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Top Trends in AIOps
Top Trends in AIOps

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The market for AIOps solutions is expected to grow rapidly in the coming years, as more and more organizations adopt this technology to improve their IT operations. AIOps will become increasingly integrated with other technologies, such as cloud computing, big data, and machine learning. It will be used to solve a wider range of problems, beyond just IT operations. Below are some currents trends in the AIOps space:

Source: nasscom AIOps Report: The Key to Achieving Tech Agility

  • IT environments are growing at unprecedented rates.

With IT environments quickly scaling at unprecedented rates, traditional IT management approaches have taken a back seat. Offline, manual efforts that require a lot of human intervention don’t work in a world that operates on an ever-increasing pile of big data. AIOps, on the other hand, simplifies operations by introducing automation and other relevant technologies under one umbrella.

  • Continuous and unending growth of data to retain.

Apart from the IT environment, the amount of data that IT teams of today need to retain and explore is also increasing exponentially. Again, the traditional methods of going through this data to derive intelligence have taken a backseat. AIOps handles this complexity seamlessly, saving IT Teams a lot of time and headspace.

  • Enterprise AIOps adoption growth

There is no question that enterprises are ushering in AI technologies with their digital transformation strategies. AIOps will be integral to enterprise digital transformation moving forward. IT leaders are at the forefront of this transformation. IT leaders are strategizing the use of machine learning in multiple facets of

their enterprises, including sales, marketing, and security. Furthermore, enterprise operations are becoming too challenging and fast-paced for traditional practices to still be used. This is the main driver behind many digital transformations and will likely fuel the rapid growth of AIOps platforms.

  • Modern infrastructure problems require modern solutions.

With more businesses looking to digitize their operations, IT no longer remains a part of a business. Instead, IT is the business of today. The consumerization of tech has changed UX for industries far and wide. As a result of this, reaction to IT events needed to occur immediately, especially when the issue impacts user experience. Also, as AI priorities have shifted from financial analysis and consumer insight to cost optimization and customer experience in the wake of the pandemic, AIOps has found a new footing. Remote and hybrid working is continually showing the potential of AIOps.

  • Greater computing power at the edges of networks

Another important trend that has propelled the adoption of AIOps is the ease with which cloud infrastructure has empowered lines of business to build their own IT applications. As a result of that, budgeting and control of IT have shifted from the core to the edge, and more computing power is being presented at the edges - and not just the core.

  • AI Cybersecurity

Perhaps the fastest growing implementation of AIOps has come in the form of cybersecurity. Cybersecurity is the top use case for AI implementation. Companies are leveraging machine learning and artificial intelligence to detect malware and prevent cyberattacks. Many experts see AIOps as the next frontier in cybersecurity. Major players are already using these technologies for their cybersecurity needs as well. AI cybersecurity solutions can be used to detect malware and potential attacks ahead of time. These solutions learn from human behavior and previous breaches to prevent any further ones from ever happening.

 

Overall, the future of AIOps is very bright. This technology has the potential to revolutionize IT operations and make it easier for organizations to deliver better services to their customers.

 

To get more insights on AIOps, read our report from the links below -  


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Current Focus Areas: IT Services, AIOps, 5G, Cloud, Project Management. Also specialises in Application Rationalization, Cost Optimization, Benchmarking, Report writing, and Market Research.

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