Top 10 Strategic Technology Trends for 2024 by Gartner | Part1
To enhance resilience in the face of technological disruptions and socioeconomic uncertainties, analysts at Gartner® emphasize the importance of embracing bold and strategic initiatives. IT leaders have a unique opportunity to formulate a plan that strategically utilizes technology investments to sustain success amidst prevailing pressures and uncertainties.
It is imperative to thoroughly evaluate the advantages and consequences of key technology trends. Given the prompt pace of technological innovation, navigating this landscape can take time and effort. Generative AI and other advanced forms propel numerous movements and emerging opportunities, requiring a disciplined approach with a comprehensive understanding of associated risks.
In this part of the blog post, we will explore the top 5 trends identified by Gartner as strategically significant for 2024. These trends possess the potential to exert a substantial impact on the chronicle of your success.
The Top Strategic Technology Trends for 2024
1. AI Trust, Risk and Security Management (AI TRiSM)
As per Gartner®, "by 2026, organizations implementing TRiSM controls in their AI applications will experience a reduction of at least 50% in the consumption of inaccurate or illegitimate information, mitigating the risk of faulty decision-making."
A key consideration in navigating AI's greater accessibility is the efficient management of AI trust, risk, and security (TRiSM). Inadequate monitoring of AI models may have unfavourable outcomes that increase the beneficial effects of AI on society. AI TRiSM incorporates risk controls for inputs and outputs, model monitoring, and specific security measures for third-party models and applications.
Businesses gain a great deal from prioritizing these security measures because they protect AI models from tampering and malicious attacks. This all-encompassing strategy not only strengthens security overall, lowering the likelihood of breaches and cyberattacks but also emphasizes a dedication to confidentiality, building client trust. Businesses are given a dynamic and efficient defence mechanism against new threats in the ever-evolving AI landscape by AI TRiSM's adaptive features and continuous monitoring.
As AI continues to advance, AI TRiSM will play a pivotal role in shaping the trajectory of AI adoption. Organizations that prioritize trust, manage risks effectively, and implement robust security measures will be better positioned to harness the full potential of AI without compromising on ethical standards.
2. Continuous Threat Exposure Management (CTEM)
"By 2026, organizations strategically allocating security investments through a continuous threat exposure management program are expected to achieve a two-thirds reduction in breaches."- states Gartner®
The practical and comprehensive approach, known as Continuous Threat Exposure Management (CTEM) allows businesses to evaluate their digital and physical assets' reach, vulnerability, and exploitability. Organizations can identify vulnerabilities and threats that might go undetected by aligning CTEM assessments and remedies with threat vectors or business initiatives.
3. Sustainable Technology
Gartner® predicts that, "By 2027, 25% of CIOs will have compensation linked to their sustainable technology impact."
Digital solutions supporting human rights and ecological balance by coordinating with social, environmental, and governance objectives are at the core of sustainable technology. It is critical to design solutions emphasizing efficiency, circularity, and overall sustainability in technology usage as pioneering technologies like artificial intelligence (AI), cryptocurrencies, the Internet of Things, and cloud computing raise concerns about energy consumption and environmental impact.
4. Platform Engineering
Platform engineering is revolutionizing cooperation between software developers and operators, solving crucial challenges. This innovative technology accelerates application delivery and improves business value creation.
Businesses can swiftly develop applications, leveraging simplified visual interfaces that empower non-developers to contribute. This collaborative approach enhances efficiency, reducing time-to-market for applications. The synergy between IT and business teams is heightened, driving innovation. Platform engineering eases maintenance, boosting overall efficiency, flexibility, and cost-effectiveness.
Positioned as a solution to alleviate developers' workload and elude common DevOps pitfalls, this emerging technology has gained traction. Cloud providers like AWS and Azure support platform engineering, and Platform Engineering as a Service (PaaS) is rapidly evolving. The goal is a seamless self-service experience, minimizing cognitive load and maximizing productivity.
Automated infrastructure operations and self-service features elevate the developer experience, aligning with the broader decentralization of technical labor and expertise across diverse roles. This democratization includes the integration of generative AI, marking a transformative shift in the industry.
According to Gartner, by 2026, 80% of large software engineering organizations will establish internal platform engineering teams, facilitating collaboration between developers and operators.
This shift addresses the complexity of modern software architectures, empowering non-expert users and reducing friction in invaluable work.
5. AI-Augmented Development
AI-augmented development uses machine learning and GenAI technologies to help software engineers with application design, coding, and testing. By increasing developer productivity, this approach helps development teams effectively meet the rising demand for software used to run business. Software engineers can concentrate on essential tasks of developing creative business applications using AI-infused development tools by reducing the coding time manifolds.
This year's Top Strategic Technology Trends, as identified by Gartner, present a unique frame of interruption and opportunity for CIOs and IT leaders over the next 36 months. Artificial intelligence, edge computing, and hyper-automation stand out as key trends in 2024, capable of revolutionizing industries and opening new competitive boundaries in the rapidly evolving digital environment.
To stay ahead, staying abreast of these trends is essential. Businesses can capitalize on these opportunities by adopting the right tools and strategies. Stay tuned as we delve into Gartner's next 5 technological trends in 2024 in our upcoming 2nd part of the blog.