Sketching an AI Marketplace: Tech, Economic, and Regulatory Aspects

Kumar, Abhishek; Finley, Benjamin; Braud, Tristan; Tarkoma, Sasu; Hui, Pan

doi:10.1109/access.2021.3050929

Cited by 21 publications

(11 citation statements)

References 47 publications

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“…Dengan melakukan strategi pemasaran dan media yang cepat dan tepat ketika digunakan, bisa dapat meraih pasar yang dituju sehingga volume penjualan selalu meningkat [29]. Dari beberapa pendapat tersebut dapat diketahui bahwa Volume penjualan merupakan hasil akhir dari proses yang dicapai perusahaan, volume penjualan dapat dilihat berdasarkan hasil penjualan produk dari perusahaan, dan volume penjualan dihitung dari keseluruhan pendapatan perusahaan [30]. Dari semua uraian diatas yang menjadi objek penelitiannya adalah Volume Penjualan dan jumlah kunjungan konsumen di Mikayla Shop dengan memanfaatkan Marketplace media belanja online Shopee dari bulan Januari sampai Desember 2022 yang disajikan pada Tabel 1 dan Tabel 2.…”

Section: Gambar 1 Platform E-commerce Pilihan Konsumen Tahun 2022unclassified

Pemanfaatan Marketplace Shopee dalam Peningkatan Volume Penjualan Jaket Hoodie Toko Mikayla Shop

Amelia

Sudrartono

2023

INFEB

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This research was conducted to find out the problem of decreasing sales volume that occurred at the Mikayla Shop Store in 2022 by making several efforts by carrying out effective and efficient marketing strategies and implementing even better utilization of the marketplace. A descriptive qualitative method with which to do observations and interviews with the owner of the Mikayla Shop Store, to find out in more detail what problems are being faced, and in the end researcher will provide and explain what efforts the owner should make. The results of the study stated that the use of the right marketing strategy and an application of effective utilization of the shopee marketplace carried out by the Mikayla Shop Store could increase sales volume in January 2023 with the percentage of sales increasing by 5.45% from December 2022. The results of the research conducted there are problems faced by the owner, namely a lack of understanding in carrying out marketing strategies to compete with others such as a lack of promotion on social media, and not making good use of marketplace features, therefore owners must be able to be consistent in promoting on social media and using marketplace features shop is even better.

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Section: Gambar 1 Platform E-commerce Pilihan Konsumen Tahun 2022unclassified

Pemanfaatan Marketplace Shopee dalam Peningkatan Volume Penjualan Jaket Hoodie Toko Mikayla Shop

Amelia

Sudrartono

2023

INFEB

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“…The review highlighted the presence of a sophisticated technical stack, which produced promising but non-generalizable results with privacy, legal, cultural, and ethical challenges [143]. Therefore future studies should:…”

Section: Future Directionsmentioning

confidence: 99%

The Role of Intelligent Technologies in Early Detection of Autism Spectrum Disorder (ASD): A Scoping Review

2022

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Background: Two-year delay is reported between the first developmental concern raised by the parents and the diagnosis of ASD (Autism Spectrum Disorder), delaying the start of early intervention programs most beneficial within the first three years. Aim: Evaluate the role of technology in ASD detection by answering four research questions analyzing 1) evolution of technology, 2) use of various bio-behavioral data sources, 3) demographic categories, databases, controls, comparators, and assessment instruments, and 4) data collection, processing, and outcomes of the technology-based methods in ASD detection. Methods: Scoping review included behavioral-based ASD screening and diagnostic studies, published between 1st January 2011 to 31st December 2021 in PUBMED, SCOPUS, and IEEE Xplore databases for children under six years. The studies were assessed using the Critical Appraisal Skills Programm (CASP) and the PRISMA scoping review checklist (PRISMA-ScR). Results: The shortlisted 35 studies were categorized into seven bio-behavioral categories. The review suggested extensive use of machine learning (ML) and Deep Learning (DL) technologies with multimodal structured and unstructured data to detect infants at risk of ASD and Other developmental delays (ODD) as early as 9 to 12 months. However, the review reported various internal and external validity threats. Conclusion: Technology can significantly improve the current ASD detection process. The validation and adoption of technology can be fast-tracked by 1) designing robust study protocols, 2) executing multicultural field trials, 3) standardizing datasets, data quality and feature engineering methods, 4) recruiting statistically significant participants from ASD, typically developing (TD) and other developmental disorders (ODD) groups to ensure technological generalization, validation, and adoption outside laboratory settings.

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“…To discuss emerging AI application in radiologic imaging, including AI/ML devices for automatic diagnostic FDA facilitated workshop on the Evolving Role of AI in Radiological Imaging in February 2020. The first cardiovascular ultrasonography device to exhort users using AI was announced on 7 February 2020 by the FDA which is endorsed by the De Novo route [72]. AI/ML program of the FDA CDRH conducts regulatory research, ensuring patients access to safe, efficient medical equipment through AI/ML collaboration with the Office of Science and Engineering Laboratories of CDRH [73].…”

Section: Regulation In United Statesmentioning

confidence: 99%

“…The International Medical Device Regulators Forum has characterized AI-based innovation comprise the concept "software as a medical device" (SaMD), and the FDA has placed a healthcare digital transformation strategy by consolidating AI innovation which format the idea to SaMD [74]. In Jan 2021 FDA has issued the first Medical Device Action Plan for AI/ML from the agency with addition to previously published "Proposed Regulatory Framework for Modifications to AI/ML-Based Software as a Medical Device (SaMD) -Discussion Paper and Request for Feedback" where Good Machine Learning Practices was the main focus for implementation [72]. The FDA announces the software precertification pilot program as a selfadministrative approach that consolidates a legal framework ideally equipped for the evaluation of software innovations [75].…”

Section: Regulation In United Statesmentioning

confidence: 99%

Health in Digital World: A Regulatory Overview in United States

Mishra

Gowrav

Balamuralidhara

et al. 2021

JPRI

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Adaptation towards digitalization in pharmaceuticals leads to the utilization and development of Artificial Intelligence (AI). Significantly it is reducing human workload with the help of an algorithm. Already AI is acting as a key in clinical trial, health care, quality management, manufacturing, product development, and management. Top pharmaceutical companies have adopted AI in different applications within the pharma sector. Different AI models like Machine learning, Artificial Neural Network, Deep Learning, robotics, and Natural Language Processing are being used in pharmaceuticals and healthcare systems. The Worldwide AI market is growing remarkably with a compound annual growth rate of 49.6% and is expected to reach $18,119 million by 2025. So, for better regulation, concerning safety, privacy regulatory strategy is heading towards a better framework. Different regulatory authorities like China, Europe, and United States (US) have adopted AI for economic and policy aspects. Emerging countries are using these tools for administrative work. US has begun implementing frameworks for AI adaptation, research, and development. The AI policy strategy started in 2016 with a series of workshops conducted under the Obama administration. Federal Food and Drug Administration (FDA) has also published draft guidance for regulatory oversight of AI and Machine Learning. In 2021 FDA published a draft regulation for software as a medical device. This review article provides a snapshot of AI implementation in pharmaceuticals and health care with the regulatory approach in the US.

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Sketching an AI Marketplace: Tech, Economic, and Regulatory Aspects

Cited by 21 publications

References 47 publications

Pemanfaatan Marketplace Shopee dalam Peningkatan Volume Penjualan Jaket Hoodie Toko Mikayla Shop

Pemanfaatan Marketplace Shopee dalam Peningkatan Volume Penjualan Jaket Hoodie Toko Mikayla Shop

The Role of Intelligent Technologies in Early Detection of Autism Spectrum Disorder (ASD): A Scoping Review

Health in Digital World: A Regulatory Overview in United States

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