Domain: Manufacturing
Question:
Digitalization of the manufacturing industry is redefining the industry by bringing in new technologies and business models such as on demand production. Veronesi explains keyways in which digital transformation does enhance business operations of manufacturers, for example, by enabling real-time monitoring of production lines, optimizing supply chains through data analytics, and automating quality control. Can you please explain digital transformation in manufacturing industry by giving example from Veronesi 2021? Along with the uploaded documents, you can also use the following web resources:
https://www.realvnc.com/en/blog/digital-transformation-in-manufacturing/
https://www.businessinsider.com/artificial-intelligence-robotics-predictive-maintenance-manufacturing-factory-solutions-2025-5
https://www.industryweek.com/technology-and-iiot/emerging-technologies/article/55308070/what-is-edge-ai-and-how-useful-is-it-for-manufacturing
https://www.infosysbpm.com/blogs/manufacturing/cybersecurity-in-the-digital-factory-for-manufacturers.html
https://www.manufacturingtomorrow.com/story/2025/06/from-legacy-to-leading-how-manufacturers-can-bridge-the-integration-gap/25156

Do not generate any output files - just provide the response directly here.

Expected points in a correct answer:
Identify the source report as Digital Transformation in Manufacturing (2021).
State that digital transformation places information at the center of business processes.
State that digital transformation enables manufacturers to move from siloed, plant-level systems to real-time, interconnected operations.
State that AI-assisted analytics support automated quality control.
State that AI-assisted analytics support predictive maintenance.
State that advanced analytics platforms combine enterprise business data with OT data.
State that real-time monitoring allows manufacturers to detect production delays before disruption.
State that real-time monitoring allows manufacturers to detect expected breakdowns before disruption.
State that EIM secures information across IT and OT systems.
State that better visibility throughout the company is a prominent contribution of digital transformation to the improvement of business operations.
State that a manufacturer who employs cloud-based analytics can keep track of production lines in real time.
State that AI allows manufacturers to anticipate equipment failure.
State that digital transformation of manufacturing sector has its core ways in which the manufacturing sector redelivers value in an evolving market.
State that digital transformation of manufacturing sector has its core ways in which the manufacturing sector competes.
State that information-driven operations are enabled by integrated information management.
State that better data integration throughout the company is a prominent contribution of digital transformation to the improvement of business operations.
State that EIM governs information across IT and OT systems.
State that EIM captures information across IT systems.
State that AI-assisted analytics enable cognitive product quality.
State that EIM captures information across OT systems.
State that captured data flows through an IoT layer into enterprise systems.
State that sensor-driven manufacturing replaces batch-based reporting with continuous insight.
State that digital transformation reshapes how manufacturers capture information across the entire value chain.
State that digital transformation reshapes how manufacturers integrate information across the entire value chain.
State that digital transformation reshapes how manufacturers analyze information across the entire value chain.
State that digital transformation reshapes how manufacturers govern information across the entire value chain.
State that OT and IT integration is achieved through IoT-enabled architectures.
State that unified data platforms support end-to-end information flows.
State that information-driven operations are enabled by artificial intelligence.
State that according to Veronesi, the seamless incorporation of the digital technologies assists manufacturers in developing secure landscapes.
State that according to Veronesi, the seamless incorporation of the digital technologies assists manufacturers in developing connected landscapes.
State that according to Veronesi, the seamless incorporation of the digital technologies assists manufacturers in developing smart landscapes.
State that EIM delivers information across IT and OT systems.
State that information-driven operations are enabled by IoT.
State that information-driven operations are enabled by analytics.
State that AI and machine learning process large volumes of data generated by connected devices.
State that AI-assisted analytics support operational analysis.
State that unified data platforms support workforce decision-making.
State that sensors embedded in production equipment continuously capture performance metrics.
State that sensors embedded in production equipment continuously capture machine condition data.
State that analytics support demand planning.
State that quality detection uses data from sensors.
State that quality detection uses data from production systems.
State that sensors embedded in production equipment continuously capture utilization data.
State that sensors embedded in production equipment continuously capture temperature data.
State that analytics support inventory management.
State that manufacturing companies have historically been hesitant with siloed data maintenance.
State that enterprise systems include ERP systems.
State that enterprise systems include MES systems.
State that the value chain spans suppliers, production assets, employees, customers, and partners.
State that digital transformation in the manufacturing industry is fundamentally about creating an intelligent, connected, and secure information advantage.
State that digital transformation focuses on information rather than isolated technologies.
State that digital transformation in manufacturing is a shift toward information-driven operations.
State that artificial intelligence acts as the "brain" of the digital enterprise.
State that machine learning acts as the "brain" of the digital enterprise.
State that in siloed data maintenance, information regarding business systems is not integrated.
State that in siloed data maintenance, information regarding operations technology is not integrated.
State that real-time, interconnected operations are enabled by integrating operational technology (OT) with enterprise IT systems.
State that this integration enables real-time visibility into production status across facilities.
State that this integration enables real-time visibility into asset health across facilities.
State that digital transformation optimizes supply chains by enabling information sharing across ecosystems.
State that integrating data improves supply chain resilience.
State that scheduling preventive maintenance helps prevent unexpected downtimes.
State that anticipating equipment failure allows manufacturers to schedule preventive maintenance when failure is most likely to occur.
State that the transition from reactive to predictive maintenance enhances more total productivity.
State that harmonizing these data sources allows manufacturers to have an end-to-end overview of their operations.
State that digital transformation shifts quality control from reactive troubleshooting to data-driven decision-making.
State that digital transformation shifts quality control from manual inspection to proactive decision-making.
State that cognitive quality detection identifies hidden quality issues before they occur.
State that integrating data from distribution networks improves supply chain responsiveness.
State that integrating data from production machines improves control over work-in-progress.
State that right-sizing inventory balances cost with fulfillment performance.
State that combining enterprise business data with OT data improves coordination across the value chain.
State that inventory management allows manufacturers to right-size inventory.
State that combining enterprise business data with OT data improves forecasting.
State that combining enterprise business data with OT data improves planning.
State that real-time monitoring supports faster decision-making.
State that integrating data from suppliers improves control over raw materials.
State that automated quality control improves competitiveness.
State that EIM breaks down traditional silos between plants.
State that real-time monitoring improves operational efficiency.
State that EIM breaks down traditional silos between departments.
State that proactive quality control reduces waste.
State that proactive quality control improves consistency.
State that digital transformation lays the foundation for future smart manufacturing initiatives.
State that data-driven supply chain optimization improves agility.
State that correcting the processes helps ensure quality continues.
State that bottlenecks can be recognized prior to turning into serious problems.
State that keeping track of production lines in real time can keep tabs on anomalies.
State that scheduling preventive maintenance helps prevent wear-out of key assets.
State that correcting the processes helps ensure efficiency continues.
State that the more manufacturers study their data, the more important the data becomes.
State that integrated enterprise information management (EIM) is a foundational requirement.
State that manufacturers must digitize business operations rather than modernize systems in isolation.
State that manufacturers must harmonize data to improve business operations.