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Machine Learning

Proservartner can help you navigate this exciting element of artificial intelligence to quickly apply and gain benefit for your business.

Machine Learning

Machine Learning focuses on the development of computer programs that can access data and use it to learn for themselves. It uses algorithms to analyse large amounts of information, identify patterns and learn from this data to become more effective at a given task. We can help you to unlock the benefits across your processes including analysis and decision making using large amounts of unstructured data. We can also build and deploy Machine Learning tools which process natural language with pre-built scripts, evaluate sentiment and learn how to recognise what users want.

Decision making

Because it can access, analyse and learn from huge amounts of data, machine learning is now able to surface recommendations for informed and efficient decision-making within a process. We can help you use this technology to guide better business decisions and more intelligent courses of action with minimal human intervention. Adding Bing Search APIs to your application, for example, can allow you to to comb billions of webpages, images, videos, and news with a single API call.

AI Fabric

One of the tools we use to allow our clients to get the most from Machine Learning is AI Fabric from UiPath. AI Fabric allows you to deploy and manage Machine Learning models and link them into an RPA workflow. This allows for a higher degree of complexity within the automated process. For example, AI Fabric could extract critical information from millions of non-standard invoices to input it into an Accounts Payable system. It can also instantly solve customer service requests by understanding natural language from voice and text inputs.

case study shared services

Our pragmatic phased delivery approach meant that an ambitious roll-out plan achieved significant cost savings of around £1.5 million per year.

Read our case study

"If you've automated and are wondering what the next step is then get in touch with our friendly team."

George, Partner Manager

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