OpsRamp's recent study found that both enterprises and MSPs are prioritizing efficiency in 2023.



Despite a positive economic outlook, 68.5% of respondents indicated that improving operational efficiencies is necessary for sustained profitability and growth.

The survey revealed that the top priorities for ITOps teams in 2023 are automation (65.9%) and greater efficiency/productivity (60.9%). This suggests that automation is the key to achieving these goals.

Most organizations are utilizing AIOps for automation, with automated operations and processes being their primary objectives. Enterprises seek to automate operations (58%) for increased team productivity, while MSPs want to automate processes (55%) for improved governance.

The top AIOps features for both groups include built-in monitoring/native instrumentation, incident visualization, and impact visibility/service context.

Intelligent alerting is the most used AIOps feature, with incident auto-remediation being more popular with MSPs. Root cause analysis and anomaly/threat detection are favored by enterprises.

By implementing AIOps, organizations can benefit from reduced incident tickets and faster resolution times, with more than half citing automation of tedious tasks as a primary benefit. A majority of respondents report a reduction in incident resolution time of 25-50%.

Improvements in automation are a priority for enterprises and MSPs in 2023, with many organizations seeing benefits from AIOps within six months of implementation.

I believe that AIOps is becoming increasingly crucial for enterprises and MSPs looking to enhonce efficiency. One of the key features is real-time monitoring. This allows for the detection of anomalies and issues before they can impact the end-users. It employs machine learning algorithms to analyze vast amounts of data and identify patterns that could indicate potential problems.

Another important feature is incident resolution automation. By automating repetitive tasks, teams can focus on more complex issues, saving time and reducing human errors. AIOps tools often integrate with existing ITSM systems, allowing for a smoother workflow and faster resolution times.

Additionally, capacity planning is vital. AIOps can provide insights into resource utilization, helping organizations to predict future needs and allocate resources more effectively. This prevents overprovisioning and underutilization, which are common pitfalls in IT management.

Predictive analytics is another piece of the puzzle. By analyzing historical data, AIOps can forecast potential incidents, enabling proactive measures to be taken. This reduces downtime and enhances overall service reliability.

Furthermore, AIOps fosters collaboration among IT teams by providing a centralized platform for information sharing and communication. This breaks down silos and ensures everyone is on the same page.

Customizability is essential. Each enterprise has its own unique challenges, so the ability to tailor AIOps tools to specific needs ensures that organizations can maximize their efficiency and effectiveness.
The adoption of AIOps features like real-time monitoring, automation, predictive analytics, and collaboration platforms can significantly boost the operational capabilities of enterprises and MSPs, drive efficiency, and ultimately lead to better service delivery and customer satisfaction.