Oct 29, 2024, 10:06 AM
Oct 28, 2024, 5:55 PM

Enterprises to Adopt Intelligent Automation by 2026

Highlights
  • By 2026, one half of all enterprises are projected to adopt integrated intelligent automation technologies to improve digital efficiency.
  • The report indicates a cautious adoption of generative AI, with only one in five enterprises expected to utilize it effectively by the end of 2026.
  • ISG emphasizes the importance of aligning intelligent automation software selection with strategic objectives and operational needs.
Story

In a report released on October 28, 2024, analysts from Information Services Group (ISG) highlighted that by 2026, half of all enterprises will integrate intelligent automation technologies to enhance their digital efficiency. This shift aims to interconnect diverse applications across public and private cloud environments, allowing organizations to increase operational efficiency and reduce errors. The report emphasizes the significance of selecting intelligent automation software that aligns with an enterprise’s strategic goals and operational needs, considering factors like data quality, ROI, and organizational readiness. The findings also reveal a cautious outlook on the adoption of generative AI (GenAI), noting that only one in five enterprises is expected to utilize this technology for analytical purposes by the end of 2026. While GenAI provides advantages in natural language processing and automation, organizations must acknowledge both its potential benefits and associated challenges, such as the need for comprehensive evaluations that include business, ethical, and strategic considerations. ISG’s research assessed software providers across multiple categories within intelligent automation. The leading companies identified in various segments include ServiceNow, UiPath, and Microsoft, reflecting their significant market presence and innovative capabilities. As organizations accelerate their digital transformations, intelligent automation technologies are becoming crucial in achieving competitive advantages in an increasingly data-driven environment. Ultimately, the study offers valuable insights into the evolving landscape of intelligent automation, encouraging enterprises to adopt a methodical and informed approach to capitalizing on these emerging technologies.

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