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DESCRIPTION:Click for Latest Location Information: http://edw2024.dataversi
 ty.net/sessionPop.cfm?confid=159&proposalid=14961\nWith the increasing use 
 of (Gen) AI and the upcoming AI regulations, demonstrable "in control&
 quot; of data (quality) management is becoming more important for more and 
 more industries and sectors. Based on other regulatory requirements, financ
 ial institutions have been working on this for quite some time. The approac
 h that Rabobank has developed for this is a good practice for other industr
 ies.\n\nAs a bank/financial service provider, Rabobank operates in a highly
  regulated industry. Data and the ability to utilize data are crucial for t
 he bank. Rabobank created an approach to stay in control of its data and to
  be compliant with relevant regulations. Data management (including qu
 ality) is an area under regulatory scrutiny. For several years supervisors 
 have been pushing banks to improve their data quality. The availability of 
 high-quality data and advanced analytics capabilities (Gen AI, Machine
  Learning, etc.) are essential to build tomorrow’s data-driven bank. 
 What is Rabobank doing to stay in control of its data, meet regulatory requ
 irements, and create more value out of data?\n\n	About Rabobank\n
 Data & Analytics (incl. AI) Operating Model\n
 Data Management Governance and Framework\n
 Data Management Risk and Control Activities\n
 "In Control" Reporting\n\n
DTSTART:20240326T111500
SUMMARY:Demonstrably "In Control" of Data (Quality) Management
DTEND:20240326T115959
LOCATION: See Description
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