23 Jan AI, ML AND LLMs: TOP AUTOMATION TRENDS 2024 AND 2025
The pace of advancement in automation continues to accelerate rapidly. As we enter 2024 and look ahead to 2025, below you’ll find several of the top trends that are poised to drive major changes in how businesses leverage AI, machine learning and other new technology.
Artificial Intelligence Powering More Complex Automation
AI has enabled much more advanced process automation than rule-based robotic systems. In 2024-2025, expect machine learning to take over more sophisticated tasks, with AI handling challenges like extracting insights from unstructured data, interfacing more naturally with human coworkers and even optimizing other automation systems. As AI models become more robust and scalable in the cloud, they will unleash higher levels of productivity.
Rise of Hyperautomation
Hyperautomation enables businesses to rapidly identify and automate as many processes as possible with sophisticated intelligent software. Instead of automating processes in isolation, hyperautomation looks at end-to-end workflows and automates them through orchestrated technologies. The holistic approach allows greater automation in complicated cross-functional processes. Count on hyperautomation adoption to accelerate in the months ahead.
Automating More Human Work
While repetitive clerical tasks were early automation targets, AI algorithms are increasingly capable of replicating human skills. From conducting market research to producing artwork designs, more of the tasks humans have traditionally performed will be automated with tech throughout the 2024 and 2025 seasons. Voice assistants utilizing natural language processing will also grow more advanced at emulating human abilities.
Scaling Automation Across Organizations
Up to now automation has often been implemented on a case-by-case tactical basis. But leading companies will take more strategic approaches to scaling automation across entire organizations in intelligent ways. With automation management platforms, they will be able to manage all automation projects together, enabling collaboration between business and IT teams to drive transformation. Taking such an end-to-end scaled approach will deliver vastly greater operational efficiency.
Between reaching new frontiers with AI-fueled software robots, achieving holistic hyperautomation, replicating increasingly sophisticated human skills and scaling across functions, automation in 2024 and 2025 promises to drive tremendous productivity for future-ready organizations. Those businesses that embrace these leading-edge trends will gain tremendous advantage.