By Anita Srinivasan
3rd November, 2023
The technology landscape is constantly evolving and, staying ahead of the curve is crucial for leaders and businesses alike. As we approach 2024, several exciting tech trends promise to reshape industries and our daily lives. Tech leaders and companies must, however, carefully evaluate the impact these technologies may have and the several benefits they bring to the table.
Speaking of tech investments and the impact of new and emerging technologies, Bart Willemsen, Gartner VP Analyst said, “Technology disruptions and socioeconomic uncertainties require a willingness to act boldly and strategically enhance resilience rather than rely on ad hoc responses. IT leaders must ensure calculated risk and make reliable and durable investments to sustainably enable both internal and external value creation.”
In this blog, we will explore eight strategic tech trends and investments to watch out for in the coming year and beyond.
Democratized Generative AI
Democratized Generative AI aims to make Generative Artificial Intelligence technologies more accessible and user-friendly for a broad range of individuals and organizations. It will allow more people to benefit from the technology and contribute to its growth and development.
Democratization in this context means making this technology widely available and usable, breaking down barriers to entry that might have existed in the past. Enterprises can now access knowledge in a conversational style with rich semantic understanding through large language models.
Gartner predicts that by 2026, generative AI will significantly alter 70% of the design and development effort for new web applications and mobile apps.
For more understanding of Generative AI and Cybersecurity, please refer to our informative blog.
AI Trust, Risk And Security Management
AI is becoming increasingly accessible, and this has made it clear that AI Trust, Risk and Security Management (AI TRiSM) is critical. AI TRiSM offers various tools to help manage cybersecurity risks, including ModelOps, proactive data protection, AI-specific security, and risk controls for inputs and outputs to third-party models and applications.
According to Gartner, applying AI TRiSM controls by 2026 will help enterprises increase the accuracy of their decision-making by eliminating up to 80% of faulty and illegitimate information.
Artificial Intelligence Augmented Development
AI Augmented Development (AID) refers to the use of Artificial Intelligence (AI) and Machine Learning (ML) technologies to streamline and enhance the software development process. The primary objective of AID is to speed up software development while making it more efficient and accessible to a broader range of individuals, including those with limited programming experience.
Gartner predicts by 2027, 70% of professional developers will use AI-powered coding tools, up from less than 10% today.
The tools and platforms of AI Augmented Development are still in the process of evolution, and their impact on software development may vary depending upon the maturity of the AI technology being employed and specific use cases. Therefore, developers must recognize the potential benefits and limitations of AI in software development and select tools that align with their project goals and requirements.
Intelligent Applications
Intelligent applications also referred to as smart or AI-powered applications, are software programs or systems that utilize artificial intelligence (AI) and machine learning (ML) technologies to improve their functionality and offer more advanced, data-driven, and automated features.
Gartner predicts by 2026, 30% of new applications will use AI to drive personalized adaptive user interfaces, up from less than 5% today.
Jim Hare, Gartner Distinguished VP Analyst, spoke about the key benefits of adopting intelligent applications and said, “Intelligent applications recommend or automate actions instead of just providing analysis, so they can drive improvements-including better personalization, more efficient use of resources, improved accuracy, increased automation, more finely grained responses, and decision support. Customers are increasingly demanding these types of intelligent outcomes.”
Continuous Threat Exposure Management (CTEM)
Enterprises can use Continuous Threat Exposure Management (CTEM) to assess the accessibility, exposure, and exploitability of their digital and physical assets systematically and consistently.
According to Gartner, by 2026, enterprises that prioritize their security investments based on a CTEM program will experience a two-thirds reduction in breaches.
CTEM assessments and remediations should align with business projects or threat vectors rather than infrastructure components to reveal vulnerabilities and unpatchable threats.
Machine Customers
Machine customers, also known as custobots, are autonomous economic entities capable of independently engaging in negotiations and acquiring goods and services in return for payment. It is anticipated that by 2028, there will be 15 billion connected products with the capacity to act as customers, and this trend is expected to continue.
Gartner predicts that this surge will lead to trillions of dollars in revenue by 2030, surpassing the significance of the advent of digital commerce.
Strategic planning should involve exploring opportunities to support these algorithms and devices or developing new custobot entities.
Platform Engineering
Platform engineering is a multidisciplinary approach to designing, building, and maintaining the underlying technology platforms and infrastructure that support software applications, services, and systems. These platforms can range from cloud computing and server environments to application frameworks and development tools.
According to Gartner, by 2026, 80% of large software engineering organizations will establish platform engineering teams as internal providers of reusable services, components, and tools for application delivery.
Paul Delory, VP Analyst at Gartner, spoke about Platform engineering and said, “It has emerged in response to the increasing complexity of modern software architectures. Today, non-expert end users are often asked to operate an assembly of complicated arcane services. To help end users and reduce friction for the valuable work they do, forward-thinking companies have begun to build operating platforms that sit between the end user and the backing services on which they rely.”
Industry Cloud Platforms
Industry cloud platforms, or vertical cloud platforms, are specialized cloud computing platforms tailored to meet the unique needs and requirements of specific industries or business sectors.
By 2027, Gartner predicts that more than 70% of enterprises will use industry cloud platforms (ICPs) to accelerate their business initiatives, up from less than 15% in 2023.
Industry Cloud Platforms integrate SaaS, PaaS and IaaS services into a cohesive product offering to address industry-specific business needs. ICPs are created to cloud proposals specific to an industry and can be further customized based on organizational requirements.
For an in-depth understanding of Cloud Computing and Cloud migration strategies, please download our exclusive whitepaper resource.
The tech trends of 2024 promise to be both exciting and transformative. Embracing these trends can help IT leaders and businesses stay competitive and innovative in an ever-changing world. Whether it is the Democratized Generative AI, Industry Cloud Platforms, or any other trend, being aware of these developments will be crucial to navigating the tech landscape successfully in the coming year and beyond. So, stay informed, adapt, and be ready for the tech-driven future that awaits us in 2024.
Explore our resources:
Discover Resources: Access our library of insightful guides, whitepapers, and case studies to boost your IT knowledge.
Find Solutions: Explore our range of IT solutions designed to streamline your business operations and enhance productivity.
Dive In: Click this link to get started on your journey towards IT excellence!
References:
