Annotation Intelligence Knowledge 
Smart Data Collective
JULY 1, 2023
We have mentioned that advances in Artificial intelligence have significantly changed the quality of images recently. One development that AI has led to is the growth of image annotation. Image annotation is the act of labeling images for AI and machine learning models. This will reduce inconsistencies and errors in annotations.
Smart Data Collective
JUNE 22, 2023
Taking the world by storm, artificial intelligence and machine learning software are changing the landscape in many fields. This process is important if you want to improve data quality especially for artificial intelligence purposes. Having that knowledge will provide insight into how to choose the best data labeling tool.
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CIO
OCTOBER 2, 2024
One being knowledge management (KM), consisting of collecting enterprise information, categorizing it, and feeding it to a model that allows users to query it. You have filtering, normalization, some sort of augmentation, and you have to annotate the data,” says Jelinkova. They need to make sure they’re not exposing themselves to risk.
CIO
JULY 10, 2024
On top of this, Relex added instructions to its prompt to avoid answering any questions outside the company’s knowledge base, he says, and to express uncertainty when the question was at the limits of its knowledge or skills. Besides these, Relex also tightly curated its knowledge base, Vilkamo says.
CIO
JUNE 22, 2023
Other emerging roles include AI data annotators, legal professionals specializing in AI regulation, AI ethics advisors, and content moderators to track potential disinformation around AI, says Robert Kim, CTO at Presidio. Artificial Intelligence, CIO, Emerging Technology, IT Leadership, IT Skills
CIO
MAY 1, 2024
When it comes to dividing gen AI tools into task and role-specific vertical applications, or more general tools that can be broadly useful to knowledge workers, organizations seem able to adopt the latter more quickly. Artificial Intelligence, Development Tools, Emerging Technology, Generative AI, IT Leadership, Microsoft
Smart Data Collective
MAY 29, 2023
The world of artificial intelligence (AI) is constantly changing, and we must be vigilant about the issue of bias in AI. When annotators train data with biased information, the model learns and replicates these biases, resulting in inaccurate translations and reinforcing discriminatory narratives.
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