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Grow your business with AI and NLP

Harmonising Unstructured Text Data with NLP in Psychology  (Harmony project)
Ai in research

Harmonising Unstructured Text Data with NLP in Psychology (Harmony project)

We have been developing a tool using Natural Language Processing which is designed to help researchers in the social sciences to harmonise datasets from different contexts. This is part of a wider project called Harmony which is part of an entry we are making to the Wellcome Mental Health Data Prize, together with the Centre for Longitudinal Studies at UCL, Ulster University and Universidade Federal de Santa Maria in Brazil.

Harmonising mental health data
Ai in research

Harmonising mental health data

We excited to announce that we are working on a new AI research project called Harmony for the Wellcome Trust Mental Health Data Prize - this uses natural language processing to combine data in the social sciences from different questionnaires, such as the GAD-7 and Beck’s Anxiety Inventory, even when the questionnaires are in different languages!

What do Data Consulting Companies Do?
Data science consulting

What do Data Consulting Companies Do?

Whether you’re a small business owner or a C-suite executive within a more prominent firm, you’re interested in seeing your business grow. Since 2008, companies have taken a keen interest in “Big Data”. But as data becomes more relevant by the day, many managers still wonder what data consultants do.

What is an NLP expert?
Data science consulting

What is an NLP expert?

Before we answer one of the most commonly searched questions on Google – “What is an NLP expert?” – we ought to understand what NLP is.

AI for legal reasoning
Legal ai

AI for legal reasoning

Can symbolic AI, or machine learning, or hybrid AI (a mixture of the two), be used for legal reasoning? I have been looking into the problem of legal reasoning with AI. Legal reasoning is the process of coming to a legal decision using factual information and information about the law, and it is one of the difficult problems within legal AI. While ML models and other practical applications of data science are the eaiser parts of AI strategy consulting, legal reasoning is a lot more tricky.

The Use of AI in Healthcare
Ai in healthcare

The Use of AI in Healthcare

How AI and machine learning are transforming healthcare. The use of Artificial Intelligence (AI) in the healthcare field is already expanding monumentally, showing its application in many subsets and providing benefits to companies, physicians, and patients alike. Not only does AI use in the healthcare field allow for a transformation in patient care, but it also helps the provider, payer, and pharmaceutical companies increase organisation and productivity.

What is NLP used for?
Natural language processing

What is NLP used for?

Natural language processing or NLP is the area of artificial intelligence to do with analysing human language. Natural language processing is an emerging field with a huge number of business applications. Large companies which have their own data science team often do not have NLP specialists in-house and may need to bring NLP experts as consultants.

What is Hybrid AI? Everything you need to know
Ai for business

What is Hybrid AI? Everything you need to know

How Hybrid AI can combine the best of symbolic AI and machine learning to predict salaries, clinical trial risk and costs, and enhance chatbots.

Machine learning for business: formulas or intuition?
Ai for business

Machine learning for business: formulas or intuition?

Many applications of machine learning in business are complex, but we can achieve a lot by scoring risk on an additive scale from 0 to 10. This is a middle way between using complex black box models such as neural networks, and traditional human intuition.

What is natural language processing with examples?
Natural language processing

What is natural language processing with examples?

Natural language processing (NLP) is the science of getting computers to talk, or interact with humans in human language. Examples of natural language processing include speech recognition, spell check, autocomplete, chatbots, and search engines.

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