Every year, Gartner releases a list of the top strategic technology trends for the year. This year, the list includes three themes: accelerating growth, sculpting change, and engineering trust. Gartner renames and neologizes the trends, and takes a close look at what each one means.
Generative AI
Generative AI, also known as artificial intelligence, is a disruptive technology that will change the way we live our lives. In the coming years, this tech is expected to be used for a wide variety of applications. One example is digital advertising, where generative AI can be used to create new website code using machine learning models, preserving the likeness of the original content. With this technology, 60% of design work can be automated.
Generative AI works by using previously created content, such as audio and image files, and generating similar artificial content. It can be trained to learn from the patterns in these files and produce content without the bias of human experience or thought. The key is to develop appropriate governance around this technology in order to take advantage of its transformative potential.
Hyperautomation
Hyperautomation is one of the latest tech trends that Gartner has forecasted will dominate the enterprise. It was first recommended in its 2020 technology trend forecast and predicts that technological advances will create superhuman capabilities. By 2025, hyperautomation will touch 20% of products and services.
It’s still early in its development, but hyperautomation is already being adopted by many companies. It can be used to streamline manual processes and automate repetitive tasks at scale. As a result, businesses can do more with less. This helps them provide better service to consumers and stakeholders, which leads to higher ROI.
Privacy-enhancing computation
Privacy-enhancing computation is one of Gartner’s latest technology trends for the next five years, and it’s an important topic for businesses. This type of technology ensures that sensitive data is secure in use and remains confidential when it is stored or transferred. Gartner says that over half of large enterprises will be leveraging this technology by 2025.
Privacy-enhancing computation is an essential part of achieving data security and reducing security risks in business environments. It’s not an easy task to implement and can take several years to complete, but it’s necessary to protect data and prevent breaches of personal information. Without privacy protection, organizations run the risk of being targeted by criminals and losing valuable data. Additionally, data protection laws require organizations to safeguard consumer data and put in place systems to protect them from financial losses associated with data breaches.
Composable applications
In a world where distributed teams and a distributed workforce are the norm, the ability to easily scale and modify an application has become imperative. In order to do this, organizations must develop technology that facilitates the delivery of applications in a resilient and agile manner. Composable applications are a great way to achieve this. They empower organisations to respond quickly to customer demands and unwelcome changes, and they can be built using business-centric modular components such as APIs, Microservices, and Event-driven architecture.
Composable applications are a development methodology that allows companies to reuse code from existing applications and repurpose individual functional pieces. In addition to reusing existing code, this approach enables organizations to rapidly deploy new applications and redevelop old ones, thereby lowering costs and reducing time-to-market.
