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4 reasons AIOps should be part of your digital transformation

Prasanna Velayudham IT Transformation Director for Application Management, Capgemini North America

The pandemic encouraged organizations to accelerate their digital transformation plans, and many are already kicking off new initiatives. An important shift is an increased focus on performance-driven milestone planning.

Quantifying real value creation from digital initiatives is difficult, and no one can predict future blind spots and the ramification of global events. Because of this, digital initiatives must go beyond the business unit and across the enterprise to bring sustained benefits that affect customers and revenue.

One such initiative is AIOps, or artificial intelligence for IT operations, which can bring transformational benefits and scale to the enterprise. AIOps can contribute to digital transformation objectives—such as helping to improve customer outcomes, grow digital revenues, reduce operational costs, and launch new products and services quickly while still improving quality.

AIOps includes IT operations that maximize the use of data, analytics, and automation across all service management practices and software delivery. It’s a combination of disparate technologies for data collection, data processing, data analysis, data visualization, and automation tools and technologies. Organizations adopt AIOps (both AI and machine learning) to glean actionable insights from data generated by various IT assets and users of the IT systems.

Here are four reasons why AIOps should be a priority for your digital transformation initiative.


AIOps enables customer centricity

IT leaders can leverage AI- and ML-based data analytics to help their business understand customer behavior with a new, deeper level of detail. Businesses can leverage the advanced monitoring and observability inherent in AIOps tools to pinpoint the benefits of each product release, which in turn can help product teams and service design teams build differentiated systems that have a direct impact on revenue.

This has led IT departments that were once seen as cost centers to become strategic enablers, with their ability to unleash the power of data captured from enterprise systems. With this data, they are able to understand user behavior, customer trends, and customers' experience journey and to design customer-focused improvements that can drive adoption of systems necessary for digital transformation.


AIOps drives business cohesion

AIOps presents a unique opportunity for IT leaders to demonstrate to their business counterparts the value that can be derived from enterprise data. Forward-thinking IT leaders are bringing all the monitoring, metric, and log data from the network, infrastructure, and applications to map business performance. This correlation serves as great insight into business key performance indicator (KPI) monitoring, underpinned by IT KPIs. With fewer blind spots, business and IT teams have come together in an efficient and beneficial way.


AIOps brings operational resilience

Operational resilience is the ability of the business to perform at near normal levels with least impact from major disruption. With pre-trained automations and algorithms, from data management to incident remediation, AI-infused operations are set up to fully automate transactional workloads.

A regular day in the life of AIOps teams includes continuous training of automation programs to direct work. This AIOps culture, solution, and mindset, along with robust risk management practices, drive the ability to deliver on the promise of resiliency.


AIOps assures predictability in services

As AIOps maturity progressively moves to predictive algorithms, these tools can predict failures in a DevOps pipeline or application performance with various time series data patterns and baseline trends that can have a huge impact on the business.

AI and analytics can help with capacity planning, from infrastructure resources to the digital workforce, to augment operations and accommodate fluctuating demand. This predictability helps organizations to forecast and prevent issues before they arise.


Tap into that data

You can derive clear organizational benefits from the untapped potential of data sitting in IT systems. By applying advancements in big data, AI and ML algorithms, and visualization techniques in IT, AIOps is gaining momentum as a top priority for organizations pursuing digital transformation.

If your organization is looking for ways to push its digital transformation forward, consider the advantages of an AIOps approach. You’ll improve customer centricity, business cohesion and operational excellence, while ensuring predictability in IT services. It’s time to get started.

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