYotam OrenNov 3, 2020 “AI teams across verticalsContinue readingWhat I Read: definitive guide to AI monitoring

What I Read: MLOps Changing How Machine Learning Models Developed

By Andrew Fairless on February 26, 2021February 18, 2021

https://www.kdnuggets.com/2020/12/mlops-changing-machine-learning-developed.html MLOps Is Changing How Machine Learning Models Are DevelopedBy Henrik Skogstrom, Head of Growth at Valohai “Let’s look at three ways that MLOps changes how machine learning is developed:Continue readingWhat I Read: MLOps Changing How Machine Learning Models Developed

What I Read: Architectures for Modern Data Infrastructure

By Andrew Fairless on February 4, 2021January 10, 2021

https://a16z.com/2020/10/15/the-emerging-architectures-for-modern-data-infrastructure/ Emerging Architectures for Modern Data Infrastructureby Matt Bornstein, Martin Casado, and Jennifer Li “We’re now starting to see the rise of massive, complex systems built around data – whereContinue readingWhat I Read: Architectures for Modern Data Infrastructure

What I Read: Making Netflix’s Data Infrastructure Cost-Effective

By Andrew Fairless on January 11, 2021December 23, 2020

https://netflixtechblog.com/byte-down-making-netflixs-data-infrastructure-cost-effective-fee7b3235032?gi=dda98a1395a9 Byte Down: Making Netflix’s Data Infrastructure Cost-EffectiveNetflix Technology BlogJul 8 · 8 min readBy Torio Risianto, Bhargavi Reddy, Tanvi Sahni, Andrew Park “At many other organizations, an effective wayContinue readingWhat I Read: Making Netflix’s Data Infrastructure Cost-Effective

Tag: metadata