Data protection, native cloud, artificial intelligence, hyperautomation – these are some of the technology trends that Gartner consultants have announced for the coming year.
Recently, the consulting firm Gartner announced the main technology trends for companies to watch in 2022. Among the main solutions, artificial intelligence and cloud computing deserve special mention.
Planning for the future is a question many leaders ask, especially after a year of uncertainty, challenges, and resilience like 2021.
After this challenging year, the trend is for CIOs to invest more and more in IT to enable growth and innovation, creating scalable and resilient strategies and techniques for digital investments.
Below is a list of the main technology trends for the coming year, according to Gartner.
Data Protection
Privacy-Augmented Computing (PEC) is among the top trends for the coming year. According to Gartner consultants, CIOs must avoid any loss of customer trust due to privacy breaches. PEC techniques (which protect personal information at a data level) securely share, aggregate, and analyze data without compromising user privacy.
Native cloud
Cloud-native platforms are the main highlight of technological trends for 2022.
This term refers to an approach to running applications that take full advantage of a cloud computing delivery model rather than an on-premises data center.
Just like the native approaches of a cloud Cloud Native Security Platforms (CNSPs) are reshaping how the cloud is protected, changing the way it is used. CNSPs leverage the core capabilities of cloud computing to deliver scalable IT-related resources "as a service" to technology creators using internet technologies, resulting in faster time to market and reduced costs. Cloud native stands out for its speed and agility.
Gartner predicts that the native cloud experience growth of over 95% in new digital solutions and initiatives, practically 55% more than in 2021.
Decision intelligence
Considered a new discipline that integrates applied data science, mathematics, statistics, social and behavioral sciences, and strategic management principles, decision intelligence goes far beyond BI, being seen as a fundamental strategy for using data in an integrated and organic way to improve and boost business. Gartner predicts that one-third of large companies will increase their competitive advantages using decision intelligence.
data fabric
Data Fabric is defined as a "data mesh," meaning it's a data management architecture that can optimize access to distributed data and intelligently organize it to deliver self-service to data consumers. It's a way for companies to handle the volume of data generated by different platforms.
With a data mesh, your business users and data scientists can access reliable data more quickly for their machine learning models, applications, and AI, helping to improve assertive decision-making, boosting business profits, reducing data management efforts by up to 70%, and significantly lowering costs and risks.
Generative Artificial Intelligence
Considered a machine learning method, Generative AI is one of the most powerful artificial intelligence techniques. Learning is based on data, allowing machines to learn about content or objects, generating increasingly innovative creations. From this data, it's possible to apply it to various functionalities, such as new software code.
It is a promising technology with a vast field of application.
Hyper-automation
The term hyperautomation refers to a combination of advanced technologies used to scale automation capabilities within a company, enabling accelerated growth and business resilience by rapidly identifying and automating as many processes as possible.
With this technology, the company has greater peace of mind, as it avoids human error by automating processes through manual and repetitive tasks, allowing for greater agility, productivity, and scalability.
Cybersecurity mesh
Given the existing concern for user data security, investment in cybersecurity networks (adopting control resources at critical points) is expected to increase next year.
With a flexible architecture, the cybersecurity mesh ensures protection against transactional attacks that can be combined with security services, protecting consumers from cybercrime and other breaches, regardless of whether their data is in the cloud or in some internal company infrastructure.
Conclusion
Accelerating growth through intelligent strategies and solutions that facilitate assertive decision-making, benefiting from confidence in engineering, stimulating innovation in companies, increasing the privacy, protection, and confidentiality of user data, and investing in cloud-native platforms are reasons not only for technological trends but mainly for combining what we already have in terms of technology with what can be expanded, explored, and understood in the increasingly scalable and resilient digital universe.
Our advice for the coming year: invest in and explore the digital age and all the benefits it can bring to your business.
