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.

Images

the-future-of-workload-automation-and-orchestartion.png

Tags

Workload Automation

Share

Further Resources

Blog Article
blogartikel_kubernetes.jpg

Workload Automation in Kubernetes: Bridging Technology for Modern Container Orchestration

How classic workload automation can integrate with modern Kubernetes environments. This article explores IBM Workload Scheduler, the Beta Systems Cloud Connector, and the roles of Ingress, Sidecars, and Git-based job definitions in enterprise IT automation for containerized infrastructures.
Blog Article
blogpost_migration-ohne-reue.jpg

Migration Without Regret: How to Future-Proof Your Automation Strategy

In today's fast-paced, data-driven IT landscape, the demands on enterprise systems are escalating rapidly. The need for agility, scalability, and integration with emerging technologies like AI, cloud infrastructure, and observability platforms is reshaping how organizations approach automation. Amid this transformation, many companies are confronting a critical question: Should we modernize our workload automation (WLA) platforms?
Blog Article
blogpost-title-data-in-motion.jpg

Key Insights from the EMA Research Report “Data in Motion: Orchestrating File Transfers and Data Pipelines in the Cloud Era”

The EMA report highlights the growing importance of secure, automated data movement in digital transformation. Workload Automation (WLA) and Managed File Transfer (MFT) are key technologies, especially in multi-cloud environments. Enterprises are shifting toward integrated, scalable solutions to ensure efficient and compliant data flows.