Technology has been taking up more and more space in the corporate landscape and is currently present in the most diverse economic sectors around the world.
Undoubtedly, the intensification of the use of technological resources is mainly due to the latest innovations, which have made processes more practical, automated, and less prone to failures and interruptions, such as Artificial Intelligence and the upgrade in the data area.
According to a survey conducted by the consulting firm Gartner, by 2024, 75% of the population will have their data and personal information protected by more modern protection and privacy regulations. Everything indicates that next year will be marked by a broad transformation in this area.
According to the same study, 60% of government investments in AI and data analysis will have a direct impact on decision-making and operational results in real time.

Considering data as an immensely valuable currency in the digital landscape, it is certain that companies, as well as professionals, must prepare to operate in a universe increasingly integrated with AI solutions to remain competitive and not lose ground.

To help you in this mission, in today's blog post, we, from CodeBlog, have listed 5 trends related to data to keep an eye on.

Want to know what they are? Then, read on and check out the selection of trends that will capture the market's attention starting next year!

1. Data governance:

Essential in modeling new technologies, data governance is a concept that provides a solid foundation for the tools used to generate value in corporate decision-making. It encompasses the establishment of procedures, policies, duties, and responsibilities, with the aim of ensuring the quality, security, and integrity of the data collected and stored.
In fact, in a scenario where data volume grows exponentially in various environments, it is essential to establish standards and guidelines for collection, storage, access, and sharing, ensuring compliance of operations with current regulations.

2. Consumer protagonism:

More than solving their pain points with products or services, modern consumers prioritize positive and personalized experiences. Therefore, in addition to convenience and practicality, they also look for brands that display values compatible with theirs.
This goes beyond deliveries and also involves service, design, packaging, speed, and sophistication.
In the coming years, more than ever, to guarantee a brand's reach and customer loyalty, it will be necessary to clearly understand what consumers are looking for. The good news is that this task can also be simplified by technology, more precisely by data analysis, which allows organizations to capture information about consumer behavior, preferences, and demands to respond more quickly with personalized offers and solutions.

3. Collaboration and integration

It must be considered that machines did not emerge to replace human capital, but rather, to perform repetitive tasks and free teams from bureaucratic processes, ensuring more freedom for a team to operate creatively and strategically.
Given this perspective, it is necessary to understand collaboration and integration between humans and technologies as an indispensable driving force for the success of organizations.
After all, digital transformation is not just about technology. The human factor is fundamental for innovation and value generation.
An example of this, which is indeed already happening, is the application of technologies such as IoT (Internet of Things) and AIs in corporate environments, both to optimize operations and to open up new possibilities for teams to measure clear data and intensify the assertive development of personalized products and services.

4. Training in ethics and AI

It is certain that, in order for professionals to be able to deal with machines, extracting all the potential they have to offer, they need, above all, expertise and training.
In this scenario, qualification, as well as the continuous preparation of human resources, is a decisive strategy to implement and maintain ethics during the application of artificial intelligence.
To achieve this, companies must invest in a culture of learning, with meetings, dialogues, and training programs, to ensure that their employees keep up with and adapt to technological evolution.
This is the only viable path to ensure the proper development and use of AI, taking into account factors such as privacy, transparency, protection, and algorithmic bias. Beyond an obligation, maintaining ethics is also an indispensable competitive advantage for business to gain customers' credibility.

5. Hybrid cloud and multi-cloud

That the future of data is hybrid is nothing new. But, to understand the real complexity and meet the requirements of an IT infrastructure, in the coming years, companies and professionals will have to adapt their processes to hybrid tools, such as cloud and multi-cloud.

As the name implies, hybrid cloud is the combination of public and private cloud and its mission is to extract the best of both models to meet all the company's needs.
In practice, the solution operates with exclusive servers to ensure the storage of the most sensitive, confidential, or important data.
On the other hand, it also has some shared software to store less sensitive information.
In summary, the hybrid model is capable of promoting a high level of information security, with relatively lower costs. After all, not all data is kept on servers with reinforced protection.

Meanwhile, the so-called multi-cloud refers to the strategy of using cloud services from multiple providers to meet an organization's needs. This involves distributing workloads and applications across different cloud environments to increase flexibility and mitigate risks associated with reliance on a single cloud service provider.

By betting on these solutions, organizations gain more flexibility and are able to balance costs, performance, and security more efficiently, defining which infrastructure is most suitable for each application.

Anyway, dear reader, did you enjoy discovering the 5 data trends to keep an eye on in 2024? In your opinion, which of them is the most challenging?

If this article was interesting to you, keep an eye on CodeBit's blog, and stay on top of all the news, trends, and updates from the tech universe!

A big hug, and see you in the next post!