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AI is capable of analysing and spotting hidden, valuable relationships within vast complex data with extraordinary efficiency.
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.
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 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.
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.
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.
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.
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.
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.
As well as Big Data Intelligence software for the Finance industry, we provide a comprehensive set of other Artificial Intelligence, Machine Learning, Deep Learning and Data Science software:
Whether you are starting out on your first AI project, just interested in the possibilities of AI or are wanting to expand your existing AI suite, we are here to help.
We will discuss with you where you are, where you want to be, and how we can achieve it with AI - whether by a bespoke solution or using one of our off-the-shelf products
We will work with you to gather, analyse and prepare all your relevant data sources for use in the AI system(s)
We will run and tune the AI throughout the AI learning process and enable the AI to produce a real time visual output to confirm the AI is producing beneficial results
When you are satisfied the AI is delivering the results you desire, we will integrate the AI with your new or existing systems
Fennaio has the expertise in the Finance sector to get you up and running with Big Data Intelligence AI and Machine Learning in your new or existing systems, software and operations.Get Started