Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.
There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do ...
Discover how businesses and government agencies can use capital investment analysis to assess the potential of long-term ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Abstract: Technology development has led to increased data generated in education, sparking interest in information extraction to support educational management through automated data analysis. Using ...
Leaders increasingly understand that building a strong data culture is an essential function in today's competitive economy. Leaders are now recognizing that to be a data-driven organization and ...
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.
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