Currently, AIOps is becoming critical to successful IT development. Read on to know how AIOps is crucial for Digital Transformation…
In the digital era, IT organizations that identify and understand patterns in vast and diverse data are best equipped to find, fix, and prevent performance-related problems. For instance, IT system failures — caused by cyberattacks, poor maintenance or other reasons — can cost organizations huge amounts of money. However, when digital transformation’s promise of hybrid and multi-cloud infrastructure creates complexity and outpaces IT performance management processes, it’s time to apply the power of Artificial Intelligence (AI) to IT operations (ITOps). Hence, it’s no wonder that several organizations are looking for better ways to avoid these interruptions altogether.
Emerging Artificial Intelligence applications can help organizations identify potential maintenance and security problems before they happen. Several large organizations are starting to use AI tools in IT operations or AIOps to automate many routine manual tasks, stay on top of IT system upkeep with minimal human intervention, and manage data generation and storage 24/7. The objective of AIOps is to make IT operations efficient and fast by processing massive amounts of data and bringing it down to a few actionable items, and eventually using it to drive a more meaningful set of actions.
AIOps was initially used by Gartner in 2017 as an acronym for Artificial Intelligence for IT operations. AIOps is a beautiful synchronization of machine learning, analytics, and AI. These technologies are brought together in order to derive meaning from massive datasets. It pools all kinds of data gathered from different sources and uses advanced AI and ML operations to enhance a wide range of IT operations. The insights derived are far beyond what human analysis could achieve.
As IT infrastructure is becoming progressively complex with the demands of digital transformation, this potential of AIOps is becoming critical to successful IT development. Traditional methods of managing your complex infrastructure could increase your costs, create maintenance issues and increase possibilities of slowdowns. AIOps can equip your IT teams to overcome such problems, trends, and slowdowns. It allows your teams to prioritize and focus on the most important information while AIOps reduces normal alert noises and identifies patterns automatically without human input.
The simple fact is — AIOps is becoming a high priority necessity for every organization. Gartner predicts that 30% of large enterprises will adopt AIOps by 2023. According to another research, AIOps platform market is expected to grow to $11.02 billion by 2023. Hence, the question larger organizations should ask themselves is not “if” they need to adopt AIOps, but “when.”
Since digital transformation includes cloud adoptions, quick change and implementation of new technologies, it requires a shift in focus. Instead of users struggling with traditional services and performance management strategies and tools, AIOps offers organizations a perfect model to handle digital transformation. It can help your team to manage the speed, scale, and complexity of changes, which are the key challenges of digital transformation.
Developing core capabilities such as machine learning, open data access, and big data can prove beneficial. For example, the massive amount of data generated by digital transformation can be overwhelming. Since the AIOps platform must support responsive ad-hoc data exploration and deep queries, developing this capability can also help you build up progress towards the use of AIOps.