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AI-Ready Data: Context-Aware Products
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Video transcript
Speakers
Juan Sequeda
Head of AI Lab
Juan Sequeda
data.world
Head of AI Lab
Mohammed Aaser
Chief Data Officer
Mohammed Aaser
Domo
Chief Data Officer
Mohammed Aaser is Domo’s Chief Data Officer (CDO), where he helps customers create innovative data solutions and modern data experiences that accelerate key business processes and optimize strategic outcomes. Prior to Domo, Mohammed was CDO at McKinsey and Company, where he led the firm's data innovation capabilities, accelerating development of data apps by combining deep industry knowledge with cutting-edge data sets, data management technology and data engineering. Mohammed also held leadership roles at Ameriprise Financial, where he led the organization’s marketing strategy and analytics transformation. Mohammed received his bachelor’s degree from the University of Minnesota and an MBA from Harvard University.
Juan Sequeda of data.world and Mohammed Aaser of Domo emphasized the limitations large language models (LLMs) face when working with structured data, underscoring the critical role of semantic layers and metadata in providing business context and improving accuracy—often tripling performance over raw data alone. They stressed that enterprises must embed semantics, governance, and metadata directly into data products to transition from flashy demos to scalable AI solutions. Introducing the ABCDE framework—accountability, boundaries, clarity, downstream awareness, and explicit semantics—they outlined how to design effective, trustworthy data products. To succeed, organizations should start small, iterate, focus on business value, and ensure data is accessible and well-defined to avoid wasted resources and ensure impactful AI adoption.
Domo transforms the way these companies manage business.
