7 Common Artificial Intelligence (AI) Challenges In Businesses
Tony Taslim
Empowering Business Leaders for Faster, More Accurate and Effective Decision-Making ? Business & IT Advisor
The application of artificial intelligence has much significance for many businesses. Artificial intelligence (AI) shares the same risks and challenges as any other modern commercial technology:
1. Data Availability
In most organizations, data is isolated, siloed, inconsistent and has poor quality. Such data poses a significant challenge for businesses looking to derive value from AI.?
Businesses need to identify a clear strategy from the beginning so that AI prerequisite data can be retrieved from data sources in an organized and consistent manner.
2. Lack of Talent
Organizations seeking to harness the benefits of AI can face a shortage of internal and potential employees with the skills and experience needed to fully realize the potential of artificial intelligence. The lack of AI skills and the limited availability of technical staff with the required expertise make it clear that
Businesses need to consider investing in employee training to effectively implement and operate AI solutions.
3. Cost and Implementation Time
From both a time and economic perspective, the cost of implementing an AI solution is a key factor in deciding to undertake these types of projects. Companies that lack in-house functionality or are not familiar with AI technology.?
AI experts can address integration challenges to ensure systems/platforms' ease of use and interoperability.
4. Security and Compliance
One of the biggest challenges for AI in businesses is the amount of data collected and ensuring data collected is secured.
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Additional security measures such as strong authentication and regulatory data protection and security governance are maintained.
5. Organizational Support:
When deploying new technologies, organizational support plays an important role in their successful deployment and implementation.?
Business leaders must drive organizational change and industry leaders need to make infrastructure, training, education, and other forms of workforce support available to eliminate any form of hesitation about this change.
6. Transparency
Understanding how AI determines diagnosis and prediction is paramount, especially in making business decisions.?
Businesses must have proper systems in place to ensure that human biases and prejudices are not reflected in the AI system's decision protocols.
7. Job Redundancy
AI helps reduce costs and pressure for businesses, and can also make some tasks redundant.?
AI is great assistance at lower-level, repetitive tasks and humans and AI need to work together for maximum productivity. This means putting AI in a supporting role rather than replacing human capabilities.