NEWS

OutSystems expands AI and ML initiative

Low-code development leader announces new AI-powered features, executive hires, and partnership with Carnegie Mellon University.

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NEWS

Automate or die?

Automation enables agility, increases speed, and drives top-line revenue while freeing up resources and budgets to focus on more strategic tasks

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NEWS

Turning process insights into action

Celonis has introduced the Celonis Intelligent Business Cloud. The Celonis Intelligent Business Cloud allows organizations to not only see and analyze business processes, but transform their business by mobilizing every employee to change the way they work.

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NEWS

Organizations are only scratching the surface when it comes to automation

New report suggests organizations are missing a huge opportunity in automation by focusing on operational benefits over top-line growth.

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NEWS

Europe embraces emerging technologies

By 2020, nearly 40 percent of European organisations plan to deploy artificial intelligence and blockchain-enabled technologies.

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NEWS

Cloud Technology Solutions eyes growing European market with Qlouder merger

Cloud Technology Solutions (CTS) has merged with application development and machine learning specialist Qlouder in a deal that creates the largest dedicated Google Cloud practice in Europe.

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Highly scalable, more secure hybrid cloud platform to help enterprises migrate, modernize and...
Rolls-Royce Power Systems adopts Iotics’ operating environment and toolset to expand its digital...
89% of businesses see success in majority of automation projects; 25% in every project.
Data science, machine learning, and AI experts highlight the top AI and ML trends they expect to...
First to enable machine learning inference together with unlimited on-orbit reconfiguration for...
Almost 5,000 knowledge workers and business decision makers share their insight on how RPA is...
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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