Social media marketing can obviously be very successful in B2C business. But what about the B2B sector? Numerous companies wonder what they can achieve on Facebook and co. and assume that they will not find business customers there. But business life has changed.
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.
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.
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.
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.