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

Artificial Intelligence can respond rapidly to ever-changing business demands and status' making it ideal for Active Risk Management.

The power of active risk management

Being able to actively respond to potential or actual risk events in real time is an extremely powerful tool in all aspects of business and industry operations.

By learning from past procedures, operating states and occurrences, including positive events, negative events, and all the in-between variable and unpredictable events that happen during normal operations; spotting and responding to risk events is more informed, impactful, accurate, and more likely to result in a beneficial outcome: e.g. financial gain/ prevention of financial loss, increased efficiency, improved processes, spotting staff and customer unwanted/harmful behaviour, better customer journey mapping and experience, or greater consumer satisfaction through a tailored service.

Importantly, faster, accurate risk event detection and response potentially saves time, cost and other resources in the future.

The more past data, experience, knowledge, events and processes to learn from the more accurate and informed the risk detection and response will be.

AI makes automatic active risk management possible

Learning from past states of play, gained-knowledge and experiences in order to decide whether a risk event has happened 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, mainly due to the large amount of variability involved.

If a traditional software programming approach was used, the computer would continually be asking "if this, then do that; if x and y, do z". This stepwise methodology is limited, inefficient and resource-heavy 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 risk detection systems and processes. You certainly couldn't use this approach for complex and diverse risk-heavy operations on the large scale.

With AI and Machine Learning technology it is now possible to learn from near infinite amounts of variable, constantly changing data in order to spot risk events rapidly and automatically.

ELDR Risk is a powerful Deep Learning package that can help spot risk events based on a highly variable past and complex normal state of play it has learnt from

ELDR Risk is a variant of Fennaio's core AI predictive analytics software - ELDR Predictor. Using our powerful ELDR AI Engine, which is a Deep Learning Artificial Neural Network, ELDR Risk uses Supervised learning to make and link complex relationships from state of play data (of any size or complexity) passed to it.

When ELDR Risk has learnt (trained) from the data, it is then primed to receive current-status data from which to check for risk events in real time.

ELDR Risk is highly dynamic, autonomous, configurable, graphical and easily integrated

Dynamic

ELDR Risk can handle and learn from multiple sources, sizes and complexities of data for numerous risk monitoring requirements simultaneously. Data can be changed at any time and it can continually learn.

Autonomous

By default ELDR Risk 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 Risk 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 Risk 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.