Artificial Intelligence
Also known as: AI, KI
Artificial Intelligence (AI) refers to the ability of machines to perform tasks that normally require human intelligence. This includes learning, problem-solving, pattern recognition, and decision-making.
In a business context, the pure technology definition is only the starting point. What matters is moving AI from experiment into permanent operation. That is exactly where netzstrategen’s AI Operations approach comes in.
FAQ
What is the difference between AI and ML? Machine Learning is a subfield of Artificial Intelligence. AI is the umbrella term for machines that exhibit intelligent behavior; ML is the most important method for letting AI systems learn from data.
Is Artificial Intelligence the same as Generative AI? No. Generative AI is a specific application of AI that creates new content such as text or images. AI as a whole also covers classification, forecasting, automation and decision support.
How do companies actually use Artificial Intelligence? In the mid-market, the greatest measurable value emerges in marketing, sales and customer operations, provided AI is run as a permanent business function rather than a one-off pilot.
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In the Digital Impact Podcast, André Hellmann, Christina D'Ilio, Christian Sattel and Sarah Stock talk with guests from practice about AI Operations. The episodes are easy to listen to on the go.
How this article was produced
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This article was produced with AI support. Ideation, editorial planning, substantive review and approval rest with a human; copy-editing sits with the AI. Editorial responsibility is held by André Hellmann.