Maximizing Business Efficiency with AI and Subjective Elements

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What is Business Optimization?

Business Optimization (BO) involves leveraging technologies and data-driven approaches to achieve improvements while minimizing costs and resources.

Subjective Elements in Business Optimization

While Business Optimization capitalizes on AI algorithms, it also gives due credence to non-quantifiable aspects of AI. These unquantified concepts are subjective. The acknowledgment and insertion of the subjective element in the optimization of business processes are crucial.

Human vs. Machine Intelligence

Machines are very good at mimicking human functions. Gaming, autonomous driving, robotic surgery, and medical diagnostics are all capabilities that machines can handle well. Computers are phenomenally better at undertaking routine tasks; the more routine they are, the better the automation.

Increasingly complex tasks require correspondingly complex algorithms, which are coded by humans. Machines, however, lack the cognitive capabilities inherent to humans. As Finlay puts it, "True AI is about much more than just pattern recognition and prediction." He further questions, "Is there some additional (as yet unknown) element required for human-like intelligence and self-awareness which can't be replicated via computation alone?" There is no indication of that question being answered in the near future.

The Perspective of Ada Lovelace

Ada Lovelace expresses this succinctly: "The Analytical Engine has no pretensions whatever to originate anything. It can do whatever we know how to order it to perform. It can follow analysis; but it has no power of anticipating any analytical relations or truths; its province is to assist in making available what we are already acquainted with."

Decision Making and AI

The "learning" and "problem-solving" capabilities of AI are programmed by developers. Decision-making uses analytical insights but is still carried out by people. The quality and goodness of decisions are judged by their consequences, which may be subjective and beyond the scope of AI. Human intuition is a positive influence on AI-based decision-making.

Machine Learning as a Subset of AI

The following diagram illustrates how Machine Learning (ML) is a subset of Artificial Intelligence (AI):

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