Artificial intelligence(AI), machine learning, and data science are transforming industries around the world.
Breaking down the terms
Let’s start by understanding what these terms refer to and what key role they play in the industries.
The world of Artificial Intelligence (AI)
Artificial Intelligence as of today has reached a level of recognition that cannot be denied. Everyone is acutely aware of its existence and some are employing it. The power has to work rapidly. it has quickly become a colossus industry causing chip shortages to fight over GPUs and for a promising reason for all the good.
The negative
It can do wonders and is accomplishing it. Although it can easily be exploited for malicious reasons. There’s a lot of ethical explanations to be concerned with for example what to do with data?
AI experts can collect the data but how much of it? What if it is copyrighted or if you interact with AI tools such as Chatgpt your query is remembered?
The need for laws
We have yet to arrive at satisfactory laws as technology is like a newborn child when we compare it to other technologies. Its exponential growth has been due to the rationale being so beneficial in countless industries.
The new era of technology
It can be described as a unique era of humanity, where AI can give insights into new manners to produce Medicine, create Rockets and even beyond our imagination.
Terrifying or transforming
AI will grow, and it’s a given that the future of this technology is terrifying and amazing. Only the future can tell how this technology will shape humanity, but as of now, it is already making revolutionary discoveries and streamlining processes. saving time for people by doing a lot of boilerplate work.
AI and ML interchangeably
AI and ML are often operated interchangeably. It is the same situation as Linux, Linux is the name of the kernel that enables the communication of the hardware and software, and it is frequently used to refer to the different flavors of Linux. The term artificial intelligence refers to the emulation of human intelligence, while machine learning refers to an algorithm made for some specific work as it gets more and more data from its function, AI is the umbrella term for all the technologies that do that, including Ml. Thus, the connection of AI to Ml can be interchangeably used, though the use may require some context.
Machine learning and beyond
ML has been in the industry since it is taken advantage of for a lot of work, some of which are mentioned in the AI section, and others, such as sorting images, forecasting weather, sales, and much more. It is an algorithm set that does complex work, takes input, and gets more precise in the work. As mentioned before, it is AI, so it is taken up in business, health industries, and more than we can list here.
The ML and productivity
A lot of Google services use ML in their services, from search to Gmail, even though it has protected countless hours. ML and, by extension, AI has revolutionized considerable industries, such as health, education, engineering and more. The thing that brings in them, exceptionally phenomenal at AI or ML is the data.
The planet of data
These data sets that they are trained on or get input on while they function make them more and more accurate. Have you seen handwriting-to-text in Apple that uses AI or ML?
In the modern world, we have an increased need for awareness of data, the organization and study of data is called data science.
Its application can deviate from field to field, however, the core idea is that we need to seize our surroundings in a mixture of numerous fields such as mathematics, statistics, AI and computer engineering.
Ml have a nucleus based on data
In this field, a person will analyze huge amounts of data to understand, predict or modify the work of the GIS to find or derive meaning. It has a lot of applications such as in the fields of finance, e-commerce, medicine and almost all other aspects of human life. Text, videos, and images as cited before. It can advocate predicting future events too as mentioned before. This sector and AI, Ml have a nucleus based on data but they separately nourish different functions to society and by extension industries, all three are important parts of any modern industry whether you witness it or not data and AI are influencing your experience every second of your life.
REFERENCE
Duarte, F. (2023, December 13). Amount of Data Created Daily (2024). Exploding Topics. https://explodingtopics.com/blog/data-generated-per-day
What is Data Science? – Data Science Explained – AWS. (n.d.). Amazon Web Services, Inc. https://aws.amazon.com/what-is/data-science/#:~:text=Data%20science%20is%20the%20study,analyze%20large%20amounts%20of%20data
Staff, C. (2023, November 29). Data Science in Business Guide: Benefits, Uses, and More. Coursera. https://www.coursera.org/articles/data-science-in-business
Staff, C. (2023, November 29). Machine Learning vs. AI: Differences, Uses, and Benefits. Coursera. https://www.coursera.org/articles/machine-learning-vs-ai