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Top Strategic Technology Trends 2023

Source: Gartner

  1. Digital Immune System

A DIS can be used as a frame of reference for investing in a set of practices to improve the quality and resilience of business-critical systems. The creation and evolution of a DIS leads to a more resilient business outcome and creates business value for both business and IT stakeholders. As such, it enables you to play an essential role in connecting software development to business outcomes and supporting customer experience strategies through modern technologies and practices.




2. Applied Observability


Applied observability is the applied use of observable data in a highly orchestrated and integrated approach across business functions, applications and I&O teams. The observable data is cataloged, engineered, and layered with semantic understanding for a business context, which results in both active and passive metadata. The architected use of this metadata drives better, faster, more consistent, and more effective business and IT decisions.





3. AI Trust, Risk and Security Management (AI TRiSM)


AI TRiSM supports AI model governance, trustworthiness, fairness, reliability, robustness, efficacy, and privacy. It includes solutions, techniques, and processes for model interpretability and explainability, AI privacy, model operations, and adversarial attack resistance.




4. Industry Cloud Platforms


Industry cloud platforms combine software, platform and infrastructure as a service (IaaS) with tailored, industry-specific functionality that can more easily adapt to the relentless stream of disruptions in their industry. Enterprises can use the packaged business capabilities (PBCs) of industry cloud platforms as building blocks to compose unique and differentiating digital initiatives. That provides agility, innovation, and reduced time to market while avoiding lock-in.




5. Platform Engineering


Platforms provide a curated set of tools, capabilities and processes selected by subject matter experts and packaged for easy consumption by end users. The goal is a frictionless self-service experience that offers the right capabilities to enable users to do valuable work with as little overhead as possible, increasing end users’ productivity and reducing their cognitive burden. The platform should include everything the user team needs, presented in whatever manner best fits best with their preferred workflow.




6. Wireless-Value Realization


Wireless-value realization covers everything from traditional end-user computing, through support for edge devices, to digital tagging solutions. All of which will need connectivity to operate and require a spectrum of wireless solutions to cater to all

environments. Networks will go well beyond pure connectivity to become a source of direct business value. Wireless is moving from a communications technology to become a broader digital innovation platform.




7. Superapps


A superapp is more than a composite application or portal that aggregates services, features and functions into a single user interface. A superapp represents the ultimate manifestation of a composable application and architecture.




8. Adaptive AI


Adaptive AI systems allow for model behavior change post-deployment by learning behavioral patterns from past human and machine experience and within runtime environments to adapt more quickly to changing real-world circumstances. AI engineering provides the foundational components of implementation, operationalization and change management at the process level that enable adaptive AI systems.




9. Metaverse


Metaverse technologies allow people to replicate or enhance their physical activities. This could happen by transporting or extending physical activities to a virtual world or by transforming the physical one. Think of metaverses as a combinatorial innovation and not a single technology. Implications of emerging metaverse technologies will vary across industries.




10. Sustainable Technology


Sustainable technology is a framework of digital solutions that can be used to enable ESG outcomes.

  • Environmental technologies: Prevent, mitigate and adapt to risks in the natural world.

  • Social technologies: Improve human rights outcomes, well-being and prosperity.

  • Governance technologies: Strengthen business conduct and capacity building.



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