NEWS

Canonical collaborates with NVIDIA

Enterprises currently face the challenge of how to adopt and integrate AI and ML into their operations effectively, at scale and with minimum complexity. In tandem, today’s AI workloads have become increasingly advanced and the compute power required to support them has exponentially increased.

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NEWS

Deep learning overtakes classic machine learning methods

AI experts at CognitionX and Peltarion release new report on where the value in Deep Learning (DL) lies, and where the trend for Deep Learning is moving, based on insight across industries from AI thought-leaders in Europe.

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NEWS

Simplifying ML model management

Databricks has introduced Model Registry, a new capability within MLflow, an open-source platform for the machine learning (ML) lifecycle created by Databricks. The new component enables a comprehensive model management process by providing data scientists and engineers a central repository to track, share, and collaborate on machine learning models. The Model Registry manages the full lifecycle of models and their stage transitions from experimentation to staging and deployment. Since...

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NEWS

Dropbox: the smart workspace?

Company launches Dropbox Spaces, adds new machine intelligence, collaboration, and admin features.

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NEWS

Infor delivers Coleman AI Platform

Platform helps enterprises fully operationalize AI quickly and is key building block of Infor’s Intelligent CloudSuite.

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NEWS

NVIDIA and VMware partner

Highly scalable, more secure hybrid cloud platform to help enterprises migrate, modernize and deploy next-generation applications.

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Alfresco Software has unveiled the immediate availability of a new Intelligence Services for its...
New Capgemini report reveals that upskilling programs help fulfil automation’s productivity...
AI experts at CognitionX and Peltarion release new report on where the value in Deep Learning (DL)...
Mphasis has announced the availability of new Deep Learning algorithms on Amazon Web Services (AWS)...
DataRobot, the AI Cloud leader, has released a new research report on the state of artificial...
Low-code development leader announces new AI-powered features, executive hires, and partnership...
Latest Video

LinkedIn Automates All of the Easy Things, and Makes all of the Hard Things Easy

Hear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its infrastructure, so that the developers who are rolling out applications have a framework that they can do it within, and they can do it safely. LinkedIn currently generates over 50 terabytes a day of unique metrics on applications. No human is going to look at 50 terabytes a day of data and get anything useful out of it, so LinkedIn relies on systems give them some useful signal out of all that noise. By moving down the road of machine learning, LinkedIn can now do anomaly detection using machine learning models.

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