Forbes has published an article by Yuri Gubin, Chief Innovation Officer at DataArt, on the critical importance of data quality and integrity in AI. Yuri discusses how data management affects AI capabilities, the risks of biased data, and the vital role of data governance.
“Data is essential for the success of any artificial intelligence (AI) project, but understanding what makes data beneficial—or harmful—for AI is crucial.”
“The principle of "garbage in, garbage out" is fundamental; even if the model is well-trained, poor-quality data leads to poor-quality insights and predictions.”
“How will models filter AI-generated material, and what impact will this have on the quality of future AI systems? These challenges are yet to be fully understood, and the industry must closely observe how this dynamic evolves.”
Read the full article here.
