Enterprise data comprising business, operations and assets information, resides in different forms and in different places. While the data is distributed they carry important relationship insights which when leveraged can accelerate and improve decision making to drive the outcomes. This is one of the key challenges that analytics solutions, like AIOps, need to address.

We realize that many companies are facing tighter technology budgets right now, yet at the same time IT needs are unrelenting. From supporting remote workforce continuity and productivity to partnering with business leaders on redesigning products and services during the Covid-19 pandemic, IT organizations have some pretty heavy mandates right now.

As Covid-19 restrictions and predictions march on unabatedly, people are starting to think about what may be long-lasting changes to industries. The tech industry is a mixed bag: it all depends on your perspective. Layoffs are becoming commonplace, especially in BtoC tech startups: Lyft and AirBnB recently announced massive cuts. The giants-- which include the usual suspects Amazon, Microsoft, Facebook, Google, Apple, Netflix--are faring remarkably well, as discussed in a recent New York Times op-ed.

Taking economics into account Most enterprises consider economics when deciding which AIOps platform to purchase. Often, their conception of economics is narrow, reduced to the resolution of three issues: 1) the cost of the technology; 2) its ability to replace human labor; and 3) its ability to displace deployed products and, hence, defray future maintenance and subscription charges. In other words, AIOps economics becomes almost entirely a matter of cost.

ServiceNow® is facing one of the biggest opportunities to date: developing a self-healing IT environment that makes proactive IT support a reality. Although the concept of self-healing has been around for at least a decade, the ability to achieve it has fallen short. A lack of system intelligence stopped us from predicting and preventing many issues without human intervention somewhere in the process. AI technology is changing that paradigm.

So much of the digital transformation conversation is naturally focused on technology, but technology alone isn’t transforming any business. The rest of the story depends on the people and evolving the culture to drive adoption, champion benefits, and advocate for wider acceptance. Driving change organizationally to implement wide-scale IT automation and AIOps starts with developing the right message.