The data, the everything

Artificial intelligence, predictions, and the conclusions of any business rely on data management. Without structured data, an AI could not be trained accurately; without past events stored as data, it would be impossible to apply functions and prediction models, as well as indicators reflecting the current state of any organization, based on information collected and presented appropriately.

From this personal conclusion arises my interest in data science. Ultimately, it's what we do daily to make decisions and take action.

While it sounds promising, those of us with experience know that each step of the process requires considerable effort, from data collection to prediction model generation. Therefore, I believe that strengthening the improvement of these processes gives us an advantage in the development of our professional roles and in finding solutions to society's general problems.

Who can get involved? Everyone interested. Thus, from those using simple spreadsheets and wishing to create a computer system to those seeking data sources to train their prediction models, all of us, at different scales, can share experiences.

One of my contributions to data collection is to recommend exploring and training in no-code tools. For those who only need to work at the local level, they could learn more about their tools and link them with others. Excel offers outstanding options for data collection, table creation, and a dashboard with controls. Additionally, if we wish, we could use spreadsheets in Google Data Studio, Tableau, or Power BI (as examples), which would be a significant step. The next step is to dive into the world of prediction. After the advent of Chat GPT and Bart, society has realized that AI is closer and more accessible than we thought. In this sense, within large software companies, there are cloud infrastructures that allow for training, testing, and application of models, such as Azure, Google Cloud, IBM Cloud Solutions, AWS, among others.

Another important contribution, if I may call it that, is the importance of continuous education. I highlight the work of many independent individuals who enrich networks and digital training media, as well as that of cloud providers, who are documenting more and more. Finally, digital schools, which I personally find extremely useful and revolutionary. As you can see on my LinkedIn profile, I am a user of many of these digital media, which have allowed me to develop in this field.

I consider it essential to strengthen communication skills and interpersonal relationships, as this greatly facilitates these processes. Through effective communication of needs, it is possible to create databases, systems, and present results, all in line with the available work methodologies today. Aware that each step of the process requires certain personal skills, after all, it all comes down to us, human beings using tools.