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DESCRIPTION:Click for Latest Location Information: http://edw2024.dataversi
 ty.net/sessionPop.cfm?confid=159&proposalid=15020\nIn the emerging analytic
 s and AI environment, data scientists find themselves spending more time ag
 gregating, reconciling, and cleaning data, and less time conducting analysi
 s to answer critical business questions. Data engineers build data pip
 elines that pull from complex, disparate data sources to automatically feed
  intricate analytics models via stream processing. \n\nUnfortunately, 
 because this environment often rests on an unstable architectural foundatio
 n, it is quite brittle, and in the end, the findings of the models are ofte
 n assessed as not trustworthy. In a Summer 2023 survey, CDOS identifie
 d poor data quality as their “biggest challenge in realizing the pote
 ntial of generative AI."\n\nTo help address just some of these issues,
  data engineers advocate the use of data contracts to stimulate commun
 ication between data suppliers and data customers, by specifying data and d
 ata quality requirements. Data observability is used to monitor the pipelin
 es and detect and report anomalies.\n\nHowever, collaboration between Analy
 tics/AI “data teams” and traditional data management and data q
 uality teams is often overlooked.\n\nLooking ahead:\n\n
 What is the role of Data Architects and Data Quality Analysts in this space
 ?\n
 What skills can they contribute to ensure robust architectures deliver qual
 ity data for the Advanced Analytics and AI models?\n
 How do they partner with CDAOs, data engineers, and data scientists to achi
 eve that goal?\n
 What new skills do they have to master? What old habits do they have to unl
 earn?\n\nBring your questions, insights, and energy, and join us for a live
 ly interactive discussion of this important and timely topic!\n\nNOTE:&nbsp
 ;Special Interest Group (SIG) discussions are facilitated group conversatio
 ns on topics that are new, or specific to an audience segment. The format i
 s casual and without any formal presentation. The objective is to engage al
 l participants in an exchange of ideas, questions, and advice, so please co
 me with a willingness to participate in the conversation.\n
DTSTART:20240327T120000
SUMMARY:SIG: Architecture and Quality for AI and Advanced Analytics
DTEND:20240327T124459
LOCATION: See Description
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