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Ascertaining the truthfulness and trustworthiness of information posted on social media has been challenging with the proliferation of unsubstantiated, misleading, and inciting news, with different intents by purveyors. Unlike the traditional media with some level of regulations, user-generated posts on social networks does not pass through censorships in order to establish the truism of news items hence the need to be cautious of posted information on the networks. The lingering issue of recent suspension of Twitter microblogging site by the Nigerian government and the consequent decision to regulate social network operations in the country similarly centers on the subject of social media dependability for legitimate social engagements by millions of savvy Nigerian users. Whereas existing models in literature have proposed state-of-the-arts, this study seeks to improve on obtainable studies with a bi-modal machine learning methodology that indicate symptoms of infodemic social media posts. Using a multimedia facebook corpus, an unsupervised natural language processor, Inception v3 model, coupled with a hierarchical clustering network, is deployed for the duo of image and text sentiment analytics. Experimental result uniquely identified infodemic tendencies in facebook text-corpus and efficiently differentiates image-corpus into respective clusters through the Euclidian distance metrics. The most infodemic post returned a-0.9719 compound score while the most positive post returns 0.9488. Veracity assessment of polarized opinions expressed in negative clusters reveals that provocative, derogatory, obnoxious, etc. indicate propensity for infodemic tendencies. The main cost associated with the Product lifecycle of an Aerospace part is its Manufacturing and Maintenance. There are several Non-conformance (sometimes referred to as defects) reported during part manufacturing, shipment, assembly, field operation, service, and overhaul. These are due to improper handling or due operational wear and tear. Non-conformance is a non-fulfilled requirement to design specification that could be a dimension, specification, or engineering process deviation. In the Aerospace industry Non-conformances not identified or not closed in time can have a cascading business impact across the supply chain and become a key reason of risk to productivity, lead time, and cost. Aerospace Non-conformance needs to be addressed with extreme caution as it could even cost life due to Nonconforming products in operation. These cannot be avoided but they need to be managed with mitigation plans, setting up priorities, planning, project management, and seamless communication between stakeholders [1]. Today, we live in the digital age where all conventional engineering processes are continuously automated and digitized with emerging technologies to maximize productivity and customer satisfaction. Non-conformance execution processes, workflows, and communications are potential areas that could be integrated as a web-based digital solution [2]. The paper would attempt to bring up challenges encountered by the conventional Non-conformance dispositioning processes and workflows and benefits of the Digitized framework. It would also detail all the key features of the Digital solution along with its tangible and intangible benefits to all the stakeholders by integrating workflows and taking productivity to the next level.