Terma Software Reflects on the Major Milestones of 2018
Press Releases
Jan 31, 2019
BOULDER, Colo., Jan. 31, 2019 /PRNewswire-PRWeb/ — Terma Software, the developer of AI/ML driven cross-vendor, cross-platform, predictive analytics solutions for Workload Automation, experienced significant growth in 2018. Such growth validates Terma’s recognition from the Silicon Review as one of the 50 Fastest Growing Companies of the Year 2018. As Terma moves into 2019, it is looking back on the major milestones of 2018 that contributed to its success. “Our strong market leadership and innovative AIOps platform for Workload is being adopted by some of the largest companies in the world resulting in record sales,” states Shane Hade, CEO of Terma.
Terma Software kicked off last year by responding directly to customer needs and releasing a Universal API that allows for the open integration of any job scheduler. “Many of our current customers run cross-vendor job scheduling environments and have asked us to extend our capabilities to these other environments,” notes Shane Hade, CEO of Terma. TermaANALYTICS can now integrate data from multiple sources more quickly and cost-effectively than ever before.
The Universal API foreshadowed Terma’s general availability release of TermaANALYTICS for IBM Workload Scheduler (IWS), which was well-received by IWS users at the ASAP University conference in May 2018. In October, Terma was named one of the Top 25 IBM Solutions Providers of 2018 by CIO Applications, an enterprise technology magazine. With its IBM-focused product release, Terma now supports advanced capabilities for CA, Tidal, and IWS Workload Automation solutions out-of-the-box.
Throughout the year, Terma continued to develop and improve its products in response to customer requests. For example, the TermaUNIFY 5.7 release introduced Adaptive Predictions to address the challenges customers face predicting outcomes when there are special conditions, processing cycles, and behaviors. This requested feature combined Artificial Intelligence and Machine Learning (AI/ML), “an exciting area of research that is delivering immediate and significant results for our customers,” says Steve Szettella, VP of Engineering at Terma.
Terma Software was also named as the most-used workload analytics platform in a report titled ‘The Shifting Role of Workload Automation‘ by Enterprise Management Associates, a major global IT and Data Management research firm. A survey of over 400 IT and business professionals who interact with Workload Automation revealed over 40% of users prefer Terma compared to competitive alternatives. As CEO Shane Hade sees it, “it’s proof that the hard work and effort by our team of industry visionaries and thought leaders is providing significant value through analytics for workload automation to our customers.”
About Terma Software
Terma Software has developed the industry’s most comprehensive AIOps platform for workload intelligence and the ability to leverage it to provide measurable predictive analytics. Terma’s products TermaVISION, TermaUNIFY, and TermaINSIGHT enable optimization of workload processing to help realize more value from Workload Automation tools by providing SLA management, forecasting, predictive analytics, prescriptive actions and reporting through analytics, Artificial Intelligence (AI), and Machine Learning (ML). The products ensure that companies can lower their costs and improve the reliability and performance of mission-critical workload processes.
Terma supports any job scheduler, including IBM Workload Scheduler (IWS), CA AutoSys, CA7, and Tidal Workload Automation. Terma is the only supplier of management solutions in cross-vendor and cross-platform scheduling environments providing a single perspective (aka single pane of glass) into the environment. The products are available on-premise or SaaS. For more information or to arrange an overview of the solution, contact Jim Anderson, Vice President at Terma Software. Jim can be reached by email at Jim@TermaLabs.com, or http://www.termasoftware.com.
SOURCE Terma Software Labs, Inc.