Top Ten Strategic Tech Trends in 2023
In an uncertain future with the threat of rising costs worldwide and crises in supply chains, energy sourcing and digital skills, your business still needs to identify and commit to strategic outcomes and initiatives for the year. It must know its goals clearly - whether it's to save costs, grow or reinvent your business model, technology will be a key factor. You have to know when and where which tech trends can be leveraged in the next few years, whatever your business needs. To help, Gartner recently published an overview of the ten top strategic tech trends and listed their opportunities, benefits and use cases.
In this write-up, I am going to summarize these as best as I can.
i) Digital Immune System - A digital immune system (DIS) combines practices and technologies from observability, artificial intelligence (AI)-augmented testing, chaos engineering, autoremediation, site reliability engineering and software supply chain security to increase the resilience of products, services and systems.
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.?
ii) Applied Observability - Applied observability is the applied use of observable data in a highly orchestrated and integrated approach across business functions, applications and infrastructure and operations (I&O) teams to enable the shortest latency from action to reaction and proactive planning of business decisions.
Applied observability allows enterprises to make faster, more accurate future decisions. By applying this systematically, we can reduce the latency for response and optimize business operations in real time.
iii) AI Trust, Risk and Security Management - AI requires new forms of trust, risk and security management that conventional controls don’t provide. New AI TRiSM capabilities ensure model reliability, trustworthiness, security and privacy.
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
iv) Industry Cloud Platforms - Industry clouds create value for organizations by incorporating cloud services traditionally purchased separately into pre-integrated but customizable (composable) industry relevant solutions. As such, they can increase organizational agility, speed innovation and accelerate time to value.?
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.
v) Platform Engineering - To help developers, data scientists and end users, and reduce friction for the valuable work they do, forward-thinking companies have begun to build operating platforms that sit between the user and the backing services on which they rely.
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.
vi) Wireless Value Realization - The integration of multiple wireless technologies will provide a more cost-efficient, reliable and scalable technical foundation that reduces capital expenditure.
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.
vii) Superapps - A superapp is an app that provides end users (e.g., customers, partners or employees) with a set of core features, along with access to independently created miniapps. The superapp is built as a platform to deliver consistent and personalized app experiences.
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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.
viii) Adaptive AI - The value of operationalized AI lies in the ability to rapidly develop, deploy, adapt and maintain AI across different environments in the enterprise. Given the engineering complexity and the demand for faster time to market, it is critical to develop less rigid AI engineering pipelines or build AI models that can self-adapt in production
Adaptive AI systems allow for model behavior change postdeployment 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.
ix) Metaverse - Metaverse is a combinatorial innovation made up of multiple technology themes and trends. Individually, these trends are projected to provide new opportunities, and challenges, to organizations across a wide spectrum of industries and use cases.
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.
x) Sustainable Technology - Sustainable technology is a framework of solutions that increases the energy and material efficiency of IT services; enables enterprise sustainability through technologies like traceability, analytics, renewable energy and others; and helps customers become more sustainable through apps, software, marketplaces and more. Investments in sustainable technology also have the potential to create greater operational resiliency and financial performance, while providing new avenues of growth.
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.
Gartner expects these trends to create an imperative to act among at least 20% of our IT clients, making them broadly applicable to digital, IT and technology leaders and the strategic ambitions of many CEOs. Different trends will impact different organizations in different ways, so first evaluate which of these trends present opportunities and risks to your organization’s strategic direction.
To read more about the key actions that need to be taken in order to implement these technology changes, you can refer to the full report.
Read the full report here.