TOP 2024 IT TRENDS SHOW NO SIGNS OF AI, MACHINE LEARNING OR DIGITAL TRANSFORMATION SLOWING

Digitalization across sectors shows no signs of slowing, compelling enterprises to adapt IT strategy to new technologies shaping customer and employee experiences. Emerging IT trends for 2024 would be advanced multi-experience platforms, expanded automation, proliferated use of data and analytics, as well as embedded cybersecurity measures across distributed IT estates.

Multi-experience architecture refers to unified platforms supporting customized user experiences across devices, applications and physical interactions. Rather than siloed channels, data integrates seamlessly so customers engage via apps, websites, IoT and in-person consistently. Adaptable multi-experience platforms will enable hyper-personalization at scale. Gartner forecasts 30% of large organizations to shift towards multi-experience digital platforms by 2025.

Intelligent process automation will similarly streamline workflows by using AI to configure, deploy, monitor and govern automated processes without substantial human guidance. Gartner forecasts nearly 75% of enterprises to automate repetitive operational processes using combined solutions of robotic process automation, artificial intelligence, process mining and other tools by 2024, up from 30% in 2021.

Data and analytics also takes center stage as companies apply machine learning across structured and unstructured data to guide decision making. Tapping historic datasets, real-time feeds and predictive modeling unlocks new monetization opportunities. Gartner predicts over 33% of large organizations will have appointed Chief Data Officers to orchestrate data governance and drive data monetization by 2025.

Embedded cybersecurity shifts defensive tools and policies from isolated units into integrated best practices across applications, platforms, infrastructure and devices. Security teams will implement controls and embed threat monitoring capabilities at multiple IT layers as part of systems development lifecycles. Gartner forecasts 45% of organizations worldwide will run automated asset discovery processes by 2025, tripling current rates.

And of course self-healing autonomous systems leveraging AI will boost IT flexibility, availability and resilience. Performance monitoring tools can use advanced pattern matching, machine learning and natural language processing to self-diagnose emerging issues across hardware infrastructure, virtual systems, middleware applications and databases – before failures escalate. Human administrators will focus on exception-based management when AI tools cannot contain threats.

Together these concentric trends enable adaptable, data-driven and intrinsically secure digital environments while easing IT workloads. Come the end of 2024, leading CIOs will invest to build multi-experience ecosystems fortified by automation, contextualized data and self-healing mechanisms.