Artificial Intelligence (AI) has become an increasingly popular technology in various industries, with many companies looking to adopt it. However, some companies have decided to wait for the technology to mature before adopting it, believing that they will be able to catch up quickly. This strategy may not be effective as AI systems require a lot of development and integration time, and companies need to be prepared for the human challenges that come with it. Therefore, companies that wait to adopt AI may never catch up with their competitors who have already started using it.
Early Adapters:
One of the main reasons why companies should not wait to adopt AI is that the technology is already mature enough in some areas. For example, traditional machine learning has been available for decades, while deep learning is based on research that dates back to the 1980s. The mathematical and statistical foundations of current AI are well established, and new research is being conducted all the time. Therefore, companies that wait for AI to mature may miss out on the potential benefits that early adopters enjoy.
Takes Time:
Another reason why companies should not wait to adopt AI is that developing AI systems takes time. These systems need to be tailored and configured to the specific knowledge domain within the company, and if machine learning is involved, a substantial amount of training data is required. Additionally, if the AI manipulates language, as in natural language processing applications, it can be even more challenging to get the system up and running. Incorporating taxonomy and local knowledge into the AI system takes time, and AI of this type is not just a software coding problem; it is a knowledge coding problem. If a company’s knowledge domain has not already been modeled by its vendor or consultant, it will typically take many months to architect, especially for complex knowledge domains.
Once the AI systems have been built, integrating them into the organization can be challenging. The fit with the company’s business processes and IT architecture will require significant planning and time for adaptation, especially if the organization is not employing some AI capabilities that are embedded within existing packaged application systems. The transition from pilots and prototypes to production systems for AI can also be difficult and time-consuming. Even if the company is skilled at moving pilots and prototypes into production, it will need to re-engineer its business processes to have full impact on its business and industry.
Human Resource Challenges:
Finally, there are the human challenges of AI to overcome. New AI systems typically mean new roles and skills for the humans who work alongside them, and it will typically require considerable time to retrain workers on the new process and system. Even if the goal for an AI system is to be fully autonomous, it is likely that some period of time in augmentation mode will be necessary. During this period, a critical task will be to ensure that the AI system and humans can work together effectively. Companies that wait to adopt AI may face significant human resource challenges in terms of retraining existing workers or hiring new employees with the necessary skills and knowledge.
Conclusion
Waiting to adopt Artificial Intelligence (AI) may seem like a safe strategy, but it can lead to missed opportunities and a significant competitive disadvantage. The technology is already mature enough in many areas, and the development and integration of AI systems can take considerable time. Companies that wait too long may struggle to catch up with their competitors who have already adopted AI. It is essential for companies to be proactive in their approach to AI adoption and prepare for the human challenges that come with it. By doing so, they can take advantage of the benefits that AI can offer and stay ahead in their industry.
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