数据建模是数据和人工智能成功的基础 [THR3924].pdf

1、Data Modeling as a Foundation for Data and AI SuccessAndy McGovern Sr.Principal ConsultantAI is transforming our world at an unprecedented paceCybercrime is the*3rdlargest economy globally and growing at a 15%CAGR and extensively leveraging AI.Statista 2024Organizations with AI-ready data report a 2

2、0%improvement in business outcomes.2025 Gartner CIO and Technology Executive SurveyBy 2028,at least 15%of day-to-day work decisions will be made autonomously through agentic AI,up from 0%in 2024.Gartner 202515.0%16.0%17.0%18.0%19.0%20.0%21.0%$0$50$100$150$200$250$300$350202220232024202520262027AI So

3、ftware Forecast and Growth(in Millions)2AI Software MarketGrowthHow Quest Accelerates your AI JourneyAssess your data readiness Partner with Quest to discuss your strategies for trusted data,modern data platforms readiness,and AI readiness.Secure your AI foundation Engage with Quest teams to discuss

4、 your identity governance,active directory,and migration solutions to create the trusted infrastructure AI requires.Accelerate time-to-AI value Leverage Quests proven Microsoft expertise to fast-track your journey from legacy systems to AI-enabled business transformation.Data modeling is a critical

5、foundation for building effective AI systems.It involves structuring,organizing,and preparing data to ensure it is suitable for AI algorithms.Without proper data modeling,AI systems often fail due to poor-quality data,inconsistent semantics,and lack of scalability.Modern AI systems require data that

6、 is fast,fresh,clean,and structured.Traditional batch-based approaches are insufficient for real-time AI needs.Instead,AI-ready data modeling emphasizes continuous validation,real-time feature engineering,and scalable architectures.AI-Ready Data ModelingKey Principles of AI-Ready Data ModelingContin