BARC:2025人工智能创新中的可观测性研究报告:应用趋势、关键需求与最佳实践(英文版)(34页).pdf

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BARC:2025人工智能创新中的可观测性研究报告:应用趋势、关键需求与最佳实践(英文版)(34页).pdf

1、Observability for AI InnovationAdoption Trends,Requirements and Best PracticesResearch sponsored by:BARC research study2 Observability for AI Innovation BARC 2025AuthorsTimm Grosser|Senior Analyst Data&Analytics at BARCTimm Grosser is a Senior Analyst Data&Analytics at BARC with a focus on data stra

2、te-gy,data governance and data management.His core expertise is the definition and im-plementation of data&analytics strategy,organization,architecture and software se-lection.Timm is a popular speaker at conferences and seminars and has authored numerous BARC studies and articles.ContactMail:Social

3、 Media: Petrie|VP of Research at BARC USKevin Petrie is the VP of Research at BARC,where he leads the data management practi-ce and writes about topics such as AI,data in-tegration and data governance.For 30 years Kevin has deciphered what technology means to practitioners,as an industry analyst,in-

4、structor,marketer,services leader,and tech journalist.Kevin launched a data analytics services team for EMC Pivotal in the Ameri-cas and EMEA,and ran field training at the data integration software provider Attunity(now part of Qlik).A frequent public speaker and co-author of two books about data ma

5、nagement,Kevin most loves teaching data and AI leaders about evolving strategies,tools and techniques to capitalize on the value of data.ContactMail:Social Media: 3 Observability for AI Innovation BARC 2025Table of ContentsExecutive Summary 5Survey Results 8 State of Observability.9 How to Tackle Ch

6、allenges in Data Observability.12 Growing Importance of Observing Unstructured Data.14 The Role of Observability Tools.17 Teamwork matters.20 The Next Wave Does GenAI Change the Game?.22Recommendations 24Methodology 27Company Profile 29 About BARC.30Sponsor Profiles 31 About Collibra.32 About Precis

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