Recently, Gartner, a world-renowned information consulting and research organization, released the "Top Ten Strategic Technology Trends in 2023" report. This report can help organizational leaders, technicians, etc. grasp the latest technology development trends in the next 36 months.
This year Gartner divided technology trends into three major themes : optimization, development, and expansion . Among them, optimization includes: digital immune system, application observability, AI trust, risk and security management; development includes: metaverse, super application, adaptive AI; expansion includes: industry cloud platform, platform engineering, and wireless value realization. And sustainable technology runs through all strategic technology trends in 2023.
01
Develop a theme
Superapps
Gartne predicts that by 2027, more than 50% of the world's population will be daily active users of multiple super applications.
A superapp is an application that provides end users (for example, customers, partners, or employees) with a core set of functionality and access to independently created mini apps. Super Apps are built as a platform that delivers a consistent and personalized app experience.
A superapp is more than just a composite application or portal that aggregates services, features, and functionality into a single user interface. Superapps represent the ultimate expression of composable applications and architectures.
Five characteristics of super applications: application, user discovery and activation of small applications; platform, design and development framework of small applications, ecological release mechanism of small applications; ecology, user discovery and activation of small applications, between super applications and small applications data sharing among others.
Provide partners with an easy developer experience and convenient developer tools to build, test, register and submit small applications for potential monetization.
Key Actions for Super Apps:
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Improve the effectiveness of super application delivery models by designing human-centered products, processes and services;
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Identify core, high-engagement features within the super app that will drive a large number of end users;
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Meet the security and data protection requirements of mini-applications by establishing ecosystem governance enhanced by shared platform capabilities;
Real-world use case: PayPay is a Japanese payment provider with nearly 50 million users. A key part of its growth strategy is to integrate the purchase of third-party products and services into its super app, and it already offers third-party applets for buying movie tickets, ordering takeout, and bike sharing, as well as its own Financial management application services and retail shopping, etc.
Adaptive AI (Adaptive AI)
Gartne predicts that by 2026, enterprises that adopt AI engineering practices to build and manage adaptive AI systems will outperform their peers in the operability of AI models by at least 25%.
Adaptive AI systems quickly adapt to changes in real-world conditions that were not foreseen or captured during initial development by repeatedly training models and learning with new data in both operational and development environments. These systems dynamically adjust their learning and goals based on real-time feedback, making them suitable for operations where the external environment is changing rapidly or where the speed of response needs to be optimized because corporate goals are constantly changing.
Practical use case: US chemicals and materials manufacturer Dow has deployed an adaptive AI system to enhance enterprise analytics using feedback on usage patterns and business value optimization. It increases the value generated by analytics platforms by 320%.
Metaverse
Gartner predicts that by 2027, more than 40% of large enterprise organizations worldwide will use a combination of Web3, augmented reality (AR) cloud, and digital twins in Metaverse-based projects to increase revenue.
The Metaverse is a combined innovation consisting of multiple technological themes and trends. Taken individually, these trends are expected to present new opportunities and challenges for organizations across a variety of industries and use cases. Organizations are currently developing ways to provide better engagement, collaboration and service experiences for employees, customers and more through virtual workspaces and internal metaspace experiences.
Practical use case: Indian VR startup OneRare is creating immersive gamified experiences for food lovers, allowing food brands to enter global markets and engage gamers by offering food products for use in virtual and physical stores.
02
Optimize the theme
Digital Immune System
Gartner predicts that by 2025, organizations that invest in building digital immune systems will be able to reduce system downtime by up to 80%, and the reduced losses will directly translate into higher revenue.
Digital Immune Systems (DIS) combine practices and technologies such as observability, artificial intelligence (AI)-enhanced testing, chaos engineering, automated remediation, site reliability, and supply chain security to improve the resiliency of products, services, and systems.
DIS provides a model that helps organizations prepare to mitigate potential risks and use failures as learning opportunities to create superior customer and user experiences that are resilient to failure.
Real-world use case: Banco do Brasil added predictive and remediation capabilities to its monitoring system to continuously assess system health, improve system performance and gain insights into what drives optimal employee and customer experiences. These capabilities increase automated incident remediation rates by 37% and reduce average resolution time by 45%
Applied Observability
Gartner predicts that by 2026, 70% of organizations that successfully apply observability will achieve lower decision latencies, resulting in competitive advantage for business goals or IT processes.
Applied observability is the application of observable data in a highly coordinated and integrated approach across business functions, applications, and infrastructure and operations (I&O) teams, enabling the lowest latency from action to reactive and proactive planning of business decisions.
Applying observability enables businesses to make faster and more accurate future decisions. By applying this systematically, response delays can be reduced and business operations optimized in real time.
Practical use case: Tesla is a typical use case of application observability. The technology provides vehicle insurance to Tesla owners in several U.S. states by observing their driving behavior in real time. Tesla vehicles use sensors and Autopilot software to "see" and measure driving behavior to generate a monthly safety score. Tesla says drivers who pass safety scores can save 20% to 40% on their premiums, while those with the highest safety scores can save 40% to 60%.
Artificial Intelligence Trust, Risk and Security Management (AI TRiSM)
Gartner predicts that by 2026, organizations that implement artificial intelligence trust, risk, and security management will see a 50% improvement in the results of their AI models in terms of adoption, business goals, and user acceptance.
AI requires new forms of trust, risk and safety management that traditional controls cannot provide. The new AI TRiSM functionality ensures model reliability, trustworthiness, security and privacy, and achieves better results in AI applications, achievement of business goals and user acceptance.
AI TRiSM supports AI model governance, trustworthiness, fairness, reliability, robustness, effectiveness and privacy. It includes model interpretability, AI privacy, model operations, and more.
Real-world use case: The Danish Business Authority (DBA) has developed a method for applying high-level ethical principles to its AI models. The DBA links its ethical principles to concrete actions, tests against fairness, examines models, forecasts and establishes a framework for model monitoring. DBA's approach helped it rapidly deploy and manage 16 AI models used to monitor financial transactions worth billions of euros.
03
Extended topic
Industry Cloud Platforms
Gartner predicts that by 2027, more than 50% of enterprises will use industry cloud platforms to accelerate their business projects.
The industry cloud platform provides industry modular capabilities that support industry application scenarios by combining SaaS, Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Enterprises can use the packaging functions of industry cloud platforms as basic modules to form unique and differentiated digital business projects, thereby improving agility, promoting innovation and shortening product time to market while avoiding single vendor lock-in.
Practical use case: Hangzhou, one of China's most populous cities, has built a "Smart City Brain" platform through a technology partnership with Alibaba to manage congestion and streamline daily city operations. The platform combines digital infrastructure, a central data platform, and massive applications. After the implementation, the city's congestion ranking dropped significantly, falling from the fifth most congested city in China to the top 50.
Platform Engineering
Gartner predicts that by 2026, 80% of software engineering organizations will have platform teams, 75% of which will include developer self-service portals.
To help developers, data scientists, and end users and reduce friction in the valuable work they do, forward-thinking companies have begun building operating platforms that sit between users and the support services they rely on.
Platform engineering is a set of mechanisms and architecture for building and operating self-service internal developer platforms that support software delivery and lifecycle management. The goal of platform engineering is to optimize the developer experience and accelerate the speed at which product teams create value for customers.
Practical use case: Nike has built a "composable platform" that combines strategically relevant global business capabilities enabled by modular and composable technologies exposed through APIs. Nike found that the platform enabled it to respond to changes more quickly, accelerate time-to-market, improve scalability and reduce operating costs.
Wireless Value Realization
Gartne predicts that by 2025, 50% of enterprise wireless endpoints will use network services to provide functions other than communications, up from less than 15%.
Wireless value enables everything from traditional end-user computing, to supporting edge devices, to digital labeling solutions. All of these require connectivity to function, and require a range of wireless solutions to meet the needs of all environments. The network will go far beyond mere connection and become a source of direct business value. Wireless is transforming from a communications technology to a broader platform for digital innovation.
Practical use case: Bosch-Siemens slows down forklifts in real time by using ultrasonic sensors. In addition to eliminating forklift accidents, near misses were reduced by 98% while productivity increased by 10%.
Sustainable technology (Sustainability)
Gartne predicts that by 2025, 50% of CIOs will have performance indicators related to the sustainability of their IT organization.
Sustainable Technologies is a solution framework that improves the energy and efficiency of IT services; enables enterprise sustainability through technologies such as traceability, analytics, renewable energy, and more; and helps customers become more efficient through applications, software, marketplaces, and more More sustainable. Investments in sustainable technologies also have the potential to create greater operational resilience and financial performance, while providing new avenues for business growth.
Practical use case: Utilities such as Dubai Electricity and Water Authority (DEWA) use IoT and digital twins to create smart building management solutions that reduce water consumption by 50%.
