Amplify Partners’ Sarah Catanzaro on the evolution of MLOps
Amplify Partners' Sarah Catanzaro discusses the evolution of Machine Learning Operations (MLOps), best practices, trends, and more.
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Real-time Analytics News for Week Ending July 2
In this week's real-time analytics news: Databricks announced new features and enhancements to its offerings at its annual Data + AI Summit.
Supercharging the Data Flowing into Advanced Analytics
Robotic data automation paves the way to the next generation of data integration architecture, which is data fabric and data
SOAR Stands Alone Even When Integrated With Other Apps
The addition of new features is moving SOAR from supporting security operations centers to broader operational use cases including ITOps to DevOps.
Real-time Analytics News for Week Ending June 25
In this week's real-time analytics news: The Linux Foundation announced the new Open Programmable Infrastructure (OPI) Project, a project to promote a …
Is Gato the Generalist AI We’ve Been Waiting For (or Fearing)?
In contrast to specialist AIs, DeepMind based Gato on a transformer neural network architecture, which is similar to a large language
Keeping Models Relevant When Behavior Patterns Change
Customer profiling techniques must learn a customer’s changing preferences and maintain an up-to-date view to continue to make highly relevant decisions as …
Intel Launches Second-Generation Deep Learning Processors
Intel announced the launch of its second generation deep learning processors, which they claim surpass Nvidia's
The Growing Importance of Ethical Data Labeling
For data labeling to be ethical and truly successful, organizations need to ensure that the people behind the tech feel that they are involved in the world …
Charting a New Course of Neural Networks with Transformers
A "transformer model" is a neural network architecture consisting of transformer layers capable of modeling long-range sequential dependencies that are suited …