Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 42 - 51
Опубликована: Янв. 1, 2024
Язык: Английский
International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(3), С. 950 - 969
Опубликована: Март 28, 2024
Artificial Intelligence (AI) has emerged as a transformative force in the realm of product management, offering theoretical framework that reshapes journey from ideation to market penetration. This abstract provides comprehensive overview underpinnings and practical applications AI delineating its pivotal role across various stages lifecycle. The phase marks inception development, where serves catalyst for innovation, augmenting creativity through advanced algorithms data-driven insights. Market research validation constitute subsequent phase, empowers managers with sophisticated tools analyzing consumer trends, preferences, sentiments, thereby informing strategic decision-making processes. Prototyping represents critical stage wherein facilitates rapid iteration refinement, expediting development cycle enhancing adaptability. Leveraging machine learning algorithms, can swiftly iterate prototypes based on user feedback, ensuring alignment evolving demands. In domain design, AI-driven solutions revolutionize experience usability, leveraging natural language processing, computer vision, recommendation systems personalize interfaces cater diverse preferences. Quality assurance testing emerge imperative phases strategies optimize reliability, performance, scalability, mitigating risks associated failure overall quality. During launch enables orchestrate marketing distribution channels, maximizing penetration engagement. Predictive analytics, targeted advertising, dynamic pricing launches, competitive edge marketplace. conclusion, permeates every facet transforming traditional paradigms catalyzing innovation at By embracing AI's capabilities, navigate landscape modern markets agility, precision, foresight, driving sustained growth advantage. Keywords: AI, Product Management, Creativity, Ideation, Innovation
Язык: Английский
Процитировано
47
International Journal of Advanced Economics, Год журнала: 2024, Номер 6(6), С. 205 - 223
Опубликована: Июнь 15, 2024
The landscape of financial reporting is undergoing a profound transformation fueled by advancements in Artificial Intelligence (AI) technologies. This review explores the revolutionary impact AI on reporting, with specific focus enhancing accuracy and timeliness. AI-driven technologies such as machine learning, natural language processing, predictive analytics are reshaping traditional processes. These enable organizations to automate routine tasks, analyze vast volumes data, extract valuable insights unprecedented speed accuracy. By leveraging AI, can streamline data collection, validation, analysis, thereby reducing manual errors improving overall quality reports. One key advantages its ability identify patterns anomalies that may go unnoticed human analysts. Machine learning algorithms detect irregularities transactions, flag potential risks, enhance fraud detection capabilities, thus bolstering integrity reliability Furthermore, AI-powered processing (NLP) relevant information from unstructured sources statements, regulatory filings, news articles. analyzing textual NLP generate into market trends, competitive dynamics, developments, providing decision-makers intelligence inform decisions. In addition accuracy, plays crucial role timeliness reporting. automating time-consuming tasks entry, reconciliation, statement preparation, enables expedite process deliver stakeholders more timely manner. not only meets deadlines but also make informed decisions based up-to-date information. Moreover, facilitates real-time monitoring performance metrics, enabling proactively emerging opportunities. Predictive forecast future outcomes, anticipate changes adjust their strategies accordingly, agility responsiveness integration transforming practices, both datasets, insights, produce high-quality reports meet needs dynamic rapidly evolving business environment. As continues evolve, will become prominent, driving efficiency, transparency, accountability across ecosystem. Keywords: Intelligence, Financial Reporting, Accuracy, Timeliness, Learning.
Язык: Английский
Процитировано
17
Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 267 - 283
Опубликована: Июнь 30, 2024
This chapter investigates the synergistic potential of integrating artificial intelligence (AI) and quantum technologies to foster sustainable practices within supply chain management. With growing emphasis on environmental responsibility ethical sourcing, organizations are seeking innovative solutions optimize their chains while minimizing impact. By leveraging AI's predictive capabilities computing's computational power, this explores how can enhance decision-making processes, resource utilization promote sustainability across chains. Through case studies practical examples, demonstrates integration AI enable real-time monitoring, analytics, adaptive optimization strategies, ultimately contributing a more resilient ecosystem.
Язык: Английский
Процитировано
9
Medical Sciences, Год журнала: 2024, Номер 12(4), С. 67 - 67
Опубликована: Ноя. 17, 2024
Quantum computing (QC) represents a paradigm shift in computational power, offering unique capabilities for addressing complex problems that are infeasible classical computers. This review paper provides detailed account of the current state QC, with particular focus on its applications within medicine. It explores fundamental concepts such as qubits, superposition, and entanglement, well evolution QC from theoretical foundations to practical advancements. The covers significant milestones where has intersected medical research, including breakthroughs drug discovery, molecular modeling, genomics, diagnostics. Additionally, key quantum techniques algorithms, machine learning (QML), quantum-enhanced imaging explained, highlighting their relevance healthcare. also addresses challenges field, hardware limitations, scalability, integration clinical environments. Looking forward, discusses potential quantum–classical hybrid systems emerging innovations hardware, suggesting how these advancements may accelerate adoption research practice. By synthesizing reliable knowledge presenting it through comprehensive lens, this serves valuable reference researchers interested transformative
Язык: Английский
Процитировано
8
International Journal of Intelligence Science, Год журнала: 2025, Номер 15(01), С. 10 - 55
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Frontiers in Public Health, Год журнала: 2025, Номер 12
Опубликована: Янв. 7, 2025
Hyper-personalized medicine represents the cutting edge of healthcare, which aims to tailor treatment and prevention strategies uniquely each individual. Unlike traditional approaches, often adopt a one-size-fits-all or even broadly personalized approach based on broad genetic categories, hyper-personalized considers an individual's comprehensive health data by integrating unique biological, genetic, lifestyle, environmental influences. This method goes beyond simple profiling recognizing that outcomes are influenced complex interactions among our environment, daily routines, physiological processes responses.Central is integration lifestyle factors. Lifestyle habits, such as diet (Dalwood et al., 2020; Genel Marx Hepsomali & Groeger, 2021; Dinu 2022; Yang Sadler 2024), exercise (Chow Qiu Ross D'Onofrio 2023; Isath Mahindru Ashcroft 2024; Ponzano sleep patterns (Hepsomali Baranwal Eshera Lim Sletten Uccella, Weinberger 2023), directly impact health. Hence, understanding these factors helps interventions align with day-to-day realities Environmental factors, air quality (Cheek Markandeya Shukla Tang Abdul-Rahman Bedi Bhattacharya, climate (Coates Ebi Helldén Reismann Rocque Zhang Münzel Palmeiro-Silva exposure pollutants (Qadri Faiq, 2019; Petroni Lin Sun Xu Yu Levin Shetty Deziel Villanueva Sharma also play significant roles in determining outcomes. By continuously monitoring analyzing elements, healthcare providers can create dynamic plans adapt real-time changes. would allow for proactive measures optimized care.To enable model care, advanced technologies like quantum computing, artificial general intelligence (AGI), internet things (IoT), 6G connectivity crucial roles. Quantum computing offers ability process vast intricate datasets, those required between markers, exposures, choices, far greater speed accuracy than classical (Munshi Kumar Stefano, Ullah Garcia-Zapirain, 2024). AGI, its adaptive learning capabilities, analyze make sense this provide precise, evolving recommendations change patient's environment does (Liu Mitchell, Tu IoT devices, including wearables sensors, gather continuous from individuals, tracking physical activity, biometrics, conditions humidity (Puri Islam Mathkor Rocha Šajnović Salam, With advent connectivity, seamlessly transferred processed real time, enabling instant feedback intervention (Nayak Patgiri, Nguyen Ahad Kumar, Kaur, Mahmood Mihovska 2024).Together, form backbone model, will push medical practices highly responsive, individual-centered As advancements continue evolve, has potential fundamentally reshape offering truly support long-term well-being.
Язык: Английский
Процитировано
0
Communications in computer and information science, Год журнала: 2025, Номер unknown, С. 95 - 106
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 197 - 228
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Опубликована: Апрель 17, 2025
Язык: Английский
Процитировано
0
MethodsX, Год журнала: 2025, Номер unknown, С. 103318 - 103318
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0