Join us for a comprehensive walkthrough of Motadata's unified network monitoring platform. See how to gain full-stack visibility across your infrastructure in real time.
This webinar explores how AI-powered observability can revolutionize your IT operations, covering practical strategies for implementing AIOps to reduce MTTR, predict failures, and automate remediation across your infrastructure.
Understanding the fundamentals of AIOps and its impact on modern IT operations
Implementing machine learning models for anomaly detection and root cause analysis
Reducing Mean Time To Resolution (MTTR) by up to 70% with intelligent automation
Best practices for integrating AIOps into existing monitoring infrastructure
Real-world case studies from Fortune 500 companies
Date
March 15, 2024
Duration
45 minutes
Attendees
2,500+
Level
Intermediate
Webinar Agenda
A comprehensive breakdown of topics covered in this session.
Overview of webinar objectives and speaker introductions
Current challenges facing IT teams and the need for intelligent automation
Technical exploration of key monitoring and observability principles
Real-world implementation examples and proven strategies
Speakers & Presenters
Learn from industry-leading experts in observability and IT operations.
Associate Product Lead, PMG Team – Motadata • Motadata
Sakshi Asudhani is an Associate Product Lead at Motadata, working within the Product Management Group (PMG). She focuses on building and enhancing AI-driven IT operations and ITSM solutions. With strong expertise in product strategy and user-centric innovation, she plays a key role in shaping Motadata’s ServiceOps and ITSM capabilities.
Product Manager, PMG Team – Motadata • Motadata
Keertan Zala is a Product Manager at Motadata and part of the PMG team. He is responsible for driving product development, feature enhancements, and aligning solutions with customer needs. His work focuses on delivering scalable IT monitoring and observability solutions that improve operational efficiency and performance.
Resources
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