The ten strategic technology trends that are predicted to cause major disruption and present possibilities for IT professionals over the next 36 months were recently revealed at Gartner’s IT Symposium/Expo in Orlando. Adopting a disciplined approach to risk management and extensive technology adoption is crucial as technology develops. These ten critical technological trends, according to Gartner, are poised to transform a number of industries and offer exciting opportunities for expansion.
- Democratized Generative AI: Pre-trained models that are available through cloud computing and open-source technologies are making Generative AI (GenAI) more widely available and approachable. More than 80% of businesses will have put some kind of generative AI models, applications, or APIs into production by 2026, according to Gartner. Compared to early this year, when it was less than 5%, this is a notable improvement.
- AI Trust, Risk, and Security Management (TRiSM): TRiSM stands for AI Trust, Risk, and Security Management, and it is necessary due to the increasing accessibility of AI technology. In the absence of these protections, AI models may result in unfavorable effects that outweigh their advantages. Businesses can benefit from ModelOps, proactive data security and protection, and monitoring capabilities provided by AI TRiSM products.
- AI-Augmented Development: This technique helps software developers with application design, coding, and testing by leveraging generative AI, machine learning, and other AI technologies. By using these solutions, teams may more effectively address the growing need for business-critical software while also increasing developer productivity. Additionally, they free up engineers to concentrate on more strategic tasks like application design, which results in software development that is quicker and more creative.
- Intelligent Applications: By responding on their own, based on learnt adaptation, intelligent applications can improve the dependability and efficiency of automated work processes. There is an increasing need for intelligent apps as the talent environment changes. According to CEO polls, AI will have a big impact on sectors in the years to come. These apps help organizations achieve dynamic and efficient results by providing a solution to the talent deficit.
- Augmented-Connected Workforce: By utilizing intelligent apps and workforce analytics, the augmented-connected workforce (ACWF) strategy seeks to maximize the value produced by human labor. ACWF improves the experience, health, and skill development of the workforce, which in turn leads to improved stakeholder impact and business outcomes. According to Gartner, by 2027, a minimum of 25% of CIOs will utilize the ACWF effort in order to accelerate the competency of critical positions by 50%.
- Continuous Threat Exposure Management (CTEM): This methodical methodology evaluates and controls the risk of exploitation, accessibility, and exposure of both digital and physical assets. Organizations can more effectively detect vulnerabilities and unmatchable threats by concentrating on certain initiatives and attack vectors.
- Machine Customers: Also referred to as “custobots,” machine customers are nonhuman economic players that are able to independently negotiate and make payments for goods and services. According to Gartner, there will be 15 billion connected products that can act like machine customers by 2028, and there will be more after that.
- Sustainable Technology: Digital solutions that uphold human rights and the long-term ecological balance are included in sustainable technology. Organizations must give sustainable IT top priority in light of the escalating worries about the environmental effects of technology like cloud computing, bitcoin, and artificial intelligence. According to Gartner, by 2027, the salary of 25% of CIOs will be based on the impact of sustainable technology.
- Platform Engineering: Creating and managing self-service internal development platforms with the goal of increasing efficiency and improving user experience is known as platform engineering. These platforms connect with tools and procedures to accelerate the development of business value. They are developed and maintained by committed product teams.
- Industry Cloud Platforms: These cloud platforms generate industry-specific products by combining Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) offerings. These consist of features like composition tools, libraries of business functions, and industry data fabrics.
