Gartner's Innovative Technology Trends For 2023

Gartner expects these following technology trends to act as force multipliers of digital business and innovation over the next three to five years.

FREMONT, CA: Gartner highlights technological trends that are important to the industry each year. The list includes the following strategic themes that CEOs can use to generate growth, digitisation, and efficiency while establishing CIOs and IT executives as key business partners.

According to David Groombridge, the VP Analyst at Gartner, CEOs are looking for more direct digital connections with their consumers and are aware that they must speed up the adoption of digital business. But they also want to be effective and safeguard profits and cash flow with an eye on potential economic problems in the future.

Data Fabric

Regardless of where the data is located, data fabric offers flexible, resilient integration of data sources across platforms and business users, making data accessible everywhere it is needed. Analytics can help data fabric learn and actively suggest where data should be used and altered. This can cut back on data management work by as much as 70 per cent.

Cybersecurity Mesh

A flexible, modular architecture called a cybersecurity mesh connects dispersed and unrelated security services. In order to increase overall security and bring control points closer to the assets they are intended to safeguard, cybersecurity mesh enables best-of-breed, standalone security solutions to cooperate. In both cloud-based and non-cloud systems, it can swiftly and accurately validate identity, context, and policy adherence.

Privacy-Enhancing Computation

Due to changing privacy and data protection legislation and rising consumer concerns, privacy-enhancing computation safeguards the processing of personal data in untrusted contexts. Various privacy-protection strategies are used in privacy-enhancing computation to derive value from data while still adhering to compliance standards.

Cloud-Native Platforms

Building durable, elastic, and agile new application architectures using cloud-native platforms enables you to adapt to quick changes in the digital landscape. Cloud-native systems are an improvement over the old lift-and-shift method of using the cloud, which misses out on its advantages and makes maintenance more difficult.

Composable Applications

Composable apps are created using modular, business-focused building blocks. Composable applications speed up the time to market for innovative software solutions and unleash enterprise value by making it simpler to use and reuse code.

Decision Intelligence

An effective strategy to enhance corporate decision-making is called decision intelligence. In order to inform, learn from, and improve decisions, it represents each choice as a collection of processes. Using enhanced analytics, simulations, and AI, decision intelligence may support, improve, and possibly automate human decision-making.

Hyperautomation

The goal of hyper-automation is to quickly discover, validate, and automate as many business and IT operations as is practical. Scalability, remote operation, and business model disruption are made possible by hyper-automation.

AI Engineering

To speed up the supply of AI, AI engineering automates updates to data, models, and applications. AI engineering will operationalize the delivery of AI in conjunction with sound AI governance to guarantee its continued business value.

Distributed Enterprises

To enhance staff experiences, digitalise customer and partner touchpoints, and expand product experiences, distributed organisations reflect a digital-first, remote-first company strategy. The needs of remote workers and customers, who drive demand for virtual services and hybrid workspaces, are better met by distributed organisations.