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1000_Meyers.pdf

上传人: 拾起 编号:1235359 2026-05-04 11页 363KB

1、Your Data Is Your Moat.Your Agents Are the Bridge.Brilliant agents can still lose.Retrieval is why.Your competitors have access to the same models.The same APIs.The same compute.The only thing they cannot replicate is your data your operational history,customer context,institutional knowledge is you

2、rs and yours alone.In the agentic era,that advantage is only real if your agents can access it.Relevant.Trusted.Open.Your Data Is Your Moat.WHAT YOU HAVEDecades of data not just the what.The how processes,decisions,workflows.The why context,rationale,institutional memory.That knowledge is real.And i

3、t is genuinely irreplaceable.WHAT IT TAKES TO ACTIVATE ITIt does not happen overnight.It happens in steps.But it works best when every step is aimed at a common guidepost:Relevant.Trusted.Open.That guidepost is a foundation,not a finish line.The Data Exists.The Readiness Doesnt.70%AI POCs that FAIL.

4、Retrieval quality is the#1 cited root cause.Not the model.The layer that feeds it.Most organizations have not yet built the bridge.This is why.But the Moat Isnt Being Activated.WHAT EVERY REVIEW COVERSModel selectionPrompt engineeringCompute&costVector database choiceWHATS MISSINGWhat does the agent

5、 retrieve?How fresh is that knowledge?Who controls access and when?Can you see what it retrieved?The retrieval layer is the one thing you fully control.Its not on the agenda.Architecture Reviews Have a Blind Spot.STALEAgents reason on data that changed yesterday.They sound authoritative.They are not

6、.In regulated industries,that is not a quality problem.It is a liability.UNGOVERNEDData crosses permission boundaries before filtering applies.By the time you filter,the model has already processed it.That is not a control.That is hope.INVISIBLEWhen agents fail,no one knows what

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1. **数据是核心壁垒**:企业独有的运营历史、客户背景及机构知识("what, how, why")是竞争对手无法复制的优势,但需通过智能体(agents)才能激活。 2. **检索层是关键短板**:70%的AI项目失败主因是检索质量差,而非模型或算力问题,多数企业尚未构建"数据桥梁"。 3. **三大风险**: - **过时数据**(Stale):智能体依赖旧数据推理,尤其在监管行业构成风险; - **无管控访问**(Ungoverned):数据越权后过滤,模型已处理无效信息; - **不可见检索**(Invisible):失败时无法追溯检索内容,无法有效治理。 4. **解决方案**:构建"相关、可信、开放"(Relevant. Trusted. Open)的知识层,明确数据边界与权限,将数据壁垒转化为持续竞争优势。
数据护城河如何激活? 检索层为何被忽视? 代理如何尊重数据边界?
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