Introduction to AI. Workload Management - Fundamentals
About this course
This course provides an overview of ignio AI.Workload Management. It first presents the core concepts of this product including industry context, challenges, product features, competitive positioning, and case studies, among others. It then does a deep-dive into 3 personas namely the monitoring and app ops teams, the command center teams, and the business teams. ignio AI.Workload Management offers different user journeys for each of these personas. This course does a deep dive into each of these journeys explaining the core concepts through a product demo.------------------------------------------------------------------------------------------------------------------------------------Digitate™ leverages machine learning and AI (artificial intelligence) to intelligently manage IT and business operations. Our award-winning product, ignio™, is a cognitive automation solution that helps IT rapidly identify and remediate outages in minutes. ignio’s unique pre-built knowledge allows customers to realize the value of AI in significantly less time than other solutions. It binds together disparate but interconnected business applications, processes, and the underlying infrastructure to drive smart decisions and perform actions autonomously. Our suite of product includes: - ignio™ AIOps - Map business applications and the underlying infrastructure to identify the root cause of a problem and perform autonomous remedial actions - ignio™ AI.WorkloadManagement - Minimize time needed for planning and operational activities with risk assessment, preventive recommendations & prediction of future batch job impacts with over 90% accuracy to reduce SLA violations - ignio™ AI.ERPOps - Provide functional and technical relationship mapping, rapidly identify and rectify typical issues impacting business and stay on top of compliance issues - ignio™ AI. Digital Workspace - A self-healing, end-user experience management product - ignio™ Cognitive Procurement - An AI based oversight mechanism into the Procure-to-Pay f
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