Timely and predictive processing of batch jobs is vital to ensure stable business operations and high-quality customer experience. ignio AI.Workload Management brings a paradigm-shift in today’s batch operations from “reactive to proactive” and “manual to automated”. It combines the power of AI, machine learning, and automation to make the workload systems predictable, agile, and silent.

Management of batch systems face two key challenges:

These challenges collectively lead to the following chain of implications:

ignio AI.WorkloadManagement combines the power of AI, machine learning, and automation to ensure proactive workload operations. Following are the key features of the product:

• Learns the context of batch
  
• Predicts and prevents SLA violations
  
• Plans for growth and change
  
• Diagnoses and resolves job failures
  
• Identifies opportunities for proactive problem management

Out-of-Box integrations available for Azure Batch, Autosys, Control-M, ESP, TWS