AI development
A major challenge in AI development is the effort required to obtain and label real-world data. A 2023 Gartner survey identified data availability as one of the top five barriers to implementing generative AI. Synthetic data can help address this issue.
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Commentary
Since the release of ChatGPT, cybersecurity experts have been wondering how to control the falsification of GenAI. They initially assumed a threat scenario, namely that the output of GenAI is already being distorted by data poisoning.
Computer vision and the data-centric AI pipeline
Data-Centric AI (DCAI) represents a pioneering approach in AI by focusing on the quality and relevance of data to optimize machine learning models and system performance.
Interview
Google fires the next AI salvo: The Gemini model is set to outdo Microsoft, Amazon & Co. But how does the Group plan to monetize it? The battle between the tech giants is coming to a head. An interview with Dr. Thomas Thiele, Principal in the Innovation Practice at
Comeback with AI
“Mac vs. PC” was once a big rivalry in the tech industry. Then Apple switched to chips developed in-house – and overtook Windows PCs. Microsoft is now planning a comeback with AI. What does the new vision look like?
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