by Angela Guess
A new press release out of the company reports, “Loom Systems, today announced an AI-powered operational analytics platform used for real-time detection and resolution for any type of application. Targeted at DevOps and IT professionals, Loom instantly analyzes logs and semi-structured machine data for immediate visibility into a company’s digital environment. Accelerating the detection and resolution of IT problems in real-time, Loom helps reduce the cost and complexity of working with operational analytics. Via on-premises or SaaS installation, Loom Systems easily generates insights from raw data and with zero configuration or maintenance of the IT stack, including homegrown applications.”
The release continues, “Digital transformation is augmenting every customer experience and has already become the dominant medium for growth in any business. According to a Gartner survey, rapid growth is expected to continue with 87 percent of businesses explicitly considering digital transformation in their capital allocation planning for the next two years. IT operations and application monitoring tools in the market today rely on manual work and deliver substandard customer experience for the digital era, creating a new market opportunity for advanced artificial intelligence (AI) tools to fill this gap with an automated, proactive approach.”
John L Myers, managing research director of Enterprise Management Associates, noted, “Many organizations implement log analysis solutions using manual techniques, however very few organizations derive the data’s full value from those efforts… Today’s transformation towards digital economy based on mobile and online apps requires an automated process that can extract insights out of the logs from complex IT environments. Loom Systems empowers organizations to make this leap by automatically loading, preparing and presenting application log data. This allows for real-time analytics as well as providing an intelligence layer that ties log data to corrective action.”
Read more at Business Wire.
Photo credit: Loom Systems