How can Wide-Automation and AIOPs Help You in Your Business?
The majority of the organisations all around the globe are turning to revolutionise their businesses. They are doing this by providing some intuitive and interactive on-demand services on a wide range of devices to millions of customers around the world. All this requires a rethinking of the entire IT experts and operations strategy.
Gartner, in their report for 2019, listed various revolutionary technological and research tools into how these services challenge IT organisations from both the operations and management points of view.
Artificial intelligence (AI) for IT operations is known as AIOps and can be defined as the use of automation for providing a complete solution for critical IT operational tasks. The AIOps platforms, combined with big data and machine learning (ML), can support the fundamental IT operations in the tasks of scalable analysis and ingestion of the ever-increasing variety, volume, and velocity of data generated by IT. This platform allows the concurrent use of multiple data sources, data collection techniques, as well as analytical and presentation technologies.
What Function Do AIOps And Automation Perform?
AIOps solutions collect data from structured, semi-structured, and unstructured data sources across the hybrid IT, characterised by highly scalable data ingestion and discovery abilities. Later it applies different rules, policies, and machine learning-driven techniques across the data pipeline to deliver powerful insights. Using time-series event correlation, multi-domain correlation, pattern detection algorithms, and topology data, AIOps solutions identify the prime cause of incidents at a faster rate. Also, the event clustering algorithm helps in reducing the noise and predicting future events.
By deploying AIOps, organisations get a handle on massively growing operational data, reduce alert fatigue, and also reduce the average time required to recognise the root cause of incidents that impact the business. This includes various types of cyber-attacks and social engineering attacks like phishing. It also supports the business enterprises in responding to seasonality-driven workload demands, compliance requirements, and security threats.
Secondly, AIOps helps business organisations expedite workload migration to the cloud, gain visibility into cloud resources, and gather insights into resource utilisation. It helps them right-size their workload for specific applications and optimises cloud subscriptions for a higher return on investments. Moreover, it also helps the firm to speed up digital and technological transformation and deliver innovative products and fast services.
Various automation solutions, such as analytics-driven execution framework, closed-loop automation, and model-driven workflow designs, help businesses automate repeating IT tasks, which contributes to optimising labour investments, boosting service availability, and reducing operational costs.
How Is Business Being Benefited?
The increasing complexities of digital business transformation are forcing businesses to reconsider how they guarantee application performance and infrastructure. The demands for faster and on-going business services, along with exponential growth in data and incidents, means that IT operations have increased in number and become noisier.
With AIOps and full automation, businesses innovate at the core of their operations. It means that they can meet the increased pressure of digitalisation and can focus on strategies for future success. AIOps expands the existing IT operations and network performance monitoring tools used by IT teams to keep the business running. It helps IT teams leverage the insight and potential revenue of big data, making them crucial for a successful business.
With this solution, IT teams proactively contribute to business success both by preventing costly downtime and providing the insights needed to boost up business performance. Furthermore, automation is a useful application of machine learning from the perspective of humans, which can be used to perform data analysis or monitor and react to faults.
How To Decide If AIOps Is For You Or Not?
It is quite evident that AIOps might not suit every IT organisation, especially smaller IT organisations with less fragmentation. If these organisations have centralised and efficient toolsets that meet business SLAs with low cost then, investment in AIOps solutions might not be justifiable.
Furthermore, when it comes to adopting AIOps within your organisation, your IT team members might become annoyed by the loss of control and changes imposed by the new system. They might not trust your new platform. Moreover, if you operate the AIOps platform with unreliable data or with unskilled employees, especially when it comes to AI and ML, then you may face problems, and AIOps solutions won’t work for you. Therefore, it is essential to educate and familiarise your employees with the latest technologies. By doing so, their incorporation into your business becomes easier.
How to Implement AIOps In Your Business?
Organisations can start their AIOps adoption by getting cross-silo buy-in on various AIOps concepts and values. They can recognise the operational pain points and use cases and experiment with different solutions to decide whether to buy or build a solution. When they’ve decided to buy a solution, then while purchasing, it is essential to go beyond IT to ensure that solutions solve their business cases.
A combined AIOps and automation platform can provide emerging solutions for enterprise IT stakeholders to attain their objectives for digital transformation, assure customer satisfaction and enhance their revenue growth.
The development of AIOps is insightful in digital transformation that has seen applications and services brought together. Every business application exchange and service depends on the digital infrastructure, making IT a worthy business asset. AIOps provides IT teams with an increasing number of insights into the infrastructure to help businesses remain competitive and meet the demands of the customer.
Applied Data Science Partners is a London based consultancy that implements end-to-end data science solutions for businesses, delivering measurable value. If you’re looking to do more with your data, please get in touch via our website.