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.
Before we answer one of the most commonly searched questions on Google – “What is an NLP expert?” – we ought to understand what NLP is.
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.
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.
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.
How Hybrid AI can combine the best of symbolic AI and machine learning to predict salaries, clinical trial risk and costs, and enhance chatbots.
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.
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.
There are many differences between deep neural networks and the human brain, although neural networks were biologically inspired. When was the last time you looked at a picture of an animal, bird or plant, couldn’t place it straight away and were left flabbergasted? When we look at something, our brain fires off a series of neurons that runs that image across thousands to millions of ‘reference images’ stored in the brain. In the case of the unusual animal or bird that we spotted: size, diet, habitat, lifespan, and so on.
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