Machine learning may help manage and organize enterprise systems -- with their "highly complex interactions between systems and components, complex data access patterns and relationships." ...

The architecture and the branding reflect two shifts in the market. The first is the move to cloud. While we estimate that only about 25 – 30% of Cloudera's installed base is running workloads ...

As enterprise networking vendors incorporate machine learning, they are adopting similar architectures, reinforcing a change in the way we view the network. Topics Spotlight: AI in Enterprise ...

The integration of AI and cloud technologies in DevOps is growing rapidly. One such trend is edge computing , which moves AI-powered monitoring closer to data sources, thus reducing latency and ...

In the ever-evolving fields of artificial intelligence (AI) and machine learning, where technological progress hinges on innovation, Rishabh Shanbhag has emerged as a transformative force. His ...

Google launches powerful new Cloud TPU machine-learning chips for Google Cloud Platform by Tom Krazit on May 17, 2017 at 10:54 am May 17, 2017 at 12:23 pm Share 23 Tweet Share Reddit Email ...

Colocation provider Equinix has deployed its machine learning operations (MLOps) architecture solution using Google Cloud Platform (GCP). MLOps provide a framework for managing the machine learning ...

Machine learning deals with software systems capable of changing in response to training data. A prominent style of architecture is known as the neural network , a form of so-called deep learning.