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AI Implementation: Keys to Success and Avoiding Failure
Implementing artificial intelligence (AI) in business can lead to significant productivity gains, but it also comes with risks. According to Forbes, a staggering 60% to 80% of AI projects end in failure, and only 54% of them make the transition from prototype to production-ready applications (Schelzer, 2022; Gartner, 2022). So, what differentiates successful AI initiatives from the failures?
Exploring the Basics of Deep Learning AI Computer Vision
Deep Learning AI Computer Vision is a powerful tool for understanding and analyzing visual data. It uses artificial neural networks to identify patterns and objects in images and videos, allowing for more accurate and efficient analysis than traditional methods. With its ability to process large amounts of data quickly, it is becoming increasingly popular in many fields.
