Machine Learning Open Source Storage 
TechCrunch
JUNE 1, 2022
MLOps platform Iterative , which announced a $20 million Series A round almost exactly a year ago, today launched MLEM, an open-source git-based machine learning model management and deployment tool. “Having a machine learning model registry is becoming an essential part of the machine learning technology stack.
TechCrunch
NOVEMBER 4, 2022
Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. ” Generating DNA sequences.
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O'Reilly Media - Data
JULY 17, 2018
Although machine learning (ML) can produce fantastic results, using it in practice is complex. At Spark+AI Summit 2018, my team at Databricks introduced MLflow , a new open source project to build an open ML platform. Machine learning workflow challenges. MLflow: An open machine learning platform.
CIO
DECEMBER 20, 2024
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). It includes data collection, refinement, storage, analysis, and delivery. Cloud storage. Cloud computing.
TechCrunch
MAY 18, 2022
Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection.
O'Reilly Media - Data
JULY 23, 2018
Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.
TechCrunch
NOVEMBER 2, 2021
. “[We are] introducing a database for AI, specifically a storage layer that helps to very efficiently store the data and then stream this to machine learning applications or training models to do computer vision, audio processing, NLP (natural language processing) and so on,” Buniatyan explained.
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