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Digital Newsletter
Each week our editor Phil Alsop rounds up the most popular articles, videos and expert opinions. We compile this into a Digital Newsletter and send it straight to your inbox every week.
Digital Magazines
We'll let you know each time a new edition of Data Centre Solutions is released so that you're always kept up-to-date with the latest and greatest news and press releases.
Video Magazines
The Data Centre Solutions Video magazine contains the latest Zoom interviews with experts in the industry.
Announces first commercial availability of key technologies from Project Debater.
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Freshworks acquires AnsweriQ Inc., a provider of ML and AI for larger enterprises that want to better serve their customers
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The interest in adding Artificial Intelligence (AI) and Machine Learning (ML) to business models is fast gaining momentum as organisations look to find patterns within their data that can deliver greater business and customer intelligence, and predict future trends. As Gartner highlights, the number of enterprises implementing AI tripled in the past year. However, with Gartner also claiming that more than 30% of data centres that don’t deploy AI and machine learning won’t be operationally...
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Auto industry plans to make 44% of its factories smart in next five years – but companies must also invest in skills and systems to take full advantage.
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83% of AI decision-makers believe deep learning skills shortage is impacting their business’s ability to compete.
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This article will outline how to master the most common misconceptions surrounding AI and automation so your business can start reaping the many benefits of Robotic Process Automation (RPA). By Alice Henebury, Head of Marketing, Engage Hub.
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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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