Galileo, a startup launching a platform for AI model development, today announced that it raised $18 million in a Series A round led by Battery Ventures with participation from The […]
MLOps
Trending topics and news from the MLOps category
Back to news homeTecton raises $100M, proving that the MLOps market is still hot
Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. e-commerce […]
Arrikto expands it MLOps platform with Kubeflow as a Service
Arrikto’s mission is to enable data scientists to build and deploy their machine learning models faster. The company, which raised a $10 million Series A round in late 2020, is […]
Investors flock to fund an AI cornerstone: Feature stores
“Feature stores,” with their dreary and opaque moniker, might not sound like the sexiest subject. But they’re an essential part of the AI systems that enterprises — and consumers, for […]
Investors: Up your ante at the iMerit ML DataOps Summit 2021
The “oil bidness,” as they say in Texas, is so 20th century. Data, artificial intelligence and machine learning are the power triad fueling the future. If you’re an investor placing […]
A look at some of the AI and ML expert speakers at the iMerit ML DataOps Summit
Calling all data devotees, machine-learning mavens and arbiters of AI. Clear your calendar to make room for the iMerit ML DataOps Summit on December 2, 2021. Join and engage with […]
Machine Learning Trends To Impact Business In 2021-2022
Illustration: © IoT For AllLike many other revolutionary technologies of the modern day, machine learning was once science fiction. However, its applications in real world industries are only limited by […]
Experiences in ML Scaling, ML Project Delivery in Healthcare
mind map with questions, decision tree or brainstorming concept presented with sticky notes and white chalk on blackboard By John P Desmond, AI Trend Editor Experiences with AI and machine learning […]