The use of AI has revolutionized many aspects of our lives, including business, science, healthcare, and more. This article will provide in-depth insight into how AI has helped overcome traditional predictive problems and take a bold step towards more prescriptive and solution-oriented decision making.
Artificial intelligence is a branch of computer science that aims to create machines capable of learning from data, identifying patterns and making decisions independently. This has had a major impact in various industries and opened the door for significant improvements in efficiency, productivity and quality. In 2022, artificial intelligence is at the peak of its popularity and is in the spotlight of many global discussions and conferences.
In the previous era, AI was used for predictive decision making. This means the AI system will analyze historical data and identify recurring trends or patterns that may occur in the future. Examples include stock market predictions based on historical data, weather predictions based on past patterns, or even credit analysis to determine a customer’s credit risk.
While predictive decision making has its benefits, it has some significant drawbacks. Decisions are based only on old data, which may not fully represent the current situation. In addition, trends or patterns recognized by AI may not always be accurate, resulting in decisions that do not match current realities.
In 2022, the main focus shifts from predictive to prescriptive decision making. This means that AI is not only able to predict the future based on historical data, but also provide recommendations and solutions to overcome certain problems. This difference is very significant because prescriptive decision making tries to find the best solution for the ongoing situation.
For example, in business, prescriptive AI can provide recommendations for solving operational problems, increasing efficiency, and optimizing marketing strategies. In the health sector, prescriptive AI can provide more precise diagnoses and treatment plans that are tailored to the patient’s condition.
The use of AI in prescriptive decision making has several outstanding advantages. With the ability of AI to analyze data thoroughly and provide timely solutions, decisions made are more accurate and in accordance with the current situation. Prescriptive AI is able to provide recommendations in real time, saving a lot of time that would normally be required in manual decision-making processes. With the burden of routine tasks being taken over by AI, humans can focus more on the creative and innovative aspects of their work. Prescriptive AI can understand individual needs and preferences, thereby providing more personalized and relevant solutions.
The use of prescriptive AI in the future is predicted to be increasingly widespread and integrated in various aspects of our lives. Data-driven decisions will become smarter and more reliable, bringing about big positive changes in industries.
In 2022, artificial intelligence technologies have driven the shift from predictive to prescriptive decision making. Prescriptive AI provides more precise and appropriate solutions to ongoing situations, increasing accuracy, efficiency and creativity. Various industries have adopted prescriptive AI to improve performance and better meet challenges. While there are challenges that need to be overcome, the future of prescriptive AI looks bright and full of potential.
