When issues arise with digital technology—as they invariably do—companies must have the ability to fix them before they create any business impact.
These days, more and more companies are discovering that the solution is AI. The beauty of artificial intelligence is that it enables organizations to remediate problems effectively and automatically, with minimal human intervention, all in rapid fashion, and they materially impact the business.
AI can predict a business disruption before it happens and resolve the looming problem well before users and customers are impacted. This is critical in today’s digital world, where a technical failure can critically injure your business.
Almost every company now communicates with customers via digital channels and this digital customer experience is a vital component of success. Because when problems occur—when customers can’t access their rideshare app, when they can’t log on at their banking site, when their video conferencing tool starts to glitch—the result is not just an annoying experience but a direct impact to customer satisfaction or employee productivity.
Or worse. Take, for example, this year’s Iowa Caucus. The world watched firsthand the havoc that was wrecked when a seemingly simple smartphone app failed to transmit results. The fallout: a lot of Democrats are now calling for an end to the caucus, which generates over $11 million for Des Moines alone in the week leading up to the caucus.
That would be a big hit. But, as we all know, no technology is perfect and hits will inevitably happen if they’re not spotted and stopped ahead of time.
So how can you detect problems early on and fix them before they cause significant damage? The answer is artificial intelligence. AI can serve as an early warning system that detects the danger signs and symptoms that precede problems—such as anomalies in health and performance data—and issues an alert. It can then trigger actions to prevent the problems identified from occurring. In this way, AI can help you prevent outages, save time and money, improve employee productivity, and shield your business from damaging brand impact.
With AI, you’re no longer in a defensive, reactive posture, constantly trying to put out fires and deal with the unexpected. Instead, you’re proactively addressing potential problems and moving your business forward. The more automation you apply, the more you can increase productivity, lower costs and transform your business.
AI offers your digital organization the ability to see more, know more and do more. Here’s how.
- See more: AI gives you insight to what’s happening in your IT infrastructure—from your internal network all the way to your cloud system—in near real time. All changes are captured, correlated and visualized in the most effective way.
- Know more: AI enables you to predict any issues there may be within your complex IT environments. It tells you what might happen based on previously learned behavioral patterns.
- Do more: By automating certain functions, AI allows your users to do more with their time and contribute more to your business, rather than worry about routers, cloud, and containers. They can focus on the core competency of their business, rather than struggling to keep the lights on.
For organizations large and small, the role of AI is potentially vast, but the most effective end-goal is in automating a function proactively. It can deal with simple tasks like detecting accidental changes within an infrastructure. It can also handle complex issues like automatically scaling your global infrastructure to optimize the cost. It creates efficiencies, reduces costs and speeds both time to detection and time to resolution. In fact, a good monitoring tool powered by AI can automate the entire remediation process for you.
But what constitutes good? As you research AI monitoring tools, look for one that can proactively detect problems. A tool that doesn’t just tell you that you’ve got a problem but gathers the information required to uncover the root cause of the problem and even fixes it for you.
With a tool like that in hand, you’re a step ahead. When a problem arises, you’re no longer manually checking every piece of infrastructure in your environment—which (spoiler alert) is not humanly possible in today’s complex digital infrastructures.
With a monitoring tool powered by AI and automation, you can know exactly what’s happening in your environment at any given time. You can see what’s working and what isn’t. You have contextual intelligence across your complex infrastructure and meaningful alerts that depict signal and eliminates noise. You can discern patterns and apply foresight to stop problems before they happen. With a good AI monitoring tool, you can even automate many of the troubleshooting steps, along with the remediation process itself.
I believe technology should enable businesses to see issues coming before they happen and help solve them automatically. It’s analogous to an autonomous vehicle – let the AI make undistracted decisions for you for a safe driving experience than humans can provide. After all, it’s only fair if technology causes a problem, it should also fix the problem.
And it should do more. Indeed, it can do more. The right AI monitoring tool will allow your organization to spend less time troubleshooting and more time innovating. It will also allow your customers to spend less time cursing their screens and more time enjoying your products and services.
When you start automating certain functions, you’ll start winning. With the right AI monitoring tool, you’ll drive better customer experiences because your systems will be up and running all the time, without those outages that irritate your customers.
In today’s digital economy, your customers demand a great, always-on experience. The question is, can you provide it? With AI, the answer is a resounding yes.
By Tej Redkar
Chief Product Officer at LogicMonitor
Tej has been building enterprise software products for more than 20 years. He has led engineering, product management, user experience, and data science teams several times in his career in industry-leading organizations like Microsoft, VMWare, Cisco, and AppDynamics. Tej has consistently delivered highly successful products like Rational Rose, VMware Labs, Microsoft Azure Machine Learning, PowerBI, and AppDynamics that have fundamentally transformed people’s productivity in respective domains. His latest milestone was architecting Cisco’s $3.7 billion acquisition of AppDynamics from ground zero and enhancing the AppDynamics platform by infusing large-scale AI/Machine Learning capabilities for automated complex root cause analysis.
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