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AI systems can constantly learn anything thrown at them, with the aim that they continually adapt and provide on-demand useful output.
Being able to continually learn from live processes, events and operations in real time is an extremely powerful tool in all aspects of business and industry operations.
By learning from things as soon as they happen, including positive events, negative events, and all the in-between highly variable outlying and unpredictable events; immediate responses, decisions and reactions are 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, a faster, accurate decision based on real time learning potentially saves time, cost and other resources in the future.
The more real time data, experience and events to learn from the more insightful and informed we can make our predictions, reactions and downstream decisions.
Learning from immediate events and responding to a situation that's immediately presented to us 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 do that; if x and y, do 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 tasks and events. You certainly couldn't use this approach for complex and diverse scenarios.
With AI and Machine Learning technology it is now possible to learn from huge amounts of variable, constantly changing data in real time in order to make much more accurate decisions, automatically.
ELDR Real Timer is Fennaio's core Real Time Learning and Response software. Using our powerful ELDR AI Engine, which is a Deep Learning Artificial Neural Network, the software uses both Supervised and Unsupervised learning to make and link all the relationships from real time data (of any size or complexity) passed to it.
ELDR Real Time automatically manages the transition between learning and responding - it in fact exists in two states - that combined means the AI is always learning but always able to respond using the most current trained state.
Real Time can be utilised in all our AI ELDR packages (which normally train from batch data as standard) as a bolt-on module.
ELDR Real Time can handle and learn from multiple sources, sizes and complexities of data for numerous learn and response 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 Real Time 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 Real Time 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 Real Time 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 Real Time Learning software for the Climate Change 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 Climate Change sector to get you up and running with Real Time Learning AI and Machine Learning in your new or existing systems, software and operations.
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