What are the challenges of adopting AI and ML in business?
Despite the benefits, there are challenges in adopting AI and ML:
Data Quality: Poor data quality can lead to inaccurate predictions and insights. Talent Shortage: There is a high demand for skilled professionals in AI and ML, leading to a talent shortage. Integration: Integrating AI and ML with existing systems can be complex and costly. Ethical Concerns: Issues such as data privacy, bias in algorithms, and job displacement need to be addressed.