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This past week, I had the pleasure of hosting DataGovernance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , DataGovernance lead at Alation. Can you have proper data management without establishing a formal datagovernance program?
Data enrichment adds context to existing information, enabling business leaders to draw valuable new insights that would otherwise not have been possible. Managing an increasingly complex array of data sources requires a disciplined approach to integration, API management, and data security.
The best data was discovered, experts were identified, and conversations were starting. For the first time, datagovernance was no longer a naughty concept. Yup, the big syndicate was doing data culture – nice data culture. Now, elves of all rank and file can: Know their data and how they can use it.
To learn more, watch the webinar “Implementing Gen AI for Financial Services” with Larry Lerner, Partner & Global Lead - Banking and Securities Analytics, McKinsey & Company, and Yaron Haviv, Co-founder and CTO, Iguazio (acquired by McKinsey), which this blog post is based on. View the entire webinar here. Read more here.
Participate in webinars, attend conferences, and join relevant professional communities. Build a portfolio: Develop a portfolio of BI projects that showcase your skills and demonstrate your ability to deliver actionable insights through effective data visualization and reporting.
A robust infrastructure, strong datagovernance, and proactive security measures are some key requirements for the process. The partnership between Databricks and Gencore AI enables enterprises to develop AI applications with robust security measures, optimized datapipelines, and comprehensive governance.
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