DEVOPSdigest

Digital.ai announced the Digital.ai Platform, an AI-powered end-to-end solution that enables enterprises to orchestrate the delivery of software-driven business outcomes.

Purpose built for the enterprise, The Digital.ai Platform is an end-to-end value stream platform that offers AI-powered analytics; enhanced insights into value streams; release management, risk management, and software delivery predictability; integration and collaboration with DevOps tools, including Azure DevOps, Chef, Jenkins, Atlassian Jira, ServiceNow, Selenium; and pre-built, smart integrations for hundreds of solutions that connect the entire lifecycle and provide visibility and automation. What’s more, the Digital.ai Platform gathers data from across the software lifecycle to form a unified system of record containing all of the data required to gain key business insights and drive intelligent orchestration. Shared platform services, including common user and license management, make Digital.ai solutions easy to deploy and manage.

With these capabilities, the Digital.ai Platform enables enterprises to continuously and intelligently improve the entire development value stream, from ideation to customer delivery. The Digital.ai Platform provides end-to-end visibility and forward-looking insights that allow enterprises to align the work of software delivery teams with strategic business needs, and truly leverage technology and data to make better business decisions.

“In today's fast-paced digital economy, Agile and DevOps are important foundational practices, but they are not enough. To achieve the full benefits of digital transformation and deliver better outcomes faster than the competition, organizations must adopt a value stream center of excellence approach,” said Ashok Reddy, CEO at Digital.ai. “With Value Stream Management (VSM) and the Digital.ai Platform, organizations transform traditional project teams, typically structured around and focused on outputs and features, to cross-functional value stream teams, structured around customer-centric value. These teams are able to continuously adapt to market changes and customer needs, and predictably deliver business outcomes.”

The open architecture and comprehensive functionality of the Digital.ai Platform create value from day one.

The Digital.ai Platform capabilities now include:

- End-to-end DevOps lifecycle orchestration – Enables organizations to standardize and automate their entire release process. From legacy mainframes to the latest in Kubernetes, on premises and to the cloud, Digital.ai provides the flexibility to address complex, enterprise-sized challenges. The enhanced Digital.ai Platform ecosystem offers integrations across the software lifecycle, with hundreds of pre-built integrations that enable customers to leverage existing toolchain investments and incorporate them as part of the end-to-end enterprise-wide release orchestration.

- Visibility into the DevOps value stream – Intelligence-infused Digital.ai Analytics Lenses deliver deep insights into data collected from Digital.ai and third-party solutions. Domain-specific lenses reduce time to value and improve enterprise decision making with pre-built metrics and dashboards, including DORA metrics, flow metrics, and more. By connecting lenses across domains, organizations unlock a 360° Panoramic View that collects and transforms data into a single, integrated model spanning Development, Operations, and Business, with data and insights tailored for executives, product owners, and more.

- AI/ML-powered predictive & prescriptive insights – Going well beyond traditional business intelligence, the Digital.ai Platform offers AI solutions that shift organizations from being reactive to proactive. Digital.ai has updated and expanded its Digital.ai Change Risk Prediction – now with bi-directional integration with Digital.ai Release – and Digital.ai Service Management Process Optimization solutions. The company also introduced two new solutions: Digital.ai Flow Acceleration and Digital.ai Quality Improvement.