AI IN BUSINESS

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TRANSFORMING INDUSTRIES WITH ARTIFICIAL INTELLIGENCE

Artificial intelligence (AI) enables computers and algorithms to mimic intelligent human behavior. Since its establishment as an academic discipline in 1956, AI has gone through multiple cycles of optimism and skepticism. Today, it is a rapidly evolving field with applications across industries, offering businesses new ways to enhance efficiency, automate processes, and make data-driven decisions.

THE MANY FACES OF AI

Human intelligence is complex and multifaceted, and AI attempts to replicate different aspects of it. This has led to the development of specialized AI models:

COMPUTER VISION
enables machines to analyze and identify objects in images.
NATURAL LANGUAGE PROCESSING
allows AI to understand and generate text.
GENERATIVE AI
can create images, audio, and video.

While there are aspirations to develop Artificial General Intelligence (AGI)—a system capable of human-like reasoning across multiple domains—its practical value remains uncertain. Current AI models excel in specific tasks but struggle with adaptability beyond their training scope.

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AI VS. HUMAN EFFICIENCY

Unlike humans, who must be adaptable to a wide range of situations, AI systems can be optimized for specific tasks. Just as industrial robots are designed for precision without unnecessary features, AI models can be tailored to run efficiently on small, low-power devices. Some AI applications can operate on hardware the size of a credit card, making them well-suited for embedded systems and edge computing. This contrasts sharply with the energy demands of a human, averaging 2.2–2.9 kWh per day.

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AI IN BUSINESS: STRENGTHS AND LIMITATIONS

To integrate AI effectively into business operations, it is crucial to recognize its strengths and limitations:

STRENGTHS
Process vast amounts of data quickly
Automate repetitive tasks efficiently
LIMITATIONS
Can make mistakes and have biases
Needs human oversight in critical areas

THE ROLE OF AI IN WORKFORCE AUTOMATION

While AI enhances productivity, full automation remains rare. Businesses still rely on human workers alongside AI-powered tools:

FACTORIES
Use robotics and AI-driven automation, yet still require human oversight.
RETAIL
Have self-checkout kiosks, but customer service representatives remain essential.
SECURITY
Employ biometric AI scanners, yet manual checks are still in place.

AI is most effective when it augments human work rather than replaces it. The key to leveraging AI in business is to identify areas where automation provides the greatest value while maintaining a balance between efficiency and human expertise.

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