Powering your Agentic AI experience with AWS Streaming and MessagingOrganizations are accelerating innovation with generative AI and agentic AI use cases. This session explores how AWS streaming and messaging services such as Amazon Managed Streaming for Apache Kafka, Kinesis Data Streams, Amazon Managed Service for Apache Flink, and Amazon SQS build intelligent, responsive applications. Discover how streaming supports real-time data ingestion and processing, while messaging ensures reliable coordination between AI agents, orchestrates workflows, and delivers critical information at scale. Learn architectural patterns that highlight how a unified approach acts on data as fast as needed, providing the reliability and scale to grow for your next generation of AI.
What this session is about
Live updates related to this session LIVE
Sourced via Parallel AI Monitor — continuous web watch on 21 topical streams. Updated .
- union.ai high confidence Decision lineage & audit trails for agents
Agentic AI - Union.ai
New analysis of Gartner's 2026 predictions indicates that the Context Graph is the critical architectural gap that agents must fill to ensure reliable and scalable decision-making within enterprise settings.
- cloud.google.com high confidence Scaling infra for agent workloads
What’s new in compute at Next ‘26 | Google Cloud Blog
AgentBudget was identified as an open-source Python SDK that provides real-time cost enforcement for AI agents, allowing developers to set a hard dollar limit on any single AI agent session to prevent runaway expenses.
- developers.googleblog.com high confidence Multi-agent collaboration patterns
Announcing the Agent2Agent Protocol (A2A) - Google Developers ...
Google introduced the A2A (Agent2Agent) protocol, a standardized communication framework designed to enable interoperability between AI agents across different frameworks, teams, and organizations. Launched as part of a broader agentic suite at Google Cloud Next 2026, it includes
- edu.google.com high confidence Multi-agent collaboration patterns
Learning Tools & Educational Solutions
Google introduced the A2A (Agent2Agent) protocol, a standardized communication framework designed to enable interoperability between AI agents across different frameworks, teams, and organizations. Launched as part of a broader agentic suite at Google Cloud Next 2026, it includes
- skan.ai high confidence Decision lineage & audit trails for agents
How to Build an Agentic AI Strategy With Process Intelligence
New analysis of Gartner's 2026 predictions indicates that the Context Graph is the critical architectural gap that agents must fill to ensure reliable and scalable decision-making within enterprise settings.
External links matched to this session via topic relevance. The KB does not endorse third-party content; verify before citing.