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.
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.
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.
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?
What is sentiment analysis and what are the key trends in sentiment analysis today? Understand and try out some of the simplest and most cutting-edge sentiment analysis technologies!
Natural language processing can distinguish customers from salespeople Is it possible to use natural language processing (NLP) to distinguish between unwanted sales approaches and promising leads for a business’s customer relationship management?
Today, Thursday 5 May, is being celebrated worldwide as the International Day of the Midwife, organised by the International Confederation of Midwives.
Job postings for data science consultants have increased an amazing 256% since 2013. Why? The need for data collection and processing is everywhere.
What we can do for you
