machine learning

Cisco AI Network Analytics: Making Networks Smarter and Simpler to Manage

Cisco AI Network Analytics, within Cisco DNA Center, adds another layer of intelligence to intent-based networking, making networks even smarter, simpler to manage, and more secure.

May 2, 2019

SECURITY

The State of Machine Learning in 2019

Here we are, almost four whole months into 2019 and machine learning and artificial intelligence are still hot topics in the security world. Or at least that was the impression...

April 10, 2019

CLOUD

Consistent AI: The Journey Together

The Kubeflow project has made a tremendous progress, and it is awesome to be recognized as Google Cloud Technology Partner of the Year in the Container category for a second year.

March 14, 2019

DATA CENTER

Overcoming Unpredictable AI Data Pipelines

Data pipelines constantly change to accommodate new data sources. Unclear requirements and a dynamic environment are actually essential to development of artificial intelligence and machine learning for a competitive advantage.

February 5, 2019

INNOVATION

Blockchain: Separating Hype from Reality

There is much excitement about the disruptive potential of blockchain technology, but there is also much confusion. This article helps put things into perspective, separating blockchain fact from fiction.

January 23, 2019

CUSTOMER EXPERIENCE

Foresee the Unpredictable at Cisco Live Europe

Cisco brings the power of foresight using machine learning and the power of Business Critical Services. (No superpowers required)

January 17, 2019

DATA CENTER

Scalable Solutions for the AI Data Pipeline: FlashStack for AI

Cisco and Pure Storage have teamed to provide a solution for each of the data pipeline requirements. FlashStack for AI combines the compute scale of the Cisco UCS C480ML M5 with the storage scalability of Pure’s FlashBlade packaged in the FlashStack platform.

January 17, 2019

DATA CENTER

Performance, Scale, and Flexibility for Accelerating AI / ML

Data Scientist charged with the responsibility of mining value out of numerous data sources, often feel that they need ever more speed to do their jobs quickly.  To support them, IT teams are always looking for performance, scale, and flexibility.