In recent years we have witnessed substantial growth in the use of applications and platforms built on top of artificial intelligence and machine learning . These technologies have impacted many branches of our social sphere, from industry , commerce , health and education , digital marketing and many other areas. Just think, for example, of applications such as Chatbots , ChatGPTmaps and navigation applications, text editors and automatic correction, search and recommendation algorithms, among others, and how they facilitated, or rather, revolutionized work of many users in each of the areas of influence in which they operate.
But, after all, what is artificial intelligence?
According to The Oxford Dictionary of Phrase and Fable, artificial intelligence (AI) is the theory and development of computer systems capable of performing tasks that normally require human intelligence, such as visual perception, speech recognition, decision making, and translation between languages. Essentially, artificial intelligence is the ability of a digital computer or computer-controlled robot to perform tasks normally associated with humans. Artificially intelligent machines or applications can remember patterns of behavior and adapt their responses to match those behaviors or promote changes in those same behaviors.
With all that said, we can ask ourselves: how does artificial intelligence affect work?
Artificial intelligence is already deeply embedded in everyday life and work. There are several AI-based features that companies use, from personal digital assistants, smart home appliances, online shopping and payments , accounting and work control applications, factory robots, among others, and the trend is for an exponential increase in the adoption of these tools. At the same time, artificial intelligence has the potential to produce enormous economic benefits for companies and one of the trump cards that it carries with it is increased productivity . In addition to greater productivity and cost reduction, there are other advantageous variables that include reliability, ease of solving complex problems and innovation.
As for the labor market itself, there is a consensus that artificial intelligence will affect the quality of work more than the quantity itself, therefore not being a threat to jobs, but requiring greater adequacy of specialization on the part of workers. For example, in the human resources sector , artificial intelligence, in addition to automating routine tasks such as payroll , is transforming the way recruitment is carried out by filtering profiles , selecting CVs , pre-select candidates and even schedule interviews. This makes the process much more efficient, saving intervenients a lot of time and consequently reducing the costs associated with these processes.
New trends in artificial intelligence
There are different poles within the field of artificial intelligence, which have a profound influence on how we work now and how we will work in the future: Machine Learning, that allows machines to learn through data pattern recognition, further reducing human intervention and allowing the use of larger datasets, Robotics, which allows the automation of physical tasks remotely or by algorithms or sensors, and Natural Language Processing, which allows machines to understand, generate and respond to human language ; are among those that show the most possibilities for growth
It is within this group of trends that companies are looking for intelligent automation tools to solve business challenges and increase productivity, efficiency and accuracy, thus benefiting their business. In digital marketing, for example, the biggest trend when the topic is artificial intelligence is the growing focus on providing personalized services. To do this, artificial intelligence makes use of analytical data from the online activity of people searching for specific keywords. This level of personalization is guaranteed to provide a better experience for customers, which directly increases revenue for the companies that benefit from it. As machine learning gets better at understanding what people want in specific cases, AI will become less of a sales tool and more of a digital “companion”.
Virtual reality and augmented reality technologies are also tools which are making possible an internet in which people can entering into gaming and other entertainment or work environments, known otherwise as metaverses . Shared virtual spaces mingle with those of the physical world, thereby transforming collaboration, communication and even training.
Some promising tools
There are several artificial intelligence applications being presented to the market in recent times, however, we highlight some that represent a true disruption within the work environment. Among these, we list ChatGPT which is a powerful tool to help all types of professionals handling text content and much more.. ChatGPT saves time and efficiency by automating the writing of documents, emails and gives answers to whatever the user wishes. It responds to user requests quickly and efficiently. Another outstanding application is DALL-E , which is an image generation tool using artificial intelligence . It allows generating images from textual descriptions, which facilitates the creation of visual content especially for social networks, advertising campaigns and product presentations. IBM Watson is another application that offers solutions based on artificial intelligence to improve the work environment. It allows companies to automate and optimize the management of human resources, being able to optimize all issues related to the health and safety of employees in their workplaces.
In conclusion, we can say that companies integrate technological tools related to artificial intelligence to facilitate the missions assigned to employees. In this way, professionals can get rid of certain time-consuming and, above all, low-value-added tasks, thus allowing more time for employees to focus on more strategic and profitable actions, in turn improving the results presented, as well as increasing the well-being in the work environment.
