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.
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?
Content marketing can also suffer from burnout. This generally happens when structures and content do not yield anything new. Even the best content becomes dull when it isn’t spiced up at some point.What can you do about it? In order to guard against counterproductive burnout, we have compiled a few tips to freshen up your own content marketing.
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