Why AI and ML are falling short?: An insight into Business Trends

With the emergence of Artificial Intelligence (AI) and Machine Learning (ML) in almost every segment including healthcare, education, etc. new possibilities have opened up. However, AI and ML are still falling short in every segment, especially in the business segment. According to research 80% of CIOs are assigned to research and evaluate analytics of AI, among them 74% are working closely with their business leaders to deliver inputs, yet only 32% of them successfully implement over 60% of ML models.Companies or businesses shouldn’t expect the best results initially as models require a lot of experimentation and iteration to establish accurate models, robust dashboards, and AI-driven operations that boost productivity. This article explores the actual reasons why AI and ML are falling short.

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