AI & Machine Learning (ML) Are Not A Replacement For Human Decision-Making
As AI and machine learning become more prevalent in business and society, an increasing amount of data will be generated. It is essential for individuals to develop the skills required to ask the right questions and make sense of responses and data to gain insights and make informed decisions. This requires a combination of analytical skills, critical thinking, and domain knowledge.
Amidst all the current rhetoric surrounding emerging digital technologies, management, leadership, and employees need to understand that AI and machine learning (ML) are not a replacement for human decision-making. These technologies can provide valuable insights and recommendations.
Ultimately, it is up to humans to decide what action to take based on the data and recommendations provided. Therefore, organisations, employees and individuals need to be equipped with the skills and knowledge to interpret the data and apply it effectively to solve real-world business problems.
Asking the right questions and interpreting the responses is a crucial skill in the age of AI and ML.
Individuals must develop skills in this area to be able to make informed decisions and add value to products, services, and effective organisational management. Developing muscles and proficiency requires 7 competencies:
Practitioners and domain experts will remain valuable and therefore need to hone their expertise.
Understanding the fundamentals of statistics and data analysis is essential.
Familiarise yourself with data visualisation techniques.
Familiarise yourself with the basics of machine learning.
Practicing critical-thinking skills.
Develop real-world problem-solving skills.
Collaborating for feedback.
Do you want to learn more about how to develop these skills? Read the full articleand find out how we can support you and your organisation in developing the practice to ask the right questions.
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