According, to Gartner, 2024 promises a wave of transformative trends. From the rise of Generative AI and AI Trust, Risk, and Security Management, to AI-Augmented Development, Intelligent Applications, Continuous Threat Exposure Management, Platform Engineering, Sustainable Technology, and Augmented-Connected Workforce, another market trend takes center stage: the surge in the adoption of Industry Cloud Platforms.
According to Gartner, the percentage of businesses using industry cloud platforms (ICPs) to speed up business initiatives will increase from less than 15% in 2023 to over 70% by 2027. ICPs combine core SaaS, PaaS, and IaaS services into a comprehensive product offering with composable capabilities to target industry-relevant business objectives. Typically, they include of a library of prepackaged business capabilities, composition tools, an industry data fabric, and other platform advances. ICPs are customized cloud proposals that are particular to a sector and may be further customized to meet the requirements of a business.
“IT leaders and other executives must evaluate the impacts and benefits of strategic technology trends, but this is no small task given the increasing rate of technological innovation,” said Chris Howard, Distinguished VP Analyst and Chief of Research at Gartner. “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.”
The other top strategic technology trends for 2024 according to Gartner include:
Democratized Generative AI
The combination of cloud computing, open source, and massively pretrained models is democratizing generative artificial intelligence (GenAI), making these models available to workers everywhere. More than 80% of businesses, up from less than 5% in early 2023, are expected to have implemented GenAI-enabled apps in production settings and/or utilised GenAI models and APIs by 2026, according to Gartner.
Business users may have access to a multitude of internal and external information sources via the usage of GenAI apps. This implies that the enterprise’s knowledge and abilities will become much more accessible as a result of the quick adoption of GenAI. Businesses may provide their employees with information in a conversational manner with deep semantic comprehension by using large language models.
AI Trust, Risk and Security Management
The need for AI Trust, Risk, and Security Management (TRiSM) has increased due to the democratization of access to AI. Without controls, AI models have the potential to quickly produce compounding bad impacts that spiral out of control, overshadowing whatever benefits AI may bring about for society and improved performance. ModelOps tools, proactive data protection, AI-specific security, model monitoring (including data and model drift monitoring, as well as risk controls for inputs and outputs to third-party models and applications) are all provided by AI TRiSM.
According to Gartner, by 2026, businesses using AI TRiSM controls will improve decision-making accuracy by removing up to 80% of inaccurate and fraudulent data.
AI-Augmented Development
The use of AI technologies, such as machine learning and GenAI, to assist software developers in the design, coding, and testing of applications is known as AI-augmented development.
Software engineering with AI support increases developer productivity and helps teams handle the growing need for software to operate the company. Software developers can now focus more of their time on more strategic tasks, like creating engaging business apps, by writing less code thanks to these AI-powered development tools.
Intelligent Applications
Intelligent applications include intelligence as a capacity. According to Gartner, intelligence is defined as learnt adaptability to react properly and autonomously. There are several applications for this intelligence that may improve labor automation or augmentation. Intelligence in applications is a fundamental capacity that includes a range of AI-based services such vector storage, machine learning, and networked data. As a result, intelligent apps provide user experiences that are always changing.
There is a definite need and demand for intelligent apps. According to the 2023 Gartner CEO and Senior Business Executive Survey, 26% of CEOs said that the lack of talent was the biggest risk to their company. The top labor problem for CEOs is attracting and keeping people, while the technology that will have the most influence on their sectors over the next three years is artificial intelligence (AI).
Augmented-Connected Workforce
A method for maximizing the value obtained from human labor is the augmented-connected workforce (ACWF). The ACWF movement is being driven by the need to grow and accelerate talent. Using workforce analytics and intelligent apps, the ACWF supports the experience, well-being, and capacity for skill development of its workforce by offering daily context and direction. The ACWF simultaneously promotes good effects for important stakeholders and commercial outcomes.
25 percent of CIOs want to leverage augmented-connected workforce efforts to cut the time to competence for critical positions by 50 percent by the year 2027.
Continuous Threat Exposure Management
An enterprise’s digital and physical assets may be continuously and consistently assessed for accessibility, exposure, and exploitability with the help of Continuous Threat Exposure Management (CTEM), a practical and systematic technique. When CTEM assessment and remediation scopes are matched with business initiatives or threat vectors instead of an infrastructure component, vulnerabilities and unpatched threats are revealed.
Organizations that prioritize security expenditures via a CTEM program could see a two-thirds decrease in breaches by 2026, according to Gartner.
Machine Customers
‘Custobots,’ or machine customers, are nonhuman economic players that are capable of negotiating and making payments for products and services on their own. There will be 15 billion linked products by 2028 that have the ability to act like clients, and billions more would follow in the next years.
By 2030, this development trend will generate billions of dollars in income and will finally overtake the emergence of digital commerce in importance. Opportunities to either enable these algorithms and gadgets or perhaps develop new custobots should be taken into account strategically.
Sustainable Technology
A framework of digital solutions known as “sustainable technology” is utilized to promote long-term ecological balance and human rights by enabling environmental, social, and governance (ESG) results. Cloud computing, artificial intelligence, cryptocurrencies, and the Internet of Things (IoT) are a few examples of the technologies that are causing worry due to their influence on the environment and energy usage.
Because of this, it is even more important to make sure that IT is used in a sustainable, circular, and efficient manner. Indeed, according to Gartner, 25% of CIOs’ personal salary will be based on how much of an influence they have on sustainable technology by 2027.
Platform Engineering
The field of designing and managing self-service internal development platforms is known as platform engineering. Each platform is a layer that interfaces with tools and procedures to fulfill the requirements of its users. It is developed and maintained by a specialized product team. Optimizing efficiency, improving user experience, and accelerating the delivery of business value are the objectives of platform engineering.
Within the next 36 months, CIOs and other IT professionals would see considerable upheaval and opportunity thanks to the developments that make up this year’s top strategic technology trends announce by Gartner. More information is available to Gartner customers in their ‘Top Strategic Technology Trends for 2024’ Gartner Special Report.
