What is an algorithm?
An algorithm is a finite sequence of instructions in a precise order, written to solve a problem or reach a result. In computing the instructions are coded so that a machine can execute them: every piece of software is made of algorithms, which control its flow of data.
Algorithms have become a fundamental component of our everyday life, influencing countless aspects of what we do, from online searches to the personalisation of services, up to crucial decisions in fields such as medicine and finance. But what exactly are they, and how do they affect our lives so deeply? In this article, we will explore their historical evolution and their growing role in an increasingly digital world. We will discover how these complex but fascinating mechanisms turn raw data into valuable information, improving the way we live and work.
What is an algorithm?
An algorithm is a finite series of ordered instructions, designed to solve a specific class of problems or to calculate the result of a mathematical expression. A simple way to visualise an algorithm is to think of a flowchart that visually depicts a series of blocks, each representing an operation, with arrows indicating the logical flow to follow. The order and organisation of these operations within algorithms are crucial: a single error can lead to completely wrong solutions to the initial problem.
The well-known Lego bricks, an icon of many people’s childhood, are a fascinating example of how algorithms show up. The ordered steps found in Lego instructions are, in practice, the execution of a flawless algorithm that leads to the expected result: a built model.
In computing, an algorithm is a set of coded instructions that guide a computer in solving a problem. Software is based on algorithms, which are used to carry out tasks such as controlling the flow of data, processing images and recognising natural language.
The first algorithms were conceived thousands of years ago, to solve problems such as calculating the date of Easter or dividing whole numbers. With the advent of computing, algorithms have taken on an increasingly important role, becoming the foundation of many of the systems we use today.
They are also used in many other fields, including mathematics, engineering, science and medicine. In science, they are employed to process data, simulate natural phenomena and develop new mathematical models. In medicine, specialists use them to diagnose diseases, develop new drugs and personalise treatments.
A world influenced by algorithms
Algorithms are by now an essential part of our life. They help us solve problems, make decisions and understand the world around us.
Here are some examples of how algorithms influence our choices.
- Web browsing: search algorithms such as Google help us find the information we are looking for, using a variety of factors to determine the search results, including significance, relevance and popularity.
- Online advertising: ad targeting algorithms show us adverts that are more interesting on the basis of our profile, using our browsing data, such as the websites we visit and the products we buy, to build a profile of interests.
- Personalisation of products and services: algorithms can be used to customise products and services according to our interests and needs. For example, the suggestions on Amazon are based on previous purchase and browsing data.
- Customer service: through algorithms it is possible to automate customer service activities, such as answering questions and solving problems.
Beyond these specific examples, it is important to know that, in the future, algorithms will influence the way we act in increasingly advanced ways. With the evolution of artificial intelligence, they will help transform the way we live and work with ever more complex applications, such as healthcare, finance and security.
Towards evolution
With the advent of Industry 4.0 and of Artificial Intelligence, the concept of the algorithm has become more complex. We are no longer limited to sequences of deterministic operations: we enter the field of Machine Learning, in which neural networks, described by algorithms, are modelled to adapt to new situations. This evolution opens the way to a world in which machines can make decisions and take actions based on data models and predictions. All this has led to the birth of new types of algorithms, capable of carrying out tasks that until a few years ago were considered impossible to complete.
In Industry 4.0 the algorithms that train networks therefore play a crucial role in many areas: one of the most important is predictive maintenance, which makes it possible to anticipate and prevent faults in machines and plants.
Let’s take a practical example: there are networks that constantly analyse the data coming from sensors and devices connected to industrial equipment. By monitoring conditions and analysing trends, they are able to detect anomalies and early signs of deterioration in the machinery, and to anticipate and prevent unexpected faults, thus avoiding costly interruptions to production.
“Elementary, Watson”
One success story in the application of learning algorithms is Watson technology by IBM. With its ability to process natural language, analyse complex data and provide precise answers, Watson has demonstrated the potential of artificial intelligence in overcoming the most complex challenges. From the fields of medicine to scientific research and beyond, it has opened new horizons, demonstrating how advanced algorithms are able to turn raw data into valuable information, changing the way we make decisions and face everyday challenges.
The future of algorithms
The future evolutions of algorithms promise to be extraordinary. A further integration of advanced algorithms into every phase of production processes is expected, allowing an even more precise and flexible personalisation of products. The use of machine learning and artificial intelligence algorithms will open the way to autonomous and collaborative production systems, in which machines, robots and humans will work together in synergy.
The predictive capacity of future technologies will make it possible to anticipate market demand and optimise the management of the supply chain. At the same time, further efforts will be needed to guarantee the ethics and transparency of algorithms, in order to avoid discrimination and ensure social acceptability.
At dotenv, being specialised in the development of highly advanced software, algorithms are our daily bread. Recently, thanks to Sport Analytics, the company that owns Fantaculo, the first and only calculator of “culo” (that is, luck) in the game of Fantacalcio, we explored a very interesting example of an algorithm. We talked about it in the latest episode of the Nessun Segnale podcast.