Currently, more than 80% of companies in different industries are going through a period of digital transformation. Companies are investing heavily in new tools and technologies, specially designed to improve productivity, drive efficiency and increase customer satisfaction. While there are many options available to businesses in search of new and innovative software, these solutions are not as versatile as they seem. For many businesses, it is necessary to develop unique, custom software from scratch, tailored to their own special requirements. Custom enterprise software development allows companies to access an entire project team or key experts capable of augmenting their existing workforce, while creating innovative new technologies. In our article, we'll explore the key benefits of custom software development and why it could be the ideal solution for your business. What is custom software development? Custom software product development is essentially a process of creating s

If you Google the topic of artificial intelligence , you will most likely go down a deep and winding rabbit hole. If you venture just a little below the surface, you'll see such simple terms as “perceptron,” “sigmoid neuron,” and “nonlinearly separable classifications.” To avoid getting stuck in this hole, this article will give you a brief and clear explanation of AI vs. Generative AI. We'll also cover three other common types of AI, giving you enough information to understand the basics without feeling like you need a master's degree in AI development. 4 types of artificial intelligence (AI) Generative AI. What it does: Generative AI creates something new from what it has learned during training. Its result can be a code, a recipe, an image, etc. Example: You probably learned about the concept of generative AI through ChatGPT, unless you've been isolated from the world for the last six months (in which case, welcome back!). ChatGPT is a tool that can chat with someone as if they

Carriers of a large volume of data and information, telecommunications companies must be attentive to the management of digital documents. Efficient digital document management is essential for telecommunications operators. Especially in relation to the dynamism that work requires, with increasingly faster responses and maximum data security, companies must be aware of this. This is because telecommunications operators work with a large volume of information and documents, including sensitive user data , so the company must comply with the LGPD. Therefore, properly managing all documentation is a fundamental part of compliance work, since the lack of assertive and efficient digital document management can bring serious problems to operators and clients. Technology as an ally for efficient management Document management is a factor for the company to find an agile response to customers, and also to coordinate all service work and problem resolution. However, the costs genera

The global fintech market was valued at around $227 billion in 2023, and is expected to exceed $917 billion by 2032. As financial technology evolves, companies and customers are interacting with financial services in different ways. . Two business models that represent this change are integrated finance and banking as a service (BaaS). Integrated finance is expected to reach $7 trillion in total financial transactions through 2026 in the US alone. Integrated finance and BaaS eliminate the need for intermediaries from traditional financial institutions. They are redefining the way people interact with money and the types of companies that participate in these interactions. However, embedded finance and BaaS models differ in the methods used, technical implementations, and target markets. Below, we will discuss their differentiating technical aspects and explain how companies use these models to create a wide range of financial services for customers and other businesses. “Integrated f

For some time now, big data has been a controversial topic. While its defenders highlight the great usefulness of big data in different areas, its detractors express doubts regarding the protection of people's privacy. Edward Snowden's controversial statements regarding espionage and surveillance practices carried out globally have only fueled the fire of general distrust regarding the protection of citizens' personal data . In this general atmosphere of suspicion, everything that revolves around big data comes loaded with negative connotations although, in reality, this aspect is only part of the definition of this concept. What is big data? This term, or its equivalent “massive data”, refers to a volume of data so complex that it cannot be processed with any type of traditional software and hardware. In itself, it is a neutral concept , since it can also refer to an endless amount of data from research. However, and given that the data collected may be of a personal nature (users'