Enhancing Customer Loyalty through Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies: Improving Customer Satisfaction, Engagement, Relationship, and Experience

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

In the rapidly evolving business landscape of today, nurturing customer allegiance has become a central objective for organizations aiming to maintain their competitive edge. This study examines utilization state-of-the-art technologies, such as Artificial Intelligence (AI), Internet Things (IoT), and Big Data, bolster loyalty by enhancing satisfaction, engagement, relationships, experiences. It provides comprehensive evaluation how these technologies can be integrated synergistically, highlighting individual contributions various facets allegiance. The initial section focuses on role IoT technology, emphasizing its impact gathering real-time data facilitating personalized Moreover, it delves into computing models elucidate intricate mechanisms underlying effective generated enriching interactions. subsequent highlights pivotal AI techniques in satisfaction engagement. By harnessing insights from AI, businesses customize offerings meet needs, thereby strengthening long-term relationships loyalty. Furthermore, explores fusion Blockchain with applications, shedding light potential secure transparent transactions that foster trust integration not only enriches experiences but also dependable platform cultivating lasting relationships. analysis underscores transformative influence Data technology enabling extract actionable massive datasets, development targeted strategies improved offering overview collaborative interplay between IoT, this valuable seeking leverage data-driven strengthen loyalty, overall These serve roadmap navigating complexities contemporary market enduring

Language: Английский

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Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(2), P. 898 - 898

Published: Jan. 20, 2024

Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of the components in real system has been destroyed, some anomalies appear so that can be performed before breakdown takes place. Using cutting-edge technologies like artificial intelligence (AI) enhances performance accuracy predictive systems increases their autonomy adaptability complex dynamic working environments. This paper reviews recent developments AI-based PdM, focusing on key components, trustworthiness, future trends. The state-of-the-art (SOTA) techniques, challenges, opportunities associated with PdM are first analyzed. integration AI into real-world applications, human–robot interaction, ethical issues emerging from using AI, testing validation abilities developed policies later discussed. study exhibits potential areas for research, such as digital twin, metaverse, generative collaborative robots (cobots), blockchain technology, trustworthy Industrial Internet Things (IIoT), utilizing comprehensive survey current SOTA opportunities, challenges allied PdM.

Language: Английский

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Integrating Building Information Modelling (BIM) and Artificial Intelligence (AI) for Smart Construction Schedule, Cost, Quality, and Safety Management: Challenges and Opportunities

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

In recent times, the construction industry has experienced notable progress, especially through amalgamation of Building Information Modelling (BIM) and Artificial Intelligence (AI). This integration holds significant potential for transforming management schedules, costs, quality, safety, thus amplifying overall efficiency efficacy projects. Nonetheless, merging BIM AI presents its own set challenges, comprehending these obstacles is crucial effectively implementing fostering this symbiotic relationship. research critically evaluates current challenges future scope linked to intelligent management. The primary predominantly revolve around data interoperability. systems frequently operate on different platforms structures, resulting in intricacies exchange synchronization. Additionally, concerns related privacy security pose substantial barriers utilization algorithms data, prompting worries about safeguarding misuse sensitive project information. Furthermore, proficient necessitates a thorough understanding algorithms, requiring comprehensive training skill development among professionals. context, underscores necessity framework education facilitate widespread adoption implementation AI-integrated practices sector. also promising prospects integration, highlighting improved decision-making processes, predictive analytics, real-time monitoring capabilities. It stresses significance establishing standardized protocols guidelines ensure seamless interoperability between systems. it emphasizes importance continuous address existing unlock full integrated approach

Language: Английский

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Hyper-personalization for enhancing customer loyalty and satisfaction in Customer Relationship Management (CRM) systems

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

In the dynamic realm of customer-centric business models, organizations are increasingly adopting advanced technologies and strategies to augment capabilities Customer Relationship Management (CRM) systems. This study delves into transformative concept hyper-personalization its profound impact on enhancing customer loyalty satisfaction within CRM frameworks. Key enablers artificial intelligence (AI) machine learning (ML), which play a pivotal role in this evolution. These empower systems analyse extensive datasets, extracting valuable insights individual behaviours, preferences, needs. The incorporation predictive analytics recommendation engines allows real-time customization interactions, ensuring customers receive personalized content, product recommendations, communication channels tailored their unique profiles. paper explores tools integral strategies, underscoring importance data-driven decision-making. data platforms (CDPs) highlighted as essential that unify disparate sources create comprehensive profile. Additionally, segmentation assist categorizing based diverse criteria, facilitating targeted interactions. integration these enhances ability deliver contextually relevant experiences, fostering stronger emotional connections between brands. for involve multi-faceted approach, encompassing proactive communication, marketing campaigns, adaptive journeys. evaluates effectiveness personalization, where dynamically adjust content offers seamless experience. Furthermore, examines omnichannel hyper-personalization, exploring how various touchpoints contributes cohesive journey. By embracing can cultivate enduring relationships, ultimately driving enhanced today's competitive landscape.

Language: Английский

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Sustainable tourism development using leading-edge Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR) and Virtual Reality (VR) technologies

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This research paper delves into the potential for transformation by incorporating cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR), and Virtual (VR) to foster sustainable development tourism. The contemporary tourism industry confronts unprecedented challenges, including environmental degradation, cultural disruption, socio-economic imbalances. investigation explores innovative application advanced a comprehensive solution tackle these challenges propel sector toward more future. emerges pivotal facilitator in enhancing operations decision-making processes. Leveraging predictive analytics, machine learning, natural language processing, AI contributes optimized resource allocation, personalized visitor experiences, formulation data-driven sustainability strategies. Blockchain technology, recognized its decentralized transparent nature, is utilized establish secure traceable supply chains, ensuring equitable economic distribution minimizing impact travel. (IoT) assumes central role creating intelligent interconnected ecosystems. IoT devices enable real-time monitoring conditions, empowering destination management organizations implement adaptive measures conservation. Furthermore, enhance safety satisfaction through context-aware services. (AR) offer immersive experiences that redefine how tourists interact with destinations. AR enriches historical context attractions, fostering deeper understanding appreciation local heritage. Meanwhile, VR enables virtual reducing need physical travel consequently mitigating carbon footprints. findings underscore technology-driven approach practices, long-term environmental, social, sustainability.

Language: Английский

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Blockchain and Artificial Intelligence (AI) integration for revolutionizing security and transparency in finance

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The convergence of Blockchain technology and Artificial Intelligence (AI) is exerting a transformative influence, ushering in new epoch security transparency within the financial sector. This amalgamation effectively addresses pivotal challenges faced by conventional systems, presenting inventive solutions to heighten efficiency, diminish fraud, amplify transparency. Blockchain, functioning as decentralized tamper-resistant ledger, introduces paradigm shift transactions. Its capacity establish an unalterable record transactions ensures that once data recorded, it remains impervious modification, thereby furnishing unparalleled level security. inherent attribute positions optimal choice for reinforcing systems against cyber threats fraudulent activities. On other hand, AI contributes predictive analytics, machine learning, automation forefront operations. integration finance enables real-time analysis, risk assessment, decision-making, optimizing processes elevating overall efficiency. When amalgamated with augments precision dependability data, cultivating more secure transparent ecosystem. A aspect this streamlining Know Your Customer (KYC) Anti-Money Laundering (AML) processes. nature facilitates storage customer mitigating identity theft, while algorithms adeptly analyze extensive datasets pinpoint flag suspicious not only but also adherence regulatory requirements. Smart contracts, distinctive feature automate enforce contractual agreements, diminishing reliance on intermediaries minimizing probability human error. can be seamlessly integrated into these contracts enhance their adaptability responsiveness evolving market conditions, further refining ushered all stakeholders have access singular version truth, fostering trust Furthermore, incorporation fraud detection management heightens proactive identification potential threats, safeguarding institutions clientele. As increasingly embrace integration, industry stands brink revolution safeguards existing paves way innovative efficient ecosystems.

Language: Английский

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Artificial Intelligence (AI) and Internet of Things (IoT) - based sensors for monitoring and controlling in architecture, engineering, and construction: applications, challenges, and opportunities

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The fusion of Artificial Intelligence (AI) and the Internet Things (IoT) has brought about a paradigm shift in realm architecture, engineering, construction (AEC), introducing intelligent sensing technologies that significantly enhance monitoring control. This study delves into varied applications, hurdles, prospects emerging from collaborative deployment AI IoT-based sensors within AEC domain. AI-equipped smart enable real-time structural health, energy consumption, environmental conditions both buildings infrastructure. These empower predictive maintenance, ensuring durability structures while minimizing downtime. Additionally, AI-driven analytics optimize resource allocation, improve safety protocols, streamline processes, thereby enhancing overall project efficiency. Through ongoing analysis data collected by integrated HVAC systems, elevators, lighting, maintenance teams can pre-emptively tackle potential malfunctions. Furthermore, synergy between IoT enables development with adaptive features. Sensors examine occupancy patterns, lighting preferences, temperature fluctuations play pivotal role crafting energy-efficient occupant-centric building designs. security privacy concerns associated sensor-generated give rise to critical issues necessitate robust cybersecurity measures. Interoperability challenges among diverse sensor networks platforms also present obstacles seamless integration. adoption these demands substantial investments infrastructure workforce training, requiring strategic approach for widespread acceptance. paper explores how capabilities contribute risk mitigation cost reduction across entire lifecycle. Moreover, ability collect analyze vast amounts empowers stakeholders make well-informed decisions, fostering innovation sustainability industry. By addressing underscoring benefits, it provides invaluable insights industry professionals, researchers, policymakers eager harness transformative construction.

Language: Английский

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Explainable Artificial Intelligence (XAI) Approaches for Transparency and Accountability in Financial Decision-Making

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Recently, there has been a growing trend in incorporating Artificial Intelligence (AI) into financial decision-making, prompting concerns about the transparency and accountability of these intricate systems. This study investigates impact Explainable (XAI) approaches alleviating improving decision-making processes. The paper commences by outlining current landscape AI applications finance, underscoring complex opaque nature advanced machine learning models. lack interpretability models presents significant challenge, as stakeholders, regulators, end-users often struggle to comprehend reasoning behind AI-driven decisions. opacity raises questions regarding trust, particularly critical scenarios. primary focus research centers on analysis implementation XAI techniques introduce Various methods, including rule-based systems, model-agnostic approaches, interpretable models, are scrutinized for their effectiveness producing understandable explanations explores how can be tailored meet distinct requirements domain, where is essential regulatory compliance stakeholder confidence. Moreover, delves potential mechanisms within institutions. By offering model outputs, not only enhances but also empowers professionals identify rectify biases, errors, or unethical behaviour algorithms. promoting accountability, addresses ethical facilitates responsible trustworthy deployment sector. This, turn, contributes advancement fair, reliable, secure

Language: Английский

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Integrating Building Information Modelling (BIM) with ChatGPT, Bard, and similar generative artificial intelligence in the architecture, engineering, and construction industry: applications, a novel framework, challenges, and future scope

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The architecture, engineering, and construction (AEC) sector is currently experiencing a profound shift in its paradigm through the incorporation of Building Information Modelling (BIM) advanced generative artificial intelligence (AI) technologies. This study delves into diverse applications this transformative integration, presenting pioneering framework for merging BIM with models like ChatGPT Bard. integrated approach outlined research paper has broad implications. Initially, it explores augmentation design process, where AI enhances creative input architects engineers by generating innovative alternatives rooted data. BIM's collaborative ethos extended natural language interfaces from ChatGPT, fostering seamless communication idea exchange among project stakeholders. In phase, integration streamlines real-time decision-making on-site personnel, providing AI-generated insights based on ensures heightened efficiency, cost-effectiveness, risk management. synergy between also harnessed simulation analysis, enabling predictions related to structural performance, energy environmental impact. introduces an seamlessly AI, prioritizing interoperability, data consistency, user-friendly interfaces. Designed adapt dynamic nature AEC projects, promotes continuous collaboration information exchange. It establishes standardized platform harnessing strengths both technologies, ensuring cohesive efficient workflow across lifecycle. Nevertheless, brings forth challenges, including security, ethical considerations, demand extensive computational resources. provides foundational upcoming studies industry practices, paving way more intelligent, collaborative, ecosystem.

Language: Английский

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HARMONIZING TEAMS AND REGULATIONS: STRATEGIES FOR DATA PROTECTION COMPLIANCE IN U.S. TECHNOLOGY COMPANIES

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(4), P. 824 - 838

Published: April 17, 2024

Data protection compliance is a critical issue for U.S. technology companies, especially in light of increasingly stringent regulations such as the California Consumer Privacy Act (CCPA) and General Protection Regulation (GDPR). Achieving requires harmonized approach that aligns internal teams processes with regulatory requirements. This review explores strategies companies to harmonize ensure data compliance. The first key strategy establish cross-functional team dedicated should include representatives from legal, IT, security, other relevant departments. By bringing together experts different areas, can comprehensive takes into account legal requirements, technical capabilities, organizational policies. Secondly, invest training education all employees on principles includes raising awareness about importance protection, well providing specific how handle personal accordance regulations. ensuring are informed knowledgeable reduce risk non-compliance. Another important implement privacy by design default product development business processes. means building considerations products services outset, rather than trying retrofit them later. incorporating process, their compliant protect user data. Finally, culture continuous improvement accountability when it comes regularly reviewing updating policies procedures, conducting regular audits assessments identify address gaps. making priority at levels organization, breaches non-compliance regulations. Keywords: Protection, Compliance, Strategies, Technology, Regulations.

Language: Английский

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