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Gartner's Top 10 Future Technology Trends for Business
Technology research and consulting firm Gartner each year analyzes and determines its top strategic technology trends for the future. They have produced a study that identifies the top technology trends that companies implementing digital solutions in their business processes need to consider. The experts highlighted the technology trends that will be relevant in the near future.
1. Artificial Intelligence-based Trust, Risk and Protection Management (AI TRiSM).
AI TRiSM provides tools for modelling, proactive data protection, model monitoring and risk control in the field. Gartner expects that by 2026, the application of this technology will improve the accuracy of decision making by eliminating up to 80% of erroneous or incorrect information.
2. Continuous Cyber Threat Management (CTEM).
This approach allows companies to continuously assess the threat readiness, vulnerability and exploitability of their digital and physical assets. Gartner expects that by 2026, companies that prioritise CTEM-based information security investments will reduce cyber incidents by two-thirds.
3. Applying sustainable technologies in its work.
These are solutions to achieve environmental, social, and governance for sustainable development (ESG) impact. According to experts at Gartner, by 2027, 25% of company investments will be related to the application of sustainability technologies in the company.
4. Platform design.
The goal of internal platform design and development in software development companies is to optimize productivity, improve user experience, and accelerate business value realization. By 2026, 80% of large and mid-sized software engineering companies will establish platform engineering teams as in-house providers of reusable services, components and tools for application delivery. Platform engineering will eventually solve the central problem of cooperation between software developers and product managers.
5. Developing software solutions using artificial intelligence.
Artificial intelligence technologies such as GenAI and machine learning will be used to help software engineers design, code and test applications. This will increase developer productivity and meet growing customer demand for software solutions in business. By 2027, 70% of professional developers will be using AI-based coding tools, up from less than 10% today.
6. Industry cloud platforms.
Gartner analysts suggest that by 2027, more than 70% of companies will use industry cloud platforms (ICPs) to accelerate their business initiatives. Although they are designed for a specific industry, they can be further customised to meet the needs of many companies. Such cloud solutions can offer technology optimizations by combining existing SaaS, PaaS and IaaS services into a seamless system with the functionality needed.
7. Smart apps.
Smart apps can use artificial intelligence in its functionality. They typically provide capabilities that adapt quickly to user needs, can learn from their interactions, improving autonomous responses over time and potentially transforming the experience of customers and users, product owners, architects and developers. By 2026, 30% of new apps will use artificial intelligence to generate personalised adaptive user interfaces, up from less than 5% today.
8. Democratise generative AI technology.
As more models are trained towards cloud computing and open source, Generative Artificial Intelligence (GAI) will become more accessible to diverse industries around the world. Gartner predicts that by 2026, more than 80% of companies will be using GAI applications in their business domains. Generative AI solutions will help make data from internal and external intelligence sources available to business collaborators that will help staff learn new skills.
9. Increased Connected Workforce (ACWF).
Augmented-connected workforce (ACWF) is a strategy to optimize the value derived from workers. The need to accelerate and expand talent drives the given trend. This approach uses intelligent workforce analytics applications to provide context and day-to-day guidance for HR managers, to improve the workforce experience, to support the ability to develop their own skills. By 2027, 25% of companies will use workforce initiatives involved in professional growth, reducing training and onboarding time by 50% for key roles.
10. Virtual Machine Shop.
As more and more smart systems and devices are connected to the internet, more and more people use virtual assistants like Siri and Cortana, the evolution of virtual assistants will be on the rise. A car that is equipped with a smart assistant will know when it has a technical problem, find the nearest repair shop, book a service and send all relevant details of the fault. And when it "understands" that you won't get home in time to cook dinner, the car will ask you if you want to place an order from your favorite restaurant. Gartner predicts that by 2027, 50% of affluent and working people will have AI-enabled personal assistants working for them every day.
Experts offer some tips to take advantage of the trends outlined above:
- Explore the potential of a particular current technology for your organization's specific situation, consider it in your strategic planning for the next few years, and adapt your business models and operations accordingly.
- All trends are mutually reinforcing, not isolated. You need to combine technologies so that they align with your company's strategy and transformation intentions and deliver value.
- Positive technology outcomes increase the resilience and value of data, attract and retain talent, drive growth and accelerate business digitization.
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