Saturday, February 08, 2025

Opinion

AI and Machine Learning in everyday life: Transforming our world

Three experts from Oman College of Management and Technology write that science fiction is no longer the exclusive domain of artificial intelligence (AI) and machine learning (ML).

By, Dr. Nuzhat Sadriwala, Dr. Tejas B Vyas, and Mr. Bakhtawar Durrani

info@thearabianstories.com

Saturday, October 12, 2024

Science fiction is no longer the exclusive domain for Artificial Intelligence (AI) and
Machine Learning (ML). The way we live, work, and engage with the world around us
has been completely transformed by these seemingly inconspicuous technological
advancements. AI and ML are fostering innovation and improving our daily lives through
everything from smart home appliances to tailored recommendations. This article
examines the different ways that artificial intelligence (AI) and machine learning (ML)
are changing daily life.

  1. Personalized Recommendations
    Personalized recommendation systems are among the most common uses of AI and
    ML technologies. To analyze user preferences and viewing or listening habits, streaming
    services like Netflix and Spotify employ sophisticated algorithms. Then, in order to
    improve user experience and engagement, these platforms offer personalized content
    recommendations. Likewise, e-commerce behemoths like Amazon use AI to make
    product recommendations based on past browsing and purchase activity, enhancing the
    convenience and personalization of shopping.
  2. Smart Home Appliances
    The convenience and efficiency of AI-powered smart home appliances have made them
    more and more popular. Natural language processing is used by smart speakers such
    as Google Home and Amazon Echo to comprehend and react to voice commands. This
    enables users to operate home appliances, listen to music, and access information
    without using their hands. Nest Learning Thermostat and other AI-driven thermostats
    optimize heating and cooling by learning users’ schedules and preferences. This saves
    energy and lowers utility costs.
  3. Innovations in Healthcare
    AI and ML are progressing significantly in the healthcare industry. Early disease
    diagnosis is now possible, sometimes even before symptoms manifest, thanks to
    predictive analytics and machine learning algorithms. AI-driven technologies can
    accurately analyze medical images, helping radiologists identify anomalies like tumors.

Furthermore, by utilizing AI to examine a patient’s genetic data, lifestyle, and medical
background, customized treatment regimens can be created, improving patient
outcomes.

Improved Client Assistance

Chatbots and virtual assistants driven by artificial intelligence are revolutionizing
customer service in several sectors. Without the need for human assistance, these
systems can manage a variety of consumer enquiries, from offering product information
to resolving technical problems. This enhances response times while freeing up human
agents to work on more difficult jobs. AI is being used by companies like Apple and
Microsoft to improve customer support, giving customers a more efficient and seamless
experience.

Transportation and Navigation

Transportation and navigation systems are being revolutionized by AI and ML. Ride-
sharing services such as Uber and Lyft employ artificial intelligence algorithms to
streamline routes, minimize wait times, and effectively pair passengers with drivers. In
the field of autonomous vehicles, businesses like Tesla are using artificial intelligence
(AI) to create self-driving cars that can navigate roads, identify obstacles, and make
snap decisions to protect passenger safety. These developments are expected to
improve mobility and lower the number of traffic accidents.

Financial Services

Within the finance industry, artificial intelligence and machine learning are being utilized
to identify fraudulent transactions, evaluate creditworthiness, and offer customized
financial guidance. Large data sets can be analyzed by machine learning models, which
can then be used to spot odd patterns that might point to fraud and allow for faster and
more precise detection. Robo-advisors, like Wealth front and Betterment, democratize
access to financial planning by using artificial intelligence (AI) to build personalized
investment portfolios based on each client’s financial objectives and risk tolerance.

Education and Learning

Personalized learning experiences made possible by AI and ML are revolutionizing the
educational landscape. Artificial intelligence (AI) is used by online learning platforms
such as Khan Academy and Coursera to suggest courses and other materials based on
a student’s learning style and pace. Learning can be made more efficient and interesting
with the help of intelligent tutoring systems, which can provide feedback in real time and
adjust to the needs of the student. AI-powered solutions can also assist teachers in
identifying students who might require additional assistance, enabling prompt
interventions.

Ethical Considerations and Challenges

Even though AI and ML have many advantages, there are significant ethical questions
these technologies bring up. To guarantee that the adoption of AI and ML is both
equitable and responsible, concerns like data privacy, algorithmic bias, and job
displacement must be addressed. When trained on skewed data sets, for example, biased algorithms have the potential to maintain preexisting inequalities. Therefore, to
reduce these risks, transparency and accountability in AI development are essential.

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