Democratised generative AI and AI trust named top strategic tech trends for 2024

Democratised generative AI and AI trust, risk and security management are some of the top strategic technology trends organisations should explore, according to Gartner.

In a new research paper, Gartner named 10 trends relating to AI, machine learning, sustainability and digital transformation.

Bart Willemsen, VP analyst at Gartner said technology disruptions and socioeconomic uncertainties require willingness to act boldly and strategically enhance resilience over ad hoc responses.

“IT leaders are in a unique position to strategically lay down a roadmap where technology investments help their business's sustenance of success amidst these uncertainties and pressures,” he said.

Chris Howard, distinguished VP analyst and chief of research at Gartner said executives must evaluate the impacts and benefits of strategic technology trends.

“But this is no small task given the increasing rate of technological innovation,” he said.

“For example, generative and other types of AI offer new opportunities and drive several trends. But deriving business value from the durable use of AI requires a disciplined approach to widespread adoption along with attention to the risks.”

Democratised generative AI

Generative AI is becoming democratised by the confluence of massively pretrained models, cloud computing and open source, making these models accessible to workers worldwide.

Generative AI applications can make vast sources of information — internal and external — accessible and available to business users.

Gartner said this means the rapid adoption of generative AI will significantly democratise knowledge and skills in the enterprise. Large language models enable enterprises to connect their workers with knowledge in a conversational style with rich semantic understanding.

AI trust, risk and security management

The democratisation of access to AI has made the need for AI trust, risk and security management (TRiSM) even more urgent and clear, Gartner said.

Without guardrails, AI models can rapidly generate compounding negative effects that spin out of control, overshadowing any positive performance and societal gains that AI enables.

AI TRiSM provides tooling for ModelOps, proactive data protection, AI-specific security, model monitoring (including monitoring for data drift, model drift, and/or unintended outcomes) and risk controls for inputs and outputs to third-party models and applications.

AI-augmented development

AI-augmented development is the use of AI technologies, such as generative AI and machine learning, to aid software engineers in designing, coding and testing applications.

AI-assisted software engineering improves developer productivity and enables development teams to address the increasing demand for software to run the business. These AI-infused development tools allow software engineers to spend less time writing code, so they can spend more time on more strategic activities such as the design and composition of compelling business applications.

Intelligent applications

Intelligent applications include intelligence — which Gartner defined as learned adaptation to respond appropriately and autonomously — as a capability.

This intelligence can be utilised in many use cases to better augment or automate work. As a foundational capability, intelligence in applications comprises various AI-based services, such as machine learning, vector stores and connected data. Consequently, intelligent applications deliver experiences that dynamically adapt to the user.

Augmented-connected workforce

The augmented-connected workforce (ACWF) is a strategy for optimising the value derived from human workers. The need to accelerate and scale talent is driving the ACWF trend.

Gartner said the ACWF uses intelligent applications and workforce analytics to provide everyday context and guidance to support the workforce’s experience, well-being, and ability to develop its own skills. At the same time, the ACWF drives business results and positive impact for key stakeholders.

Continuous threat exposure management

Continuous threat exposure management (CTEM) is a pragmatic and systemic approach that allows organisations to evaluate the accessibility, exposure and exploitability of an enterprise’s digital and physical assets continually and consistently.

Aligning CTEM assessment and remediation scopes with threat vectors or business projects, rather than an infrastructure component, surfaces not only the vulnerabilities, but also unpatchable threats.

By 2026, Gartner predicts that organisations prioritising their security investments based on a CTEM program will realise a two-thirds reduction in breaches.

Machine customers

Machine customers (also called 'custobots') are nonhuman economic actors that can autonomously negotiate and purchase goods and services in exchange for payment.

By 2028, 15 billion connected products will exist with the potential to behave as customers, with billions more to follow in the coming years.

Sustainable Technology

Sustainable technology is a framework of digital solutions used to enable environmental, social and governance (ESG) outcomes that support long-term ecological balance and human rights.

The use of technologies such as AI, cryptocurrency, the Internet of Things and cloud computing is driving concern about the related energy consumption and environmental impacts.

This makes it more critical to ensure that the use of IT becomes more efficient, circular and sustainable. Gartner predicts that by 2027, 25 percent of CIOs will see their personal compensation linked to their sustainable technology impact.

Platform engineering

Platform engineering is the discipline of building and operating self-service internal development platforms.

Each platform is a layer, created and maintained by a dedicated product team, designed to support the needs of its users by interfacing with tools and processes. The goal of platform engineering is to optimise productivity, the user experience and accelerate delivery of business value.

Industry cloud platforms

By 2027, Gartner predicts more than 70 percent of enterprises will use industry cloud platforms (ICPs) to accelerate their business initiatives, up from less than 15 percent in 2023.

ICPs address industry-relevant business outcomes by combining underlying SaaS, PaaS and IaaS services into a whole product offering with composable capabilities.