Economic AI scaling is an important term in the fields of artificial intelligence, automation and digital transformation. It describes how companies not only try out artificial intelligence (AI), but also expand it in a targeted and efficient manner in order to achieve tangible economic benefits.
This means that a company often starts with small AI projects, for example with a chatbot in customer service. Economical AI scaling means that after a successful start, this technology is applied to many areas in the company, for example to automate invoices or in production.
The aim is to use AI to automate larger numbers of tasks, make better decisions and save time and costs. This requires not only the right software, but also good planning and often new processes in the teams.
An illustrative example: an online retailer initially uses AI to improve product recommendations for its customers. If this works well, it also uses AI for automatic stock management and pricing. This economic AI scaling increases the benefits for the entire company and creates competitive advantages.
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