Minimum Viable Data Governance: Building a Trusted Data Foundation for AI
A practical approach to building trusted data foundations without overcomplicating governance.
Hernan Osorio is a Presales Engineer and AI Engineer with over 13 years of commercial experience in the LATAM industrial sector. He combines deep customer knowledge with a passion for designing tailored technology solutions. Certified in MajorDomo, with a specialization in workflow automation, he translates business needs into scalable AI systems, guiding clients from the initial proposal through successful implementation.
Jessica Zúñiga is a cybersecurity expert and Certified Data Management Professional (CDMP) specializing in Data Governance and AI Readiness. She advises organizations across Latin America and the United States, helping them translate data strategy into practical capabilities that strengthen AI readiness and drive measurable business value. Jessica combines executive advisory experience, academic rigor, and a passion for education with an active commitment to growing the data management community across Mexico and Latin America.
Michael Kravec is a founding member and Chief Customer Officer at BlueYeti, with decades of experience in data, technology, sales engineering, and go-to-market strategy. He has helped scale industry-leading companies in the Modern Data Stack, led enterprise engagements with Fortune 500 organizations, and built high-performing technical sales teams. At BlueYeti, Michael leads customer strategy, technical sales, strategic partnerships, and thought leadership focused on helping organizations realize the value of agentic AI through trusted, high-quality data.
Mayur Mahadeshwar is a Partner Engineer at Snowflake with more than a decade of experience helping enterprises modernize their use of data and AI. His career spans SAS, Pivotal, Confluent, and Snowflake, giving him a front-row view into the evolution of data science, cloud platforms, and now agentic AI. He works with customers on how to design practical AI systems by combining the right data foundations, platforms, and tools across their ecosystem. A proud Aggie with a Master’s degree from Texas A&M University, Mayur also holds a Bachelor’s degree in Computer Science.
Jason Longhurst is an accomplished leader in marketing, design, and user experience with over a decade at Domo. As Head of Product Marketing, he drives the mission of making data and insights accessible to all. Previously, as Director of User Experience, he led teams to create intuitive tools for data tasks like transformation and storytelling. Earlier roles, including Creative Director of Product Story and UX Design Manager, showcased his ability to merge enterprise-grade functionality with user-friendly design.
A graduate of Brigham Young University with a degree in Communications and a minor in Advertising Design, Jason combines strategic thinking with creative expertise. He’s passionate about storytelling and user-centric solutions that empower teams to deliver on business goals.
Executive leaders are investing in data and AI, but many organizations struggle to turn those investments into measurable business value. The problem often isn’t the technology itself—it’s that the data behind it is inconsistent, difficult to trust, or not governed in a way that supports fast decision-making.
Minimum Viable Data Governance (MVDG) offers a more practical path forward. Instead of trying to govern everything at once, MVDG starts with a specific business problem, identifies the critical data required to solve it, and applies only the governance needed to make that data trustworthy and actionable.
Through practical business scenarios, this session will show how leaders can reduce data friction, improve trust, accelerate AI readiness, and connect governance efforts directly to measurable outcomes. You’ll also see how Domo and Snowflake can help operationalize that approach from governed data foundations through analytics and decision-making.
.svg){kind=icon}
Hernan Osorio is a Presales Engineer and AI Engineer with over 13 years of commercial experience in the LATAM industrial sector. He combines deep customer knowledge with a passion for designing tailored technology solutions. Certified in MajorDomo, with a specialization in workflow automation, he translates business needs into scalable AI systems, guiding clients from the initial proposal through successful implementation.
Jessica Zúñiga is a cybersecurity expert and Certified Data Management Professional (CDMP) specializing in Data Governance and AI Readiness. She advises organizations across Latin America and the United States, helping them translate data strategy into practical capabilities that strengthen AI readiness and drive measurable business value. Jessica combines executive advisory experience, academic rigor, and a passion for education with an active commitment to growing the data management community across Mexico and Latin America.
Michael Kravec is a founding member and Chief Customer Officer at BlueYeti, with decades of experience in data, technology, sales engineering, and go-to-market strategy. He has helped scale industry-leading companies in the Modern Data Stack, led enterprise engagements with Fortune 500 organizations, and built high-performing technical sales teams. At BlueYeti, Michael leads customer strategy, technical sales, strategic partnerships, and thought leadership focused on helping organizations realize the value of agentic AI through trusted, high-quality data.
Mayur Mahadeshwar is a Partner Engineer at Snowflake with more than a decade of experience helping enterprises modernize their use of data and AI. His career spans SAS, Pivotal, Confluent, and Snowflake, giving him a front-row view into the evolution of data science, cloud platforms, and now agentic AI. He works with customers on how to design practical AI systems by combining the right data foundations, platforms, and tools across their ecosystem. A proud Aggie with a Master’s degree from Texas A&M University, Mayur also holds a Bachelor’s degree in Computer Science.
Jason Longhurst is an accomplished leader in marketing, design, and user experience with over a decade at Domo. As Head of Product Marketing, he drives the mission of making data and insights accessible to all. Previously, as Director of User Experience, he led teams to create intuitive tools for data tasks like transformation and storytelling. Earlier roles, including Creative Director of Product Story and UX Design Manager, showcased his ability to merge enterprise-grade functionality with user-friendly design.
A graduate of Brigham Young University with a degree in Communications and a minor in Advertising Design, Jason combines strategic thinking with creative expertise. He’s passionate about storytelling and user-centric solutions that empower teams to deliver on business goals.
Domo transforms the way these companies manage business.
