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Create an image that summarises the following list of text for a PowerPoint presentation on data strategy. The audience is board level and needs to get across the various use cases available for a data intelligence and AI strategy:
Requires AI:
Automated analysis of tender documents (Natural Language Processing)
Image recognition for PPE compliance (Computer Vision)
Real-time safety risk prediction using IoT sensors (Machine Learning)
Pattern analysis of near-miss incidents (Machine Learning)
AI-powered waste reduction recommendations (Machine Learning)
AI-driven recruitment matching (Machine Learning)
Project delay risk prediction (Complex Machine Learning)
Progress monitoring through computer vision (Computer Vision)
Weather impact prediction (Machine Learning)
Machine learning-based cost estimation
Quality defect prediction (Pattern Recognition/ML)
Value engineering recommendations (Machine Learning)
Automated quantity takeoff from BIM (Computer Vision/ML)
Traditional Data Analytics:
Bid success prediction modeling
Competitor analysis and market positioning
Client relationship scoring
Predictive maintenance modeling
Carbon footprint tracking
Energy usage optimization
Material sustainability scoring
Skills gap analysis
Project resource optimization
Employee retention risk modeling
Supplier performance scoring
Materials delivery optimization
Price trend analysis
Supplier diversity monitoring
Project scheduling optimization
Risk-adjusted pricing models
Cash flow optimization
创建一个图像,总结以下关于数据策略的PowerPoint演示文稿的文本列表,受众是董事会级别的,需要了解可用于数据智能和AI策略的各种用例:
需要AI:
自动分析招标文件 (自然语言处理)
图像识别PPE合规性 (计算机视觉)
使用物联网传感器的实时安全风险预测 (机器学习)
未遂事件的模式分析 (机器学习)
人工智能驱动的废物减少建议 (机器学习)
AI驱动的招聘匹配 (机器学习)
项目延迟风险预测 (复杂机器学习)
进度监控通过计算机视觉 (计算机视觉)
天气影响预测 (机器学习)
基于机器学习的成本估算
质量缺陷预测 (模式识别/ML)
价值工程建议 (机器学习)
从BIM自动起降数量 (计算机视觉/毫升)
传统数据分析:
投标成功预测建模
竞争对手分析和市场定位
客户关系评分
预测性维护建模
碳足迹追踪
能源使用优化
材料可持续性评分
技能差距分析
项目资源优化
员工保留风险建模
供应商绩效评分
材料交付优化
价格趋势分析
供应商多样性监控
项目进度优化
风险调整定价模型
现金流优化
生成参数
使用模型
模型分类
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