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

Antonio Piraino
Learn more about ScienceLogic

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
Learn more about ScienceLogic

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.

Related Links

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Related Vendors

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

AI Deepfakes: Rethinking Trust in the Workplace

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...