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Read our latest blog articles to see what Logical Glue has been working on and events we have visited.

Posted by Bianca Huttner
on 20 July 2017

Welcome to our blog series on the Insurance industry, Artificial Intelligence and Machine Learning. This series will discuss the challenges and opportunities faced by Insurance providers and how Artificial Intelligence (AI) and Machine Learning can make processes faster, more effective and more accurate than current predictive models, ultimately increasing profitability for Insurance providers.

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Posted by Richard Burdge
on 14 October 2016

When predictive data analytics originally emerged at the beginning of the millennium, only large companies, primarily in the telecoms and finance sector, were able to incorporate predictive analytics tools into their business processes.

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Posted by Jon Rimmer
on 15 February 2016

Last week Logical Glue presented at FinovateEurope 2016. The Finovate conferences showcase the latest developments in financial technology, attracting attendees ranging from the newest startups to established players in the market.

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Posted by Jon Rimmer
on 22 December 2015

The word “algorithm”, meaning a precise series of operations carried out to solve a problem, derives from the Latin translation of the name of the medieval Persian mathematician al-Khwārizmī.

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Posted by Jon Rimmer
on 8 December 2015

There is a growing recognition that Machine Learning has a significant role to play in a wide range of applications including data mining, natural language processing, traffic flow optimisation and predictive analytics.

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Posted by Jon Rimmer
on 25 November 2015

In recent years, a great deal of attention—and a fair amount of hype—has surrounded the resurgence of neural networks, particularly those using a “deep learning” approach, in the field of artificial intelligence and machine learning. 

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Posted by Jon Rimmer
on 23 October 2015

Logical Glue's mission is to bridge the gap between data science and business. An important part of that is fostering better communication and mutual understanding between data scientists and business experts.

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