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StAIble's AIOps Radar Part 3: First Platforms
In this blog, we'll focus on logging solutions and metrics & observability solutions.
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Navigating the AIOps Landscape in 2024
Join us in exploring insights from our founders, who share their experiences and perspectives on the evolving landscape of AIOps and what the future may hold.
As 2023 draws to a close, it’s time to pause and reflect on the lessons learned and the strides made in the field of AIOps. This past year has been a journey of discovery and adaptation, laying the groundwork for what's to come. Now, as we stand at the threshold of 2024, it's an opportune time to cast our eyes forward. Join us in exploring insights from Kilian Niemegeerts and Dries Moelans of stAIble, who share their experiences and perspectives on the evolving landscape of AIOps and what the future may hold.
Reflecting on the journey of AIOps in 2023, Kilian Niemegeerts kicked off the year with some thoughtful insights. "It's fascinating to see how many companies have reached out to us," he shared. "They feel like they're stuck in a bit of a rut operationally. But when we bring AI into the conversation, there's this noticeable shift. It's like there's a mix of excitement and a bit of nervousness about what AI really means for their operations."
This hesitation, it turns out, is rooted in a couple of common misunderstandings. On one hand, you've got some businesses that think of AIOps as this sort of all-solving wonder tool, ready to fix every operational challenge on its own. On the other hand, there are concerns that weaving AI into the mix might phase out human roles, and that's causing some pushback against adopting AI. These misconceptions are pretty big barriers to fully embracing the benefits of AIOps.
In a clever move to tackle these challenges, Dries Moelans shared their new approach. "We've started to rephrase our AIOps initiatives as 'Operations Modernisation'," he explained. The idea here is to shift the narrative a bit – it's more about gradually enhancing operational processes in partnership with AI, rather than a total overhaul. This change in wording by stAIble is all about easing those fears and clearing up misunderstandings. It's a reminder that AI isn't here to take over, but to work alongside us, to progressively refine how businesses operate.
Building on this foundation, Kilian Niemegeerts then spoke about the initial steps in adopting AIOps. "It's interesting to see platforms adding 'AIOps buttons,' implying a simple, one-click solution to complex operational challenges," he notes. Kilian recognizes that while these features might only cover a fraction of what AIOps can truly offer, they represent a positive movement in the industry. "These buttons, though somewhat limited, are a step in the right direction. They begin to acquaint users with the concept of AI-driven operations, laying the groundwork for more comprehensive integration in the future."
The conversation then shifts to identifying ideal candidates for early AIOps adoption. Kilian points out that companies heavily reliant on log data, particularly those using an ELK (Elasticsearch, Logstash, Kibana) stack, are well-positioned to leverage AIOps effectively. "Log-driven companies already have a wealth of data at their fingertips. Integrating AIOps can transform this data into actionable insights, significantly enhancing operational efficiency," he explains.
In the world of AIOps, one of the big talking points is the cost of powerful AIOps platforms like DynaTrace or Turbonomic. They're packed with amazing features, sure, but they don't come cheap. Kilian Niemegeerts offers some insights into how things are shaping up in the market. "Right now, we're seeing AIOps mainly attracting early adopters," he notes. "Mostly, these are larger enterprises, and that's pretty evident in how these solutions are priced. But there's a shift happening towards the SME market, and I think that's going to open the door to more wallet-friendly pricing models."
Then there's Dries Moelans, who brings an essential angle to the table: how businesses weigh up the worth of AIOps. "It's common to see companies trying to match up the cost of AIOps licenses with the number of full-time roles they could save," he observes. "But this kind of math tends to miss out on the bigger picture." Dries stresses that AIOps isn't just about cutting down on labor. It's about stepping up the overall efficiency of operations and reducing risks.
Take e-commerce, for instance, where AIOps really shines beyond just saving on manpower. "In the e-commerce world, downtime isn't just a minor hiccup – it hits the wallet hard and can really harm a brand's image," Dries explains. "If you have a tool that can drastically cut down on downtime, that's a big deal. It's not just about saving on labor costs; it's about protecting your revenue and keeping your customers' trust. And in the long run, that might just be worth a lot more."
Looking ahead to 2024, there's a real buzz about generative AIOps and its potential to revolutionize IT operations. This emerging trend is more than just a step forward; it's a giant leap in how AI can enhance operational processes. We're not just talking about AI that analyzes data, but AI that actively suggests and implements solutions.
Kilian Niemegeerts is quite enthusiastic about what this means for the future. "Generative AIOps is genuinely groundbreaking. It goes beyond merely diagnosing what's up with your systems. We're looking at AI that actively proposes, even carries out solutions," he says. This move towards AI systems that proactively tackle problems could be a game-changer for operational efficiency and how decisions are made.
At stAIble, we're keeping a close eye on these developments, aiming to seamlessly integrate generative AIOps into our offerings. For those looking to stay at the forefront of the IT operations evolution, partnering with stAIble could be your gateway to leveraging generative AIOps for transforming your business in 2024 and the years to follow.
