In this short webinar watch how we help leading Investment Managers, Banks, Brokers, Asset Managers and Hedge Funds supercharge their existing investment approaches with Big Data, Semantics and Machine Learning.
Director James Phare talks about how we use machine learning algorithms, semantics and other techniques to process huge volumes of unstructured, semi structured and structured data in order to identify hidden risks and opportunities.
Added by Zygimantas Jacikevicius on November 30, 2015 at 5:30am — No Comments
Businesses these days rely heavily on data to make important decisions on a day-to-day basis. The flow of correct and consistent data is of great importance for business users to make quick and well informed decisions. The flow and relationships of data need to be defined and structured to ensure best results. This process is called Data Modelling. To avoid human error and speed up the process specialised software is used to help with building a logical data model, a physical data…Continue
Hadoop is the leading open-source software framework developed for scalable, reliable and distributed computing. With the world producing data in the zettabyte range there is a growing need for cheap, scalable, reliable and fast computing to process and make sense of all of this data. The underlying technology for Hadoop framework was created by Google as there…Continue
Data visualisation is the process of displaying data in visual formats such as charts, graphs or maps. This method is commonly used to grasp more meaning out of a snapshot of data which in other approaches might require sorting through piles of spreadsheets and great quantity of reports. With the amount of data growing rapidly it is more important than ever to interpret all of this information correctly and quickly to make well-informed business decisions.
Graph visualisation has a…Continue
Sophisticated modern businesses like banks and insurers are data rich. Data is fundamental to their business effectiveness and efficiency.
However, data is not just relevant to the business processes that create it. Many classes of data are essential outside of their main business purpose. This may be for internal reporting and analysis, for use by…Continue