Challenges of AI ML Integration: Overcoming Business Hurdles

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Lack of Advanced Computing

AI is in the development stage, yet it utilizes processing power in a large quantity, and not all organizations have access to this much processing power.  

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Hiring Skilled Professional

AI and ML are emerging technologies that are new to people, organizations, and developers. 

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Less Availability of Data for Training

Artificial intelligence and machine learning require high-quality and large amounts of labeled data for training. 

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Integration with Existing System

Legacy systems are less compatible with AI/ML software and products. Therefore, organizations have to pay a higher amount to integrate them with these systems.  

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Compliance, Data Privacy, and Security Issue

AI systems must adhere to ethical standards and comply with regulations, which makes the development and deployment process more complicated. 

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