Sunday, 20th October 2019
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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 introduci...

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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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NEWS

Spherica launches Synaptek, a new Intelligent Automation division

Synaptek is a new Digital Innovation Division dedicated to enabling better ways of working through intelligent automation.

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NEWS

Mphasis launches AI solutions on the AWS Marketplace

Mphasis has announced the availability of new Deep Learning algorithms on Amazon Web Services (AWS) Marketplace for Machine Learning. The on-demand solutions target practical enterprise use cases such as influence analytics, insurance claims analysis, payment card fraud, and image analytics for supply chain and logistics.

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Two thirds of financial services executives say disruptive technologies will have a positive impact...
Databricks has introduced Model Registry, a new capability within MLflow, an open-source platform fo...
Almost 5,000 knowledge workers and business decision makers share their insight on how RPA is changi...
Collaboration speeds up critical functions such as image recognition and inferencing at the edge.
Low-code development leader announces new AI-powered features, executive hires, and partnership with...
Analytics Intelligence partners with Tealium to provide frontline business users with a simple and e...
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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