Applications of Artificial Intelligence in the Economy, Including Applications in Stock Trading, Market Analysis, and Risk Management

Rahmani, Amir Masoud; Rezazadeh, Bahareh; Haghparast, Majid; Chang, Wei-Che; Ting, Shen Guan

doi:10.1109/access.2023.3300036

Cited by 9 publications

(15 citation statements)

References 69 publications

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“…Figure 3 indicates that fintech companies can add value across the capital market by harnessing AI analytical techniques (Yan, 2023) that can optimize intermediary work, supply matching predictions, identify potential customers, and screen asset targets due to big data-based innovative financial industry. By harnessing big data analytics, AI-based stock trading systems predict and enhance automated stock price fluctuations, while AIbased volatility forecasting can be leveraged in risk assessment and portfolio management (Rahmani et al, 2023), increasing financial performance and profitability of efficient and productive businesses. Blockchain-based payment and corporate banking services further enterprise resource planning, AI-driven customer engagement, banking relationship digitization, inter-bank connectivity, cash management processes, treasury management systems, and cash flow forecasts, driving big data-based process automation and seamless payment experiences.…”

Section: Resultsmentioning

confidence: 99%

“…AI-driven fintech services enable error-free payment processes (Akmal et al, 2023;Osei-Assibey Bonsu et al, 2023;Upreti et al, 2023) through builtin time-tracking capabilities, automated upcoming payment reminders, and cash flow forecasting (Chen et al, 2023;Mariani et al, 2023;Singh, 2023), reducing debt-driven financial risk and optimizing prediction-based automated visual workflows and risk-based investment operations and decision-making (Gonçalves et al, 2023;Li et al, 2023;Rahmani et al, 2023). AI-built customer profiles and acquisition, facial recognition and cloud computing technologies, and decision support tools (Ben Romdhane et al, 2023;Lai et al, 2023;Yan, 2023) are decisive in payment balance checking, credit risk augmentation, insurance pricing optimization, promotion tailor-ing, and suspicious transaction detection (Khan et al, 2023;Rahmani et al, 2023;Wang et al, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Immersive virtual banking and financial technology (fintech) services optimize virtual financial planning and products (Doumpos et al, 2023;He et al, 2023a;Mirza et al, 2023a;Rabbani et al, 2023), financial data management and transaction systems (Awais et al, 2023;Babaei et al, 2023;Ha, 2023), and investment decisions in the metaverse economy through automatic data collection. Harnessing reporting quality assessment and data visualization tools, we fill the research gap in the current literature by proving that fintech services configure frictionless, instant, affordable, and flexible digital payments (Khan et al, 2023;Rahmani et al, 2023;Wang et al, 2023;Yan, 2023), AI-powered transaction screening and monitoring (Chen et al, 2023;Lai et al, 2023;Mariani et al, 2023;Singh, 2023), and cloud-based instant payment processing through digital wallets, virtual cards, credit decision automation, peer-to-peer payment networks, and money-transfer apps (Gonçalves et al, 2023;Sampat et al, 2023;Zheng et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

“…Previous literature has indicated that AI-powered mobile apps, blockchain-based payment services, and financial planning, payment automation, and budgeting tools (Akmal et al, 2023;Osei-Assibey Bonsu et al, 2023;Upreti et al, 2023;Zhao et al, 2023) optimize customized credit products in terms of automated debt payments, refinancing loans, and credit score building (Jareño & Yousaf, 2023;Lai et al, 2023;Mirza et al, 2023b;Su & Xu, 2023), driving operational excellence, providing personalized feedback and targeted coaching (Ben Romdhane et al, 2023;Gonçalves et al, 2023;Li et al, 2023;Rahmani et al, 2023), and delivering increased customer engagement, service, and satisfaction (Edo et al, 2023;He et al, 2023b;Mahmud et al, 2023). We draw systematic comparisons and specify the need to focus on how artificial IoT-based fintech and generative AI algorithms enable banking operations and loan application automatic approval through multi-layer transaction monitoring for instant payments, automation and digitization services, and digital wallets (Caragea et al, 2023;Jareño & Yousaf, 2023;Jiang, 2023;Qiu et al, 2023), leading to hyperpersonalized financial services and products (Awais et al, 2023;Babaei et al, 2023;Ha, 2023) with lowered operational costs and increased sustainable value creation.…”

Section: Introductionmentioning

confidence: 99%

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Big data management algorithms in artificial Internet of Things-based fintech

Andronie,

Iatagan,

Uță

et al. 2023

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Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose of the article: We aim to show that fintech can decrease transaction expenses and consolidates firm stock liquidity, enabling excess leverage decrease and cutting down information asymmetry and transaction expenses across capital markets. AI- and IoT-based fintechs enable immersive and collaborative financial transactions, purchases, and investments in relation to payment tokens and metaverse wallets, managing financial data, infrastructure, and value exchange across shared interactive virtual 3D and simulated digital environments. Methods: AMSTAR is a comprehensive critical measurement tool harnessed in systematic review methodological quality evaluation, DistillerSR is harnessed in producing accurate and transparent evidence-based research through literature review stage automation, MMAT appraises and describes study checklist across systematic mixed studies reviews in terms of content validity and methodological quality predictors, Rayyan is a responsive and intuitive knowledge synthesis tool and cloud-based architecture for article inclusion and exclusion suggestions, and ROBIS appraises systematic review bias risk in relation to relevance and concerns. As a reporting quality assessment tool, the PRISMA checklist and flow diagram, generated by a Shiny App, was used. As bibliometric visualization and construction tools for large datasets and networks, Dimensions and VOSviewer were leveraged. Search terms were “fintech” + “artificial intelligence”, “big data management algorithms”, and “Internet of Things”, search period was June 2023, published research inspected was 2023, and selected sources were 35 out of 188. Findings & value added: The growing volume of financial products and optimized operational performance of financial industries generated by fintech can provide firms with multifarious financing options quickly. Big data-driven fintech innovations are pivotal in banking and capital markets in relation to financial institution operational efficiency. Through data-driven technological and process innovation capabilities, AI system-based businesses can further automated services.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Big data management algorithms in artificial Internet of Things-based fintech

Andronie,

Iatagan,

Uță

et al. 2023

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“…Patient Interaction, Clinical Documentation [110] Voice Commands, In-Car Assistance [111] Chatbots, Customer Service [112] Sentiment Analysis, Automated Customer Support [113] Predictive Analytics Disease Prediction, Treatment Personalization [114] Predictive Maintenance, Design Optimization [115] Sales Forecasting, Stock Optimization [116] Risk Assessment, Algorithmic Trading [117] Robotics Surgical Assistance, Patient Care Robotics [118] Manufacturing Automation, Quality Control [119] Warehouse Automation, In-Store Robotics [120] Process Automation, Compliance Monitoring [121]…”

Section: Applications Of Aicasmentioning

confidence: 99%

Advancements in Artificial Intelligence Circuits and Systems (AICAS)

Miller,

Durlik,

Kostecka

et al. 2023

Electronics

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In the rapidly evolving landscape of electronics, Artificial Intelligence Circuits and Systems (AICAS) stand out as a groundbreaking frontier. This review provides an exhaustive examination of the advancements in AICAS, tracing its development from inception to its modern-day applications. Beginning with the foundational principles that underpin AICAS, we delve into the state-of-the-art architectures and design paradigms that are propelling the field forward. This review also sheds light on the multifaceted applications of AICAS, from optimizing energy efficiency in electronic devices to empowering next-generation cognitive computing systems. Key challenges, such as scalability and robustness, are discussed in depth, along with potential solutions and emerging trends that promise to shape the future of AICAS. By offering a comprehensive overview of the current state and potential trajectory of AICAS, this review serves as a valuable resource for researchers, engineers, and industry professionals looking to harness the power of AI in electronics.

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