By 2024, artificial intelligence will dominate enterprises, while the influence of cloud services, security and sustainability will also rise.
Gartner said that artificial intelligence and intelligent application development trends will have the greatest impact on enterprises in 2024. It publishes its annual outlook on the top strategic technology trends that companies need to prepare for in the coming year.
Today, many trends revolve around the development of artificial intelligence, but also around protecting the investments companies have already made, such as machine learning and natural language. Software engineering is booming now, people are building more things because they have access to this data, and the development tools are getting better and better.
Deriving business value from AI and other investments requires a disciplined adoption approach and close attention to risk. As interest and investment in artificial intelligence continue, companies are under pressure to make these things truly work.
Gartner predicts that the main strategic technology trends in 2024 are as follows:
Gartner said that through large-scale pre-trained models, cloud computing and open source The convergence of generative artificial intelligence (GenAI) is becoming democratized, making these models available to workers around the world. It predicts that by 2026, more than 80% of enterprises will use GenAI APIs or models, or deploy GenAI-enabled applications in production environments, compared with less than 5% in 2023.
GenAI applications can enable business users to access vast amounts of internal and external information, which will significantly democratize enterprise knowledge and skills. Large language models enable enterprises to connect employees to knowledge in a conversational manner with rich semantic understanding.
The democratization of access to AI has made the need for what Gartner calls AI Trust, Risk and Security Management (TRiSM) even more urgent.
Without guardrails, AI models can quickly compound and spiral out of control, obscuring any positive performance and social benefits from AI. AI TRiSM provides tools for ModelOps, proactive data protection, AI-specific security, model monitoring (including data drift, model drift and/or unexpected results monitoring), and risk controls for inputs and outputs of third-party models and applications.
Gartner predicts that by 2026, enterprises applying AI TRiSM controls will eliminate up to 80% of erroneous and illegal information, thereby improving the accuracy of decision-making.
Artificial Intelligence Enhanced Development refers to the use of artificial intelligence technologies, such as GenAI and machine learning, to help software engineers design, code and test applications. AI-assisted software engineering increases developer productivity and enables development teams to meet growing software business demands. These AI-infused development tools allow software engineers to spend less time writing code, allowing more time to be spent on more strategic activities, such as designing and composing compelling business applications.
Intelligent applications include intelligence—defined by Gartner as learning to adapt to respond appropriately and autonomously—as a capability. This intelligence can be leveraged in many use cases to better enhance or automate work. As a basic capability, intelligence in applications includes various artificial intelligence-based services such as machine learning, vector storage, and connected data. As a result, smart applications can provide an experience that dynamically adapts to the user.
In a survey of CEOs and senior business executives, 26% cited talent shortages as the most damaging risk to their organizations. According to Gartner, attracting and retaining talent is the top workforce priority for CEOs, and artificial intelligence is considered the technology that will have the greatest impact on their industry over the next three years.
Augmented Connected Workforce (ACWF) is a strategy that optimizes the value of the human workforce. The need to accelerate and expand talent scale is driving ACWF's development trends. ACWF uses intelligent applications and workforce analytics to provide daily context and guidance to support employees’ experience, well-being and ability to develop their skills.
Gartne reports that by 2027, 25% of CIOs will use augmented and connected workforce initiatives to reduce time to competency in key positions by 50%.
Artificial intelligence also plays a role here. Protect your organization using artificial intelligence to uncover threat patterns and help protect the investments your organization makes.
Continuous Threat Exposure Management (CTEM) is a pragmatic and systematic approach that enables organizations to continuously and consistently assess the accessibility, exposure and exploitability of an enterprise's digital and physical assets, Gartner said. Aligning CTEM assessment and remediation scope to threat vectors or business items rather than infrastructure components exposes not only vulnerabilities but also threats that cannot be patched.
Gartner defines robotic customers (also known as "customer bots") as non-human economic actors that autonomously negotiate and purchase goods and services in exchange for payment.
Gartner said that by 2028, there will be 15 billion connected products with customer behavior potential, and billions more products will appear in the next few years. By 2030, this growth trend will be the source of trillions of dollars in revenue and ultimately become more important than the advent of digital commerce. Strategic considerations should include opportunities to promote these algorithms and devices and even create new customer bots.
The use of sustainable technology will become so important that Gartner predicts that by 2027, 25% of CIOs will see their personal compensation related to their sustainable technology Impact hook.
Sustainable Technologies is a digital solutions framework for achieving environmental, social and governance (ESG) outcomes that support long-term ecological balance and human rights. The use of technologies such as artificial intelligence, cryptocurrency, the Internet of Things and cloud computing is raising concerns about associated energy consumption and environmental impact. This makes it even more important to ensure that the use of IT becomes more efficient, circular and sustainable.
Gartner defines platform engineering as 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 users by interacting with tools and processes.
The goal of platform engineering is to optimize productivity, improve user experience, and accelerate the delivery of business value.
Gartner predicts that by 2027, more than 70% of enterprises will use industry cloud platforms (ICP) to accelerate their business plans, compared with less than 20% in 2023 15%.
ICP solves industry-relevant business results by combining underlying SaaS, PaaS and IaaS services into a holistic product with composable functionality. These often include industry data structures, libraries of packaged business functions, composition tools, and other platform innovations.
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