Moog­soft AIOps helps enter­prise IT Oper­a­tions and DevOps teams become smarter, faster, and more effec­tive. Their machine lan­guage algo­rith­mic soft­ware pro­vides a high qual­i­ty of cus­tomer expe­ri­ence, enable dig­i­tal trans­for­ma­tion (while ensur­ing sta­bil­i­ty), and oper­ates effi­cient­ly via real-time machine learning.

If this sound com­pli­cat­ed, it is!  But any­one involved in machine learn­ing today is a com­pa­ny pre­pared for the future.

As tech­nol­o­gy gets more and more advanced, human cap­i­tal (read: peo­ple with jobs) become less nec­es­sary in many areas and fields. And while this should be alarm­ing news to the fast food employ­ee among many oth­ers, the like­li­hood is that they have no clue what’s com­ing their way until they get the notice from man­age­ment: “Due to awe­some new tech­nol­o­gy we won’t be need­ing any more order tak­ers. Please turn in your name badge by tomor­row at 6pm.”

The area that you might not expect this sort of apoc­a­lyp­tic sce­nario is in the IT world. Com­put­ers will always need peo­ple to make them run cor­rect­ly, right? Not nec­es­sar­i­ly, if oth­er com­put­ers are advanced enough to take care of the prob­lems. Unknown to many (but soon to be com­mon knowl­edge) is that this shift is already occur­ring, and one of the pri­ma­ry rea­sons is a com­pa­ny called Moog­soft.

Moogsoft Makes Non-IT People Happy

Moog­soft spe­cial­izes in some­thing called Algo­rith­mic IT Oper­a­tions tech­nolo­gies, which is machine learn­ing soft­ware that essen­tial­ly replaces the need for a lot of IT Helpdesk jobs. Here’s the sit­u­a­tion as most of us know it today — we have a prob­lem with our com­put­er and our com­pa­ny has switched from an inter­nal or local IT resource to a helpdesk which is more than like­ly over­seas some­where and slight­ly less than famil­iar with our sit­u­a­tion. They work off of a set of rules that tell them what to do, and if the rule­book is lost some­how they could­n’t tell you how to switch the pow­er but­ton on. It’s maddening.

But a key func­tion that many of this lev­el of IT peo­ple play is deal­ing with oper­a­tional noise. Oper­a­tional noise is what we call the (pos­si­bly) mil­lions of alerts that a sys­tem sends every day that might or might not be an actu­al issue that needs fix­ing. These IT folks work through these tedious and volu­mi­nous alerts to deter­mine which of them real­ly need atten­tion. To sum­ma­rize Moog­soft­’s busi­ness suc­cinct­ly, they make sure these IT peo­ple are free to look for gain­ful employ­ment elsewhere.

Machine Learning is Incredible

There are many new­er tech­nolo­gies that we could call incred­i­ble, but machine learn­ing so far is sit­ting pret­ty with the title belt. There have been sig­nif­i­cant cas­es where machine learn­ing has already proven to be supe­ri­or to oth­er tech­nolo­gies try­ing to accom­plish the same arti­fi­cial intel­li­gence-type func­tions, as well as doc­u­ment­ed suc­cess sto­ries. Moog­soft cus­tomers are some of these suc­cess stories.

How suc­cess­ful? A large SaaS com­pa­ny cut their time from DevOps to release from 14 days to 1 day. a For­tune 100 man­u­fac­tur­er cut their raw events 115 mil­lion per day to 250 action­able sit­u­a­tions. A large bank cut their oper­a­tional noise by 50% and saw a 4X ROI in their first year using the plat­form. Those are real results, and they’re more than impressive.

So the com­pa­ny makes a great prod­uct that could be world-chang­ing in terms of busi­ness and tech­nol­o­gy, but how’s their work envi­ron­ment? Accord­ing to 69 reviews on Glass­door, pret­ty awe­some. They have a 4.9 out of 5 stars in reviews by employ­ees, with prais­es rang­ing from perks to the hum­ble nature of the founders to the excel­lent work-life bal­ance. So why does Media Jobs think you might want to work there? Turn that ques­tion around — why would­n’t you want to work there?