The promise of real-time data, AI and automation is being embraced by industry leaders and is moving beyond automated machinery and processes to digital transformations across financial services, healthcare, and other industries. IT automation uses software to automate high-impact, repetitive tasks with little manual intervention. However, human decision-making on the best use cases, requirements, architecture and design can determine the success of IT automation projects. Around 30% of enterprises will automate over half of their network activities by 2026, compared with 10% in mid-2023, according to Gartners Hype Cycle for I&O Automation, 2024. Companies like Alphabet Inc. and Meta (Facebook) have used AI-powered automation for cooling, load balancing, predictive scaling and other tasks in their data centers for almost a decade. The IT automation team focuses on system, application and data integration to connect systems and automate tasks and workflows. It can also be used to improve IT service response times and error rates by reducing human intervention.
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