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