Gartner 10 Tech Trends for 2024
Gartner announced its predictions and top 10 strategic tech trends for 2024. In this upcoming year, organizations and IT leaders can expect to evaluate the impacts of strategic technology, such as AI, on their business initiatives.
Top 10 Tech Trends for 2024
- Democratized generative AI
- AI trust, risk and security management
- AI-augmented development
- Intelligent applications
- Augmented connected workforce
- Machine customers
- Continuous threat exposure management
- Sustainable tech
- Platform engineering
- Industry cloud platform
Democratized generative AI
With the widespread use and accessibility of pre-trained models via cloud and open-source technology, Generative AI (GenAI) is becoming more commonly used globally. Gartner predicts that over 80% of organizations will have used some form of GenAI in their production by 2026, compared to a measly less than 5% earlier this year.
AI trust, risk and security management
Due to AI’s heightened accessibility, there will be an increased need for AI Trust, Risk and Security Management, also known as TRiSM. Without restriction, AI models have the potential to produce adverse effects outweighing AI’s benefits to society. Gartner recommends organizations adopt TRiSM to ensure AI systems are compliant and reliable and protect data privacy.
AI-augmented development
Gartner refers to using machine learning and generative AI, along with other AI technologies, to assist software engineers in developing applications. Software development with AI assistance can drive productivity and allow teams to meet the increasing demands for business-critical software.
Intelligent applications
Intelligent applications are those with learned adaptation to respond appropriately and autonomously. Intelligence in applications includes various AI-based services like machine learning, vector stores and connected data. Intelligent applications can adapt to personalize user experience.
Augmented connected workforce
The augmented-connected workforce (ACWF) strategy aims to scale talent and optimize the value of human professionals. This strategy uses intelligent applications and workforce analytics to support each team’s experience, wellness and development of skills. The AWFC also aims to drive business results and positive stakeholder impact. Through 2027, we expect that at least 25% of CIOs will use an augmented-connective workforce initiative.
Machine customers
Machine customers, also known as “custobots,” are nonhuman economics with the autonomous ability to negotiate and buy goods and services in exchange for payment. Gartner predicts that by 2028, 15 billion products will exist with the potential to act as customers, with billions more to come in the years following.
Continuous threat exposure management
Continuous threat exposure management is an approach that allows businesses to continuously assess and manage the security risks of their digital and physical assets. Gartner predicts that organizations prioritizing their security investments will see a two-thirds reduction in security breaches.
Sustainable tech
This refers to a framework of digital solutions used to support environmental, social and governance outcomes. Due to the growing concern about the ecological impact of tech such as AI, cryptocurrency, and cloud computing, we’ll see more organizations prioritizing sustainable technology.
Platform engineering
Platform engineering can be defined as the practice of creating and operating self-service internal development platforms. Willemesen refers to each platform as a layer designed to support user needs by interfacing with tools and processes. Product teams maintain these platforms and aim to optimize productivity and user experience while boosting business value.
Industry cloud platform
By 2027, Gartner predicts more than 70% of organizations will use industry cloud platforms (ICPs) to boost business initiatives, which sat under 15% this past year. Industry cloud platforms seek to address industry-specific business outcomes by combining software-as-a-service (SaaS), platform-as-a-service (PaaS) and infrastructure-as-a-service (IaaS) offerings to produce a product offering with capabilities such as industry data fabric, library of business capabilities, composition tools and many others.
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