Application areas of Natural Language Processing (NLP)
Natural language processing, also known as NLP, describes the machine processing of natural language. NLP is a sub-field of artificial intelligence (AI). Humans are more and more frequently coming into contact with AI in their daily lives – whether with Alexa at home, with OK Google on their smartphone or when making a call to customer support. Today, humans are speaking more often with machines. And the areas of application of NLP are steadily on the rise.
Read moreRealistic training data for machine learning
Data are the foundation for training algorithms. The more realistic the data, the better the results. This is because artificial intelligence is based on precise and reliable information for training its algorithms. This is obvious but it is often overlooked. The training data are realistic when they reflect the data that the AI system gathers in real operation. Unrealistic data sets prevent machine learning and lead to expensive false interpretations.
Read moreAI solutions for eCommerce
Artificial intelligence in e-commerce is more than a hype. Developments that are still in their infancy at present will probably be the norm in a short space of time. The successes are measurable and speak for themselves. But how can one benefit from AI in e-commerce? Simply by being up to date and keeping pace with the trends in AI solutions.
Read moreCrowdsourcing services for start-ups
A large workforce can be very cost-intensive in the early stages of a company. Many start-ups therefore fall back on the knowledge and know-how of the crowd when special tasks have to be solved. Spreading individual tasks on many shoulders saves time and money.
Read moreCreating content, but with the right purpose
Content is the magical word in achieving top rankings on Google, Bing and other search engines. But how can you go about acquiring content that actually produces results there? How can you reach the links and shared content on Facebook, Twitter and other blogs?
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