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The slides are available to download below and please share any of your questions here.Summary
Ring in the new year and master your data in 2023! Master data, which can be considered as a subset of all data, is a natural and core participant in a data fabric architecture. It can be made accessible across department in a governed fashion to help make informed decision and planning. At the end of the day, being able to create, maintain and make master data available to the right people at the right time regardless of where it resides makes it integral for every organization.
IBM's master data management portfolio continues to evolve and become a key component in the IBM Data Fabric architecture, and thus allow organizations to create master data across any cloud as well as further augment and enrich it with other data across the data fabric in a hybrid/multi-cloud environment with ease.During this live presentation and Q&A session, you'll be joined by IBM experts to:
Chris Yiu - Lead Product Manager - Master Data Management, Product Management, IBM Data & AI
Based out of the IBM Toronto Lab, Chris is the lead product manager for the Master Data Management portfolio within IBM Data and AI, specifically responsible for MDM AE and SE as well as other related solutions and components.
Kathryn Walker - Senior Data & AI Technical SpecialistKathryn has been at IBM as technical specialist for the MDM portfolio including MDM SE AE and Match 360 for North America for the past year and a half. Prior to that, she spent many years in private consulting for MDM and custom development.