Introducing Genie One, Genie Agents, and Genie Ontology

Despite the progress in LLMs and consumer chat agents, most enterprise teams still struggle to put AI to work on real business questions. The reason is that getting insights out of data - the ground truth of the business - is hard even with the latest generations of models and agents.尽管大型语言模型和消费级聊天代理取得了进展，但大多数企业团队仍然难以将 AI 应用于真实的业务问题。原因在于，即使使用最新一代的模型和代理，从数据——业务的真实基础——中获取洞察仍然困难。

The reason for this is that the business context required to use data is scattered across dashboards, queries, pipelines, wikis, tickets, documents, and chat threads. When AI doesn’t easily find the information it needs, it fills in the gaps with inference, producing answers that are generic at best and wrong at worst. The current generation of agents often go through a process of iterative probing that is extremely slow and costly, and forcing a compromise in quality. This has resulted in unacceptably poor performance for truly data-driven decision making and actions.造成这种情况的原因是，使用数据所需的业务上下文分散在仪表板、查询、流水线、维基、工单、文档和聊天线程中。当 AI 无法轻松找到所需信息时，它会通过推断填补空白，产生的答案充其量是通用的，最糟糕的情况下是错误的。当前一代的代理往往需要进行极其缓慢且成本高昂的迭代探查过程，迫使质量妥协。这导致在真正的数据驱动决策和行动方面表现不可接受地差。

Today, we are announcing our solution to this problem:今天，我们宣布了解决该问题的方案：

1. Genie One: a data-smart AI coworker that works across all of your data,Genie One：一款跨所有数据工作的智能 AI 同事
2. Genie Agents: a way for everyone to create dedicated agents to automate work, andGenie Agents：让每个人都能创建专用代理以实现工作自动化的方式，
3. Genie Ontology: an automatic and secure context store that enables agents to achieve superior accuracy and performance.Genie Ontology：一个自动化且安全的上下文存储，使代理能够实现卓越的准确性和性能。

Genie One: The data-smart AI coworker for every teamGenie One：每个团队的智能数据 AI 同事

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Genie began as a conversational analytics assistant in Databricks AI/BI. Genie One is the next step: a data-smart AI coworker designed to help users move from insight to action.Genie 最初是 Databricks AI/BI 中的对话式分析助手。Genie One 是下一步：一款智能数据 AI 同事，旨在帮助用户从洞察转向行动。

• For all of your apps and data. Genie One connects insights from across your entire data estate through a rich ecosystem of native connectors. Through Lakehouse federation, Lakeflow Connect, and new two-way integrations to everyday business tools (e.g., Gmail, Slack, Teams), Genie One can extract insights and orchestrate actions with any system you may have.适用于您所有的应用和数据。Genie One 通过丰富的原生连接器生态系统，将整个数据资产中的洞察连接起来。通过 Lakehouse 联邦、Lakeflow Connect 以及与日常业务工具（如 Gmail、Slack、Teams）的新双向集成，Genie One 能够提取洞察并与您可能拥有的任何系统协同执行操作。
• Full co-work capabilities. Genie One provides a full suite of agentic-cowork capabilities, including schedules and alerts, monitoring, document creation, custom skills, and custom MCP support. Sales leaders can ask Genie to prepare a daily brief for all their customer meetings, combining the context from their calendar, email, and hard data from their Lakehouse and other connected systems. General managers can simply paste in last month’s business review document, and ask Genie to update it with the latest information from their inventory systems, along with the transcripts from their team discussions. The possibilities are endless.完整的协同工作能力。Genie One 提供完整的代理协同功能套件，包括日程和提醒、监控、文档创建、自定义技能和自定义 MCP 支持。销售主管可以让 Genie 为所有客户会议准备每日简报，结合其日历、电子邮件以及来自 Lakehouse 和其他连接系统的硬数据。总经理只需粘贴上个月的业务回顾文档，并让 Genie 用最新的库存系统信息以及团队讨论的文字记录进行更新。可能性无限。

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Because enterprise work happens across a full stack of tools and surfaces, we’re bringing Genie to everywhere work happens—starting by embedding it natively into Slack and Microsoft Teams. Users can simply @mention Genie in any conversation to ask questions in natural language and get accurate answers in seconds. Genie can also be used in public channels and threads, helping teams collaborate without switching context. Every response is governed, secure, and tailored to what each user is authorized to access.因为企业工作跨越完整的工具栈和界面，我们将 Genie 带到工作发生的每个地方——首先将其原生嵌入 Slack 和 Microsoft Teams。用户只需在任何对话中 @提及 Genie，即可用自然语言提问并在秒内获得准确答案。Genie 也可在公共频道和线程中使用，帮助团队协作而无需切换上下文。每个响应都受治理、保障，并根据每位用户的授权进行定制。

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For users on the go, we’re launching new iOS and Android apps that put Genie in your pocket. Users can ask questions, get alerts, and take action on insights grounded in your company data, from anywhere.针对移动用户，我们推出了全新的 iOS 和 Android 应用，让 Genie 随身携带。用户可以随时提问、接收提醒，并对基于公司数据的洞察采取行动。

And for organizations who have adopted an existing AI agent or developed their own, we’re also announcing the Genie MCP App, which allows those users to benefit from Genie without having to change their workflows.对于已经采用现有 AI 代理或自行开发的组织，我们还宣布了 Genie MCP 应用，使这些用户无需更改工作流即可受益于 Genie。

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Our investment in building the Uplight Data Platform on top of Databricks is paying off in powerful new ways. By bringing Genie One capabilities to our data, we’re enabling teams across Uplight to explore, discover, and innovate with more speed, confidence, and creativity than ever before. This is the promise of data democratization - enabling a culture where curiosity, data-informed decision-making, and innovation can happen at every level of the company.— Micaela Christopher, Director of Data Science and Engineering, Uplight我们在 Databricks 上构建 Uplight 数据平台的投入正以强大的新方式产生回报。通过将 Genie One 能力引入我们的数据，我们使 Uplight 各团队能够以更快的速度、更大的信心和创造力进行探索、发现和创新。这正是数据民主化的承诺——在公司每个层级都能实现好奇心、数据驱动决策和创新。—— Micaela Christopher，Uplight 数据科学与工程总监

Genie Agents: from a single prompt to an autonomous agentGenie Agents：从单一提示到自主代理

Databricks customers have created more than a million Genie Spaces—curated, governed chat experiences scoped to specific topics, with verified logic and benchmarks. Now, Genie Spaces is evolving into Genie Agents: curated, domain-specific AI agents that:Databricks 客户已创建超过一百万个 Genie Spaces——针对特定主题、经过治理的聊天体验，具备已验证的逻辑和基准。现在，Genie Spaces 正在演变为 Genie Agents：经过策划的、面向特定领域的 AI 代理，能够：

• Take autonomous action. Genie Agents use the same tools Genie One does—MCP connections, scheduled tasks, document and artifact generation, and writes to external systems—to complete multi-step workflows without need for oversight or intervention.自主行动。Genie Agents 使用与 Genie One 相同的工具——MCP 连接、计划任务、文档和制品生成，并写入外部系统，以完成多步骤工作流，无需监督或干预。
• Reason over unstructured data, not just tables and views. Agents can be grounded in documents, files, and knowledge sources alongside structured data, covering the full context of a real business problem.对非结构化数据进行推理，而不仅限于表格和视图。代理可以基于文档、文件和知识源以及结构化数据，为真实业务问题提供完整上下文。

Best of all, creating an agent is as simple as describing what you want: spin up a Genie Agent from a single prompt in Genie One or Genie Code, scope it, benchmark it, and share it for teammates to use or customize. Genie Agents let domain experts scale their expertise by turning trusted rules, data, and workflows into coworkers the whole team can rely on.最棒的是，创建代理只需描述你的需求：在 Genie One 或 Genie Code 中通过单一提示启动 Genie Agent，设定范围、进行基准测试并共享给团队成员使用或定制。Genie Agents 让领域专家通过将可信规则、数据和工作流转化为全团队可依赖的同事，实现专业知识的规模化。

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At Foot Locker, Genie Agents are transforming how we lead. They provide our executives and business teams with a centralized space to harness AI-driven insights across every North American banner we operate. As we scale Genie to the enterprise, it's reshaping the way our business interacts with data and makes the decisions that matter most. Genie isn't just a tool; it's the engine driving self-service insights across our organization— Matt Giunipero, VP of Data & Analytics and Krish Lakshminarayanan, VP, AI, Data & Analytics, Enterprise Architecture, Foot Locker在 Foot Locker，Genie Agents 正在改变我们的领导方式。它们为我们的高管和业务团队提供了一个集中空间，以在我们运营的每个北美品牌中利用 AI 驱动的洞察。随着我们将 Genie 推向企业，它正在重塑我们的业务与数据的交互方式，并做出最关键的决策。Genie 不仅是工具，更是推动全组织自助洞察的引擎——Matt Giunipero，数据与分析副总裁；Krish Lakshminarayanan，AI、数据与分析副总裁，企业架构，Foot Locker

Genie Ontology: a living context graph for your businessGenie Ontology：为您的业务提供活体上下文图谱

Genie One and Genie Agents are powered by Genie Ontology, an automatic context layer. Genie Ontology automatically extracts snippets of knowledge from tables, queries, dashboards, pipelines, and connected apps, and organizes that knowledge into a living graph of how a company works and what the data inside actually means. Genie has context about where to look, what to trust, and how to answer in a way that reflects how the company actually uses its data. That includes metric definitions, business terms, unique calculations, and the relationships between concepts, metrics, tables, and teams.Genie One 和 Genie Agents 由 Genie Ontology 提供动力，这是一层自动化的上下文层。Genie Ontology 自动从表格、查询、仪表板、流水线和连接的应用中提取知识片段，并将这些知识组织成公司运作方式及其数据实际含义的活体图谱。Genie 了解该查找何处、信任何物，并以符合公司实际数据使用方式的方式作答。其内容包括指标定义、业务术语、独特计算以及概念、指标、表格和团队之间的关系。

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One key innovation of Genie Ontology is its approach to determining authority. Using an approach similar to PageRank, Genie Ontology weighs where a definition came from, the relative authority of that source’s author, how often people rely on it, how closely it ties to certified and widely-used assets, and how fresh it is. Then, Genie answers from the sources that carry the most weight. It also enforces the permissions of each source by only showing you the content that you actually have permissions to see. The result is that Genie solves the context problem, without asking your teams to hand-curate it or manage a separate permissions system.Genie Ontology 的一项关键创新是其确定权威性的方式。它采用类似 PageRank 的方法，对定义来源、该来源作者的相对权威、使用频率、与已认证且广泛使用资产的关联程度以及新鲜度进行加权。随后，Genie 从权重最高的来源提供答案。它还通过仅显示用户实际拥有权限查看的内容来强制执行每个来源的权限。结果是 Genie 解决了上下文问题，而无需团队手动策划或管理单独的权限系统。

Our internal benchmark of real-world enterprise data analysis tasks have shown that Genie Ontology significantly improves agent performance on complex, enterprise data questions. In our testing, Genie answered 84.5% of questions correctly on the first attempt, while the strongest general-purpose coding agent managed just 52.4% — and the weakest only 25%. And Genie doesn’t trade off accuracy for speed. Genie delivers high accuracy and low latency, 2× faster than the strongest coding agent. 我们对真实企业数据分析任务的内部基准测试显示，Genie Ontology 显著提升了代理在复杂企业数据问题上的表现。在我们的测试中，Genie 首次尝试即正确回答了 84.5% 的问题，而最强的通用编码代理仅为 52.4%，最弱的仅为 25%。而且 Genie 并未在速度上牺牲准确性。Genie 提供高准确性和低延迟，速度是最强编码代理的 2 倍。

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Governed and secure by design设计即治理且安全

To roll out any AI tool across a company, leaders and IT teams need confidence that it’s governed, secure, and ready to scale. That’s why Genie One includes a full suite of admin governance tools designed to help organizations deploy AI across their teams.要在公司范围内部署任何 AI 工具，领导者和 IT 团队需要确信它是受治理、受保障且可扩展的。这就是 Genie One 包含完整管理员治理工具套件的原因，旨在帮助组织在团队中部署 AI。

Like every Databricks product, governance and security sit at the heart of Genie. Permissions are enforced by default on every answer through source-native ACLs or Unity Catalog. MCP, tools and costs are governed by the Unity AI Gateway, providing a single pane of governance for admins.与所有 Databricks 产品一样，治理和安全是 Genie 的核心。通过源本地 ACL 或 Unity Catalog，默认在每个答案上强制执行权限。MCP、工具和成本由 Unity AI Gateway 治理，为管理员提供统一的治理界面。

Getting started入门指南

Genie One is the data-smart AI coworker every business user needs: it understands enterprise context, works across the tools where work happens, and is governed by design.Genie One 是每位业务用户都需要的智能数据 AI 同事：它理解企业上下文，跨工作发生的工具工作，并且设计即受治理。

To try Genie One, see our documentation, install the mobile app for iOS or Android, or contact your Databricks account team.要试用 Genie One，请参阅我们的文档，安装 iOS 或 Android 移动应用，或联系您的 Databricks 客户经理。