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How does Artificial Intelligence change business models?

17.07.2018 110 3 min.

Specialists tell that artificial intelligence is now the most important general-purpose technology in the world. New products, processes, and improvements in business models are being made possible by better vision systems, speech recognition, intelligent problem solving, and many other capabilities that machine learning delivers.

Surely AI gets start-up companies to find their advantages and to get better development. Along with business processes in a company, and its occupations, AI can drive the changes at existing business models.

Some of the examples can be:

  • Usage of machine vision systems to identify potential cancer cells. In such way radiologists can focus on truly critical cases, to communicate with patients, and to coordinate with other physicians).
Development of mobile apps
  • The reinvention of the workflow and layout of Amazon fulfillment centers after the introduction of robots and optimization algorithms based on machine learning.
Artificial Intelligence
  • Intelligent music or movies recommendation in a personalized way. Instead of selling songs on the basis of consumer choices, a better model might offer a subscription to a personalized station that plays music a particular customer would a hundred to one like, even if the person had never heard it before.
Machine learning systems

What is so important is that AI and particularly machine learning systems will hardly ever replace the entire job, process, or business model. Most often they complement human activities, which can make their work ever more valuable. So you can not simply “give all tasks to the machine.”

Designing and implementing new combinations of technologies, human skills, and capital assets to meet customers' needs requires large-scale creativity and planning. It is a task that machines are not very good at. And that actually makes actually an entrepreneur or a business manager occupation one of the society’s most rewarding jobs in the age of AI.

You might also like:
  1. Will robots take the designers' place, or we can cooperate with them — Large material about AI impacting the work of designers
  2. If you’re an AI, you should read this — Top problems of machine learning for the upcoming years
  3. Got tired of AI articles? Think on an unusual design concept — Teleporter conception: design thinking approach

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