Since data varies from industry to industry, its impact on digitalization efforts differs widely — a utilization strategy that works in one may be ineffective in anothe...
The collaboration of data science and quantum computing appears as a new milestone in the future of data science, despite the quick progress that has been made in the tec...
The conjecture of consciousness for generative AI is not of its equality to human consciousness. It one of data storage, where, in comparison to human memory, if the feat...
What is Question Answering AI Question answering AI refers to systems and models designed to understand natural language questions posed by users and provide relevant and...
The world’s agricultural sector faces a dual challenge: the unpredictability of crop yields and the volatility of agricultural markets. These uncertainties pose sig...
Artificial intelligence (AI) training datasets need to be prepared for agriculture to automate processes and enhance transparency through computer vision. Image annotatio...
Businesses in today’s technologically driven world face many obstacles to success and competition. Key problems in this digital landscape include managing constantl...
There is a general expectation—from several quarters—that AI would someday surpass human intelligence. There is, however, little agreement on when, how or if ever, AI...
In the big world of handling data, where information moves around in complicated ways, metadata is like a secret protector. It holds important clues about the data world....
Image by Steve Buissinne on Pixabay Lowest common denominator (LCD) data science is the unthinking variety of data science that doesn’t question the prevailing wisdom o...