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Open research questions in Internet of Things and AI

55 gap statements mined from Internet of Things and AI papers in our 4.5M-paper local library, which holds 284 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

Choosing where to publish on Internet of Things and AI? See the ranked Computer Science journals.

What the literature leaves open

  • Trying to describe the mechanism of functioning of the AI models in a simple way one will be able to decrease uncertainty and establish trust among the users. Educational programs related to the use of AI-oriented security tool should also be introduced regularly in the congregation to educate the users on its benefits, limitations, and proper use.

    An Analysis of Artificial Intelligence -Driven Command and Control in Financial Security and Fraud Detection with special reference to Palghar District. · 2026 · DOI

  • The paper suggests that AI will continue to play a crucial role in E-Commerce. Future research should focus on addressing the challenges of implementing AI in E-Commerce.

    Reviewing AI Applications in E-Commerce, Digital Business Models and Reflection on the Advantages and Issues · 2026 · DOI

  • The paper identifies the need for AI in E-Commerce to enhance customer experience and business efficiency. The paper highlights the challenges of implementing AI in E-Commerce, including expensive maintenance and ethical concerns.

    Reviewing AI Applications in E-Commerce, Digital Business Models and Reflection on the Advantages and Issues · 2026 · DOI

  • Fundamental questions remain unanswered about the extent, scope, and timeline of AI's impact on our lives. Concerns arise about the potential impact on the workforce, with concerns about job redundancy and potential unjust outcomes in critical areas like employment, finance, and law enforcement.

    The Innovations and Trends of Information Technology with AI Weapons to Reassemble the Future World · 2026 · DOI

  • The sample size is limited to 110 consumers. The study only considers consumers who reside in Tirupati and the surrounding regions.

    Influence of AI-Powered Customer Support on Consumer Satisfaction and Loyalty Towards E-Commerce Sites · 2026 · DOI

  • There is a dearth of literature that explicitly studies the role played by AI-based support systems on fostering consumer loyalty. There is a lack of research on the role played by varying levels of digital literacy and awareness in influencing the adoption of AI-based support systems.

    Influence of AI-Powered Customer Support on Consumer Satisfaction and Loyalty Towards E-Commerce Sites · 2026 · DOI

  • The gap between traditional cybersecurity models and the need for more effective threat detection and response automation. The lack of understanding of the potential limitations of AI in cybersecurity.

    Adaptive Intelligence for Cyber Defense Evaluating Machine Learning Models for Real-Time Threat Detection · 2026 · DOI

  • Further investigation may include the improvement of the existing model through the integration of other renewable energy sources like solar and wind energy for greater sustainability of IoT devices. Blockchain technology could be used to ensure secure updates to federated learning models.

    Enhancing Sustainability in Green Electronics through Federated Learning for Distributed IoT Systems · 2026 · DOI

  • The paper suggests that future research should focus on the development of more effective and efficient ICT systems. The paper highlights the potential of intelligent ICT systems in various sectors, including healthcare and education. The paper suggests that future research should explore the use of cyber-physical systems, the Internet of Things (IoT), and digital twin layers.

    Recent Advances and Challenges in Intelligent ICT Systems: A Comprehensive Review · 2026 · DOI

  • The lack of a universally accepted definition of intelligence. The need for more research on the integration of AI and other advanced technologies into ICT systems.

    Recent Advances and Challenges in Intelligent ICT Systems: A Comprehensive Review · 2026 · DOI

  • Green energy technologies will focus on advanced energy storage systems, smart grids, hydrogen energy, and carbon-neutral transportation. Electric vehicles and renewable energy integration will support global sustainability initiatives. Quantum computing has the potential to revolutionize data processing, cryptography, optimization, and scientific research.

    Convergence of Green Energy, Intelligent Computing, and Advanced Engineering Systems: Emerging Trends, Challenges, and Future Directions · 2026 · DOI

  • The lack of historical data available for training AI models is a major issue. The quality of data is a major concern, with sensor readings potentially being wrong due to faulty equipment or communication errors.

    How Artificial Intelligence Is Changing the Way We Manage Power Grids and Clean Energy: A Review · 2026 · DOI

  • The study is limited to understanding the role of AI in business management using secondary data sources. The research does not involve primary data collection.

    Role of Artificial Intelligence in Business Management across Various Sectors · 2026 · DOI

  • Future research can focus on exploring the impact of AI on specific industries or sectors. Further studies can investigate the challenges and limitations of AI adoption in business management.

    Role of Artificial Intelligence in Business Management across Various Sectors · 2026 · DOI

  • The paper identifies the need for further development of full-scenario intelligent elderly care. The paper recognizes the challenges faced by AI + silver economy.

    Full-Scenario Smart Elderly Care: Exploring the Pathways of AI Empowering the Silver Economy · 2026 · DOI

  • The authors highlight the need for discussion on the status of MAAMA and the issue of fair distribution of profits generated from activities in the virtual space.

    AI in the development of digital giants MAAMA and global changes · 2026 · DOI

  • Future work in this field should strengthen hybrid intelligence. This means combining data-driven learning with physical models, semantic representations, logical rules, control theory, and domain constraints.

    Emerging Paradigms in AI, Autonomous Systems, and Intelligent Technologies: A Synthesis of the First Edition · 2026 · DOI

  • Alert fatigue is a reliability risk, where monitoring tools generate many low-value alerts. A lack of context is another reliability risk. The paper does not provide a comprehensive evaluation of AIOps implementations.

    AI-Enabled Cloud Operations for Predictive Monitoring, Automation, and Service Reliability · 2026 · DOI

  • Future research should focus on evaluating AIOps implementations comprehensively. Further studies should investigate the application of AIOps in different domains and industries.

    AI-Enabled Cloud Operations for Predictive Monitoring, Automation, and Service Reliability · 2026 · DOI

  • Data quality and the scarcity of labelled data limit supervised methods. Models trained in one setting often transfer poorly to another. The limited memory, compute, and energy of IoT devices constrain what can run at the edge.

    A Review of Artificial Intelligence and Machine Learning Applications in the Internet of Things · 2026 · DOI

  • Implementing federated learning to provide AI security with private preservation techniques. Enhancing the speed of CNN models for malware identification tasks.

    Adaptive Intelligence for Cyber Defense Evaluating Machine Learning Models for Real-Time Threat Detection · 2026 · DOI

  • Let us be frank: if we are to have any hope of an AI healthcare system that is both efficient and worthy of our trust, we have to square up with the difficult issues of data quality, privacy, ethics and interpretability. You can’t have one without the other; it is a condition for any solution you want to see gain traction in the long run.

    Artificial Intelligence-Based Healthcare Systems: A Review of Machine Learning, Deep Learning, Data Analytics, Supply Chain Management, and Electrical Engineering Technologies · 2026 · DOI

  • Examining the reliability and security of AI itself as models are given more control.

    A Review of Artificial Intelligence and Machine Learning Applications in the Internet of Things · 2026 · DOI

  • Intelligent Chatbots and Virtual Assistants AI-powered chatbots provide 24-hour customer support by answering queries, processing returns, and guiding customers through purchasing decisions. Natural Language Processing enables these systems to understand customer intent and respond accurately.

    A Study on the Use of Artificial Intelligence in E-Commerce in the Present Scenario · 2026 · DOI

  • To monitor the advanced AI spread and sustained productivity effects. To study the impact of AI on the digital economy in other countries.

    Role of Artificial Intelligence in Digital Economy · 2026 · DOI

Most-cited papers in Internet of Things and AI

Most recent work

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Open questions raised by papers listed on this page include: (1) Future research should focus on addressing the challenges of implementing AI in E-Commerce (“Reviewing AI Applications in E-Commerce, Digital Business Models and Reflection…”, 2026); (2) There is a dearth of literature that explicitly studies the role played by AI-based support systems on fostering consumer loyalty (“Influence of AI-Powered Customer Support on Consumer Satisfaction and Loyalty…”, 2026); (3) The lack of understanding of the potential limitations of AI in cybersecurity (“Adaptive Intelligence for Cyber Defense Evaluating Machine Learning Models for…”, 2026); (4) Further investigation may include the improvement of the existing model through the integration of other renewable energy sources like solar and wind energy for greater sustainability of IoT devices (“Enhancing Sustainability in Green Electronics through Federated Learning for…”, 2026); (5) The paper suggests that future research should focus on the development of more effective and efficient ICT systems (“Recent Advances and Challenges in Intelligent ICT Systems: A Comprehensive…”, 2026). 55 gap statements have been mined from Internet of Things and AI papers in our 4.5M-paper local library, which holds 284 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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