Operations | Monitoring | ITSM | DevOps | Cloud

If you had the power to predict the future, how would you use it? Gartner refers to the predictive modeling process as that which collects data, formulates a statistical model, makes predictions, and then validates the model as additional data becomes available. In the world of intelligent automation, teams use predictive modeling to formulate how future outcomes or behaviors will be, by using historical data, machine learning (ML) algorithms, and analytical techniques.

At the beginning of 2023, I had a great conversation with Carlos Casanova, a Forrester Principal Analyst, in a recent webinar about how AIOps can help drive successful organizational change. According to our conversation, Carlos has divided the AIOps market into two camps: technology-centric (primarily APM/Observability players) and process-centric. PagerDuty is a process-centric solution leveraging multiple technologies.

It seems like we can’t escape the burden of uncertainty. From the countless things we were uncertain about during the Covid-19 pandemic to the current state of the economy, financial circumstances and trends, and fear of unemployment. For many of today’s businesses of all sizes, predicting the future might appear nearly impossible. IT teams at the start of the pandemic in 2020 shifted without notice to supporting remote employees.

IT networks are the foundation of businesses today. Robust networks enable organizations to conduct seamless business operations and deliver services continuously to customers. To maintain healthy, robust networks, companies depend on ITOps. ITOps refers to the provisioning, monitoring, and management of IT networks to ensure maximum uptime and a better end-user experience.

The rollout of new technology can come with hesitation and even fear, and generative AI is no different. The New York Times in February 2023 dubbed the popularity of ChatGPT a “phenomenon” that started an AI arms race – one that wasn’t exactly welcomed by news writers, marketing agencies, or business leaders.

Implementing a Cognitive Network Operations Center (Cognitive NOC) comes with its fair share of challenges, but businesses must be able to rely on technology to operate and grow, making network performance, reliability, and security top priorities.