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How AI Is Transforming Data Management and Decision Making Ft Matthieu Jonglez (Progress)
Manage episode 441455778 series 3482425
Today your host Yves Mulkers brings you an exciting episode titled 'How AI Is Transforming Data Management and Decision Making' and Matthieu Jonglez, VP of Technology at Progress is here to share his wealth of knowledge. In this enlightening discussion, Matthieu elaborates on the capabilities of MarkLogic in data and metadata management. He explores the crucial balance between IT stability and agile data projects.
Our conversation takes a deep dive into the intersection of AI and data, how various versions of truth exist in data due to user variations, and the weight of data quality in generative AI projects. Stay tuned as we decode the future of Data Management and AI with Matthieu Jonglez, right here on Data Strategy Guru's podcast.
Matthieu Jonglez is an entrepreneurial professional with a passion and extensive background in structured data. His journey in the data management domain started in 1999, when he co-founded a startup focusing on data management and exchange in the manufacturing supply chain. Since then, Jonglez has always approached data with an operationalized perspective, studying different ways to employ, leverage, and streamline data to enhance different aspects of a business. Over the years, he has broadened his expertise by examining diverse data-related areas, such as search engine taxonomy, ontology management classification, metadata management, and knowledge graph. Dominated by a pragmatic mindset, Jonglez's ultimate goal is to assist individuals and businesses in understanding and effectively utilizing their data for optimized results.
[00:00] Intro
[00:01] Balancing technology use with practical business solutions.
[06:30] Data-driven process optimization and customer micro-targeting.
[10:14] Smart data and metadata management for all.
[13:58] Seamless data modeling without altering software configuration.
[18:00] Generative AI fuels need for better data.
[19:08] Precise, secure data management essential for AI.
[24:09] Balancing innovation speed with security in development.
[28:49] Focus on data quality, governance, and operational security.
[30:22] Technology choices increase complexity, vendors provide blueprints.
[33:26] Democratizing data management for informed decision-making.
[38:27] Successful, nontraditional project led to key insights.
[41:37] Thanks for listening; please subscribe and share!
24 tập
Manage episode 441455778 series 3482425
Today your host Yves Mulkers brings you an exciting episode titled 'How AI Is Transforming Data Management and Decision Making' and Matthieu Jonglez, VP of Technology at Progress is here to share his wealth of knowledge. In this enlightening discussion, Matthieu elaborates on the capabilities of MarkLogic in data and metadata management. He explores the crucial balance between IT stability and agile data projects.
Our conversation takes a deep dive into the intersection of AI and data, how various versions of truth exist in data due to user variations, and the weight of data quality in generative AI projects. Stay tuned as we decode the future of Data Management and AI with Matthieu Jonglez, right here on Data Strategy Guru's podcast.
Matthieu Jonglez is an entrepreneurial professional with a passion and extensive background in structured data. His journey in the data management domain started in 1999, when he co-founded a startup focusing on data management and exchange in the manufacturing supply chain. Since then, Jonglez has always approached data with an operationalized perspective, studying different ways to employ, leverage, and streamline data to enhance different aspects of a business. Over the years, he has broadened his expertise by examining diverse data-related areas, such as search engine taxonomy, ontology management classification, metadata management, and knowledge graph. Dominated by a pragmatic mindset, Jonglez's ultimate goal is to assist individuals and businesses in understanding and effectively utilizing their data for optimized results.
[00:00] Intro
[00:01] Balancing technology use with practical business solutions.
[06:30] Data-driven process optimization and customer micro-targeting.
[10:14] Smart data and metadata management for all.
[13:58] Seamless data modeling without altering software configuration.
[18:00] Generative AI fuels need for better data.
[19:08] Precise, secure data management essential for AI.
[24:09] Balancing innovation speed with security in development.
[28:49] Focus on data quality, governance, and operational security.
[30:22] Technology choices increase complexity, vendors provide blueprints.
[33:26] Democratizing data management for informed decision-making.
[38:27] Successful, nontraditional project led to key insights.
[41:37] Thanks for listening; please subscribe and share!
24 tập
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