AI is only as effective as the data it consumes. Most organizations struggle with fragmented, incomplete, or poor-quality datasets.
A major inhibitor to AI adoption is a lack of specialized talent capable of building and maintaining these complex systems. 3 Hurdles to Overcome for AI and Machine Learning
"Garbage in, garbage out." Biased or inaccurate training data leads to faulty predictions and discriminatory outputs. AI is only as effective as the data it consumes