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Today's IT Challenges Identified - and Solved by AIOps

Akhilesh Tripathi
Digitate

The pandemic has spurred organizations to rapidly shift away from traditional in-house IT infrastructures to modern and agile IT systems that support enterprise-wide digital transformation efforts, such as cloud migration and automation enablement. These digital transformation initiatives have been critical to business continuity in the midst of an unprecedented global market upset that came in the form of COVID-19.

Along with the shift to modern and agile IT systems comes an increase in the volume of data created by various digital systems and solutions. Traditional IT management solutions that involve manual efforts for tedious and repeatable processes cannot keep up with the pace of these rapid changes and leaves IT teams facing challenges surrounding infrastructure complexities, long delays in isolating and resolving IT faults, and inconsistent and variable quality of operations.

AI-driven software can help to overcome these challenges by acting as an intelligence tool to assess enterprise system behavior and detect anomalies, resolve IT incidents and even prescribe and proactively take action to prevent the disruption of IT operations.


Below are the findings from the recent Autonomous Enterprise Survey that uncovered trends around the ongoing adoption of artificial intelligence (AI) for IT operations (AIOps) and the technology's benefits to business users.

Today's IT Operational Challenges

To better understand the business and departmental need for AIOps, let's look at the top IT operational challenges organizations face today. The primary challenge organizational IT reported is dealing with too many routine and redundant tasks, with 82% reporting this as their top IT problem. The next biggest challenges were a lack of capabilities to proactively detect and correct system issues, and a need for flexibility to scale with business needs — with 64% of respondents claiming each of these challenges.

The benefits AIOps delivers to businesses perfectly address these current IT challenges. Well-built AIOps solutions leverage advanced AI-based reasoning to detect and correct system issues automatically — simultaneously reducing manual effort spent on managing IT operations by up to 60%. Many businesses recognize these benefits, with 82% reporting that AIOps is necessary for future growth and transformation of businesses.

Qualitative survey responses explained the thought process behind this prioritization of AIOps solutions. The complexity of hybrid and multi-cloud infrastructures, increasing transactional volumes and the criticality of online business systems make it impossible for traditional IT systems to manage every application and infrastructure without automation. The overwhelming amount of data in today's business operations is simply too much for manual analysis.

In addition, the insights provided by AIOps mean the performance of various tasks and decisions can be greatly improved while reducing the manual effort needed to conduct routine tasks — so IT teams can focus on more business-critical tasks that require their immediate attention.

Key Business Drivers for AIOps

There are multiple benefits to AIOps solutions that have significant impacts on an organization's ability to increase revenue and better plan for the future. 91% of organizations identified the removal of manual processes as the most critical benefit, with improved agility and reliability coming in second at 82%. However, AIOps can also support the need to build predictability and resolve problems faster, with 73% identifying this as another key business benefit.

Thanks to AIOps, organizations can adapt to changes fast, and evolve innovative processes that enable sustained growth

The ability to automate rote processes and increase reliability, as well as the ability to better plan for the future are critical to business leaders today, according to a recent PwC survey. Organizations want to give their leadership the confidence that they can remain efficient while withstanding stresses and disruptions. An agile IT operation, supported by AIOps, is an efficient vehicle to achieving resilience in today's constantly evolving, fast-paced business environment. Thanks to AIOps, organizations can adapt to changes fast, and evolve innovative processes that enable sustained growth.

The Obstacles in the Way of AIOps Deployment

With the challenges and benefits of AIOps well addressed and understood, why aren't all companies currently investing in AIOps initiatives?

There are several barriers to adoption, but the biggest obstacle highlighted by 73% of respondents is a lack of experience with intelligent IT solutions.

While this is to be expected for new technologies such as AIOps, as they are still evolving and nascent, organizations should not let it stop them from exploring the possibilities of AIOps further.

In addition, a lack of staffing/talent with appropriate technological skills was identified as a barrier to AIOps adoption by 45% of organizations. That said, digital transformation initiatives happen from the top down. Securing the sponsorship of company leaders is critical to any organizational change, and 55% of organizations claim they lack executive support for, or a strategic approach to, AIOps deployment.

The survey clearly identifies a need for companies to incorporate AIOps, or at the very least intelligent automation, into their organizational culture and strategy to meet the business goals of today's environments as they compound in complexity. AIOps offers a scalable solution to resolve current enterprise IT challenges by automatically detecting, resolving and preventing IT issues. Ultimately, AIOps helps to minimize revenue risk and improve business agility by ensuring zero downtime of critical applications.

However, to properly leverage the full advantages of AIOps, both IT and executive leadership teams must sync their knowledge and understanding of AIOps tools and technology, or risk falling behind their competition.

Akhilesh Tripathi is CEO at Digitate

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Today's IT Challenges Identified - and Solved by AIOps

Akhilesh Tripathi
Digitate

The pandemic has spurred organizations to rapidly shift away from traditional in-house IT infrastructures to modern and agile IT systems that support enterprise-wide digital transformation efforts, such as cloud migration and automation enablement. These digital transformation initiatives have been critical to business continuity in the midst of an unprecedented global market upset that came in the form of COVID-19.

Along with the shift to modern and agile IT systems comes an increase in the volume of data created by various digital systems and solutions. Traditional IT management solutions that involve manual efforts for tedious and repeatable processes cannot keep up with the pace of these rapid changes and leaves IT teams facing challenges surrounding infrastructure complexities, long delays in isolating and resolving IT faults, and inconsistent and variable quality of operations.

AI-driven software can help to overcome these challenges by acting as an intelligence tool to assess enterprise system behavior and detect anomalies, resolve IT incidents and even prescribe and proactively take action to prevent the disruption of IT operations.


Below are the findings from the recent Autonomous Enterprise Survey that uncovered trends around the ongoing adoption of artificial intelligence (AI) for IT operations (AIOps) and the technology's benefits to business users.

Today's IT Operational Challenges

To better understand the business and departmental need for AIOps, let's look at the top IT operational challenges organizations face today. The primary challenge organizational IT reported is dealing with too many routine and redundant tasks, with 82% reporting this as their top IT problem. The next biggest challenges were a lack of capabilities to proactively detect and correct system issues, and a need for flexibility to scale with business needs — with 64% of respondents claiming each of these challenges.

The benefits AIOps delivers to businesses perfectly address these current IT challenges. Well-built AIOps solutions leverage advanced AI-based reasoning to detect and correct system issues automatically — simultaneously reducing manual effort spent on managing IT operations by up to 60%. Many businesses recognize these benefits, with 82% reporting that AIOps is necessary for future growth and transformation of businesses.

Qualitative survey responses explained the thought process behind this prioritization of AIOps solutions. The complexity of hybrid and multi-cloud infrastructures, increasing transactional volumes and the criticality of online business systems make it impossible for traditional IT systems to manage every application and infrastructure without automation. The overwhelming amount of data in today's business operations is simply too much for manual analysis.

In addition, the insights provided by AIOps mean the performance of various tasks and decisions can be greatly improved while reducing the manual effort needed to conduct routine tasks — so IT teams can focus on more business-critical tasks that require their immediate attention.

Key Business Drivers for AIOps

There are multiple benefits to AIOps solutions that have significant impacts on an organization's ability to increase revenue and better plan for the future. 91% of organizations identified the removal of manual processes as the most critical benefit, with improved agility and reliability coming in second at 82%. However, AIOps can also support the need to build predictability and resolve problems faster, with 73% identifying this as another key business benefit.

Thanks to AIOps, organizations can adapt to changes fast, and evolve innovative processes that enable sustained growth

The ability to automate rote processes and increase reliability, as well as the ability to better plan for the future are critical to business leaders today, according to a recent PwC survey. Organizations want to give their leadership the confidence that they can remain efficient while withstanding stresses and disruptions. An agile IT operation, supported by AIOps, is an efficient vehicle to achieving resilience in today's constantly evolving, fast-paced business environment. Thanks to AIOps, organizations can adapt to changes fast, and evolve innovative processes that enable sustained growth.

The Obstacles in the Way of AIOps Deployment

With the challenges and benefits of AIOps well addressed and understood, why aren't all companies currently investing in AIOps initiatives?

There are several barriers to adoption, but the biggest obstacle highlighted by 73% of respondents is a lack of experience with intelligent IT solutions.

While this is to be expected for new technologies such as AIOps, as they are still evolving and nascent, organizations should not let it stop them from exploring the possibilities of AIOps further.

In addition, a lack of staffing/talent with appropriate technological skills was identified as a barrier to AIOps adoption by 45% of organizations. That said, digital transformation initiatives happen from the top down. Securing the sponsorship of company leaders is critical to any organizational change, and 55% of organizations claim they lack executive support for, or a strategic approach to, AIOps deployment.

The survey clearly identifies a need for companies to incorporate AIOps, or at the very least intelligent automation, into their organizational culture and strategy to meet the business goals of today's environments as they compound in complexity. AIOps offers a scalable solution to resolve current enterprise IT challenges by automatically detecting, resolving and preventing IT issues. Ultimately, AIOps helps to minimize revenue risk and improve business agility by ensuring zero downtime of critical applications.

However, to properly leverage the full advantages of AIOps, both IT and executive leadership teams must sync their knowledge and understanding of AIOps tools and technology, or risk falling behind their competition.

Akhilesh Tripathi is CEO at Digitate

Hot Topics

The Latest

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...