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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=16030\nThe objective of th
 is session is to equip senior executives (CDOs, CAIOs, CTOs, CEOs, etc.) wi
 th the frameworks, strategies, and insights necessary to harness unstructur
 ed data for Generative AI (GenAI) success, driving organizational transform
 ation and competitive advantage. This session will cover the following:&nbs
 p;\n \n1) Understanding Unstructured Data: Challenges and Opportunitie
 s: Deep-dive into the unique characteristics of unstructured data and its r
 ole in enabling AI/GenAI initiatives.\n\n
 What is unstructured data? (Text, audio, video, images, emails, etc.)\n
 Challenges in managing unstructured data: Silos, volume, quality, and gover
 nance.\n
 Opportunities: Customer insights, operational efficiencies, and innovation.
 \n
 Key technologies: Natural Language Processing (NLP), Computer Vision, and M
 ultimodal AI.\n\n2) Building a Strategy for Unstructured Data and GenAI: Pr
 ovide a strategic framework for leveraging unstructured data to drive succe
 ssful GenAI initiatives.\n\n
 Creating an unstructured data strategy aligned with business goals.\n
 Data acquisition, integration, and enrichment for AI readiness.\n
 Prioritizing use cases for unstructured data in GenAI.\n
 Collaboration across CDOs, CAIOs, and CTOs for enterprise alignment.\n\n3) 
 Use Cases and Success Stories: Illustrate how leading organizations success
 fully leverage unstructured data for GenAI.\n\n
 Customer Insights: Sentiment analysis, personalization, and chatbots.\n
 Operational Efficiency: Document processing and automation (e.g., contract 
 analysis).\n
 Innovation: Creating new products and services using multimodal AI.\n
 Case studies: Real-world examples from financial services, healthcare, and 
 retail.\n\n4) Governance, Privacy, and Ethics in Unstructured Data: Address
  the risks and responsibilities of managing unstructured data in AI initiat
 ives.\n\n	Governance frameworks for unstructured data.\n
 Data privacy laws and compliance (e.g., GDPR, CCPA).\n
 Ethical challenges in using unstructured data for AI.\n
 Tools for auditability and explainability in GenAI models.\n\n5) Future Tre
 nds: Unstructured Data and the Next Wave of AI: Explore the evolving landsc
 ape of unstructured data and AI to future-proof strategies.\n\n
 Trends in multimodal AI and synthetic data generation.\n
 The role of GenAI in enabling autonomous agents and decision-making.\n
 Emerging tools and standards for unstructured data.\n
 Preparing for quantum AI and its impact on unstructured data.\n\n
DTSTART:20250506T111500
SUMMARY:From Chaos to Clarity: A CDO’s Guide to Unstructured Data for GenAI
  Success
DTEND:20250506T115959
LOCATION: See Description
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