Faith Victoria Emmanuel

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Verified

Faith verified their affiliation via an institutional email.

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• Bachelor of Science
• Student at Obafemi Awolowo University

The quantification of biologic therapeutics presents significant challenges due to the structural complexity, heterogeneity, and sensitivity of these macromolecules. Unlike small-molecule drugs, biologics-such as monoclonal antibodies, recombinant proteins, and fusion constructs-require specialized techniques for accurate measurement, which must co...

The regulatory approval process for modified-release drug formulations is often hindered by the need for extensive clinical trials, which can be both time-consuming and costly. In this context, in vivo-in vitro correlation (IVIVC) has emerged as a critical tool for predicting the in vivo performance of modified-release formulations using in vitro d...

The rapid growth of the biopharmaceutical industry has led to an increasing demand for rigorous and reliable analytical methods to ensure the purity and consistency of biologics. Biologic drugs, such as monoclonal antibodies (mAbs), recombinant proteins, and gene therapies, are inherently complex and require specialized analytical techniques for th...

The rapid growth of the biopharmaceutical industry has led to an increasing demand for rigorous and reliable analytical methods to ensure the purity and consistency of biologics. Biologic drugs, such as monoclonal antibodies (mAbs), recombinant proteins, and gene therapies, are inherently complex and require specialized analytical techniques for th...

As enterprises increasingly adopt multi-cloud infrastructures to enhance flexibility, scalability, and redundancy, the complexity of managing resources across heterogeneous cloud platforms grows significantly. Traditional resource scheduling methods often fall short in optimizing for both performance and cost due to their static nature and inabilit...

Renal drug excretion operates as a vital factor for determining therapeutic agent pharmacokinetic properties and treatment effectiveness. Endogenous compounds together with exogenous substances that include medications and their metabolites have kidneys as their main elimination pathway. Drug elimination through the kidney functions under the influ...

Predicting individual drug responses is a key goal of precision medicine, aiming to optimize therapeutic efficacy and reduce adverse effects. With the growing availability of genomic data, artificial intelligence (AI) has emerged as a powerful tool to uncover patterns linking genetic variations to drug responses. This article explores how AI techni...

Accurate dense mapping in unstructured environments remains a critical challenge in fields such as robotics, augmented reality, and autonomous navigation. A key component in constructing high-fidelity maps is the precise estimation of surface normal vectors. However, traditional normal vector estimation methods often struggle with noise, irregular...

Augmented Reality (AR) measurement systems have introduced transformative capabilities in the construction and design sectors by enabling real-time dimensioning and spatial analysis. However, AR-based tools often suffer from inherent limitations such as sensor drift, visual misalignment, and environmental interference, which can lead to measurement...

As digital financial services increasingly migrate to cloud-native architectures, ensuring the real-time health and reliability of payment systems has become paramount. Cloud-based payment infrastructures must maintain uninterrupted service while processing millions of transactions per day across dynamic, distributed environments. Traditional monit...

As digital wallet platforms become the cornerstone of modern financial transactions, ensuring their resilience against outages, service failures, and cyber threats is paramount. Traditional incident recovery mechanisms are often manual, slow, and reactive, making them inadequate for the real-time demands of digital finance. This paper presents an A...

Modern payment systems are mission-critical infrastructures that must operate with high availability, security, and speed. Even minimal downtime can result in significant financial losses, regulatory consequences, and user dissatisfaction. Traditional reactive maintenance approaches-based on threshold alerts or periodic checks-are insufficient to m...

The increasing digitization of financial infrastructures has led to the evolution of cyber-physical payment systems (CPPS), where physical hardware integrates with digital transaction networks to facilitate real-time financial exchange. As dependency on these systems grows, so does the threat of cyber-attacks, software corruption, hardware failure,...

Peer-to-peer (P2P) payment systems are increasingly relied upon for seamless, real-time fund transfers across both personal and commercial channels. However, these systems are vulnerable to service interruptions, inconsistencies, and transaction failures due to network volatility, system overload, or third-party integration faults. Traditional appr...

The complexity of modern financial systems has made them increasingly vulnerable to shocks, inefficiencies, and systemic failures. In response, emerging technologies are now being leveraged to create more resilient and adaptive financial infrastructures. This paper introduces a novel framework for applying artificial intelligence (AI)-enabled digit...

In architectural design, remote collaboration is becoming increasingly common due to the flexibility it offers, but it introduces challenges in terms of effective communication and interaction with 3D models. MultiUser Augmented Reality (MUAR) systems have shown significant promise in overcoming these challenges by enabling immersive, real-time, co...

Augmented Reality (AR) rulers have enhanced digital measurement applications by overlaying virtual measurement scales onto real-world objects. However, conventional AR rulers primarily rely on visual feedback, which may not be suitable for users in dynamic or accessibility-sensitive environments. This study explores the integration of haptic and au...

The integration of multimodal interaction strategies in augmented measurement tools has revolutionized the way users interact with digital measuring systems. Traditional measurement tools often require manual handling, which can be inefficient in complex tasks or inaccessible to individuals with disabilities. This study explores the implementation...

The integration of augmented reality (AR) into measurement tools has introduced new possibilities for enhanced precision, interactivity, and efficiency in various fields such as engineering, architecture, and healthcare. However, the usability and effectiveness of AR measurement tools largely depend on their ergonomic design, which influences user...

The fast advancement of artificial intelligence systems enabled major progress in content generation while marketing automation tools changed business communication approaches toward their target viewers. The advanced machine learning systems GPT and BERT enable marketers to develop high-quality personalized extensive content with diminished human...

Human-Centered Design (HCD) has become a critical approach in the development of multimodal 3D modeling systems, as these technologies become increasingly central to industries such as architecture, gaming, engineering, and healthcare. Multimodal systems leverage diverse input methods, including gestures, voice commands, haptic feedback, and tradit...

The implementation of Business Intelligence (BI) systems encounters issues with latency as well as inefficiency and difficult scalability. Business Intelligence is improved by combining the Edge Computing, AI, and Big Data Analytics since they promote its real-time, automated, and superior analysis. The enhanced efficiency in Edge Computing is achi...

AI and blockchain adaptation in the context of business may be considered an innovative and valuable development that can improve business climate and operations in several areas. AI is the art of analysing huge amount of data and coming up with a decision-making process, automation and better prediction while Blockchain is the technology of the di...

As enterprises increasingly adopt multi-cloud strategies to leverage the strengths of diverse cloud service providers, the need for secure and compliant orchestration across these environments has become paramount. Traditional governance mechanisms fall short in addressing the dynamic, distributed, and heterogeneous nature of multi-cloud operations...

Extreme environments themselves present big challenges for drilling, with temperature variations, high pressures and highly corrosive chemicals. The key solution on how to enhance drilling efficiency and at the same time reduce operational risks within drilling and production are polymer based additives. This work studies the effectiveness of polym...

The exploration and exploitation of Arctic resources necessitate sustainable and environmentally conscious approaches due to the region's fragile ecosystem and extreme conditions. This study examines eco-friendly friction reduction solutions (FRSs) designed to enhance drilling efficiency while minimizing environmental impact in harsh Arctic environ...

Driven by increasing complexity in wellbore profiles, the design and development of low-friction rotary steerable systems (RSS) have emerged as a transformational approach in drilling technology. The objective of these systems is to increase the efficiency, accuracy, and durability of drilling operations in unconventional reservoirs. Innovative mat...

Deep boreholes present geothermal drilling conditions characterized as hard and abrasive ground, high temperatures and high pressures. Currently, geothermal-specific measurement-while-drilling technology enables co-drilling slimholes to as small as 8 inch diameter. Following rotary drilling, we tripping out (drilling from the bottom up) to continue...

In the era of smart cities, the need for efficient, scalable, and real-time decision-making systems is more pressing than ever. This research explores the integration of Artificial Intelligence (AI) with serverless computing to optimize data processing and management for urban environments. By leveraging AI models within serverless architectures, w...

The increasing adoption of multi-cloud strategies has created a demand for innovative solutions to ensure seamless scalability and interoperability across diverse cloud platforms. This research investigates the integration of serverless architectures within multi-cloud environments, emphasizing their potential to enable high scalability, cost effic...

Serverless computing offers a promising approach for achieving scalability and cost efficiency in an increasing number of applications. In practice, however, it is hard to adopt in unregulated but privacy afflicting industries (finance, healthcare) due to the need to address data compliance, security, and governance. In this research we report on s...

With the growing demand for smart surveillance systems, a demand has arisen for real time video analytics so as to improve security and decision making. Military video data processing utilizing serverless edge computing offers a cost efficient and scalable solution in which video data is processed locally on edge devices to reduce latency and reduc...

However, given the growth of data driven applications across distributed networks, privacy preserving data processing is becoming more critical. While scalable and cost effective data computation have become feasible through serverless computing framework, adding robust privacy mechanisms is not straightforward within these architectures. This work...

Disaster recovery systems play a pivotal role in ensuring the resilience and continuity of critical applications during unforeseen events. This research explores the application of serverless computing as a robust solution for adaptive scalability in disaster recovery protocols. By leveraging serverless architectures, this approach eliminates the l...

This study examines the fundamental ethical tension between transparency and privacy in blockchain-based auditing systems. While blockchain's immutable ledger provides unprecedented audit transparency, it simultaneously creates significant privacy challenges for organizations and individuals. Through a philosophical ethics framework combined with c...

The advent of blockchain technology has revolutionized financial reporting by enabling real-time, immutable, and transparent data recording. This study explores how blockchain facilitates instant management accounting and its subsequent impact on dynamic decision-making within organizations. Traditional accounting systems often suffer from delays,...

Smart contracts, self-executing agreements powered by blockchain technology, are transforming internal audits by automating compliance checks, transaction verification, and fraud detection. This study examines how smart contracts enhance audit efficiency by reducing delays, minimizing errors, and lowering costs while addressing the critical need fo...

This study examines the synergistic potential of blockchain technology and machine learning in enhancing fraud detection capabilities within management accounting systems. By combining blockchain's immutable transaction records with machine learning's predictive analytics, we propose a novel framework for real-time financial anomaly detection. Usin...

This study investigates how blockchain technology can revolutionize carbon accounting by addressing critical challenges in sustainability reporting, including data opacity, verification inefficiencies, and greenwashing risks. We develop a conceptual framework for blockchain-based carbon accounting that leverages distributed ledger technology to cre...

Blockchain technology holds transformative potential for Small and Medium Enterprises (SMEs), offering benefits such as enhanced supply chain transparency, streamlined payments, and improved auditability. However, adoption rates remain low due to significant barriers including cost, complexity, and regulatory uncertainty. This study identifies the...

Collaborative design processes in architecture are increasingly incorporating augmented reality (AR) to enable real-time, multiuser interactions within immersive digital environments. These AR-driven collaborative platforms facilitate shared spatial understanding and synchronized design decisions, bridging the gap between architects, clients, and e...

Drilling operations in general, maybe in oil and gas industry in particular give rise to large volumes of waste products such as drilling fluids, cuttings, among others. These wastes are also dangerous to the environment as they may pollute ground water, affect soil and also disrupt ecosystems. Energy requirement grows daily while the concern for t...

Autonomous performance faces substantial obstacles regarding safety, accountability, and public trust because of its inability to be interpreted. Interpretability is a crucial factor in safety-critical domains because it allows decision-making explanations from models operating autonomous driving systems that control vehicles. The research investig...

Autonomous vehicles (AVs) demand sophisticated decision-making systems capable of operating in complex, uncertain, and dynamic environments. While traditional control theory offers mathematical rigor, stability, and interpretability, neural networks provide powerful data-driven adaptability and learning capabilities. This paper investigates the eme...

As autonomous vehicles (AVs) increasingly integrate into modern transportation systems, the ethical implications and potential biases embedded in their underlying neural network models have garnered substantial attention. Neural networks-integral to perception, decision-making, and control in AVs-are often trained on large-scale datasets that may i...

Autonomous driving systems draw their perception and predictive as well as decision-making capabilities from neural networks installed in the system. These models derive their effectiveness from the standard of training data combined with its diverse content and sizable amount. The research investigates differences between training neural networks...

This paper provides an all-inclusive analysis of adversarial attacks that target neural network systems within AVs. This work provides an intricate system for categorizing these attacks through their execution environment and their goal definition together with their sensory and technological aspects. Studies of actual attacks against real systems...

In modern cloud computing infrastructures, token-based authentication systems facilitate secure and seamless access control across distributed services. While efficient, these systems remain vulnerable to misuse, replay attacks, insider threats, and compromised credentials. Traditional rule-based security monitoring often fails to detect subtle dev...

The evolution of cloud computing has fostered the adoption of multi-cloud environments, where organizations leverage services from multiple cloud providers to optimize performance, reliability, and cost-efficiency. However, this architecture introduces complex security challenges, particularly in the realm of authentication and identity management....

As organizations embrace multi-cloud strategies to optimize performance, scalability, and cost, managing identity and access securely across diverse cloud environments becomes increasingly complex. Token-based authentication mechanisms serve as the foundation of secure inter-cloud interactions. However, traditional token validation processes lack t...

The increasing reliance on token-based authentication in cloud systems has amplified concerns around token lifecycle security, including issuance, renewal, revocation, and misuse. Traditional logging mechanisms lack the immutability and transparency needed for trustworthy auditing of token-related activities. This paper introduces a blockchain-base...

Cloud-based token systems are a cornerstone of modern cloud security, offering a stateless, scalable method for authenticating users and authorizing access to resources. However, these systems are susceptible to various threats, including token misuse, impersonation, and session hijacking. Real-time anomaly detection has emerged as a promising solu...

The modern data processing industry experiences a transformation through serverless data engineering which provides adaptable and economically efficient and automated computing solutions. Organizations no longer need to manage servers under serverless computing since this infrastructure model eliminates server provisioning as well as maintenance so...

Multiuser augmented reality (AR) systems have transformed architectural visualization by enabling real-time, shared interactions within spatially projected environments. Effective collaboration in these settings depends on structured interaction models that support communication, coordination, and shared spatial understanding. This study explores t...

The emerging serverless data warehousing model applies serverless computing concepts to build data management solutions that provide scalable and inexpensive automated solutions for cloud-based data storage. The main difference of serverless architecture from data warehousing methods is its automatic infrastructure removal and its adjustable cost s...

In remote architectural reviews, real-time collaboration through augmented reality (AR) requires intuitive and context-rich representations of users. Context-aware avatars serve as digital embodiments of participants, facilitating spatial awareness, interaction clarity, and engagement within AR environments. This paper explores the design and imple...

King-sized cloud data collections demand pipeline development for efficient management of massive data sets. Standard data pipeline constructs encounter performance and affordability and scalability deficits as part of their operational challenges. Serverless computing defines a modern operational model that enables organizations to enhance their d...

Artificial Intelligence (AI) has significantly transformed customer service by automating workflows, streamlining operations, and improving customer experiences. Pega's AI-driven workflow automation tools play a crucial role in enhancing efficiency, reducing response times, and ensuring seamless customer interactions. This study compares Pega's AI-...

The customer service landscape is undergoing a paradigm shift driven by advancements in Artificial Intelligence (AI). This research article explores how Pega's AI solutions are redefining the future of customer service through innovations in predictive analytics, hyper-personalization, and omnichannel automation. By analyzing Pega's capabilities in...

The integration of artificial intelligence (AI) with human agents in customer service is transforming the way businesses interact with customers. Pega's AI-driven solutions optimize service efficiency by automating routine tasks while enabling human agents to focus on complex customer interactions. This paper explores the role of AI-human collabora...

Natural Language Processing (NLP) is revolutionizing customer service by enabling AI-driven systems to understand, interpret, and respond to human language with greater accuracy. Pega's AI-driven customer service solutions integrate NLP to enhance automated interactions, optimize sentiment analysis, and improve customer engagement. This paper exami...

Customer retention is a critical factor in business success, and AI-driven customer service solutions have transformed how companies engage with and retain customers. Pega's AI-powered customer relationship management (CRM) solutions utilize predictive analytics, machine learning, and automation to enhance customer interactions and satisfaction. Th...

The increasing demand for efficient and personalized customer service in e-commerce has led to the widespread adoption of artificial intelligence (AI)-driven solutions. Pega's AI-powered customer service applications offer a combination of intelligent automation, real-time analytics, and personalized engagement to optimize customer interactions. Th...

AI-driven decision-making is revolutionizing customer service by enabling faster, data-driven responses and proactive issue resolution. Pega's real-time analytics leverage artificial intelligence and machine learning to analyze customer interactions, optimize case management, and enhance customer experiences. This study evaluates Pega's AI-driven d...

Artificial Intelligence (AI) has significantly transformed customer service by automating workflows, streamlining operations, and improving customer experiences. Pega's AI-driven workflow automation tools play a crucial role in enhancing efficiency, reducing response times, and ensuring seamless customer interactions. This study compares Pega's AI-...

The adoption of artificial intelligence (AI) in financial institutions has significantly enhanced customer service operations, improving efficiency, personalization, and fraud detection. Pega's AI-driven customer service solutions provide intelligent automation, real-time decision-making, and predictive analytics to enhance customer experience whil...

Artificial Intelligence (AI) has transformed customer service across industries, and financial institutions have particularly benefited from AI-driven automation, personalization, and predictive analytics. Pega's AI solutions enhance customer satisfaction by providing intelligent automation, personalized interactions, and faster resolution times, l...

The integration of artificial intelligence (AI) in customer service has transformed the way businesses interact with their clients, but it also raises significant ethical concerns. Pega's AI-driven customer service platforms provide automation, predictive analytics, and decision-making capabilities that enhance efficiency and engagement. However, i...

Multichannel customer service has become a cornerstone of modern business strategies, enabling organizations to engage customers across web, mobile, social media, and IoT platforms. This research article explores the role of Artificial Intelligence (AI) in enhancing multichannel customer service, with a focus on Pega's AI-driven solutions. By lever...

Customer service is a critical component of business operations, but it often comes with significant costs, including labor, training, and infrastructure expenses. Artificial Intelligence (AI) has emerged as a powerful tool to reduce these costs while maintaining or even improving service quality. This research article examines the role of AI in re...

The healthcare industry faces unique challenges in delivering efficient, personalized, and empathetic customer service. Artificial Intelligence (AI) has emerged as a transformative tool to address these challenges, enabling healthcare providers to streamline operations, enhance patient engagement, and improve outcomes. This research article examine...

The growing frequency and intensity of natural disasters-exacerbated by climate change-pose critical threats to the resilience of infrastructure systems, particularly concerning the risk of cascading failures. Cascading failures refer to the interdependent collapse of multiple infrastructure components, where the failure of one system (e.g., power...

The frequency and severity of disasters necessitate faster, more intelligent communication systems for crisis management and emergency coordination. Traditional communication infrastructures often fail during large-scale emergencies due to overload, misinformation, and delayed response times. Natural Language Processing (NLP), a branch of artificia...

Disasters, whether natural or human-made, pose immense challenges to governments globally, often leading to widespread devastation, significant loss of life, and long-term economic consequences. Effective disaster risk management (DRM) is essential for min imizing these impacts, and it requires decision-making systems that can both address immediat...

The accelerating frequency and severity of climate-induced disasters underscore the need for advanced monitoring systems that can detect, analyze, and predict environmental threats. Traditional climate surveillance methods often lack the scalability and adaptability required to address complex and dynamic global patterns. This paper explores the in...

As architectural design increasingly shifts to remote and collaborative formats, MultiUser Augmented Reality (MUAR) platforms have become essential tools for distributed teams. These platforms enable real-time interaction with 3D models in shared virtual environments, transcending geographical barriers. However, optimizing the user experience (UX)...

Urban environments subjected to natural or man-made disasters present substantial difficulties for emergency response systems, particularly when coordinating large-scale evacuations in rapidly deteriorating conditions. The complexity of road networks, the unpredictability of human movement, and the dynamic emergence of hazards often render conventi...

The adoption of Artificial Intelligence (AI) in customer service has transcended industry boundaries, with organizations across sectors leveraging AI-driven solutions to enhance efficiency and customer satisfaction. Pega, a leading provider of AI-powered customer service platforms, has seen widespread adoption across industries such as healthcare,...

Customer loyalty and retention are critical success factors in the highly competitive e-commerce industry. Pega's AI-driven solutions, known for their advanced automation and personalization capabilities, have emerged as a powerful tool for enhancing customer loyalty and retention. This study explores the influence of Pega's AI on these key metrics...

The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has opened new possibilities for delivering exceptional customer service experiences. Pega's AI-driven solutions, when integrated with IoT devices, enable businesses to collect real-time data, predict customer needs, and deliver proactive and personalized service. This...

In today's fast-paced digital environment, real-time decision-making is critical for delivering exceptional customer service. Pega's AI-driven solutions have emerged as a game-changer in this regard, enabling businesses to analyze data, predict customer needs, and respond to inquiries in real time. This study explores how Pega's AI enhances custome...

Natural Language Processing (NLP) has emerged as a transformative technology in the realm of artificial intelligence (AI), particularly in customer service platforms. Pega, a leading software company specializing in AI-driven solutions, has integrated NLP into its customer service platforms to enhance user experience, streamline operations, and imp...

AI-powered chatbots have redefined customer service by offering scalable, efficient, and personalized interactions. This research article conducts a comparative analysis of Pega's AI-driven chatbots and traditional customer service models, such as human-agent support and rule-based chatbots. The study evaluates key metrics including response time,...

Customer engagement is a crucial factor in business success, influencing brand loyalty, customer satisfaction, and revenue growth. Artificial Intelligence (AI) has revolutionized customer relationship management (CRM) by enhancing personalization, automating interactions, and predicting customer behaviors. This study examines how Pega's AI-driven C...

The integration of Artificial Intelligence (AI) into customer service has revolutionized the way businesses interact with their customers. This research article explores the role of AI in modern customer service, with a specific focus on Pega's AI-driven solutions and their comparison with competing platforms. The study evaluates the efficiency, sc...

The transformation of customer experience (CX) is a critical priority for businesses in service industries, driven by the need to deliver personalized, efficient, and seamless interactions. This research article explores the role of Pega's AI-driven solutions in revolutionizing customer experience across service industries. By leveraging advanced t...

Customer service efficiency is a critical factor in enhancing customer satisfaction and loyalty. Artificial Intelligence (AI) has transformed customer service by automating responses, streamlining workflows, and optimizing query resolution. This study explores the impact of Pega's AI-driven solutions on reducing customer service response times. By...

The integration of Artificial Intelligence (AI) into customer service operations has significantly enhanced operational efficiency by automating repetitive tasks, reducing response times, and improving customer satisfaction. This research article evaluates the impact of Pega's AI-driven automation solutions on operational efficiency in customer ser...

Predictive analytics plays a crucial role in modern customer service platforms by enabling businesses to anticipate customer needs and optimize service delivery. Pega, a leader in AI-driven customer relationship management (CRM), integrates predictive analytics to enhance automation, decision-making, and customer engagement. This paper explores the...

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in customer service has revolutionized how businesses interact with customers, improving efficiency and personalization. Pega, a leader in AI-driven customer relationship management (CRM), provides advanced solutions that leverage AI and ML for automated decision-making, chat...

AI-driven personalization is revolutionizing customer service by enabling businesses to tailor interactions and solutions to individual customers. Pega, a leader in AI-powered CRM, leverages machine learning and predictive analytics to enhance personalization, but it faces competition from other major players in the industry, such as Salesforce, Or...

Cost efficiency is a crucial factor in customer service management, with AI-driven solutions offering substantial savings through automation, intelligent routing, and self-service capabilities. Pega, a leader in AI-powered CRM, integrates advanced machine learning and decision automation to optimize customer interactions while reducing operational...

Hyper-personalization is revolutionizing customer engagement by leveraging artificial intelligence (AI) to deliver individualized experiences at scale. Pega's AI-driven solutions enable businesses to analyze real-time customer data, predict preferences, and provide tailored interactions across various touchpoints. This paper explores the role of Pe...

Customer service training is evolving as artificial intelligence (AI) plays an increasingly pivotal role in enhancing both employee learning and customer interactions. Pega's AI solutions enable organizations to bridge the gap between human and machine learning by providing intelligent automation, real-time guidance, and personalized training progr...

The integration of Artificial Intelligence (AI) and blockchain technology is transforming customer service operations by enhancing transparency, security, and efficiency. Pega's AI solutions drive intelligent automation and predictive decision-making, while blockchain ensures immutable and verifiable transaction records. This paper explores the int...

Customer service departments face significant challenges during peak demand periods, such as holiday seasons, promotional campaigns, or crisis situations. Managing high call volumes, ensuring fast response times, and maintaining service quality require intelligent automation and adaptive strategies. Pega's AI-driven customer service solutions lever...

The increasing complexity of modern manufacturing processes has elevated the need for advanced training methods and continuous process optimization. Traditional approaches to training and quality control often fall short in delivering the agility, precision, and interactivity required to meet today's industrial standards. Augmented Reality (AR)-dri...

Product traceability and error minimization are critical components of modern industrial manufacturing, ensuring that each item produced meets quality standards and can be tracked throughout its lifecycle. As production environments grow in complexity, traditional methods of tracking and quality inspection often struggle to keep pace with increasin...

Augmented Reality (AR) has become an essential tool in modern manufacturing, providing a new approach to quality control that improves accuracy, efficiency, and real-time decision-making. By overlaying digital information, such as measurements and error detection, onto physical objects, AR measurement systems can enhance the precision of inspection...