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从数据到预测:使用 Oracle AI 数据平台构建 AI 模型 [LRN3466].pdf

上传人: Fl****zo 编号:970980 2025-11-08 31页 3.81MB

1、From Data to Predictions:Building AI Models with Oracles AI Data PlatformProduct Manager,AI Data PlatformOctober 16,2025Sujoy ChowdhuryLRN 3466The following is intended to outline our general product direction.It is intended for information purposes only,and may not be incorporated into any contract

2、.It is not a commitment to deliver any material,code,or functionality,and should not be relied upon in making purchasing decisions.The development,release,timing,and pricing of any features or functionality described for Oracles products may change and remains at the sole discretion of Oracle Corpor

3、ation.Safe harbor statement2Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly RestrictedForward-Looking statementsThis presentation is intended to outline our general product direction.It is intended for information purposes only,and may not be incorporated into any

4、 contract.It is not a commitment to deliver any material,code,or functionality,and should not be relied upon in making purchasing decisions.The development,release,timing,and pricing of any features or functionality described for Oracles products may change and remains at the sole discretion of Orac

5、le Corporation.Statements in this presentation relating to Oracles future plans,expectations,beliefs,intentions,and prospects are“forward-looking statements”and are subject to material risks and uncertainties.A detailed discussion of these factors and other risks that affect our business is containe

6、d in Oracles Securities and Exchange Commission(SEC)filings,including our most recent reports on Form 10-K and Form 10-Q under the heading“Risk Factors.”These filings are available on the SECs website or on Oracles website at https:/ information in this presentation is current as of October 2025 and

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根据《From Data to Predictions: Building AI Models with Oracle’s AI Data Platform》的内容,以下是全文关键点的概括: 1. **AI数据平台概述**:Oracle AI数据平台旨在帮助企业通过整合企业数据和顶级AI模型及开发工具,构建AI代理和应用程序,推动创新、效率和竞争优势。 2. **业务问题**:企业面临数据孤岛、工作流程复杂、安全性和访问控制不一致、缺乏治理和可审计性、通用模型缺乏业务背景以及AI部署操作复杂等挑战。 3. **AI数据平台功能**: - 数据集成、数据工程、数据科学、目录和治理。 - AI代理、数据与AI基础、AI驱动开发工具、用户体验。 - 开放湖屋架构、Oracle数据库和开源引擎、AI模型和框架。 4. **客户流失预测**:使用AI数据平台进行客户流失预测,通过Medallion架构和LLMs实现,包括数据摄入、特征工程、模型训练、评估和验证、以及模型部署。 5. **关键数据**:2025年全球因不良客户体验而面临的风险销售额高达3.8万亿美元。 6. **结论**:AI数据平台简化了AI模型的构建,对于解决如客户流失等大规模问题至关重要,并提供了一个统一平台,支持整个数据AI ML工作流程和生命周期。
"AI平台如何助你预测客户流失?" 构建高效AI模型的关键!" AI模型构建全攻略!"
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