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From analytics to artificial intelligence

Thomas H. Davenport • Journal of Business Analytics (2018)

Analytics have been employed by companies for several decades, but now many firms are interested in building their capabilities for artificial intelligence (AI). Many AI systems, however, are based on statistics and other forms of analytics...

OPENALEX Open Access DOI: https://doi.org/10.1080/2573234x.2018.1543535

Artificial intelligence and echocardiography

Maryam Alsharqi, William J. Woodward, J. A. Mumith, D. C. Markham et al. • Echo Research and Practice (2018)

Echocardiography plays a crucial role in the diagnosis and management of cardiovascular disease. However, interpretation remains largely reliant on the subjective expertise of the operator. As a result inter-operator variability and experie...

OPENALEX cc-by DOI: https://doi.org/10.1530/erp-18-0056 PMC: 6280250

Managing Artificial Intelligence

Nicholas Berente, Bin Gu, Jan Recker, Radhika Santhanam • MIS Quarterly (2021)

Managing artificial intelligence (AI) marks the dawn of a new age of information technology management. Managing AI involves communicating, leading, coordinating, and controlling an ever-evolving frontier of computational advancements that ...

OPENALEX Open Access DOI: https://doi.org/10.25300/misq/2021/16274

Integrative Approaches to Soybean Resilience, Productivity, and Utility: A Review of Genomics, Computational Modeling, and Economic Viability

Yuhong Gai, Shuhao Liu, Zhidan Zhang, Jian Wei et al. • Plants (2025)

Soybean is a vital crop globally and a key source of food, feed, and biofuel. With advancements in high-throughput technologies, soybeans have become a key target for genetic improvement. This comprehensive review explores advances in multi...

DOAJ Open Access (DOAJ) DOI: 10.3390/plants14050671