AIOps and AI can provide a self-sustaining digital business

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by Priya Dialani


February 12, 2021

How to transform your business into a self-sustaining digital business?

In recent months, industries around the world have been facing seismic changes. The entire workforce is now working virtually, business advancement is a higher priority than ever, and resilience and development are key to overcoming global vulnerability.

The current push for digital transformation and business agility requires organizations to take action to compete with their peers and stay competitive. This development requires the adoption of new advancements that help increase efficiency, derive more ROI from existing processes, improve the customer experience, and improve speed and performance.

In the wake of digital transformation, the complexity of the IT framework has grown at a cosmic rate. You face dramatic expansions in infrastructure data and are beyond human capacity for manual analysis. Your infrastructure is continually transforming and changing, but you are expected to determine incidents and performance issues in seconds, not days.

Finally, technology is shifting from an enabling influence to a driving force behind progress. This is a prerequisite for the evolution of companies towards the emergence of Autonomous Digital Enterprises (ADEs). Growing a self-sustaining digital business requires an exceptionally dynamic, flexible and scalable IT infrastructure, and this is where AI-driven IT operations (AIOps) come in.

According to O’Reilly, AIOps is emerging as the go-to solution for IT teams hoping to deliver high performance with great flexibility. 85% of companies are evaluating or using artificial intelligence in production today.

Progress towards transformation into ADE will not happen overnight. This will require proactive contribution across the business. To move forward, teams must strive to use more and more automation, machine learning and artificial intelligence solutions to ensure that the business continues to operate as the business reassesses itself. Additionally, with AI-powered IT operations (AIOps), teams would now be able to upgrade existing operations to improve uptime, performance, and customer experience.

AIOps can quickly acclimate and contextualize immense amounts of data in many configurations to recognize problems, patterns and irregularities in the computing environment. When an issue develops, AIOps provides insight into the underlying engine, allowing the issue to be immediately resolved while avoiding lengthy investigations. He can also anticipate issues that may influence the business later, so that proactive steps can be taken to limit their impact.

While AIOps alone can bring tremendous benefits to a business, they are considerably more impressive when paired with robust, cross-domain automation. When AIOps and intelligent automation are combined, autonomous steps can be taken in light of AI-driven insights. Together, they can take preventative action before problems really impact the business and improve overall performance. This limits the human information needed, with AIOps and automation quickly and autonomously overseeing end-to-end processes on their own, approaching ‘self-healing computing’.

Often times, the challenges faced by ITOps teams have gone beyond human limits. Business data volumes keep increasing, while IT frameworks become more and more complex. This is all the more true as the workforce works remotely. These difficulties will simply develop, and therefore intelligent autonomy is vital for future achievement.

With the help of AIOps, ITOps groups can ensure increased speed, agility and productivity, while focusing their attention on fast-paced, revenue-generating races – each of which is essential for having ADE capabilities.

When AIOps reaches maturity, organizations can understand critical business effects and ROI, and open up untold opportunities for the customer. Plus, with the right plan and execution, AIOps empowers any business to grow into a fully self-sustaining digital business.

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