Temporal Co-founder and CEO Samar Abbas weighs in on AI reliability, execution and what IT decision-makers should to keep in mind as agentic AI tools become ever more ubiquitous.
Agentic systems introduce additional complexity because they often involve long-running, multi-step processes spanning multiple services, models, APIs, and tools.
Overview: Compare the leading AI workflow orchestration platforms for enterprise deployments, including Temporal, LangGraph, n8n, Microsoft Agent Framewor ...
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Temporal CEO Samar Abbas on the massive platform shift in AI fueling the startup’s $5B valuation
Temporal co-founders Samar Abbas and Maxim Fateev have been tackling the same distributed systems problem since their days at Amazon, Microsoft, and Uber. But the AI boom has put the problem “on ...
Temporal logic in multi-agent systems offers a rigorous framework for specifying and analysing how autonomous agents interact and achieve objectives over time. By integrating temporal operators—such ...
Cybersecurity firms are being tasked with implementing AI agents across their teams. But the technology's capabilities remain ...
As AI systems evolve from assistants into autonomous collaborators, enterprises will need durable memory, explicit semantics, lineage, governance, and explainability. AllegroGraph and GraphTalker ...
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