Top 10 Strategic Technology Trends for 2023 by Gartner (Part1)

Digital transformation is the process of transforming business processes and operations to leverage the power of digital technologies for achieving scalable & sustainable growth in the times to come.

The pace of change is accelerating, driven by emerging technologies such as artificial intelligence, the Internet of Things, big data and blockchain-all of which are changing how we work, live, and manage our businesses. In this blog, Part 1 of the top 10 strategic technology trends for 2023, we will be exploring top 5 such trends identified by Gartner, which can significantly contribute to your success story.

Top 10 strategic technology trends for 2023 by Gartner1

Here are top 5 strategic technology trends for 2023-

1. Digital Immune System

By 2025, organizations that invest in building digital immunity will increase customer satisfaction by decreasing downtime by 80%.

A digital immune system (DIS) increases resilience of products, services, and systems with the aid of technologies such as observability, artificial intelligence, auto-remediation, site reliability engineering and software supply chain security. Organizations can mitigate risks and boost failures resiliency with DIS to create better customer and user experiences.

A DIS offers a framework to invest in technologies that improve the quality and resilience of business-critical systems. It connects software development to business outcomes and supports customer experience strategies through modern technologies and practices.

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2. Applied Observability

By 2026, 70% of organizations that successfully applied observability will achieve shorter latency for decision making, enabling competitive advantage for target business or IT processes.

As more organizations turn to real-time decision-making, the need for smart and optimized data processes has never been greater. Applied observability decreases the time from action to reaction and proactive planning of business decisions by applying use of observable data in a highly orchestrated and integrated approach across business functions, applications, and I&O teams.

Data is often siloed and scattered across different systems, making it difficult to access and use. Applied observability is the practice of making data accessible and usable so that it can be monitored and managed effectively. By making data observable, we can improve its quality and accuracy, and ensure that it is used to make informed decisions.

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

By 2026, organizations that operationalize AI transparency, trust and security will see their AI models achieve a 50% result improvement in terms of adoption, business goals and user acceptance.

As businesses increasingly turn to artificial intelligence (AI) to improve their operations, it's important to ensure that AI systems are properly managed and protected from potential risks. AI trust, risk and security management (TRiSM) is a key part of ensuring that AI systems are used safely and securely.

TRiSM involves assessing the risks posed by AI systems, quantifying those risks, and designing and implementing appropriate safeguards.

AI TRiSM supports AI model governance, trustworthiness, fairness, reliability, robustness, efficacy, and privacy. It can help to ensure that AI systems are used safely and securely, while also reducing the risk of adversarial attacks.

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4. Industry Cloud Platforms

By 2027, more than 50% of enterprises will use industry cloud platforms to accelerate their business initiatives.

An industry cloud platform can increase an organization's agility, speed innovation and time to value by integrating, through a common platform, separately purchased cloud services. Platforms are tailored to the specific demands of an industry and include software, platform, and infrastructure as a service (IaaS) component.

A shift from generic solutions to industry-specific platforms includes business suites (PBCs), a bundle of prebuilt capabilities that are used to build unique and distinct digital initiatives. This agility, innovation, and reduced time to market with no lock-in benefit.

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5. Platform Engineering

By 2026, 80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery.

Modern technologies are changing the way products and services are designed and delivered. An innovative approach to product engineering is emerging that is focussed on the continuous creation of new value. Businesses are now exploring the concept of platform engineering where they develop new concepts, such as platform as a service, and then provide a service that will enable other businesses to incorporate the new concept.

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.

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These are just few of the many fascinating trends that Gartner has forecasted for the coming year. If you are looking to stay ahead of the curve, you need to be keeping up with the latest technological developments. By using the right tools and strategies, you can ensure that your business is able to capitalize on these trends and future opportunities.

Stay tuned as we highlight the next 5 technological trends in 2023 by Gartner in our upcoming blog. Learn how we can bolster your business >> You can also get in touch with us at

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