Operations | Monitoring | ITSM | DevOps | Cloud

Technology trends and their impact on IT management

Join Rajesh Ganesan,VP, #ManageEngine and Pradyut, Product Manager, ServiceDesk Plus as they discuss about how technology has evolved over the last 20 years, the current #technology #trends such as #AI, ML, blockchain, etc. and how these impact #IT management. In addition, you’ll also get a glimpse of what’s in store for ManageEngine and ServiceDesk Plus in 2019.

How to Analyze Game Data from Killer Queen Using Machine Learning with Sumo Logic Notebooks

This year, at Sumo Logic’s third annual user conference, Illuminate 2018, we presented Sumo Logic Notebooks as a way to do data science within the Sumo Logic platform. Sumo Logic Notebooks integrate Sumo Logic data, data science notebooks and common machine learning frameworks.

Overcoming The Black Box Problem With Machine Learning in IT Operations

Chronically understaffed and constantly stressed-out IT Ops and NOC teams are overwhelmed by today’s IT noise. Artificial Intelligence (AI) and Machine Learning (ML) can help these teams because ML (and AI) are exceptionally good at processing enormous volumes of very complex data in real-time, or near real-time, and surfacing actionable insights. But ML successes in IT Ops are still hit-or-miss.

How CA Operational Intelligence enables IT operations teams to make smarter decisions -- Live Demo

See how CA Operational Intelligence enables IT operations teams to make smarter, faster decisions for enhancing user experience and improving IT service quality and capacity through mainframe to the cloud contextual intelligence. In this demo, you'll see how machine learning-driven analytics, along with out-of-the-box visualization and correlation, can help you drive a superior user experience and boost operational efficiency by up to 60%. Live demo presented by Adeesh Fulay, Director, Product Management

Can You Trust Machine Learning In IT Operations?

Chronically understaffed and constantly stressed-out IT Ops and NOC teams are overwhelmed by today’s IT noise. Artificial Intelligence (AI) and Machine Learning (ML) can help these teams because ML (and AI) are exceptionally good at processing enormous volumes of very complex data in real-time, or near real-time, and surfacing actionable insights.