Published on 27 June 2025
ISBN-10: 0738462160
ISBN-13: 9780738462165
IBM Form #: REDP-5755-00
Authors: Archana Chinnaiah, Vasfi Gucer, Vikash Bhati, Archana Chinnaiah, Binayak Dutta, David Green, Sanjay Lokhande, Keigo Matsubara, Sumesh Pahuja, Deepak Salian, Sushil Sharma, Utkarsh Singh and Ramakrishna Vadla
This IBM Redpaper explores the practical application of artificial intelligence (AI) and automation within IBM Storage Insights, empowering you to optimize your storage environment through data-driven insights. From accurate capacity planning to detecting performance deviations and using AI-based workload advisories for storage partitions, this paper equips you with the tools to master proactive storage management. You explore advanced capabilities such as system health advisories for IBM Storage FlashSystem (formerly IBM FlashSystem®) grid, Ransomware Threat Detection (RTD), the power of the IBM Storage Insights Observability Chatbot, and the innovative potential of artificial intelligence for storage (AI4S), all within the context of enhancing efficiency, security, and performance.
This IBM Redpaper is intended for storage administrators and storage technical specialists who want to learn about Artificial Intelligence for IT Operations (AIOps) in a storage context.
Chapter 1. Capacity planning
Chapter 2. Finding a suitable storage system for a new workload
Chapter 3. Detecting performance deviations
Chapter 4. AI-based Workload Advisory for storage partition
Chapter 5. System health advisory for IBM Storage FlashSystem grid
Chapter 6. Workload Anomaly Detection and Ransomware Threat Detection
Chapter 7. Observability Chatbot for IBM Storage Insights
Chapter 8. Performance anomaly detection