Amazon Web Services (AWS) announced the general availability of Amazon Q, a generative artificial intelligence (AI)-powered assistant for accelerating software development and leveraging companies’ internal data.
Pegasystems introduced Pega GenAI Blueprint™ – a collaborative application that combines the power of generative AI with Pega’s industry best practices to turbocharge the app design process.
Available for early adopters, Pega GenAI Blueprint empowers business leaders to transform app ideas into interactive "application blueprints" that are easily understood and collaborated on by all stakeholders. It quickly and easily creates the blueprints by leveraging generative AI and Pega’s deep industry expertise gained from working with leading global organizations for decades. The resulting blueprints can be deployed to Pega’s industry-leading automation platform to create a running enterprise-grade application. By intuitively guiding them through the process, Pega GenAI Blueprint helps broaden access to app design, enabling clients and partners to more quickly learn how to design optimized applications and bring them online.
Pega GenAI Blueprint enables teams to accelerate the journey from idea to implementation. Users briefly describe the app’s purpose, and the intuitive interface guides them by laying out the workflow elements and captures all feedback while facilitating collaboration. The Pega GenAI™ engine leverages Pega’s decades of industry knowledge to design optimized application blueprints, which incorporates best practice workflow processes, data models, and integrations. Once the design is finalized, the blueprint seamlessly feeds into the Pega Platform™, transforming it into an enterprise-grade, cloud-architected workflow application that is optimized for their business.
Here's a deeper look at the unique benefits of Pega GenAI Blueprint to radically change the way organizations create new workflow apps:
- Agile, optimal workflow design: Unlike other generative AI app development tools that just create more code, Pega GenAI Blueprint focuses on delivering optimized workflow designs and decisions. By simply describing the application’s purpose, Pega GenAI powers Pega GenAI Blueprint to suggest optimal designs, eliminating weeks of circular stakeholder conversations. The blueprints encompass all workflow stages and steps; data models and objects; and user experiences for all workflow personas.
- Deep industry expertise: Powered by Azure OpenAI, Pega GenAI synthesizes Pega’s vast repository of workflow best practices, garnered from 40 years of experience working with global leaders in financial services, healthcare, government, telecommunications, and more. These best practices, supplemented by knowledge from Azure OpenAI, produce a nearly-there design starting point. Future Pega GenAI Blueprint releases will allow enterprises to publish their own best practices into their private environments, promoting consistency and adherence, even when working across distributed teams.
- Smoother team collaboration: Pega GenAI Blueprint fosters deep collaboration between business leaders and IT, aligning teams toward a common business goal. Application architects can invite collaborators into any blueprint to easily modify, add, delete, or save different workflow stages. They can also process steps, data models, or user personas and share them as PDF documents. This effective alignment during the initial design phase reduces errors and delays in later build and deployment phases.
- Rapid app deployment: Once finalized, it’s a simple jump to app deployment by importing the blueprint into Pega Platform. The application structure is automatically generated, and Pega GenAI guides users through the final steps, such as connecting to existing data sources and finalizing the interface layout. If further changes are needed, the blueprint can be easily modified in Pega GenAI Blueprint and then deployed in Pega Platform for continuous improvement.
An initial version of Pega GenAI Blueprint is available today for early adopters, allowing users to create workflows and share with colleagues. By the end of Q2, the tool will be generally available and enhanced with additional capabilities such as inviting collaborators, importing blueprints into Pega Platform, and deploying applications.
“Deploying a workflow app involves much more than just generating code – it starts with an optimized design grounded in best practices and configured for the unique needs of an enterprise. Done poorly, these initial steps could lead to missed deadlines, cost overruns, and mismatched expectations later on,” said Kerim Akgonul, chief product officer, Pega. “By eliminating the common obstacles that have long plagued app design, Pega GenAI Blueprint expedites the journey to an optimal design and ensures everyone is on the same page. Now the once daunting app design process becomes less intimidating, which can fuel even greater ambition to dream up additional groundbreaking apps that will propel organizations to new heights.”
Industry News
Red Hat announced the general availability of Red Hat Enterprise Linux 9.4, the latest version of the enterprise Linux platform.
ActiveState unveiled Get Current, Stay Current (GCSC) – a continuous code refactoring service that deals with breaking changes so enterprises can stay current with the pace of open source.
Lineaje released Open-Source Manager (OSM), a solution to bring transparency to open-source software components in applications and proactively manage and mitigate associated risks.
Synopsys announced the availability of Polaris Assist, an AI-powered application security assistant on the Synopsys Polaris Software Integrity Platform®.
Backslash Security announced the findings of its GPT-4 developer simulation exercise, designed and conducted by the Backslash Research Team, to identify security issues associated with LLM-generated code. The Backslash platform offers several core capabilities that address growing security concerns around AI-generated code, including open source code reachability analysis and phantom package visibility capabilities.
Azul announced that Azul Intelligence Cloud, Azul’s cloud analytics solution -- which provides actionable intelligence from production Java runtime data to dramatically boost developer productivity -- now supports Oracle JDK and any OpenJDK-based JVM (Java Virtual Machine) from any vendor or distribution.
F5 announced new security offerings: F5 Distributed Cloud Services Web Application Scanning, BIG-IP Next Web Application Firewall (WAF), and NGINX App Protect for open source deployments.
Code Intelligence announced a new feature to CI Sense, a scalable fuzzing platform for continuous testing.
WSO2 is adding new capabilities for WSO2 API Manager, WSO2 API Platform for Kubernetes (WSO2 APK), and WSO2 Micro Integrator.
OpenText™ announced a solution to long-standing open source intake challenges, OpenText Debricked Open Source Select.
ThreatX has extended its Runtime API and Application Protection (RAAP) offering to provide always-active API security from development to runtime, spanning vulnerability detection at Dev phase to protection at SecOps phase of the software lifecycle.
Canonical announced the release of Ubuntu 24.04 LTS, codenamed “Noble Numbat.”
JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
Copado announced the general availability of Test Copilot, the AI-powered test creation assistant.