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Databricks 上的 Databricks:大规模使用 GenAI 代理转变销售体验.pdf

上传人: Fl****zo 编号:718636 2025-06-22 22页 1.95MB

1、Forward-looking StatementThis presentation has been prepared for informational purposes only.The information set forth herein does not purport to be complete or contain all relevant information.Statements contained herein are made as of the date of this presentation unless stated otherwise.This pres

2、entation and the accompanying oral commentary may contain forward-looking statements.In some cases,forward-looking statements can be identified by terms such as“may”,“will”,“should”,“expects”,“plans”,“anticipates”,“could”,“intends”,“projects”,“believes”,“estimates”,“predicts”,or“continue”,or the neg

3、ative of these words or other similar terms or expressions that concern Databricks expectations,strategy,plans,or intentions.Forward-looking statements are based on information available at the time those statements are made and are inherently subject to risks and uncertainties that could cause actu

4、al results to differ materially from those expressed in or suggested by the forward-looking statements.Forward-looking statements should not be read as a guarantee of future performance or outcomes.Except as required by law,Databricks does not undertake any obligation to publicly update or revise an

5、y forward-looking statement,whether as a result of new information,future developments or otherwise.2Complete Your SurveysYou will receive a survey for each session attendedOpen the Databricks Events app and select“My Surveys”from the menuSurveys can also be submitted in the Attendee Portal3Your fee

6、dback has a direct impact on Data+AI Summit contentDatabricks on Databricks:Transforming the Sales Experience using GenAI Agents at ScaleAkhil Aggrawal,Sr.Principal ArchitectManjeet Chhabra,Sr.Director,Product ManagementJune 11th,2025Our AI PlaybookDeliver Productivity Gainsacross the enterpriseSimp

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本文主要内容是Databricks公司关于使用人工智能(AI)转型销售体验的介绍。关键点如下: 1. 文章讨论了前瞻性声明,提醒读者这些声明存在不确定性和风险。 2. Databricks提出了“Lakehouse”架构,通过统一数据治理和安全性,实现企业内部数据与AI的民主化。 3. AI自动化潜力巨大,可应用于企业各个部门,提高工作效率。 4. 介绍了名为“Moe”的现场AI代理,该代理能够提升销售人员的工作效率,已部署给约4000名销售人员,并完成了超过10,000次对话交互。 5. 文章提到了AI技术栈、工具库和Mosaic AI代理框架等关键组件,并强调了数据质量、用户期望管理、ROI测量和快速适应变化的重要性。 核心数据引用: - “30 0 0 +m o nt h ly a c t ive us e rs”(每月3000多名活跃用户) - “10 ’s o f PBso f d a t a”(数十PB数据) - “10 0 ,0 0 0 +d a ily jo b s”(每天10万多任务) - “Rolled out to ~4000 sellers with over 10K conversational interactions since launch”(自推出以来,部署给约4000名销售人员,完成超过10,000次对话交互)
"AI助力的销售体验如何变革?" "如何通过统一数据湖架构提升企业AI民主化?" "GenAI技术如何实现销售效率飞跃?"
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