Agents think in milliseconds, legacy infrastructure doesn't. LinkedIn, Walmart and Zendesk shared how they
Agents think in milliseconds, legacy infrastructure doesn't. LinkedIn, Walmart and Zendesk shared how they — company node from funding graph extraction.
News · 4
Agents think in milliseconds, legacy infrastructure doesn't. LinkedIn, Walmart and Zendesk shared how they closed the gap at VB Transform 2026
<p>Legacy infrastructure, not the models themselves, is what's actually slowing AI agents down. That was the shared conclusion of three infrastructure leaders —<!-- --> from LinkedIn, Walmart, and Zendesk —<!-- --> at<a href="https://venturebeat.com/vbtransform2026"> VB Transform 2026</a>.</p><p>The panel brought together Animesh Singh, senior director of AI platform and infrastructure at LinkedIn, Desiree Gosby, SVP of corporate technology services and technology strategy at Walmart, and S
Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents
<p>Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged on reliable multi-step execution. But the ambition runs well ahead of the reality: most deployed “agents” are still chatbot wrappers, the control plane enterprises expect is deliberately hybrid to avoid lock-in, and real-time fiscal control over token burn remains the exception.</p><p>This wave of Ven
Microsoft and LinkedIn Just Analyzed the Future of Work and AI. It All Points to One Key Skillset - inc.com
<a href="https://news.google.com/rss/articles/CBMirgFBVV95cUxQOGh3QlJjTk1GaFNubHR3U3BqSzQ0MUVpbVpsNXVtZnZtZzk4SXRHR2J6Q0JBU2RtMWhvbDlVRE9YbkFrVV9sTzBxS2RFTU9JUmFsN1BkYUtvM0llRlFyVi1yLXdjVHMtZEdOTmJ0R0NoazVZZGNuRGhQeXNEdThHQUFLWVJvY1RMeWRpbTZKR0ZtUWM0a2hDS1F6RExpaERaek9oclg1Qzg4N1J1MkE?oc=5" target="_blank">Microsoft and LinkedIn Just Analyzed the Future of Work and AI. It All Points to One Key Skillset</a> <font color="#6f6f6f">inc.com</font>
Multi-agent social intelligence with Strands Agents and Amazon Bedrock
This post shows how Thrad.ai deployed a multi-agent system with Strands Agents and Amazon Bedrock AgentCore that automates the pipeline from prospect discovery through personalized email generation. The post compares two orchestration patterns (Swarm and Graph) with head-to-head benchmarks on latency, cost, and email quality. You’ll also learn how the system scores prospects using weighted criteria, intent classification, and temporal decay, plus governance controls for production deployment.