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Role of AIOPs in Health Care Units Bimalendu Pendy
International Journal of Multidisciplinary Sciences and Arts Vol. 1 No. 2 (2022): International Journal of Multidisciplinary Sciences and Arts, Article December
Publisher : Information Technology and Science (ITScience)

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Abstract

This review article discusses how Artificial Intelligence for IT Operations (AIOPs) can transform healthcare monitoring by providing healthcare professionals with real-time data insights, predictive analytics, and intelligent automation. AIOPs can be used for predictive maintenance, anomaly detection, clinical decision support, and remote patient monitoring. The implementation of AIOPs in healthcare monitoring involves data collection, data processing, real-time monitoring, predictive maintenance, clinical decision support, and remote patient monitoring. Data collection involves the use of various sources of data such as electronic health records, medical devices, and patient monitoring systems. The data collected is processed using machine learning algorithms and big data analytics to provide insights into patient health. Real-time monitoring of patient vital signs allows healthcare professionals to monitor patients remotely, reducing the need for in-person visits. AIOPs can provide clinical decision support to healthcare professionals by analyzing patient data and suggesting treatment options based on best practices and clinical guidelines. Remote patient monitoring can track vital signs, medication adherence, and other health metrics, reducing healthcare costs, improving patient outcomes, and enhancing patient experience. However, the implementation of AIOPs in healthcare monitoring also poses challenges such as data privacy and security that need to be addressed to ensure effective and ethical use of AIOPs in healthcare.
Artificial Intelligence in Health Sector of USA Bimalendu Pendy
Jurnal Indonesia Sosial Sains Vol. 4 No. 03 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i03.791

Abstract

The article describes how AI has already made a significant impact in the health sector in the US, with many promising future applications. In medical imaging, for example, AI algorithms have been developed that can detect and classify anomalies with high accuracy rates, potentially reducing the need for unnecessary biopsies or surgeries. Personalized medicine is another area where AI is being used to analyze large amounts of patient data and provide tailored treatments. AI is also being used to improve the accuracy and efficiency of electronic health records (EHRs) by automatically detecting errors and inconsistencies. In drug discovery, AI algorithms can analyze large data sets and predict which compounds are likely to be effective in treating a particular disease, potentially reducing the time and cost of drug development. In the future, AI is expected to play an even greater role in precision medicine, enabling clinicians to develop customized treatment plans based on a patient's individual genetic and medical history. AI is also being developed for use in virtual assistants, which can provide patients with personalized health advice and reminders. Clinical decision support systems are another area where AI is expected to have a significant impact, helping clinicians to make more informed decisions by analyzing patient data and providing recommendations based on the latest research and best practices. Overall, the article suggests that AI has the potential to transform healthcare by improving patient outcomes, reducing costs, and increasing access to care. However, the article also acknowledges that there are challenges to be addressed, such as ensuring the accuracy and fairness of AI algorithms and addressing privacy concerns.
Role of AI in Business Management Bimalendu Pendy
Brilliance: Research of Artificial Intelligence Vol. 3 No. 1 (2023): Brilliance: Research of Artificial Intelligence, Article Research May 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i1.2191

Abstract

The article discusses the increasing applications of AI in business management. In sales and marketing, AI-powered tools can help businesses understand customer needs, create personalized marketing campaigns, and improve customer engagement. AI is also revolutionizing supply chain management, improving efficiency, and agility by analyzing real-time data. Customer service is also transforming through AI-powered chatbots that handle routine queries, allowing human agents to focus on more complex issues. In financial analysis, AI provides accurate and timely insights into financial performance, risk management, and investment opportunities. The article also highlights the benefits of AI, including increased efficiency and productivity, improved accuracy and precision, and better customer experience. It also addresses some challenges of AI in business management, such as data quality and availability, skills and expertise, cost, ethics and bias, and integration with existing systems. Finally, it discusses the future potential of AI in business management, such as predictive analytics, personalized marketing, chatbots, and process automation.
Artificial Intelligence: The Future of Education Bimalendu Pendy
Jurnal Indonesia Sosial Sains Vol. 2 No. 11 (2021): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v2i11.801

Abstract

Artificial Intelligence (AI) has the potential to transform the way we teach and learn. In recent years, there has been a growing interest in the application of AI in education, with a range of initiatives and products emerging in the market. This review article provides an overview of the literature on the use of AI in education, focusing on the following areas: personalized learning, intelligent tutoring systems, natural language processing, gamification, and ethics.The article begins by discussing personalized learning with AI, highlighting the potential benefits of using AI to tailor learning experiences to individual students' needs and preferences. The article then explores intelligent tutoring systems, which use AI to provide students with personalized feedback and support. The use of natural language processing in education is also discussed, including the potential for AI to facilitate language learning and communication skills. The article then examines gamification and AI, discussing how gamification can be used to increase student engagement and motivation, and how AI can enhance the effectiveness of gamified learning environments. The ethical considerations of using AI in education are also discussed, including issues around privacy, bias, and transparency. the article concludes by summarizing the current trends and future directions in the use of AI in education. The potential of AI to revolutionize education is significant, but there are also challenges to be addressed. The review article highlights the need for further research to fully understand the potential of AI in education and to ensure that its use is ethical and effective. Overall, the review article suggests that AI has enormous potential to transform the future of education and highlights some of the key areas where AI is likely to have the most impact.
Harnessing Solar Cell and Radio Wave Integration: A Game-Changer for AI and Business Bimalendu Pendy
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 1 (2023): International Journal of Multidisciplinary Sciences and Arts, Article June 2023
Publisher : Information Technology and Science (ITScience)

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Abstract

Solar cells, radio waves, artificial intelligence (AI), and commerce are coming together to provide a novel combination of cutting-edge technology, wireless communication, and sustainable energy. This article examines the many facets of this integration's consequences, ranging from the fundamentals of radio waves and solar cells to the evolution of artificial intelligence and corporate processes. By fostering environmental responsibility, cutting energy costs, and improving AI-driven sustainability, the integration puts enterprises at the forefront of environmental responsibility and sustainability initiatives. Even if there are still issues with technological complexity, cost, and regulatory compliance, there are a lot of potential, including those related to smart cities, telecoms, electric cars, and energy-efficient buildings. This convergence could lead to the disruption of established sectors, a decrease in carbon emissions, and increased innovation in AI applications. Research and development to maximize productivity and investigate new market prospects, industrial upheavals, and environmental effects are some of the future directions that will be pursued. In order to accelerate innovation and adoption globally and, eventually, transform the way we communicate, generate energy, and do business in a world that is increasingly linked and sustainable, collaboration and partnerships are crucial.