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14 August 2024

Continuous AI model monitoring (Glossary)

Artificial intelligence Automation Big data and smart data Digital transformation AI Glossary

Continuous AI model monitoring is at home in the fields of artificial intelligence, automation, big data and smart data.

This refers to the continuous monitoring of AI models that are used in companies or other organisations. AI models such as language assistants, forecasting systems or chatbots are never completely "finished". Once they have been launched, they need to be monitored regularly to ensure that they continue to work reliably and correctly.

Imagine an online shop using AI to make suitable product recommendations to customers. Over time, however, customer interests, trends or purchasing behaviour change. Continuous AI model monitoring means that the company constantly observes the AI: Is it still making sensible recommendations? Or has it "unlearned" itself and is now suggesting the wrong products? If something is not going well, the AI can be improved or retrained in good time.

Continuous AI model monitoring helps to recognise errors at an early stage, improve the user experience and ensure trust in AI solutions. Companies thus create the basis for successful and sustainable AI applications.

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Continuous AI model monitoring: optimise your AI applications on an ongoing basis - for greater precision and security. Find out more now!

written by:

Sanjay Sauldie

Sanjay Sauldie is a digital strategist, speaker and developer of the transruption toolkit, which companies can use to make their digital transformation measurable, human and sustainable. With kiROI - the AI-based approach to value creation in the digital age - he helps self-employed people and companies to integrate artificial intelligence into their processes in a practical way. With his outstanding marketing strategy iROI, he has already led countless companies to greater visibility and thus more profits. He combines digital innovation with disruptive thinking models for a sustainable business strategy. He studied mathematics and computer science at the University of Cologne, completed a Master of Science in Digital Disruption at the University of Salford (UK) and a Design Thinking programme at MIT/EMERITUS Singapore. As a multiple award-winning expert - including the Golden Web Award and the Innovation Award of the Initiative Mittelstand - he advises SMEs and corporations. His motto: "Digitalisation is not an end in itself - it must serve people."

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