Digital.ai, the creator of the industry’s first intelligent Value Stream Platform, today announced the company has been named a Leader in the 2020 Radar™ Report on Artificial Intelligence for IT Operations (AIOps). Published by Enterprise Management Associates (EMA), a leading IT and data management research and consulting firm, the report highlights Digital.ai’s ability to leverage analytics to improve the software development lifecycle and drive positive business outcomes.
According to the report, Digital.ai differentiates itself with “capabilities that empower everyone, from the CIO to analysts, to get the right information at their fingertips, with interactive visualizations that support all types of analytics, dashboards, and queries.” The report goes on to say that “while most AIOps platforms are centered in telling you what’s wrong, or what might be wrong in the future, Digital.ai can tell its customers how they can improve the way they work in a well-metricized, proactive way.”
The report examines 17 vendors across three use cases. Digital.ai received special recognition for its AIOps-Driven IT governance, which the report described as “unequaled” and “unsurpassed.” Additionally, the company was named the overall Value Leader in Change Impact and Capacity Optimization and in Business Impact and IT-to-Business Alignment, and a Strong Value in Incident, Performance, and Availability Management.
“We are pleased to be recognized by EMA as a leader in AIOps and for our commitment to helping enterprises leverage analytics to proactively improve IT and business outcomes,” said Gaurav Rewari, CTO & GM of AI and VSM at Digital.ai. “Timely information is critical to optimizing processes and driving digital transformation, and it is the foundation of our Value Stream Platform.”
Powered by an AI/ML-driven analytics engine, the Digital.ai intelligent Value Stream Platform provides a unified, end-to-end value delivery solution, including enterprise agile planning, application security, continuous delivery and release orchestration, and continuous testing that helps organizations align software development and business value streams and realize the benefits of their digital transformation initiatives.
“Digital.ai offers significant insights to improve IT efficiencies and outcomes across all three of the use cases we evaluated,” said Dennis Drogseth, Vice President of Research at EMA. “Digital.ai’s customers have seen benefits ranging from improved ROI on applications and services, to significantly improved OpEx efficiencies, prioritization of remediation efforts based on highest impact, and governance on how to minimize risk in making changes, among others. Digital.ai’s complementary role in AIOps helps to underscore the rich potential and diversity of the AIOps landscape while suggesting future areas for innovation and advancement.”
Evaluated across 35 applicable criteria, Digital.ai was rated “outstanding” in 57 percent of the categories, and “strong” or “solid” in 40 percent of the remaining applicable categories. Areas of excellence include: Estimated Time for ROI, Application Support, Business Impact, Reporting and Visualization, Scalability, Breadth of Domain Support, Big Data Capabilities, Change Impact/Optimization, DevOps Support, IT and Business (non-IT) Roles, Versatility in Deployment Options, Automation for Deployment, Breadth of Professional Services, Levels of Customer Support, FTEs Required for Admin, and Breadth of Support for Data Collection.
Additional findings from the report include:
IT-to-business alignment has risen consistently in importance and has accelerated due to the COVID-19 pandemic. When asked about the top five business sources for import, vendors reported: Enterprise Operations Data (75 percent), IT Warehouse for Advanced Trending (50 percent), Business Application Owner Data (44 percent), Executive Dashboard (31 percent), and Security/Audit Compliance Systems (31 percent).
Support for automation is critical for digital transformation and other business and IT initiatives. In a 3-way tie for first place at 94 percent, the top automation priorities for AIOps vendors were: Alert-driven Notification, Automation in Support of Incident Team Communication, and Workflow Within and Across IT.
Integration with third-party toolsets is critical for data collection. On average, vendors supported between 51-75 different toolsets, with 42 percent supporting fewer than 30 toolsets and 48 percent supporting more 76 or more.
Get a complimentary copy of the 2020 Radar™ Report on Artificial Intelligence for IT Operations courtesy of Digital.ai.
Join us on October 21, 2020 for a webinar with guest Dennis Drogseth, Vice President of Research at EMA and author of the 2020 Radar™ Report on Artificial Intelligence for IT Operations, exploring the use of AIOps to improve stability and accelerate innovation Register now.
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Digital.ai is an industry-leading technology company dedicated to helping Global 5000 enterprises achieve digital transformation goals. Using value stream management as its cornerstone, Digital.ai combines innovative technologies in agile planning, application protection, software testing and delivery, and artificial intelligence into a unified Value Stream Platform. Digital.ai makes it possible to connect software development and delivery efforts to strategic business outcomes and create secure digital experiences customers trust. Learn more at www.digital.ai and join the conversation on Twitter @digitalaisw.