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AI and machine learning - data centres need to differentiate themselves to survive

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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Mastering the misconceptions of AI

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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AI, RPA and ML – the three most powerful acronyms changing the face of financial services

Thanks to their intricate IT architectures and the sheer amount of highly sensitive data involved, the financial and insurance industries are both considered slow when it comes to digital transformation. This has made it problematic for high street banks and insurers to run as fast as the new FinTechs currently stealing market share, such as Monzo and Starling. By Grant Caley, CTO, NetApp UK and Ireland.

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Machine learning and AI are transforming employee workloads for all the right reasons

Advancements in technologies such as machine learning and Artificial Intelligence (AI) are growing in the workplace – to the benefit of employees who are able to work more efficiently and intelligently than ever before. Dr Davide Zilli, Director of Client Services at Mind Foundry, explains how these tools are helping reduce time-consuming tasks, freeing up human expertise to be used where it is most effective.

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Smart Cities: Increasing the Sustainability of Urban Spaces

The effects of climate change are seen on an ever-larger scale and governments are increasingly putting policies in place and setting emission targets in an effort to stop temperatures rising. As highlighted by edie, 70% of the global energy demand is currently used by cities and it is predicted that an additional 2.5 billion people will be living in cities by 2050. Looking at these statistics, solutions to decrease the environmental impact of cities while improving the quality of life for...

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Botnets and machine learning: a story of “hide and seek”

Malware authors have always been trying to update their software and evolve their techniques in order to take advantage of new technologies and bypass security measures. By Leonidas Plagakis, Security Engineer, RiverSafe.

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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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