AI and Machine Learning, Data Science and Big Data
Use methods of the future to improve your business results today! We know artificial intelligence, machine learning, data science, big data and their different applications.
The field of information technology has achieved considerable progress with the help of artificial intelligence, machine learning, data science and big data. These tools allow companies to effectively generate significant customer and business value.
On the other hand, the wrong investments may prove costly and will not provide the desired results. This is why it is especially important to choose a development partner who can realistically predict the costs and results of the project.
Artificial intelligence is a broadly defined field of information science. It covers all efforts to make computers or software function as though they were intelligent.
Definition of artificial intelligence
1: a branch of computer science dealing with the simulation of intelligent behavior in computers
2: the capability of a machine to imitate intelligent human behavior
Machine learning is a subtype of artificial intelligence. Machine learning aims to achieve its goals using learning either by training an algorithm in advance with training data, or by designing an algorithm that continuously learns more as it is used. Sometimes, these two methods can be combined. Machine learning is the most common subtype of artificial intelligence applied in practice today, and it can be based on e.g. neural networks.
Definition of machine learning
1: the process by which a computer is able to improve its own performance (as in analyzing image files) by continuously incorporating new data into an existing statistical model. The company is curating the overall topics manually, but Twitter will be relying on machine learning to intelligently populate the topics themselves so that the tweets can stay up to date. – Lucas Matney (Merriam-Webster)
2: the branch of computer science dealing with the creation and use of computer software that employs machine learning. An entire subspecialty known as machine learning is devoted to building algorithms that allow computers to develop new behaviors based on experience. – Adam Piore (Merriam-Webster)
Data science and Big data
Data science and big data are concepts that are closely related to one another and to machine learning and big data. The training of machine learning algorithms requires data, which is used as training material. This is why the processing of data, the separation of essential information and other related activities are considered their own field of study. Big data means working with data pools that are so big that conventional database solutions are simply not sufficient.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data. (Wikipedia)
Definition of big data: an accumulation of data that is too large and complex for processing by traditional database management tools. (Merriam-Webster)
How to utilize data in decision making
Many companies constantly produce a huge amount of data, but the data may not be utilized in an optimal way. Understanding the data can actually make decision making easier. What to consider when utilizing data-based information?
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