Recorded Webinar: Next Generation Technology for Data Quality17 March 2016
What impact are next generation technologies having on data management today, and what is the outlook for further implementation and process improvements. We explore technologies such as automation, cloud computing, a managed services model, and applying the distributed model of blockchain to address data quality and management issues.
- The need for new technologies
- Potential of particular technologies
- Best practice implementation
- Business benefits
- The technology outlook
More about our speakers:
Tony Brownlee is a Kingland partner and board member, responsible for leading and setting the company’s Data Science and Research strategy worldwide. Mr. Brownlee has been instrumental in leading complex data and software initiatives at Kingland, as a founding member of the Kingland team that built the company’s first data platform, to his work with the Legal Entity Identifier (LEI) developing the first LEI platform in the world for DTCC. Mr. Brownlee’s leadership extends across the company as he has managed numerous operational, product development, business development, and client relationship management functions for the company. Tony worked closely with US regulators for more than four years on the Consolidated Audit Trail and is a leading expert on customer and account data and regulatory reporting issues. Mr. Brownlee is recognized as a thought leader in financial services and data topics and speaks regularly on data quality, data governance, data standards, legal entity and hierarchy data, and cognitive technologies and has served on various committees including the Securities Industry Financial Markets Association (SIFMA); the International Standards Organization (ISO); the Financial Stability Board (FSB) for the LEI; and the Enterprise Data Management Council (EDMC).
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