Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges
A Aldoseri, KN Al-Khalifa, AM Hamouda - Applied Sciences, 2023 - mdpi.com
The use of artificial intelligence (AI) is becoming more prevalent across industries such as
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …
companies and chemical scientists. However, low efficacy, off-target delivery, time …
Industry 5.0 or industry 4.0 S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies
A Raja Santhi, P Muthuswamy - International Journal on Interactive Design …, 2023 - Springer
Abstract The Industrial Revolution can be termed as the transformation of traditional
industrial practices into new techniques dominated by the technologies available at that …
industrial practices into new techniques dominated by the technologies available at that …
[HTML][HTML] Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling
Big data analytics (BDA) adoption has gained attention in both practical and theoretical
circles owing to the opportunities and advantages that can be reaped from it. In theory, the …
circles owing to the opportunities and advantages that can be reaped from it. In theory, the …
The triboelectric nanogenerator as an innovative technology toward intelligent sports
In the new era of the Internet‐of‐Things, athletic big data collection and analysis based on
widely distributed sensing networks are particularly important in the development of …
widely distributed sensing networks are particularly important in the development of …
[HTML][HTML] Using data sciences in digital marketing: Framework, methods, and performance metrics
JR Saura - Journal of Innovation & Knowledge, 2021 - Elsevier
In the last decade, the use of Data Sciences, which facilitate decision-making and extraction
of actionable insights and knowledge from large datasets in the digital marketing …
of actionable insights and knowledge from large datasets in the digital marketing …
Internet of Things and Big Data as enablers for business digitalization strategies
Digitization blurs the lines between technology and management, facilitating new business
models built upon the concepts, methods and tools of the digital environment. The purpose …
models built upon the concepts, methods and tools of the digital environment. The purpose …
The role of ai, machine learning, and big data in digital twinning: A systematic literature review, challenges, and opportunities
Digital twinning is one of the top ten technology trends in the last couple of years, due to its
high applicability in the industrial sector. The integration of big data analytics and artificial …
high applicability in the industrial sector. The integration of big data analytics and artificial …
The digitalization and public crisis responses of small and medium enterprises: Implications from a COVID-19 survey
H Guo, Z Yang, R Huang, A Guo - Frontiers of Business Research in China, 2020 - Springer
The COVID-19 outbreak is a global crisis that has placed small and medium enterprises
(SMEs) under huge pressure to survive, requiring them to respond effectively to the crisis …
(SMEs) under huge pressure to survive, requiring them to respond effectively to the crisis …