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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16805\nOrganizations acc
 elerating AI adoption often focus governance on models, policies, and compl
 iance while overlooking the critical relationship between the Data Developm
 ent Lifecycle (DDLC) and the Software Development Lifecycle (SDLC). This ga
 p creates risks in data quality, deployment velocity, change management, an
 d operational trust.\n\nThis three-hour session demonstrates how modern org
 anizations can integrate data engineering, software engineering, agile deli
 very, and AI governance into a cohesive operating model. Participants will 
 explore how DDLC and SDLC intersect within agile environments, why governan
 ce failures frequently stem from misaligned development processes, and how 
 organizational culture and ownership influence governance maturity.\n\nThro
 ugh practical frameworks and guided discussion, attendees will learn how to
  embed governance-by-design principles into delivery workflows and support 
 scalable, trustworthy AI systems. The session equips participants with acti
 onable tools to align governance, engineering, and business objectives and 
 strengthen the foundations required for responsible AI adoption.\n\nLearnin
 g Objectives: \n\n	\n
 Differentiate DDLC and SDLC — Understand how lifecycle interactions a
 ffect data quality, delivery speed, and AI reliability.\n	\n	\n
 Identify common failure points — Recognize where data, software, agil
 e, and governance practices diverge and create risk.\n	\n	\n
 Evaluate agile impacts — Assess where agile accelerates delivery and 
 where it introduces governance challenges.\n	\n	\n
 Analyze organizational factors — Explain how culture, ownership, and 
 change management shape governance maturity.\n	\n	\n
 Apply governance-by-design — Use an integrated lifecycle framework to
  embed governance into delivery workflows.\n	\n
DTSTART:20261116T083000
SUMMARY:Engineering Governance: Integrating DDLC, SDLC, Agile Delivery, and
  AI Governance
DTEND:20261116T114459
LOCATION: See Description
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