The AI innovations on the 2022 Gartner Hype Cycle fall into 4 categories: 1️⃣ Data-centric AI 2️⃣ Model-centric AI 3️⃣ Applications-centric AI 4️⃣ Human-centric AI Find out more in our latest article: GartnerIT
AI shifts the focus toward enhancing and enriching the data used to train the algorithms.
Add capabilities necessary for convenient AI development by an AI-focused audience that is not familiar with data management. Innovations in data-centric AI include synthetic data, knowledge graphs, data labeling and annotation., for example, is a class of data that is artificially generated rather than obtained from direct observations of the real world.
Expected to reach mainstream adoption in two to five years, the business benefits of composite AI are likely to be transformational, enabling new ways of doing business across industries that will result in major shifts in industry dynamics. For example, composite AI:
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