Data Matters More Than Ever in AIOps
New study reveals key hurdles on the road to AIOps
May 02, 2019

Bhanu Singh
OpsRamp

Share this

Like any new, potentially disruptive technology, artificial intelligence for IT operations, or AIOps has quickly become a trend, and slowly become a reality. It's only been a few years since Gartner coined the term, and yet, 30% of IT teams in large enterprises will roll out AIOps initiatives by 2023. These IT practitioners are still in experimentation mode with artificial intelligence in many cases, and still have concerns about how credible the technology can be. They have concerns over the results of these implementations, and worry about maintaining service availability and uptime during migration.

Because AIOps is still in its infancy, there hasn't been much reporting on what these concerns specifically are. A recent study from OpsRamp targeted these IT managers who have implemented AIOps, and among other data, reports on the primary concerns of this new approach to operations management.

The Devil is in the Data

The report cites data accuracy as the chief concern for IT pros when it comes to AIOps. Two-thirds (67%) of those surveyed revealed it as their top priority. This could be for a variety of reasons, including:

Data Sources: In a world of distributed, hybrid, multi-cloud infrastructure, it's more difficult than ever to capture data on every level of an organization. Different cloud providers report in different ways. And point tools provide analytics across a host of different metrics. It's next to impossible to compare data sources together for a true contextual view of the organization.

Data Quality: Even when that data is captured, these IT teams aren't necessarily sure that it's accurately reflecting the truth about a system. Modern data can be fragmented, hidden, unparsed or too distributed to make sense.

Data Volume: Today's enterprise infrastructure produces an overwhelming amount of metrics on usage, capacity, performance, availability, security, and more. It's easy to get lost in the noise.

Data Consistency: It's impossible to say, under the crushing weight of data today, that IT teams are seeing consistent reporting and results across the organization. But until data is consistent, it can't be actionable.

Data Culture: This is perhaps the biggest change the world of IT operations will resist as it continues to adopt AIOps. Most organizations today are still process-driven, focusing maniacally on improving, tweaking, and changing the process to get a different result. Tomorrow's AIOps-driven organization will become data-driven, putting that same focus on refining data for better outcomes.

Improving Accuracy by Changing Culture

Becoming a data-driven organization means shifting priorities from process milestones to data-based ones, where data manipulation and governance are critical. It's building an organization where data modeling is as important as product development, and where data drives business outcomes. It's where there's as much focused placed on algorithms as applications. Once this culture is installed, where the focus becomes accuracy, consistency, and context, can an operations team truly trust the data. And this is where AIOps can truly come to life.

Data accuracy isn't the only concern when it comes to AIOps adoption, but it's definitely on the minds of IT managers and infrastructure professionals. Where they once just struggled to find skilled practitioners and leading-edge technology to solve problems, they now must also juggle a focus on data. It's clear that enterprises will need more time to build trust in the relevance and reliability of AIOps recommendations. This also represents an opportunity for AIOps vendors to provide solutions that drive improved accuracy, cleaner data, and greater control. AIOps promises to transform how IT operations is managed and maintained. It's likely to do the same for data.

Bhanu Singh is SVP of Product Management and Engineering at OpsRamp
Share this

The Latest

May 28, 2020

On Wednesday, May 6th, iOS users all over the world experienced an app crash when they tried to open popular apps such as TikTok, GroupMe, Spotify, and Pinterest. How did simultaneous crashes occur across so many independent apps? What's the common thread that would cause widespread app crashes? Turns out, it was a change in behavior in the Facebook API ...

May 27, 2020

Keeping networks operational is critical for businesses to run smoothly. The Ponemon Institute estimates that the average cost of an unplanned network outage is $8,850 per minute, a staggering number. In addition to cost, a network failure has a negative effect on application efficiency and user experience ...

May 26, 2020

Nearly 3,700 people told GitLab about their DevOps journeys. Respondents shared that their roles are changing dramatically, no matter where they sit in the organization. The lines surrounding the traditional definitions of dev, sec, ops and test have blurred, and as we enter the second half of 2020, it is perhaps more important than ever for companies to understand how these roles are evolving ...

May 21, 2020

As cloud computing continues to grow, tech pros say they are increasingly prioritizing areas like hybrid infrastructure management, application performance management (APM), and security management to optimize delivery for the organizations they serve, according to SolarWinds IT Trends Report 2020: The Universal Language of IT ...

May 20, 2020

Businesses see digital experience as a growing priority and a key to their success, with execution requiring a more integrated approach across development, IT and business users, according to Digital Experiences: Where the Industry Stands ...

May 19, 2020

Fully 90% of those who use observability tooling say those tools are important to their team's software development success, including 39% who say observability tools are very important ...

May 18, 2020

As our production application systems continuously increase in complexity, the challenges of understanding, debugging, and improving them keep growing by orders of magnitude. The practice of Observability addresses both the social and the technological challenges of wrangling complexity and working toward achieving production excellence. New research shows how observable systems and practices are changing the APM landscape ...

May 14, 2020
Digital technologies have enveloped our lives like never before. Be it on the personal or professional front, we have become dependent on the accurate functioning of digital devices and the software running them. The performance of the software is critical in running the components and levers of the new digital ecosystem. And to ensure our digital ecosystem delivers the required outcomes, a robust performance testing strategy should be instituted ...
May 13, 2020

The enforced change to working from home (WFH) has had a massive impact on businesses, not just in the way they manage their employees and IT systems. As the COVID-19 pandemic progresses, enterprise IT teams are looking to answer key questions such as: Which applications have become more critical for working from home? ...

May 12, 2020

In ancient times — February 2020 — EMA research found that more than 50% of IT leaders surveyed were considering new ITSM platforms in the near future. The future arrived with a bang as IT organizations turbo-pivoted to deliver and support unprecedented levels and types of services to a global workplace suddenly working from home ...