Domain: Manufacturing
Question:
"Digital shift occurring in the manufacturing space is resulting in rapid changes in the way organization's structure, protect and exploit information not just in terms of technological advances but also in core organizational operations (RealVNC, 2025). 
 
 The harmonization of business and operations technology data however tends to reveal cracks in the legacy systems and organizational silo as well as resistance to change in the methods of working (ManufacturingTomorrow, 2025). These problems may hinder the success of digital initiatives and constrain the realization of such potential benefits as predictive maintenance (Business Insider, 2025), real-time analytics, and outcome-based business models. 
 
 Given the complexities that have been discussed in this document, what are the greatest organizational, technical and cultural actions that the manufactures can take to successfully digitize and integrate their operations?" 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 Veronesi, L. (2021). Digital Transformation in Manufacturing.
State that digital transformation succeeds when modern technology is paired with modern governance.
State that digital transformation provides opportunities to be competitive.
State that digital transformation succeeds when modern technology is paired with modern operating models.
State that in segregated models, integration to corporate systems is asynchronous and batch-based.
State that many companies operate with a segregated approach where each facility makes independent technology decisions.
State that control systems are shared between IT and OT.
State that digital transformation provides opportunities to innovate.
State that inserting new technology into an old organization does not deliver transformation.
State that cybersecurity has direct business impact.
State that inserting new technology into an old organization increases cost.
State that cloud-based systems make allocation of resources easier.
State that disruptions occur before seamless, real-time, bidirectional information flows are achieved.
State that a unified data platform improves productivity.
State that many business applications cannot seamlessly hand data to other processes.
State that siloed systems lead to expensive custom applications.
State that the factory-to-enterprise connection is structured around an IoT layer.
State that segregated integration is typically limited to demand download.
State that segregated integration is typically limited to finished product upload.
State that governance in coordinated models is provided through a PMO.
State that the integrated model is supported by a standing center of excellence.
State that the center of excellence includes permanent staff from both business and IT functions.
State that transformation creates disruptions to processes.
State that transformation creates disruptions to roles.
State that high-priority initiatives include ongoing compliance monitoring.
State that data exchange is central.
State that value chains are increasingly treated as ecosystem networks.
State that a unified data platform improves customer experience through better business insight.
State that a unified data platform improves information completeness.
State that the IoT layer dismantles traditional organizational boundaries.
State that siloed systems lead to error-prone manual processes.
State that enterprise performance dashboards support continuous planning and forecasting using the most recent data.
State that high-priority initiatives include compliance regulations.
State that high-priority initiatives include data leakage prevention.
State that operational loss is a major concern.
State that enterprise performance dashboards support situational awareness using real-time external data.
State that enterprise performance dashboards support situational awareness using real-time internal data.
State that high-priority initiatives include data loss prevention.
State that high-priority initiatives include data privacy.
State that high-priority initiatives include identity and access management.
State that users want continuous streams of information from integrated applications.
State that predictive analytics based on AI enable manufacturers to tweak maintenance schedules.
State that cloud-based systems enable location-based collaboration.
State that predictive analytics based on AI enable manufacturers to minimize outage.
State that high-priority initiatives include OT security.
State that high-priority initiatives include security governance and management.
State that coordinated models include IT support.
State that traditional boundaries keep OT and IT separate.
State that many business applications manage silos well.
State that this responsibility is required to remain relevant to the business.
State that continuously updating existing applications is a core CIO responsibility.
State that bridging gaps between business applications is a core CIO responsibility.
State that high-priority initiatives include mobile device security.
State that security governance includes reporting.
State that security governance includes metrics.
State that security governance includes risk management.
State that high-priority initiatives include cloud security.
State that AI processes high-velocity information.
State that AI processes high-variety information.
State that machine learning is positioned as the "brain."
State that AI processes high-volume information.
State that AI is positioned as the "brain."
State that hybrid models create challenges in avoiding disruption to operational processes.
State that sustainable growth is required in a world increasingly reliant on digital transition.
State that IT/OT integration must move from "segregated" to "coordinated" and then "integrated."
State that information must be managed transparently across the information lifecycle.
State that the value sought from modern technologies must be clearly defined.
State that devising a strategy includes mapping processes.
State that staff members should be educated on how to utilize new technologies.
State that staff members should be educated on how to work with new patterns.
State that relevant business cases should be sold throughout the manufacturing organization.
State that manufacturers must communicate a change plan.
State that business cases should start from the plant floor.
State that silo elimination should not be treated as the primary goal.
State that tangible outcomes should be prioritized.
State that another significant measure is investment in workforce development.
State that the change plan must protect frontline employees.
State that devising a strategy includes establishing measurable objectives.
State that devising a strategy includes establishing specific objectives.
State that architectures must address latency.
State that architectures must address data volume.
State that architectures must address security concerns.
State that frontline employees must be on-site.
State that architectures must address intellectual property concerns.
State that digital initiatives require information to be captured.
State that digital initiatives require information to be governed.
State that digital initiatives require information to be exchanged.
State that digital initiatives require information to be enhanced.
State that digital initiatives require information to be secured.
State that information spans structured information.
State that information spans unstructured information.
State that information spans the extended enterprise.
State that a unified data platform enables smarter work with information.
State that delivering more powerful business applications depends on combining advanced analytics over enterprise business data with OT data.
State that enterprise information management facilitates transparent exchange across organizational boundaries.
State that the IoT layer supports the transition from OT to IT.
State that enterprise information management acts as an information highway between OT and IT.
State that integrated analytics enable enterprise performance dashboards.
State that integrated analytics enable decision automation.
State that integrated analytics enable data exploration and investigation.
State that data exploration enables guided root cause analysis via automation.
State that data exploration enables key driver identification.