探花视频, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.
Events and Resources
Events
Accelerating Developer Productivity With Red Hat Developer Hub
Hosted By: Red Hat & 探花视频
Red Hat and Deloitte hosted a webinar for attendees to discover how federal law enforcement agencies can reduce cognitive load, minimize friction and improve daily operations for development teams. Attendees learned how to allocate more time to efficient feature delivery and collaborative work while maintaining adherence to security and compliance standards.
The Red Hat Developer Hub is an enterprise-grade Internal Developer Portal (IDP) featuring customizable “Golden Path” templates. It provides development teams with quick, self-service access to tools, CI/CD pipelines, repositories, APIs, documentation, and more for a seamless development experience.
In this webinar, attendees learned how the Developer Hub:
- Reduces developer challenges such as tool overload, excessive bookmarks, and lack of knowledge about accessing environments, repositories, APIs, and documentation.
- Decreases onboarding and integration lag times, enabling new developers to become productive quickly
- Explores key features and tools, including a comprehensive selection of plug-ins for seamless access to CI/CD pipelines, environments, container orchestration, and advanced security features.
- Handles best practices and use cases, showcasing tailored implementations to meet the needs of various teams and scenarios.
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Resources
The Executive GenAI: Strategy Guide
Government leaders are tasked with introducing AI to serve a wide range of mission critical use cases. However, the risks associated with introducing nascent technologies like “Generative AI” are high. This guide was developed to accelerate learning, minimize risk, and accelerate value derived from GenAI.
You’ll learn how to evaluate GenAI systems (e.g., build vs. buy), what GenAI approaches/architectures exist (RAG vs. Fine-Tuning and when to use each), functional use cases, and most importantly, how to introduce Generative AI into the enterprise wisely, economically, and deliver results quickly.
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