Tag: use cases
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AWS News Blog: Amazon DocumentDB Serverless is now available
Source URL: https://aws.amazon.com/blogs/aws/amazon-documentdb-serverless-is-now-available/ Source: AWS News Blog Title: Amazon DocumentDB Serverless is now available Feedly Summary: Amazon DocumentDB Serverless automatically scales capacity up or down in fine-grained increments based on your application’s demand, offering up to 90% cost savings compared to provisioning for peak capacity. AI Summary and Description: Yes Summary: The text introduces Amazon…
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Cloud Blog: Ride-share-like planning with Agentic AI: Pluto7 + Google Agentspace transform supply Chains
Source URL: https://cloud.google.com/blog/topics/partners/pluto7-pi-agent-ai-meets-agentspace/ Source: Cloud Blog Title: Ride-share-like planning with Agentic AI: Pluto7 + Google Agentspace transform supply Chains Feedly Summary: Pluto7, an early Google partner, has integrated Agentspace into its Planning in a Box platform Pi Agent to address inventory and demand planning challenges. Agentspace provides an Agent Development Kit (ADK) for building specialized…
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The Register: US agencies log nearly 9x more GenAI use cases in 2024 – but deployments stall
Source URL: https://www.theregister.com/2025/07/29/us_government_identified_ai_use/ Source: The Register Title: US agencies log nearly 9x more GenAI use cases in 2024 – but deployments stall Feedly Summary: Strict regulations, lack of funding, and hallucinations remain hurdles to implementation US federal government agencies have identified a surge in AI use cases over the past year. But rolling them out?…
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Cloud Blog: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs
Source URL: https://cloud.google.com/blog/products/compute/dynamic-workload-scheduler-calendar-mode-reserves-gpus-and-tpus/ Source: Cloud Blog Title: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs Feedly Summary: Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid…
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Docker: Docker MCP Catalog: Finding the Right AI Tools for Your Project
Source URL: https://www.docker.com/blog/finding-the-right-ai-developer-tools-mcp-catalog/ Source: Docker Title: Docker MCP Catalog: Finding the Right AI Tools for Your Project Feedly Summary: As large language models (LLMs) evolve from static text generators to dynamic agents capable of executing actions, there’s a growing need for a standardized way to let them interact with external tooling securely. That’s where Model…