Digital.ai introduces new version of its AI-powered DevOps platform that empowers large organizations to innovate through global economic change

• Keep software investments aligned with business goals with collaboration and intelligence

• Manage total cost by leveraging existing assets and software delivery practices

• Create a data-driven release strategy with long- and short-term forecasts, armed with real-time and historical data and AI-powered predictive insights

BOSTON, October 19, 2022–(BUSINESS WIRE)–Digital.ai today unveiled the Banff release of its AI-powered DevOps platform, with augmented intelligence, automation and collaboration, to further help businesses accelerate digital transformation. The new version enables public sector and enterprise organizations to accelerate delivery while managing risk, all with a focus on generating maximum value from software investments.

This press release contains multimedia. See the full release here: https://www.businesswire.com/news/home/20221019005324/en/

Digital.ai Intelligence Change Risk Prediction Overview Dashboards 10.19.22 (Graphic: Business Wire)

At the heart of the AI-powered DevOps platform are its intelligence capabilities that aggregate customer data spanning the entire software development and delivery lifecycle, automatically creating an industry-leading DevOps data lake. This data lake creates a single source of truth for an organization’s software investments throughout the lifecycle from planning to production. Customers get real-time insight, historical trend analysis and predictability in extended analytical dashboards. This contextual data allows organizations to observe top-level trends across the enterprise and quickly drill down to team and individual levels to drive successful business outcomes. This release includes further expansion of Digital.ai’s machine learning and artificial intelligence solutions, allowing customers to move beyond historical trends to predictive, actionable insights.

“We are investing significantly in AI and machine learning across all IT domains, and a prime example of this commitment is our partnership with Digital.ai,” said the CIO of Enterprise Infrastructure and Operations at one of the nation’s largest financial services firms. “Using Digital.ai’s AI-powered Change Risk Prediction module, we’ve been able to reduce the business impact caused by change activity, increase the success of change releases, and accelerate the delivery of low-risk changes – ultimately freeing up our developers to be more productive . We have been encouraged by these results, and we plan to deploy more Digital.ai features, such as Incident Topic Clustering and Change Impact Detection.”

The story continues

Both private and public organizations are under increased pressure to manage total costs and optimize existing software investments in an uncertain economic climate. At the same time, the need to develop and deliver secure, high-quality, innovative software releases at scale remains a business imperative. This situation is fueling the global demand for software delivery platforms such as Digital.ai’s AI-powered DevOps platform. Digital.ai solutions are currently used by more than a thousand organizations worldwide, including more than 50% of the Fortune 500, and the company’s technology protects over 5 billion app endpoints.

“Software strategy now underpins every business strategy and business leaders need to navigate global economic uncertainty with agility, automation and security,” said Stephen Elop, CEO of Digital.ai. “We are truly excited to deliver to our customers our latest release that removes the mystery and complexity of mapping software investments to align with business goals and priorities. Digital.ai believes that the future of enterprise DevOps is being able to turn data into actionable, predictive insights .”

Digital.ai solutions can be easily integrated into existing processes, applications and infrastructure to optimize existing investments while driving innovation and providing greater visibility and insight across the entire software architecture and ecosystem.

Harness the deflationary power of software by delivering better releases

New improvements include:

Improved insight into software delivery

• Model monitoring dashboard: The updated model monitoring dashboard has important improvements for change risk prediction, making it easier to track model performance for retraining and validation in production.

• Deployment information: Users can now capture all manual deployment tasks defined in a release and see deployment metrics and impact on applications and environment.

• Continuous test analysis: Organizations can now provide details on test execution and application testing to gain an understanding of test volume and results by different device types.

A more comprehensive DevOps ecosystem

• A single identity across the platform: Digital.ai has improved identity protection and created a unified experience across all products, documents, support and community, allowing users to seamlessly move between apps across Digital.ai with Digital.ai Identity. Beyond creating a new low-friction experience, Digital.ai Identity brings key features that modern enterprises need for software development and delivery solutions, including improved shared service configurations, integration with common enterprise identity services, and audit information.

• Hoylu whiteboard integration: Users can unlock the power of whiteboard-based collaboration with Hoylu’s visual and iterative approach for better agile planning. By combining whiteboard techniques with scaled Agile practices, this integration gives distributed teams new ways to collaborate and understand risks and dependencies.

• Digital.ai Community: The Digital.ai Community provides an additional opportunity for support so that users and their teams can get more value out of Digital.ai products and processes. Designed for social, peer-to-peer engagement, the Digital.ai Community makes it easy for users to find answers, share product wisdom, and gain inspiration from other members of the Digital.ai Community.

• Improved and extended Cloud-native deployments: A new integration of Argo Rollouts helps customers implement strategies such as blue/green, canary, canary analytics, experimentation, and progressive delivery capabilities to Kubernetes®. Argo Rollouts help developers manage the entire application release and deployment process – removing bottlenecks and risk of change errors and delivering a better user experience.

Safer and higher quality applications

• Recorder for testing: New enhancements to the test editor recorder enable non-experts to easily record software experiences and generate tests. Automation and low-code approaches to continuous testing help address the global shortage of QA professionals.

• Extended accessibility testing: Now, developers of Android™ environments can similarly take advantage of the robust level of accessibility monitoring offered for iOS, helping them increase compliance with global accessibility standards. The new Android™ Inspector feature identifies screen elements in Android™ applications and provides users with information about various accessibility features such as visual filters and Voiceover.

• Application security: New innovation reduces the attack surface, enabling faster reporting and more data sets – allowing organizations to secure a wider range of applications, including mobile, web and desktop apps built for multiple OS versions.

Availability
The Banff version of Digital.ai’s AI-powered DevOps platform is generally available today. To learn more about all the latest features or to watch solution-focused videos, visit: To read the blog post with more details, visit: /catalyst-blog/banff-release.

About Digital.ai
Digital.ai is an industry-leading technology company dedicated to helping global 5000 companies achieve their digital transformation goals. The company’s AI-powered DevOps platform unifies, secures and generates predictive insights throughout the software lifecycle. Digital.ai enables organizations to scale software development teams, and continuously deliver software with higher quality and security, while uncovering new market opportunities and increasing business value through smarter software investments. Further information about Digital.ai can be found at and at Twitter, LinkedIn and Facebook.

See the source version at businesswire.com: https://www.businesswire.com/news/home/20221019005324/en/

Contacts

Media contacts
Joyce Tompsett
Director, Analyst Relations and Communications
[email protected]

Jessica Jaffe
Sift Communications for Digital.ai
[email protected]