We are specialists in the practical application of Artificial Intelligence including Big Data Intelligence AI, Machine Learning, Deep Learning and Data Science Software used within Supply Chain processes and operations

AI is capable of analysing and spotting hidden, valuable relationships within vast complex data with extraordinary efficiency.

The power of big data intelligence

Being able to automatically identify patterns within large amounts of data is a powerful tool for many business operations.

By learning, understanding and linking the complex data relationships within the large amount of data generated from e.g. customers, processes, events and unpredictable scenarios, value and benefit can be generated for any future decisions going forward. Real time, tactical and strategical decisions and reactions made due to effective analysis of big data are likely to be more insightful, more meaningful, more accurate, and more likely to result in a beneficial output: e.g. financial gain, increased efficiency, lower risk, improved processes, better customer journey mapping and experience, or greater consumer satisfaction.

Crucially, faster, accurate and targeted decision making resulting from big data intelligence potentially saves time, cost and other resources in the future due to much better understanding of how a business or operation is functioning.

The more past data, experience, events, processes and general intelligence to learn from the more insightful and informed we can make future decisions.

AI makes big data intelligence possible, even from the most diverse and complex data

Learning from past data to make new decisions and responding to different scenarios more appropriately might sound straightforward - it is of course exactly what a human brain does - but making this process automatic and asking a machine to do this is extremely complex and demanding, simply due to the huge amount of variation involved.

If a traditional software programming approach was used, the computer would continually be asking "if this, then learn that; if x and y, learn z". This stepwise methodology is extremely limited and tedious as the program will only do what it has explicitly been told to look for by the programmer; making it next to impossible to account for all possibilities and variations, even in the simplest of data sets. You certainly couldn't use this approach for complex, diverse, large data set scenarios.

With AI and Machine Learning technology it is now possible to learn from huge amounts of variable, constantly changing data in order to gain valuable insight and make much more accurate decisions, automatically.

ELDR Big Data is a powerful Deep Learning package that can understand and link data relationships between diverse big data

ELDR Big Data is built around our powerful ELDR AI Engine, which is a Deep Learning Artificial Neural Network. ELDR Big Data software uses both Supervised and Unsupervised learning to make and link all the relationships from data (of any size or complexity) passed to it.

When ELDR has learnt (trained) from the data, it gives a huge amount of (configurable) graphical display, highlighting the relationships it has found. In it's trained state, it can then be fed test or current data to check for outcomes which can be used in a myriad of ways, depending on what data is sent in, and what outputs are required.

Dynamic

ELDR Big Data can handle and learn from multiple sources, sizes and complexities of data for numerous intelligence requirements simultaneously. Data can be changed at any time and it can continually learn. The software can carry out supervised and unsupervised learning.

Autonomous

By default ELDR is plug and play - you can simply give it appropriately formatted data and it will automatically learn from it, including self optimisation and self scaling.

Configurable

In many cases you may be happy with plug and play, however almost everything in ELDR is configurable; from which data fields to use as inputs and outputs, to colours, displays, output format, learning modes, learning accuracy, all the way through to Artificial Neural Network dynamics and dimensions.

Graphical

ELDR Big Data uses a rich intuitive GUI Dashboard from which to manage the whole AI process (data preparation, learning, outputting and testing), including a comprehensive suite of gamified charts and other visual displays to monitor everything.

Easily Integrated

AI Integration is our speciality. We understand that AI can be used in a variety of ways and in numerous system-types and processes. We build our software to be entirely modular and there are multiple integration methods and points ranging from network-based RESTFulAPI integration to direct coupling at the code level, depending on the response time required, amongst other considerations.