*Per Nelson Simões
The demand for applications with Artificial Intelligence (AI) is a trend in companies. To give you an idea, a search from Stanford University in partnership with MIT pointed out that the use of generative Artificial Intelligence can increase the productivity of companies up to 14%.
In this sense, compliance with this market movement has encouraged large manufacturers software companies to invest in AI solutions in order to accelerate business evolution and ensure agility in operational tasks.
Increasing productivity through AI
Have you ever thought about creating a presentation stating only the types of data you would like to be in it? Or even analyze the information in a spreadsheet with a few commands? And write a text stating only the theme? With automated AI tools this is possible, as these productivity assistants use the Artificial intelligence to allow the user to allocate time and effort to what really makes a difference in the business.
There are several solutions that have been developed and are expected to be launched at the beginning of 2024. Among the objectives, in addition to increasing productivity on a daily basis, is support for safety, to identify possible failures and errors in company operations, as well as support developers, by allowing access to basic programming code.
However, for such automation to be possible, it is not enough to simply request information from technology, but to structure the processes. After all, there's no point asking for data if Artificial Intelligence doesn't know how and where to collect it.
Therefore, companies interested in adopting AI in their processes need, first of all, to ask themselves some questions, such as: is my data organized and structured? Is the information secure, whereas only people authorized to have that information will be able to extract that data? Do the company's environments support this new technology?
If the answer to these questions is no, now is the time to change the game and anticipate the effective arrival of these resources on the market. Thus, from the moment they become reality, it will be possible to consciously adhere to and be at the forefront of a disruptive digital evolution.
Investment in security
One report from Kaspersky points out that more than 40% of companies faced at least one ransomware attack (those that encrypt targets' data and files to inhibit access) in 2022, with, on average, SMEs spending more than R$ 20 thousand and large corporations paid around R$ 306 thousand to recover the information.
This data illustrates the priority with which managers need to deal with the security of their processes and how it is essential in the process of preparing the company's infrastructure to receive new technologies.
However, more than protecting devices, it is essential to monitor user behavior, in order to analyze access in very distant locations in a short space of time, for example, and identify an attempted information leak attack.
The step-by-step guide to assertive data structuring
Data structuring, in turn, involves organizing the company's entire information repository, as well as who and how can access it. As for the time required for this structuring, it depends on the maturity of the companies in their data management, as well as the type of update desired.
In any case, it is important to keep in mind that integration between sectors is equally important, since although one area is often more likely to use AI than another, they are all connected in some way and access to this data needs to be meticulously structured so that the business strategy is not compromised.
In this way, companies specialized in digital evolution are great allies in the data structuring process. Through a assessment, it is possible to identify deficiencies, risks, what needs to be improved and how to do it, to carry out the necessary actions in an optimized and assertive manner.
In general terms, investment in disruptive technologies with Artificial Intelligence will be assertive if all resources can be explored and, for this, it is time to structure the data, to ensure that the tools work accurately in the future and this results in automation of activities and cost reduction.
*Nelson Simões is Microsoft Sales Lead at SoftwareOne, a leading global provider of end-to-end solutions for software and cloud technology.
Notice: The opinion presented in this article is the responsibility of its author and not of ABES - Brazilian Association of Software Companies
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