Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning
We put technology at the heart of the solution and recognise that machines can perform some activities significantly cheaper, faster, and more effectively than people can. We help change underlying processes to support the new operating model.
Our Machine-Learning engineers craft AI solutions using supervised, unsupervised and reinforcement learning to help you optimise your processes and enhance your products. Recommendation systems, credit scoring or opinion mining are just examples of what is available.
Our focus is on applying artificial intelligence to real applications in the business world. It is not enough to revel only in the technology itself. Instead, we are interested in how it can change processes and functionality for the good of an organisation. In terms of business intelligence, it clearly points to the ability to gain a competitive edge. One of the approaches by which AI is achieved is machine learning (ML); ML is a set of techniques and tools that allow computers to ‘think’ by creating mathematical algorithms based on accumulated data.
Big Data can be regarded as an asset that is difficult to exploit. AI can be seen as the key to unlocking the value of Big Data; and machine learning is one of the technical mechanisms that underpins and facilitates AI.
The development of AI technologies opens up the opportunity to use them not only for conventional applications (expert systems, intelligent databases, technical diagnostics etc.), but also for total automation of mechanical manufacturing. Such AI methods as adaptive critic design, adaptive fuzzy Petri networks, and neural network-based computer vision systems, have been used to solve the automation problems
Using design thinking to optimise outcomes delivered by AI through “golden paths”, businesses can follow a portfolio approach to transformation that will achieve better value. This leads to faster user adoption, the confidence to change and enforce policies to drive fewer exceptions, and enhances the benefits of the transformation.
Digital Notation has a range of AI solutions to fit your business needs
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Each of these elements is separate from the others and is backed by various methods and technologies. Most importantly, each is rapidly evolving and is developing its own marketplace...
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Affective computing, Artificial immune systems, Chatterbot, Cognitive architecture, Computer vision, Evolutionary computing, Gaming AI, Human-Computer-Interface...
Learn moreBig Data, AI and Machine Learning
Big Data is a data collection characterised by huge volumes, rapid velocity, and great variety. The magnitude of the huge volumes can be characterised by saying ...
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