Prevent. Correlate. Automate.

This practical webinar series is designed to help IT operations teams shift left by preventing incidents before anyone is affected, reducing alert fatigue, and resolving incidents quickly through governed remediation.

Dates: 28 October 2026 | 10 November 2026 | 26 November 2026
Time: 
10:00 – 11:00 GMT (11:00 – 12:00 CET) 

OpenText logo

Shift Left: Predict, don’t react.

Date: 28 October
Time: 10:00 – 11:00 GMT (11:00 – 12:00 CET) 

Most organisations still operate in a reactive mode, responding to alerts and incidents after users are already impacted.

But leading IT teams are taking a different approach. By combining observability, service context, AI-driven analytics, and intelligent automation, they can identify emerging issues earlier, understand business impact faster, and prevent incidents before they affect customers and employees.

In this session, discover how modern IT operations teams are shifting left, moving from reactive firefighting to proactive incident prevention.

Key takeaways

  • Why traditional monitoring is no longer enough
  • How observability enables proactive operations
  • Using service context to understand business impact
  • Early warning indicators and anomaly detection
  • Building an incident prevention strategy

Speakers: Collins Che & Hany Boulos

AIOps without the noise—from 10,000 alerts to 1 actionable situation

Date: 10 November
Time: 10:00 – 11:00 GMT (11:00 – 12:00 CET) 

Alert fatigue is one of the biggest barriers to operational efficiency. Many organisations have invested heavily in monitoring and observability platforms, yet operations teams remain overwhelmed by thousands of alerts, events and notifications every day.

The challenge isn't a lack of data. The challenge is understanding which signals matter, what services are affected, and where teams should focus first.

In this session, discover how AIOps helps operations teams reduce noise, correlate related events, identify probable root cause and prioritize incidents based on business impact.

Speakers: Collins Che & Melanie Damal

Self-healing operations from detection to automated resolution

Date: 26 November
Time: 10:00 - 11:00 GMT (11:00 - 12:00 CET) 

Detecting incidents faster is valuable.

Resolving them automatically is transformational.

As organisations mature their observability and AIOps capabilities, they unlock the ability to automate repetitive remediation activities, reduce operational effort, and move closer to autonomous operations.

Join this webinar to explore how intelligent automation, AI agents, and governed remediation can help teams reduce manual intervention while maintaining trust, control, and compliance.

Key Takeaways

  • What self-healing operations actually means
  • Closed-loop remediation in practice
  • Agentic AI and operational automation
  • Trust, governance, and human oversight
  • Building a roadmap toward autonomous operations

Speaker: Collins Che

Meet your speakers

Senior Solutions Consultant, Observability, AIOps & Service Management
OpenText
Lead Solutions Consultant, specializing in IT Operations Management, Observability, AIOps, AI-First, and Digital Transformation
OpenText
Manager Professional Services
OpenText

Guest speakers/OpenText specialists will be joining us during the series.

What you'll learn

  • Detect issues before users are impacted
  • Cut through alert noise and focus on what matters most
  • Automate remediation and accelerate resolution

To create the clearest progression for customers:

Prevent → Correlate → Automate

Who should attend?

  • IT Operations Leaders
  • Operations Managers
  • Service Assurance Leaders
  • SRE Teams
  • NOC Managers
  • Observability Leads
  • Infrastructure Operations Teams
  • Platform Engineering Teams

Reserve Your Place

Participation is free. 

Attend All Three Sessions to follow the complete journey from prevention to automation.

Learn how leading organisations:

  • Detect issues earlier
  • Reduce event noise
  • Accelerate root cause analysis
  • Implement governed remediation
  • Build toward autonomous operations