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It's Time to Change the "Channel" to AIOps

Antonio Piraino

The life of a channel partner is challenging. As today's enterprise customers undergo large-scale digital transformation initiatives, the challenges for the channel are many, including the need to stay current with the newest technologies.

Since digital transformation is happening at such a rapid pace based on new, highly complex technologies like multi-cloud, containers and microservice architectures, customers are experiencing more challenges than ever in managing this complexity. However, with every challenge comes an opportunity. So, how can channel partners leverage these market disruptions to open the door to opportunity?

The answer is simple. As enterprise IT challenges expand in both breadth and depth, IT operations teams are being pushed to transition from ITOps to AIOps.

AIOps (Artificial Intelligence for IT Operations) is an innovative framework that combines AI and ML to address operational complexity in IT. By helping customers embrace AIOps, the channel is meeting the growing demand for modern technology solutions that address today's IT complexities. The channel should seize the opportunity around the AIOps market, forecasted to reach over $11 billion by 2023.

So, what's behind AIOps, and why is it such an attractive option for channel partners seeking to capitalize on digital transformation?

IT as a Business Enabler

The draw for channel partners is the immense market value. However, behind these numbers lies a powerful story. As more enterprises rely increasingly on digital infrastructure, IT outages can cost an organization hundreds of thousands of dollars per minute. Therefore, the path to AIOps will not only create IT efficiencies but can also make a sizable impact on the customer experience and bottom line.

Ultimately, AIOps can enable IT teams to predict and prevent outages and remediate issues through automation resulting in reduced downtime, which equates to happier customers.

Additionally, equipping channel partner sales teams with innovative technologies that enable high value business outcomes can lead to more strategic discussions, position partners as a trusted advisor, and yield wider margins.

Complexity of Modern Ops

The scope of data and degree of IT complexity are outpacing the human capacity to collect, organize, and manage information, and therefore to predict, prevent, and remediate IT challenges.

With the advent of VMs, multi-cloud, hybrid IT, containers and microservices, IT operations require advanced capabilities that can operate seamlessly across variegated architectures, work at machine speed, and automate. This presents a strong market opportunity for AI/ML-driven technologies, since legacy tools, designed for the mainframe era, are ill-equipped to work in today's cloud and ephemeral IT environments.

To make matters worse, most legacy monitoring tools also require multiple add-on modules or are nearing end-of-life (i.e., some vendors have announced they will no longer support legacy monitoring suites). Enterprises need more viable alternatives that will keep pace with the dynamics of today's IT landscape. As demand rises and legacy technologies fail to deliver, the channel stands to benefit from the AIOps wave.

The recognition that AIOps is the future of automation and the confluence of market variables represents a massive opportunity, not only for end-users seeking to have their pain points addressed, but also for providers and channel partners seeking to provide robust solutions to further enable enterprise customers now, and well into the future. The time for providers and their partners to embrace AIOps is now.

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It's Time to Change the "Channel" to AIOps

Antonio Piraino

The life of a channel partner is challenging. As today's enterprise customers undergo large-scale digital transformation initiatives, the challenges for the channel are many, including the need to stay current with the newest technologies.

Since digital transformation is happening at such a rapid pace based on new, highly complex technologies like multi-cloud, containers and microservice architectures, customers are experiencing more challenges than ever in managing this complexity. However, with every challenge comes an opportunity. So, how can channel partners leverage these market disruptions to open the door to opportunity?

The answer is simple. As enterprise IT challenges expand in both breadth and depth, IT operations teams are being pushed to transition from ITOps to AIOps.

AIOps (Artificial Intelligence for IT Operations) is an innovative framework that combines AI and ML to address operational complexity in IT. By helping customers embrace AIOps, the channel is meeting the growing demand for modern technology solutions that address today's IT complexities. The channel should seize the opportunity around the AIOps market, forecasted to reach over $11 billion by 2023.

So, what's behind AIOps, and why is it such an attractive option for channel partners seeking to capitalize on digital transformation?

IT as a Business Enabler

The draw for channel partners is the immense market value. However, behind these numbers lies a powerful story. As more enterprises rely increasingly on digital infrastructure, IT outages can cost an organization hundreds of thousands of dollars per minute. Therefore, the path to AIOps will not only create IT efficiencies but can also make a sizable impact on the customer experience and bottom line.

Ultimately, AIOps can enable IT teams to predict and prevent outages and remediate issues through automation resulting in reduced downtime, which equates to happier customers.

Additionally, equipping channel partner sales teams with innovative technologies that enable high value business outcomes can lead to more strategic discussions, position partners as a trusted advisor, and yield wider margins.

Complexity of Modern Ops

The scope of data and degree of IT complexity are outpacing the human capacity to collect, organize, and manage information, and therefore to predict, prevent, and remediate IT challenges.

With the advent of VMs, multi-cloud, hybrid IT, containers and microservices, IT operations require advanced capabilities that can operate seamlessly across variegated architectures, work at machine speed, and automate. This presents a strong market opportunity for AI/ML-driven technologies, since legacy tools, designed for the mainframe era, are ill-equipped to work in today's cloud and ephemeral IT environments.

To make matters worse, most legacy monitoring tools also require multiple add-on modules or are nearing end-of-life (i.e., some vendors have announced they will no longer support legacy monitoring suites). Enterprises need more viable alternatives that will keep pace with the dynamics of today's IT landscape. As demand rises and legacy technologies fail to deliver, the channel stands to benefit from the AIOps wave.

The recognition that AIOps is the future of automation and the confluence of market variables represents a massive opportunity, not only for end-users seeking to have their pain points addressed, but also for providers and channel partners seeking to provide robust solutions to further enable enterprise customers now, and well into the future. The time for providers and their partners to embrace AIOps is now.

Hot Topics

The Latest

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...