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Following the crowd can be an expensive mistake—just ask the developers trying to make Kubernetes or AI fit.
Growing cloud complexity, undisciplined planning, and a shrinking talent pool lead to more failures than successes. Here’s how to avoid becoming another cautionary tale.
Microsoft uses Ignite 2024 to set out its vision for agentic AI in business.
Finops uses cloud units to connect cloud costs with business value. But applying a simple and generic metric to complex and unique business uses leaves me with a lot of questions.
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.