CIOs should add value to these three main business drivers for CEOs for 2022 – namely Growth, Digitalisation and Efficiency – by amplifying them and providing relevant creative technology coupled with a scalable base. These same business drivers form the golden thread through all twelve of the Gartner’s top strategic tech trends that organisations need to explore in 2022.
During the virtual Gartner IT Symposium/Xpo 2021 (18 – 21 Oct), David Groombridge, Gartner’s research vice president explained that Garner has divided the 12 top strategic technology trends for 2022 into three thrusts, namely, to Accelerate Growth, Sculpture Change and Engineer Trust to assist CEOs and CIOs to address their respective priorities for 2022. These top strategic technology trends highlight focus areas that will drive significant disruption and opportunity over the next five to ten years.
1. Generative Artificial Intelligence (AI)
Generative AI is a new and powerful artificial intelligence. It incorporates machine learning methods that learn about content or objects from their data, and use it to generate brand-new, completely original, realistic artifacts. Additionally, generative AI may be able to disrupt creative processes in engineering, manufacturing, architecture and design through its ability to learn about artifacts from data
It can be used for many beneficial activities including the creation of code, facilitating drug development and targeted marketing. However, it can also be misused in the areas of scamming, fraud, disinformation, forged identities, etc.
2. Autonomic Systems
As enterprises grow, traditional programming or simple automation will not scale, according to Groombridge. Autonomic systems are self-managing physical or software systems that learn from their environments. Unlike automated or even autonomous systems, they can dynamically modify their algorithms without an external software update, enabling them to rapidly adapt to new conditions in the live environment, much like humans can.
It is expected that autonomic systems will become common in robots, drones, manufacturing machines and smart spaces, said Groombridge.
3. Total Experience (TX)
TX is a business strategy or a force multiplier for a growth strategy that combines the disciplines of customer experience (CX), employee experience (EX), user experience (UX) and multi-experience (MX), Groombridge said. The goal of TX is to drive greater customer and employee confidence, satisfaction, loyalty and advocacy. All discipline leaders should be equally responsible for meeting the combined needs of employees and customers, said Groombridge. He added that traditional management approaches will no longer be applicable.”
4. Distributed Enterprise
With the rise in remote and hybrid working patterns, traditional office-centric organisations are evolving into distributed enterprises composed of geographically dispersed workers
Distributed enterprise is a virtual-first, remote-first architectural approach to digitise consumer touchpoints and build out experiences to support products.
Distributed enterprises arose from two different areas. On one side, employees working remotely as a result of COVID-19 needed different tools and increased flexibility. On the other side, consumers are increasingly unavailable via traditional, physical contact methods.
5. AI Engineering
Despite AI providing game-changing solutions to enable enterprises to emerge from the pandemic in a strong position, merely adopting AI simply will not be enough. Enterprises must optimise AI.
AI engineering is the discipline of operationalising updates to AI models, using integrated data and model and development pipelines to deliver consistent business value from AI. It combines automated update pipelines with strong AI governance.
The need for better and more widespread automation has been highlighted by the increased focus on growth, digitalization and operational excellence. This need for better automation can be facilitated through the use of hyper-automation that is a business-driven approach to identify, vet and automate as many business and IT processes as possible. It requires the orchestrated use of multiple technologies tools and platforms, including RPA, low-code platforms, and process mining tools.
7. Decision Intelligence
Decisions are frequently influenced by a multitude of experiences and biases, but organisations are pressurised to make faster and better decisions in a world of agility.
The creation of decision intelligence platforms to support, augment and automate decisions are enabled by integrating data, analytics and AI.
8. Composable Applications
Fusion teams face many challenges such as lacking coding skills, or they may be locked into the wrong technologies, and are often highly pressurised to deliver.
Composable applications are made up of packaged-business capabilities (PBCs) or software-defined business objects. Fusion teams can self-assemble the re-usable modules created by PBCs to rapidly create applications thereby reducing time to market.
9. Cloud-Native Platforms
When legacy workloads are moved “as-is” to the cloud, they almost always require a lot of maintenance and therefore do not benefit from the advantages associated with moving applications to the cloud.
Cloud-native platforms use the core elasticity and scalability of cloud computing to deliver faster time to value. They reduce dependencies on infrastructure, thereby allowing enterprises more time to focus on application functionality.
10. Privacy-Enhancing Computation
Data’s real value exists in how it’s used for AI models, analytics, and insight and not in simply having that data.
Data can easily be shared across ecosystems, creating value whilst preserving privacy through the use of privacy-enhancing computation (PEC) approaches. These approaches vary, but include encrypting, splitting, or pre-processing sensitive data to allow it to be handled without compromising confidentiality.
11. Cybersecurity Mesh
A cybersecurity mesh architecture provides a composable approach to security based on identity to create a scalable and interoperable service. The common integrated structure secures all assets, regardless of location, to enable a unified security approach that extends across all IT services within an enterprise.
Digital business assets are distributed across an enterprise’s cloud infrastructure and data centres. When traditional, fragmented security approaches focused on enterprise perimeters are employed, this leaves the enterprise open to breaches.
12. Data Fabric
Data fabric integrates data across platforms and users, making data available everywhere it’s needed. The value of data has never been clearer, but it often remains siloed within applications, which can lead to ineffective use of that data. Data fabric can learn what data is being used within inbuilt analytics reading metadata. Its real value exists in its ability to make recommendations for different and better data, reducing data management activities by up to 70%.