SHARE 2026
Experience AI-driven mainframe operations at SHARE 2026 and see how Royal Cyber’s AIOps platform detects z/OS incidents, identifies root causes, and automatically resolves production issues before they impact business operations.
- August 16–20, 2026
- Booth #112 | Pittsburgh, PA
Experience AI-Powered Mainframe Transformation at SHARE 2026
Mainframe teams manage some of the most critical enterprise workloads, but increasing complexity, growing alert volumes, and limited specialized skills make traditional operations challenging.
At SHARE 2026, Royal Cyber will showcase how enterprises can manage, enhance, and modernize IBM Z through end-to-end mainframe services. From 24×7 operations, security migration, and infrastructure automation to AIOps, hybrid cloud, resilience, application modernization, SCM migration, and zDevOps, we help organizations improve reliability, reduce costs, accelerate delivery, and extend the value of their mainframe investments.
Experience our AI-powered, self-healing solution for z/OS, designed to provide proactive monitoring, intelligent diagnosis, predictive insights, and automated remediation. See how organizations can move from reactive incident management toward autonomous operations through the continuous cycle:
Detect → Diagnose → Heal → Learn
Discover how Royal Cyber helps enterprises reduce operational risk, improve availability, strengthen resilience, modernize legacy environments, and prepare IBM Z for the hybrid-cloud enterprise.
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Why Visit Royal Cyber at Booth #112?
See a Live z/OS AIOps Demo
Watch how AI detects, analyzes, and resolves mainframe incidents.
Discuss Your Mainframe Challenges
Connect with Royal Cyber architects and modernization experts.
Explore Enterprise AI Use Cases
Learn how organizations use AIOps for:
- Faster incident resolution
- Reduced alert fatigue
- Improved operational efficiency
- Automated runbook execution
Featured Demo Session
From Alert Storm to Auto-Heal: AIOps for z/OS Operations
Brian Colbert
Principal Architect, Royal Cyber
In This Session, You’ll Learn:
- How AI detects z/OS anomalies in real time
- How machine learning identifies root causes behind complex incidents
- How automated remediation reduces manual intervention
- How enterprises can safely implement self-healing operations with governance controls
Live Demo: How Self-Healing z/OS Works
AI models continuously analyze SMF, SYSLOG, OPERLOG and RMF telemetry to flag abnormal behavior:
- Abend failures
- Resource contention
- Storage growth
- Performance degradation
AI correlates multiple signals to determine the true root cause and provides an explainable analysis trail operators can trust.
Policy-controlled automation executes approved recovery actions:
- Restart failed tasks
- Free system resources
- Run remediation workflows
Every incident improves future detection accuracy and expands the range of issues resolved automatically.
Royal Cyber Mainframe Expertise
Royal Cyber combines decades of mainframe experience with AI innovation to help enterprises modernize and automate critical workloads.
20+
Years Mainframe Expertise
100+
Mainframe Projects Delivered
10+
Migration & Modernization Projects
24/7
Autonomous Operations Support
Core Capabilities
Meet Our Experts
Syed Basheer
Senior Vice President
Fakhruddin Jhalodwala
Delivery Manager
Brian Colbert
Principal Architect
Ready to move from reactive mainframe operations to autonomous z/OS?
Frequently Asked Question (FAQs)
Senior retail, digital commerce, technology, and customer experience executives from organizations of all sizes. This event is designed for leaders making strategic decisions on commerce platforms, AI implementation, and digital transformation.
Business casual. Comfortable attire suitable for a relaxed networking environment.
Yes. A complimentary dinner and drinks will be provided throughout the evening.
The Executive Dinner will take place at Alegre Bar & Dining, King Street Wharf, 21 Lime St, Sydney NSW 2000, Australia.