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Time and again, enterprises show that they are willing to put up with imperfect technology as long as they can get work done faster.
AWS Labs’ Multi-Agent Orchestrator open source project rethinks distributed computing to make it easier to build sophisticated, efficient, and cost-effective AI systems.
RHEL AI is designed to streamline the development and deployment of generative AI models, while JBoss EAP provides a pathway for Java application modernization, Red Hat said.
Also included are custom dynamic sessions, enabling fast access to built-in Python and JavaScript code interpreter sandboxes without containers.
Microsoft’s launch of Azure AI Foundry at Ignite 2024 signals a welcome shift from chatbots to agents and to using AI for business process automation.
The toolkit for building generative AI applications has been packaged with new updates to form the Azure AI Foundry service.
Cloud observability practices are complex—just like the cloud deployments they seek to understand. The insights observability offers make it a challenge worth tackling.
Akka enables development of applications that are primarily event-driven, deployable on Akka’s serverless platform or on AWS, Azure, or GCP cloud instances.
Fermyon’s open source framework for building server-side WebAssembly apps allows developers to compose apps from components created with different languages.
Cloud providers waste a lot of their customers’ cloud dollars, but enterprises can take action.
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