Analyst Report

The Future of Workload Automation and Orchestration: Driving Digital Transformation with Orchestration and Generative AI

In an era where digital transformation is accelerating, organizations must embrace automation and orchestration to remain competitive. This latest research carried out by Enterprise Management Associates and sponsored by Beta Systems, explores how enterprises are leveraging workload automation (WLA) and generative AI to drive operational efficiency, workforce productivity, and business innovation.

What You’ll Learn From This Research

  • How WLA is evolving beyond batch processing to support event-driven automation and workflow orchestration.

  • Why observability, AI-driven workflows, and cross-platform coordination are top priorities.

  • How Generative AI is expected to significantly enhance WLA capabilities, with 70% executives planning to adopt AI-driven automation in the next 12 months.

Who Should Read This Report?

  • IT and automation leaders looking to enhance efficiency and scalability.

  • CIOs and digital transformation strategists seeking orchestration best practices.

  • Business process owners exploring AI-driven automation solutions.

Download the Report

Gain valuable insights into the future of workload automation and orchestration. Learn how leading enterprises are integrating AI to optimize IT operations and improve business outcomes.

Further Resources

Blog Article
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5 Best Infrastructure Automation Tools for DevOps Teams

Fragmented scripts, aging schedulers, and 2 a.m. pages for failed batch jobs are why most DevOps teams start shopping for an infrastructure automation tool. The right platform gives you one code-driven way to schedule, orchestrate, and monitor workloads across your hybrid stack. Below, we break down five infrastructure automation tools DevOps teams evaluate most often and what each is genuinely best for.
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Automation Orchestration Platforms: 5 Best Tools (2026)

Enterprise automation has outgrown job schedulers. Today’s IT environments span on-premises infrastructure, three major cloud providers, SAP estates, DevOps pipelines, and AI/ML workloads, all of which need to run in a coordinated sequence. According to the Gartner Magic Quadrant for Service Orchestration and Automation Platforms, by 2029, 90% of organizations that currently deliver workload automation will be using service orchestration and automation platforms (SOAPs) to orchestrate workloads and data pipelines across hybrid environments.
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Hybrid Workload Automation: Benefits, Use Cases & Challenges

If your nightly SAP batch run finishes on the mainframe but the cloud analytics job depending on it doesn’t fire until someone checks a dashboard the next morning, you already know the cost of disconnected scheduling. Hybrid workload automation closes that gap by giving IT operations a single control layer that automatically coordinates jobs, data pipelines, and dependencies across on-premises and cloud systems, with no manual handoffs required.