WelcomeOverviewAI agents versus AI assistantsWhat is agentic AI?Why is agentic AI important?Agentic AI versus generative AIOverviewAgentic codingAgentic engineeringAgentOpsTutorial: AgentOps with IBM Telemetry using watsonx OrchestrateBuilding AI agentsEvolution of AI agentsOverviewGoal-based agentModel-based reflex agentSimple reflex agentUtility-based agentOverviewWhat are agentic workflows?Tutorial: Agentic workflowsCommunicationLearningMemoryPerceptionPlanningReasoningWhat is tool calling?Tutorial: Ollama tool callingTutorial: LM Studio tool callingOverviewWhat is agent orchestration?Tutorial: Agent orchestrationHierarchical AI agentsWhat are multi-agent systems?Tutorial: crewAI multi-agent call analysisMulti-agent collaborationWhat is ReAct?Tutorial: LangGraph ReAct agentWhat is ReWOO?Tutorial: ReWOO reasoning agentOverviewWhat is ACP?Tutorial: ACP agent interoperabilityWhat is A2A protocol?Tutorial: A2A chat systemWhat is MCP?Tutorial: MCP integration with IBM BobTutorial: MCP serverOverviewWhat is agentic orchestration?Tutorial: Agent orchestrationMulti-agent collaborationTutorial: crewAI multi-agent call analysisOverviewAgentGPTWhat is AutoGen?Tutorial: AutoGen multi-agent RAGAutoGPTBabyAGIWhat is BeeAI?Tutorial: BeeAI agentic contract managementWhat is ChatDev?Tutorial: ChatDev ChatChainWhat is crewAI?Tutorial: crewAI retail shelf optimizationIBM watsonx agentsWhat is LangChain?Tutorial: LangChain agentWhat is LangGraph?Tutorial: LangGraph SQL agentTutorial: LangGraph ReAct agentWhat is Langflow?Tutorial: Custom Langflow agent with watsonx OrchestrateWhat is MetaGPT?Tutorial: Multi-agent PRD automationOverviewAI agent ethicsWhat is AI agent evaluation?Tutorial: AI agent evaluationTutorial: AI agent observabilityAI agent securityTutorial: Human-in-the-loopOverviewTutorial: LangChain agentic RAGWhat is agentic chunking?Tutorial: Agentic chunking for RAGTutorial: Corrective RAGOverviewAutomationCustomer serviceFinanceHealthcareHuman resourcesManufacturingMarketingProcurementRevOpsSalesSupply chainRina Diane CaballarCole Strykerartificial intelligence (AI)multi-agent systemsinteroperabilityAI agentsAI agent frameworksopen standardAI agent communicationAgent Communication Protocol (ACP)BeeAIagent orchestrationcrewAILangChainworkflowsagentic architecturessilosopen-sourceModel Context Protocol (MCP)APIs (application programming interfaces)agent collaborationdatabasesIBM Privacy Statementagentic AImetadataauthenticationlarge language models (LLMs)authorizationserver-sent events (SSE)data privacyuser experience (UX)A2A sitePythonGithub siteUpcoming webinar - May 19, 2026
Designing customer engagement: AI workflows that solve problems, not frustrate customers
Learn how AI agents reduce service friction, fit into real workflows, and help teas deliver faster, more engaging customer experiences.
Join nowBuild, run and manage AI agents with watsonx OrchestrateIBV Report
The enterprise in 2030: Engineered for perpetual innovation
Discover our five predictions about what will define the most successful enterprises in 2030, and the steps leaders can take to gain an AI-first advantage.
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AI governance imperative: evolving regulations and emergence of agentic AI
Learn how evolving regulations and the emergence of AI agents are reshaping the need for robust AI governance frameworks.
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Agentic AI explained
Techsplainers by IBM breaks down the essentials of agentic AI, from key concepts to real‑world use cases. Clear, quick episodes help you learn the fundamentals fast.
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Unlock AI ROI: A tactical guide to enterprise productivity
Learn proven strategies to boost productivity and power enterprise transformation with AI and innovation at the core.
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How AI agents and assistants can benefit your organization
Dive into this comprehensive guide that breaks down key use cases and core capabilities, providing step-by-step recommendations to help you choose the right solutions for your business.
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Reimagine business productivity with AI agents and assistants
Learn how AI agents and AI assistants can work together to achieve new levels of productivity.
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Try watsonx Orchestrate®
Explore how generative AI assistants can lighten your workload and improve productivity.
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From AI projects to profits: How agentic AI can sustain financial returns
Learn how organizations are shifting from launching AI in disparate pilots to using it to drive transformation at the core.
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Omdia Report on empowered intelligence: The impact of AI agents
Discover how you can unlock the full potential of gen AI with AI agents.
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How AI agents will reinvent productivity
Learn ways to use AI to be more creative, efficient and start adapting to a future that involves working closely with AI agents.
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Ushering in the agentic enterprise: Putting AI to work across your entire technology estate
Stay updated about the new emerging AI agents, a fundamental breaking point in the AI revolution.
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The future of agents, AI energy consumption, Anthropic computer use and Google watermarking AI-generated text
Stay ahead of the curve with our AI experts on this episode of Mixture of Experts as they dive deep into the future of AI agents and more.
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How Comparus is using a "banking assistant"
Comparus used solutions from watsonx.ai® and impressively demonstrated the potential of conversational banking as a new interaction model.
Read the case studyExplore watsonx OrchestrateExplore AI agent solutionsExplore artificial intelligence servicesExplore watsonx OrchestrateExplore watsonx.aiAnnouncing the Agent2Agent Protocol (A2A)Linux Foundation Launches the Agent2Agent Protocol Project to Enable Secure, Intelligent Communication Between AI AgentsWhat's next
智能索引记录
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2026-05-01 20:07:57
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标题:我进的第一家上班的公司是女朋友推荐的
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