Monitoring Google ADK agentic applications with Datadog LLM Observability

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Google’s Agent Development Kit (ADK) gives you the building blocks to create powerful agentic systems. These multi-step agents can plan, loop, collaborate, and call tools dynamically to solve problems on their own. However, this flexibility also makes them unpredictable, leading to potential issues like incomplete outputs, unexpected costs, and security risks. To help you manage …

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The next generation of disinformation: AI swarms can threaten democracy by manufacturing fake public consensus

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An international research team involving Konstanz scientist David Garcia warns that the next generation of influence operations may not look like obvious “copy-paste bots,” but like coordinated communities: fleets of AI-driven personas that can adapt in real time, infiltrate groups, and manufacture the appearance of public agreement at scale.

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Securing Agents in Production (Agentic Runtime, #1)

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Editor’s Note: This is the first in a series exploring Palantir AIP’s Agentic Runtime — the integrated toolchain for building, deploying, and managing agents in mission-critical settings. Since Day 1, Palantir’s customers have demanded rigorous security and governance capabilities that stretch far beyond conventional role-driven policies on buckets of data. This includes a security architecture that can …

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How PDI built an enterprise-grade RAG system for AI applications with AWS

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PDI Technologies is a global leader in the convenience retail and petroleum wholesale industries. They help businesses around the globe increase efficiency and profitability by securely connecting their data and operations. With 40 years of experience, PDI Technologies assists customers in all aspects of their business, from understanding consumer behavior to simplifying technology ecosystems across …

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Scaling WideEP Mixture-of-Experts inference with Google Cloud A4X (GB200) and NVIDIA Dynamo

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As organizations transition from standard LLMs to massive Mixture-of-Experts (MoE) architectures like DeepSeek-R1, the primary constraint has shifted from raw compute density to communication latency and memory bandwidth. Today, we’re releasing two new validated recipes designed to help customers overcome the infrastructure bottlenecks of the agentic AI era. These new recipes provide clear steps to …

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Railway secures $100 million to challenge AWS with AI-native cloud infrastructure

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Railway, a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised $100 million in a Series B funding round, as surging demand for artificial intelligence applications exposes the limitations of legacy cloud infrastructure. TQ Ventures led the round, with participation from FPV …

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