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AIOps is steroids for your productivity

No doubt, you’ve seen them. All those articles and blogs about robots taking over the world, replacing all carbon-based life forms forever in the workplace. True, we will need to integrate machine intelligence with human intelligence for a peaceful coexistence, but it’s certainly worth the effort given the potential for growth and innovation in all aspects of life.


Putting any future shock aside for the moment, let’s concentrate on how AIOps can be a brilliant productivity boost across the enterprise. There’s no time like the present to take advantage of AI benefits.


AI will drive the business model of the future.
"AI is poised to transform business solutions across a wide variety of sectors in more ways than you can imagine," says Mark Minevich, advisor and board member for Comtrade Software. "The digital solutions economy empowered by AI is the new business model of the future. AI is, and will continue to be, adopted by enterprises, allowing organizations to extract knowledge from all the data that is currently being generated,” says Minevich


AI-related hardware, software and services companies will jump to $47 billion by 2020, according to IDC. On top of that, by the end of 2016, more than 80 of the world’s 100 largest enterprise software companies (by revenue) already had one or more integrated cognitive technologies in their product line and customer experiences.


By the end of 2018, there will be 6 billion AI-connected devices and more than half of CMOs believe that AI’s impact on the business world will be more pivotal to the future of work than social media’s shake-up a decade ago.


AIOps is a great team player.
AIOps is not so much about being replaced by robotics as it is about working smarter. Mark Mader, CEO at Smartsheet, believes that thinking of AI as roving robots is missing the point, saying, “Looking further out, there’s no doubt that automation -- don’t think robots, think removing mundane and unproductive work steps from your day -- will increase. Machine learning will be able to predict what workers are trying to do and make their work easier. How? By automatically gathering the information they need to complete a task, populating forms and sharing them with the appropriate people.”


AIOps incites more creative and productive employees.
According to a report issued by Accenture, it could increase productivity by up to 40% by 2035. "The impact this has is that it automates a lot of the low-level tasks and gets them done with higher satisfaction," says Accenture's Chief Technology Officer, Paul Daugherty. "It frees up employees to do things they get more satisfaction out of, which is solving more complex problems, and dealing with the more complex issues that arise in business."


AIOps technologies help workers understand their work better so that they can be more creative in their recommendations and how they approach projects. AIOps will also help workers focus on high-value skills to help them transition to different types of work in an AI environment. Having robots and AI working for us, the saying "If you can dream it, it will come true" will become a reality for the first time in human history.


AIOps improves customer experience.
Using AIOps to connect automated business processes behind the scenes ensures that the entire customer experience is smooth and seamless. By incorporating AIOps and machine learning into predictive analytics, enterprises are now extraordinarily capable of predicting incidents and errors such as web outages and equipment failures.


By spotting them and acting to prevent them before they arise, AIOps enables businesses to avert potential disaster. From the customer’s point of view, ignorant of what skilled IT workers worked hard to prevent, his or her experience is smooth and uninterrupted.


AIOps steps into every layer of the business system, in order to unite fragmented business processes into a cohesive whole. For example, it keeps every customer service representative fully informed about all the customer’s relevant data up until this point. This increases customer satisfaction by removing the frustration of repeating information that has already been shared.


Clearly there are many applications for AIOps throughout the enterprise. The businesses that adapt and stay ahead of the curve will realize surges in productivity, creativity and overall success, as the future unfolds and machine learning, predictive intelligence and deep learning become the norm.



Loom Systems delivers an AIOps-powered log analytics solution, Sophie, to predict and prevent problems in the digital business. Loom collects logs and metrics from the entire IT stack, continually monitors them, and gives a heads-up when something is likely to deviate from the norm. When it does, Loom sends out an alert and recommended resolution so DevOps and IT managers can proactively attend to the issue before anything goes down.
Get Started with AIOps Today!


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