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- Solution Brief Improve manufacturing quality
- Solution Brief Reduce carbon footprint and energy costs with AI for more sustainable manufacturing
- Solution Brief Maximize Equipment Performance
- Solution Brief Intelligent Monitoring: Prevent productivity and revenue losses due to asset anomalies
- E-BOOK Strike a balance by uncovering your blind spots.
- E-BOOK A blueprint for demand planning evolution in four stages
- 분석 보고서 ARC View: Industrial-grade AI: Transforming Data into Insights and Outcomes
- 백서 Life-Cycle Price Optimization
- 백서 Optimizing energy use in manufacturing with data and AI
- 분석 보고서 ARC Advisory Group Smart Manufacturing – Factoring in Energy Efficiency Alongside Data and AI
- 백서 Are manufacturers prepared for sustainability?
- 백서 Using machine learning and demand sensing to enhance short-term forecasting
- E-BOOK The Path to a Single Customer View
- 기사 Modern manufacturing's triple play: Digital twins, analytics & IoT
- 고객 사례 Taking the guesswork out of production planning
- 분석 보고서 IDC Spotlight: Looking Beyond the AI Model to Improve the Value of Computer Vision in Manufacturing Operations
- 고객 사례 Making buildings – and business – more secure with analytics and AI
- 백서 Procurement integrity powered by continuous monitoring
- 분석 보고서 Maximizing Innovation in Digitally Maturing Process Manufacturing
- 분석 보고서 Advanced Analytics Excellence In Discrete Manufacturing
- 고객 사례 Optimizing the supply chain with analytics and IoT
- 고객 사례 How streaming IoT data and advanced analytics help maintain COVID-19 vaccine integrity
- 고객 사례 Putting IoT data from connected vehicles to work
- 분석 보고서 AI in Manufacturing: Enabling Business-Driven Factory Innovations
- 분석 보고서 Data-Driven Grid Reliability: IoT Sensing and Analytics to Enable Predictive Maintenance and Improve Resiliency
- 분석 보고서 dbInsight: SAS Viya is living large on Azure
- 고객 사례 A customer connection is the special ingredient
- 고객 사례 A healthier planet through bioscience innovation
- 고객 사례 Transforming steelmaking through IoT analytics
- 기사 Situational awareness guides our responses – routine to crisis
- 고객 사례 Manufacturing smarter, safer vehicles with analytics
- 고객 사례 Building materials leader optimizes production using analytics
- 웨비나 IoT Analytics: How to Make Your IoT Data Work for You
- 기사 AI in manufacturing: New opportunities for IT and operations
- 고객 사례 항공기의 중요 임무를 지원하는 AI와 IoT 분석 기술
- E-BOOK 5 Steps to Accelerate Value From Your Industrial IoT Data
- 고객 사례 Automated laboratories improve uptime with analytics
- 고객 사례 고객 사례 IoT data with artificial intelligence reduces downtime, helps truckers keep on trucking
- 백서 Assisted Demand Planning Using Machine Learning for CPG and Retail
- 백서 Artificial Intelligence for Executives
- 백서 Text Analytics for Executives
- 백서 Modern manufacturing’s triple play: Digital twins, analytics and the Internet of Things
- 기사 Connected vehicles: IoT steers a new direction for OEMs
- E-BOOK Quality 4.0 Impact and Strategy Handbook
- 고객 사례 데이터 분석을 통한 비용절감 사례
- 회견 IoT in manufacturing: Voices from the field
- 기사 Internet of things applications across multiple industries
- 기사 Coming soon: The Internet of Cars
- 기사 Analytics at the edge
- 기사 인사이트 페이지 Industry 4.0: What it is and why it matters
- 웨비나 Predictive Maintenance: A More Proactive and ROI-Driven Business Model
- 백서 AI and analytics are powering a demand planning and customer experience revolution
- 백서 Four Elements of Sustainability Analytics
- 백서 Analytics That Matter: A New World
- 백서 Computer vision for product quality
- 백서 Applying digital solutions for new revenue service streams in manufacturing
- 백서 Analyzing and leveraging large volumes of complex data
- 백서 Analytics delivers improved plant performances
- 백서 Solving the digital transformation puzzle
- 고객 사례 Fighting loan application fraud with cutting-edge analytics