NEWS

OutSystems expands AI and ML initiative

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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?

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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

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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

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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

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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

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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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Respondents around the world highlight the immediate need for data to drive decision-making for...
Democratisation of Machine Learning makes operational experts more flexible to improve and predict...
Ordr has released its annual report on the state of connected devices, titled “Rise of the...
Almost half of HR leaders say predictive analytics and machine learning would improve their HR...
New Capgemini report reveals that upskilling programs help fulfil automation’s productivity...
Collaboration speeds up critical functions such as image recognition and inferencing at the edge.
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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