Posted inEmergent Tech

10 technology trends you should know for 2023

Gartner unveiled the top strategic technology trends for 2023, which it said are built around three themes — optimise, scale and pioneer

CIOs and IT executives must look beyond cost-savings to new forms of operational excellence while continuing to accelerate digital transformation, according to global analyst firm Gartner.

Gartner unveiled the top strategic technology trends for 2023, which it said are built around three themes — optimise, scale and pioneer.

Frances Karamouzis, Distinguished VP Analyst, Gartner, noted that these tech trends can “help organisations optimise resilience, operations or trust, scale vertical solutions and product delivery, and pioneer with new forms of engagement, accelerated responses or opportunity.”

David Groombridge, Distinguished VP Analyst at Gartner, added, “However, in 2023, delivering technology will not be enough. These themes are impacted by environmental, social and governance (ESG) expectations and regulations, which translate into the shared responsibility to apply sustainable technologies. Every technology investment will need to be set off against its impact on the environment, keeping future generations in mind. ‘Sustainable by default’ as an objective requires sustainable technology.”

Here are the top strategic technology trends for 2023:

  1. Sustainability

    Sustainability traverses all of the strategic technology trends for 2023. In a recent Gartner survey, CEOs reported that environmental and social changes are now a top three priority for investors, after profit and revenue. This means that executives must invest more in innovative solutions that are designed to address ESG demand to meet sustainability goals. To do this, organisations need a new sustainable technology framework that increases the energy and material efficiency of IT services, enables enterprise sustainability through technologies like traceability, analytics, renewable energy and AI, and deploys IT solutions to help customers achieve their own sustainability goals.

  1. Metaverse
    Gartner defines a metaverse as a collective virtual 3D shared space, created by the convergence of virtually enhanced physical and digital reality. A metaverse is persistent, providing enhanced immersive experiences. Gartner expects that a complete metaverse will be device-independent and won’t be owned by a single vendor. It will have a virtual economy of itself, enabled by digital currencies and non-fungible tokens (NFTs). By 2027, Gartner predicts that over 40 percent of large organisations worldwide will use a combination of Web3, AR cloud and digital twins in metaverse-based projects aimed at increasing revenue.

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  1. Superapps
    A superapp combines the features of an app, a platform and an ecosystem in one application. It not only has its own set of functionalities, but it also provides a platform for third parties to develop and publish their own mini-apps on. By 2027, Gartner predicts that more than 50 percent of the global population will be daily active users of multiple superapps.
  2. Adaptive AI
    Adaptive AI systems aim to continuously retrain models and learn within runtime and development environments based on new data to adapt quickly to changes in real-world circumstances that were not foreseen or available during initial development. They use real-time feedback to change their learning dynamically and adjust goals. This makes them suitable for operations where rapid changes in the external environment or changing enterprise goals require an optimised response.
  3. Digital immune system
    Seventy-six percent of teams responsible for digital products are now also responsible for revenue generation. CIOs are looking for new practices and approaches that their teams can adopt to deliver that high business value, along with mitigating risk and increasing customer satisfaction. A digital immune system provides such a roadmap.

    Gartner predicts that by 2025, organisations that invest in building digital immunity will reduce system downtime by up to 80 percent – and that translates directly into higher revenue.

  1. Applied observability 
    Observable data reflects the digitised artifacts, such as logs, traces, API calls, dwell time, downloads and file transfers, that appear when any stakeholder takes any kind of action. Applied observability feeds these observable artifacts back in a highly orchestrated and integrated approach to accelerate organisational decision-making.
  2. AI trust, risk and security management
    Many organisations are not well prepared to manage AI risks. A Gartner survey in the US, UK and Germany found that 41 percent of organisations had experienced an AI privacy breach or security incident. However, that same survey found that organisations that actively managed AI risk, privacy and security achieved improved AI project results. More of their AI projects moved from proof-of-concept status into production and achieved more business value than did AI projects in organisations that did not actively manage these functions.

    Organisations must implement new capabilities to ensure model reliability, trustworthiness, security and data protection. AI trust, risk and security management (TRiSM) requires participants from different business units to work together to implement new measures.

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  1. Industry cloud platforms
    Industry cloud platformsoffer a combination of SaaS, platform as a service (PaaS) and infrastructure as a service (IaaS) providing industry-specific sets of modular capabilities to support specific industry business use cases. Enterprises can use the packaged capabilities of industry cloud platforms as building blocks to compose unique and differentiating digital business initiatives, providing agility, innovation and reduced time to market, while avoiding lock-in.

    By 2027, Gartner predicts that more than 50 percent of enterprises will use industry cloud platforms to accelerate their business initiatives.

  1. Platform engineering
    Platform engineering is the discipline of building and operating self-service internal developer platforms for software delivery and life cycle management. The goal of platform engineering is to optimise the developer experience and accelerate product teams’ delivery of customer value.

    Gartner predicts that 80 percent of software engineering organisations will establish platform teams by 2026 and that 75 percent of those will include developer self-service portals.

  1. Wireless value realisation
    While no single technology will dominate, enterprises will use a spectrum of wireless solutions to cater for all environments, from Wi-Fi in the office, through services for mobile devices, to low-power services and even radio connectivity. Gartner predicts that by 2025, 60 percent of enterprises will be using five or more wireless technologies simultaneously.

    As networks move beyond pure connectivity, they will provide insight using built-in analysis and low-power systems will harvest energy directly from the network. This means the network will become a source of direct business value.