Log in

Relevant bibliographies by topics / Artificial Intelligence and BIG Data

Contents

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers
Reports

Academic literature on the topic 'Artificial Intelligence and BIG Data'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Artificial Intelligence and BIG Data.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Artificial Intelligence and BIG Data"

1

Fink, Leonard. "Big Data and Artificial Intelligence." Zeitschrift für geistiges Eigentum 9, no. 3 (2017): 288. http://dx.doi.org/10.1628/186723717x15069451170874.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Nayak, BK. "Big data and artificial intelligence." Global Journal of Cataract Surgery and Research in Ophthalmology 2 (June 9, 2023): 1–2. http://dx.doi.org/10.25259/gjcsro_12_2023.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Langner, Soenke, Ebba Beller, and Felix Streckenbach. "Artificial Intelligence and Big Data." Klinische Monatsblätter für Augenheilkunde 237, no. 12 (2020): 1438–41. http://dx.doi.org/10.1055/a-1303-6482.

Full text

Abstract:

AbstractMedical images play an important role in ophthalmology and radiology. Medical image analysis has greatly benefited from the application of “deep learning” techniques in clinical and experimental radiology. Clinical applications and their relevance for radiological imaging in ophthalmology are presented.

APA, Harvard, Vancouver, ISO, and other styles

4

O'Leary, Daniel E. "Artificial Intelligence and Big Data." IEEE Intelligent Systems 28, no. 2 (2013): 96–99. http://dx.doi.org/10.1109/mis.2013.39.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Klipa, Djuro, Igor Ristić, Aleksandar Radonjić, and Ivan Scepanović. "BIG DATA AND ARTIFICIAL INTELLIGENCE." International Journal of Management Trends: Key Concepts and Research 1, no. 1 (2022): 3–14. http://dx.doi.org/10.58898/ijmt.v1i1.03-14.

Full text

Abstract:

The Big Data embodies a technology that permits the storage, processing, and management of broad and complex data sets in which traditional data processing applications are not applicable. These sets of data are usually characterized by a substantial volume of information that they carry, variety, versatility in terms of the format in which they are written, as well as a high-speed ingress which is often greater than the speed of processing. A particular challenge is the data which are coming from the Internet of Things (IoT) “world” that is constantly expanding and which already consists of s

APA, Harvard, Vancouver, ISO, and other styles

6

Kersting, Kristian, and Ulrich Meyer. "From Big Data to Big Artificial Intelligence?" KI - Künstliche Intelligenz 32, no. 1 (2018): 3–8. http://dx.doi.org/10.1007/s13218-017-0523-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Amaro Junior, Edson. "Artificial intelligence and Big Data in neurology." Arquivos de Neuro-Psiquiatria 80, no. 5 suppl 1 (2022): 342–47. http://dx.doi.org/10.1590/0004-282x-anp-2022-s139.

Full text

Abstract:

ABSTRACT Recent advances in technology have allowed us access to a multitude of datasets pertaining to various dimensions in neurology. Together with the enormous opportunities, we also face challenges related to data quality, ethics and intrinsic difficulties related to the application of data science in healthcare. In this article we will describe the main advances in the field of artificial intelligence and Big Data applied to neurology with a focus on neurosciences based on medical images. Real-World Data (RWD) and analytics related to large volumes of information will be described as well

APA, Harvard, Vancouver, ISO, and other styles

8

Rawish Siddiqui, Muhammad. "Big Data vs. Traditional Data, Data Warehousing, AI, and Beyond." Chemistry Research and Practice 1, no. 2 (2024): 01–06. https://doi.org/10.64030/3065-906x.01.02.04.

Full text

Abstract:

In the age of digital transformation, the rise of Big Data has fundamentally altered how organizations store, process, and utilize information. This whitepaper provides a comprehensive analysis comparing Big Data with traditional data systems, data warehousing, business intelligence (BI), artificial intelligence (AI), data science, and NoSQL databases. By exploring key differentiators such as volume, variety, velocity, and processing capabilities, this paper aims to shed light on how Big Data has reshaped modern technology infrastructures and its role in advancing analytics, decision-making, a

APA, Harvard, Vancouver, ISO, and other styles

9

Ontaneda, Daniel, Lindsay A. Ross, and Reinhard Hohlfeld. "MRI, Big Data, and Artificial Intelligence." Neurology 97, no. 21 (2021): 975–76. http://dx.doi.org/10.1212/wnl.0000000000012883.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Rush, Barret, David J. Stone, and Leo Anthony Celi. "From Big Data to Artificial Intelligence." Critical Care Medicine 46, no. 2 (2018): 345–46. http://dx.doi.org/10.1097/ccm.0000000000002892.

Full text

APA, Harvard, Vancouver, ISO, and other styles

More sources

Dissertations / Theses on the topic "Artificial Intelligence and BIG Data"

1

Zhu, Shuxiang. "Big Data System to Support Natural Disaster Analysis." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1592404690195316.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

SHARMA, GAURAV KUMAR. "AI & BIG DATA IN FINANCIAL SERVICES." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18335.

Full text

Abstract:

Over the past few years, technology has altered the operating psychology of companies. Artificial Intelligence (AI) is becoming increasingly important and in demand, and the financial sector is steadily turning its focus to AI. In a variety of ways, financial institutions are experimenting with and integrating technology. Artificial Intelligence is improving and becoming smarter every day. Investment management companies have embraced Artificial Intelligence at a much faster rate than other industries. This is due to the fact that the financial sector still relies heavily on human involv

APA, Harvard, Vancouver, ISO, and other styles

3

Dabor, Abdalrhman. "Big Data Models and Artificial Intelligence in COVID-19 : A Systematic Literature Review." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105036.

Full text

Abstract:

The study aims to identify the role of artificial intelligence and big data that can help us to confront the COVID-19. The study adopted the literature review methodology by reading and analyzing academic studies. This study was divided into two parts: a theoretical part that deals with the basic concepts of artificial intelligence and big data, and an analytical section that deals with reviewing and analyzing artificial intelligence and big data applications to confront COVID-19, including Contact Tracing Apps, then find the weaknesses and develop a recommendation list. The paper concludes th

APA, Harvard, Vancouver, ISO, and other styles

4

Jain, Sheenam. "Big data management using artificial intelligence in the apparel supply chain : opportunities and challenges." Thesis, Lille 1, 2020. http://www.theses.fr/2020LIL1I051.

Full text

Abstract:

L’industrie de l'habillement a bénéficié, au cours de la dernière décennie, de l'application de big data et de l'intelligence artificielle pour résoudre divers problèmes commerciaux. Face à la concurrence accrue sur le marché et aux attentes des clients en matière de personnalisation, ces industriels sont en permanence à la recherche des moyens d'améliorer leurs stratégies commerciales afin d'accroître leur rapidité et leur rentabilité. A cet égard, les solutions de gestion de big data offrent aux enseignes de la distribution textile la possibilité d'explorer leur chaîne d'approvisionnement et

APA, Harvard, Vancouver, ISO, and other styles

5

COSTA, PIETRO. "Human-data experience design : progettare con i personal data." Doctoral thesis, Università IUAV di Venezia, 2015. http://hdl.handle.net/11578/278686.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

An, Yinan. "Building Smart Cities and Intelligent Societies in Australia with the Aid of Internet of Things, Big Data and Artificial Intelligence." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23029.

Full text

Abstract:

Countries around the world are facing urban planning challenges in fast-growing areas. As a developed country, Australia has a sound social system, with laws, rules and regulations. Rapid growth has brought new development opportunities, but also accompanied by serious social planning and decision-making issues. In some fast-growing areas, investments for infrastructure cannot keep up with the rapid population growth due to inaccurate data and other factors. As a result, sometimes it’s becoming very hard and challenging for the government to make the best decision for investments in order to

APA, Harvard, Vancouver, ISO, and other styles

7

Evett, Chantal. "What are the Potential Impacts of Big Data, Artificial Intelligence and Machine Learning on the Auditing Profession?" Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1642.

Full text

Abstract:

To maintain public confidence in the financial system, it is essential that most financial fraud is prevented and that incidents of fraud are detected and punished. The responsibility of uncovering creatively implemented fraud is placed, in a large part, on auditors. Recent advancements in technology are helping auditors turn the tide against fraudsters. Big Data, made possible by the proliferation, widespread availability and amalgamation of diverse digital data sets, has become an important driver of technological change. Big Data analytics are already transforming the traditional audit. Sam

APA, Harvard, Vancouver, ISO, and other styles

8

Hultgren, Frida, and Josefine Nyberg. "Digitalisering och kunskapshantering : En studie av redovisningsbranschen." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414512.

Full text

Abstract:

Digital tools like Big data and Artificial Intelligence will have a more important element in the accounting industry and in order to utilize the tools in the organization, employees need to develop their knowledge in order to interpret and analyze information. In the study we investigate how organizations work with knowledge management in regards to how digitalisation affects the industry. The knowledge that exists in the organization can be divided into two dimensions; tacit and explicit knowledge. The dimensions are used to identify how organizations utilize the knowledge that exists in org

APA, Harvard, Vancouver, ISO, and other styles

9

Benamara, Issam. "Artificial intelligence for the configuration and optimization of digital advertising campaigns." Electronic Thesis or Diss., Paris 13, 2024. http://www.theses.fr/2024PA131029.

Full text

Abstract:

Avec l'évolution du marketing moderne, la publicité numérique est devenue un élément central, permettant aux entreprises d'atteindre des audiences plus larges et diversifiées avec une précision inédite. Les plateformes de publicité numérique offrent des avantages comme des coûts contrôlables, un ciblage précis et la mesurabilité des performances. Cependant, la complexité croissante de ces écosystèmes pose des défis majeurs pour l'optimisation des campagnes. Les méthodes traditionnelles, dépendantes de l'expertise humaine, deviennent insuffisantes face à cette complexité. D'où une dépendance ac

APA, Harvard, Vancouver, ISO, and other styles

10

黎浩然 and Ho-yin Albert Lai. "Artificial intelligence based thermal comfort control with CFD modelling." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B3122278X.

Full text

APA, Harvard, Vancouver, ISO, and other styles

More sources

Books on the topic "Artificial Intelligence and BIG Data"

1

Iafrate, Fernando. Artificial Intelligence and Big Data. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119426653.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Goyal, Vikram, Naveen Kumar, Sourav S. Bhowmick, Pawan Goyal, Navneet Goyal, and Dhruv Kumar, eds. Big Data and Artificial Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49601-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Dasgupta, Anirban, Rage Uday Kiran, Radwa El Shawi, Satish Srirama, and Mainak Adhikari, eds. Big Data and Artificial Intelligence. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81821-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Dang, Ngoc Hoang Thanh, Yu-Dong Zhang, João Manuel R. S. Tavares, and Bo-Hao Chen, eds. Artificial Intelligence in Data and Big Data Processing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97610-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Steland, Ansgar, and Kwok-Leung Tsui, eds. Artificial Intelligence, Big Data and Data Science in Statistics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07155-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Choi, Paul Moon Sub, and Seth H. Huang, eds. Fintech with Artificial Intelligence, Big Data, and Blockchain. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6137-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Saxena, Ankur, Nicolas Brault, and Shazia Rashid. Big Data and Artificial Intelligence for Healthcare Applications. Edited by Ankur Saxena, Nicolas Brault, and Shazia Rashid. CRC Press, 2021. http://dx.doi.org/10.1201/9781003093770.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Soldatos, John, and Dimosthenis Kyriazis, eds. Big Data and Artificial Intelligence in Digital Finance. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94590-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Belaqziz, Salwa, Salma El Hajjami, Hicham Amellal, et al. Smart Applications of Artificial Intelligence and Big Data. CRC Press, 2025. https://doi.org/10.1201/9781032664293.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Tripathi, Gaurav, Achala Shakya, Shruti Kanga, Suraj Kumar Singh, and Praveen Kumar Rai, eds. Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1685-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

More sources

Book chapters on the topic "Artificial Intelligence and BIG Data"

1

Torra, Vicenç, Alexander Karlsson, H. Joe Steinhauer, and Stefan Berglund. "Artificial Intelligence." In Studies in Big Data. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97556-6_2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Wang, Liang, and Jianxin Zhao. "Artificial Intelligence." In Studies in Big Data. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55885-6_6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Batarseh, Feras A. "Artificial Intelligence." In Encyclopedia of Big Data. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_225.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Batarseh, Feras A. "Artificial Intelligence." In Encyclopedia of Big Data. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32001-4_225-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Holm, Jon, Denis Newman-Griffis, and Gustav Jakob Petersson. "Big Data for Big Investments." In Artificial Intelligence and Evaluation. Routledge, 2024. http://dx.doi.org/10.4324/9781003512493-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Saraff, Sweta. "AI and Big Data." In Artificial Intelligence (AI). CRC Press, 2021. http://dx.doi.org/10.1201/9781003005629-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Corea, Francesco. "Introduction to Artificial Intelligence." In Studies in Big Data. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04468-8_3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Ghosh, Moumita, and A. Thirugnanam. "Introduction to Artificial Intelligence." In Studies in Big Data. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0415-7_2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Muthukrishnan, Sundaresan, and Boopathy Duraisamy. "Blockchain Technologies and Artificial Intelligence." In Studies in Big Data. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8775-3_12.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Majumder, Soumi, and Nilanjan Dey. "Artificial Intelligence and Knowledge Management." In Studies in Big Data. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0316-8_5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Artificial Intelligence and BIG Data"

1

Cong, Huiying. "Hotel Intelligent Management System Based on Artificial Intelligence Technology." In 2024 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC). IEEE, 2024. https://doi.org/10.1109/iiotbdsc64371.2024.00065.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Nagaraju, Sunnam, Bhavesh A. Lakhani, Y. L. Malathi Latha, Gnaneswari Bodana, Malisetty Venkata Suryanarayana, and Siva Koteswara Rao Katta. "Big Data and Artificial Intelligence Applications for Cyber Systems." In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2024. https://doi.org/10.1109/ictbig64922.2024.10911452.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Deng, Hailong. "Research on data development technology in artificial intelligence and big data." In 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology (ICCASIT). IEEE, 2024. https://doi.org/10.1109/iccasit62299.2024.10827977.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Arora, Saransh, Sunil Raj Thota, and Sandeep Gupta. "Artificial Intelligence-Driven Big Data Analytics for Business Intelligence in SaaS Products." In 2024 First International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT). IEEE, 2024. http://dx.doi.org/10.1109/ic2sdt62152.2024.10696409.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Zheng, Meng. "Intelligent Recommendation System for Online English Teaching Based on Artificial Intelligence." In 2024 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC). IEEE, 2024. https://doi.org/10.1109/iiotbdsc64371.2024.00080.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Popova, Petya, and Veselin Popov. "Artificial Intelligence and Big Data Analytics for Supply Chain Sustainability." In 2024 7th International Conference on Advanced Communication Technologies and Networking (CommNet). IEEE, 2024. https://doi.org/10.1109/commnet63022.2024.10793329.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

D, Vasanthy, and S. Venkatachalam. "Artificial Intelligence and Big Data Applications in Recruitment Process Management." In 2024 4th International Conference on Soft Computing for Security Applications (ICSCSA). IEEE, 2024. https://doi.org/10.1109/icscsa64454.2024.00018.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Zhu, Xiaohui, Chunhua Hu, and Ling Luo. "Research on Intelligent Portfolio Optimization Model Based on Big Data and Artificial Intelligence." In 2024 International Conference on Interactive Intelligent Systems and Techniques (IIST). IEEE, 2024. http://dx.doi.org/10.1109/iist62526.2024.00101.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

da Costa, Tony, and Matt Barrett. "Improving Cathodic Protection Monitoring Data in the Time of IIoT and Big Data." In CORROSION 2021. AMPP, 2021. https://doi.org/10.5006/c2021-16259.

Full text

Abstract:

ABSTRACT This paper explores the advances in remote monitoring technology and the enhancements that can be made to ensure that pipeline integrity is maximized while operational efficiencies are optimized. Specifically focusing on the data that is generated by cathodic protection and pipeline integrity monitoring devices (e.g. rectifier monitoring), this paper explores how data analytics techniques, such as artificial intelligence and machine learning algorithms, can shine a light on historically ‘dark’ data, improving pipeline integrity operations and the safety of workers and the broader publ

APA, Harvard, Vancouver, ISO, and other styles

10

Mangal, Umesh, Sandeep Mogha, and Sumit Malik. "Data-Driven Decision Making: Maximizing Insights Through Business Intelligence, Artificial Intelligence and Big Data Analytics." In 2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET). IEEE, 2024. http://dx.doi.org/10.1109/acroset62108.2024.10743399.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Artificial Intelligence and BIG Data"

1

Byrd, Lexie, Curtis Smith, Ross Kunz, et al. Big Data, Machine Learning, Artificial Intelligence [PowerPoint]. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1617329.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Cao, Larry. Handbook of Artificial Intelligence and Big Data Applications in Investments. CFA Institute, 2023. http://dx.doi.org/10.56227/23.1.5.

Full text

Abstract:

Learn how asset managers are leveraging data science to garner investment insights, build more resilient portfolios, make better trading decisions, streamline client services, develop client-centric products, and gather business intelligence.

APA, Harvard, Vancouver, ISO, and other styles

3

Daveloui, José Fernando. Redefining Teaching with Artificial Intelligence. Carver University; Universidad Autónoma de Chile, 2025. https://doi.org/10.32457/davelouis220254.

Full text

Abstract:

Four years ago, I accepted the fascinating challenge of teaching a Big Data course. The thematic proposal was intimidating, as it presented an approach devoid of "ready-to-use" tools and, instead, proposed a highly technical approach (Kumar et al., 2022). This required meticulous and mechanical practice that consisted of mastering the Linux operating system, configuring virtual machines, and installing more than half a dozen tools through command line, as well as configuring an endless list of system files (.sh, .ini, etc.). These specialized practices demand considerable time and expertise fr

APA, Harvard, Vancouver, ISO, and other styles

4

Chahal, Husanjot, Helen Toner, and Ilya Rahkovsky. Small Data's Big AI Potential. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200075.

Full text

Abstract:

Conventional wisdom suggests that cutting-edge artificial intelligence is dependent on large volumes of data. An overemphasis on “big data” ignores the existence—and underestimates the potential—of several AI approaches that do not require massive labeled datasets. This issue brief is a primer on “small data” approaches to AI. It presents exploratory findings on the current and projected progress in scientific research across these approaches, which country leads, and the major sources of funding for this research.

APA, Harvard, Vancouver, ISO, and other styles

5

Marsden, Eric, and Véronique Steyer. Artificial intelligence and safety management: an overview of key challenges. Foundation for an Industrial Safety Culture, 2025. https://doi.org/10.57071/iae290.

Full text

Abstract:

Artificial intelligence based on deep learning, along with big data analysis, has in recent years been the subject of rapid scientific and technological advances. These technologies are increasingly being integrated into various work environments with the aim of enhancing performance and productivity. This dimension of the digital transformation of businesses and regulatory authorities presents both significant opportunities and potential risks for industrial safety management practices. While there are numerous expected benefits, such as the ability to process large volumes of reliability dat

APA, Harvard, Vancouver, ISO, and other styles

6

Cathles, Alison, Claudia Suaznabar, and Fernando Vargas. The 360 on Digital Transformation in Firms in Latin America and the Caribbean. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004635.

Full text

Abstract:

Are firms in Latin America and the Caribbean lagging in terms of their adoption of digital technologies? Using the most updated and, in many cases, new data, this publication provides a 360-degree assessment on the adoption of technologies ranging from artificial intelligence, big data, and the internet of things, to “backbone” tools such as cloud computing and basic digital technologies (e.g., the percent of firms with websites). On certain dimensions, some firms in the region compare favorably with firms in OECD countries. However, in general, as with artificial intelligence and big data, th

APA, Harvard, Vancouver, ISO, and other styles

7

Brian, Dominikus. Big Data and Artificial Intelligence Driven Lifecycle Analysis and Environmental Impact Tracing of Core Minerals (Lithium, Nickel, Cobalt) for Global Energy transition. ResearchHub Technologies, Inc., 2024. http://dx.doi.org/10.55277/researchhub.v00z6ge6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Mercado Percia, Heiner. “Frases retorcidas” como indicador de malas prácticas editoriales. Journals & Authors - Libro abierto, 2023. http://dx.doi.org/10.25012/blog.06.06.2023.

Full text

Abstract:

Las “frases retorcidas” son aquellas que se usan caprichosamente en lugar de aquellas establecidas como términos fijos en una disciplina. Cabanac, Labbé y Magazinov cuentan que identificaron una serie de términos científicos estándar reemplazados por frases poco convencionales. Por ejemplo: “artificial intelligence” fue reemplazada por “counterfeit consciousness”, “big data” por “enormous information” o “Breast cancer” por “Bosom peril”.

APA, Harvard, Vancouver, ISO, and other styles

9

Solovyanenko, Nina I. ЮРИДИЧЕСКИЕ СТРАТЕГИИ ЦИФРОВОЙ ТРАНСФОРМАЦИИ АГРАРНОГО БИЗНЕСА. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70004.

Full text

Abstract:

t.The development of global agricultural production and food trade in recent decades implies a digital transformation and the transition to a new technological order, which is an essential factor for sustainable development. Digitalization of agriculture and the food sector is carried out on the basis of IT 2 platforms, the Internet of Things, cloud computing, big data, artificial intelligence, and blockchain technology. Fragmented and unclear legal mechanisms, slow updating of legal regulation hinder the introduction of digital solutions. A modern regulatory framework based on digital strateg

APA, Harvard, Vancouver, ISO, and other styles

10

Ndoye, Aïssatou, Khadim Dia, and Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.04. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.04.

Full text

Abstract:

The Africa Agriculture Watch (AAgWa) Crop Production Forecast Brief 4 by AKADEMIYA2063 seeks to provide accurate production levels in Burkina Faso using the Africa Food Crop Production (AfCP) model. The AfCP, developed by AKADEMIYA2063, is an artificial intelligence (AI) based predictive model applied to remotely sensed bio-geophysical data to estimate crop yields and harvests before the harvesting period for nine crops across 47 African countries.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!