The world has changed a lot after the security measures imposed by the covid-19 pandemic and technology has been one of the main allies of organizations to adapt to the new reality. Digitization and cybersecurity are prominent and focus topics for companies. Now, everyone already knows that investing in technology is no longer a differentiator to stand out, but a mandatory item for all companies that want to survive in the market.

work in the IT and data area, staying on top of technological trends is essential to stand out professionally and generate value deliveries , as you will be able to learn about new tools and techniques that will help you solve problems.

Data Fabric e Data Quality Management

The first trend is Data Fabric . The term refers to a data architecture that provides flexible and resilient integration of data sources across platforms and business users. The result is data available everywhere it is needed. This is the key to modernizing data management and integration. After all, technology can learn from insights to actively recommend where data should be used and changed.

By implementing this architecture, locating the data, integrating it with other sources, and making decisions based on the analysis can be much faster and more convenient. And this is where Data Fabric relates to Data Quality Management (DQM). Quality data management continues to be one of the challenges for data analysts around the world. Making good decisions from a good analysis of the available data is one of the most promising developments in BI .

Cybersecurity Mesh

Cybersecurity Mesh, loosely translated “cybersecurity mesh”, is a modern, flexible and composable approach that integrates security services that are widely distributed and disparate. It’s a valuable architecture because many of a company’s IT assets operate across different locations and platforms.

Cybersecurity Mesh enables standalone security solutions to work together to improve overall enterprise security . With this we have a quick and reliable verification of identity, context and adherence to security policy in digital environments.

This technological trend is directly related to cyber crimes .

• According to Cybersecurity Ventures’ 2020 annual report , global cybercrime costs are expected to grow by 15% annually over the next five years.
• This means that this type of crime will cost the world an estimated $10.5 trillion annually by 2025.
• This problem directly affects incentives and investments for innovation and affects the trust of publics and markets in relation to the universe of technology.
• Therefore, it is important to pay attention to digital security to avoid possible attacks and avoid damage.

Also Read: Cyber Security and Technology Predictions

Privacy-Enhancing Computation

Privacy-Enhancing Computation (PEC), which in free translation we can understand as “privacy computing”, is another trend that addresses the security issue. Data protection is a serious issue that has been discussed a lot lately. In a survey conducted by MasterCard in July of this year, it is shown that 73% of the public reported having already suffered some type of digital threat , which reveals that the fear of cyber attacks is high.

People are increasingly concerned about the personal information they need to make available on the Internet. But according to Gartner , privacy computing protects data while it’s in use . This protection happens through three technologies:

• A trusted environment in which sensitive data can be processed and analyzed
• Perform processing and analysis in a decentralized manner
• Data encryption and algorithms before analysis or processing.
• Being aware of this trend is very important to align the company with privacy and data protection laws and also offer security to all your company’s audiences.

Decision Intelligence

Simply put, Decision Intelligence is an approach that helps organizational decision making .It is a strategy that combines with technologies such as BI, AI and Machine Learning to take advantage of the data analysis that these tools offer and assist managers in solving problems in a practical, easy and accurate way.

This topic is extensively studied by Cassie Kozyrkov , Head of Decision Intelligence at Google, who defines Decision Intelligence as “the ability of a company to process large amounts of data to make decisions”.

AI Engineering

AI engineering is a field of research and practice that involves principles from systems engineering, software engineering, computer science, and design to create AI systems according to human needs. Typically, these systems operate in environments with a high degree of complexity, ambiguity and dynamism.

This field also aims to provide data, models and application updates to streamline AI processes . Combined with strong governance, AI engineering will operationalize the delivery of these systems ensuring ongoing business value.

Total Experience

The total experience is a strategy – it can even be considered a culture – to integrate the experience of all the publics reached by the company with the objective of accelerating growth and generating positive impact actions.

This strategy takes into account a holistic management of a company’s points of contact with its audiences and results in greater trust, satisfaction, loyalty and defense of customers and employees. A company that includes this type of practice in its actions gains in financial and reputational results.

Generative AI

Generative Artificial Intelligence is about programs capable of learning through texts, audios or images to create new plausible content. The Massachusetts Institute of Technology’s MIT Technology magazine brought a review that described Generative AI as one of the most promising technological advances in the world of artificial intelligence in the last decade.

Knowing the technological trends presented here and seeking to implement them without having a good data management plan can make the process a little longer. The good news is that you are not alone in your mission to face the challenges that the technological world brings. We know how urgent the IT and innovation area is to find solutions to improve the relationship between companies and data.

Also Read: How to Beware of malware cybercrime