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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NEWS

Customer experience is now the top priority for quality assurance

Capgemini's World Quality Report 2018 shows that customer experience is the top priority for quality assurance activities for the very first time, with automation and AI set to accelerate in the coming years.

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NEWS

AI and related technologies could create around 90 million more jobs in China

Around 26% of existing jobs in China could be automated over the next 20 years, but this is projected to be more than offset by job creation of 38%, giving an estimated net gain of 12%.

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Democratisation of Machine Learning makes operational experts more flexible to improve and predict...
Synaptek is a new Digital Innovation Division dedicated to enabling better ways of working through...
Announces first commercial availability of key technologies from Project Debater.
Amazon HealthLake enables healthcare organisations to store, transform, and query health data in...
International Data Corporation (IDC)has publishd its worldwide information technology (IT) industry...
New innovations and integrated offering provide organizations Alteryx automated analytics and...
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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