Machine Learning (Artificial Intelligence)

Our Parami AI Lab is a strong team with experts in computer science and professors in the field. We pioneer in speech recognition, natural language processing, natural language generation, and computer vision processing. Machine learning and deep learning are the major technology in our research, and we developed many methodology and tools to assist our research. Through collaboration with local and international universities, we have breakthrough in AI, robotics, and we aim to raise technology to a higher level.

Research Paper

Artificial intelligence in business: State of the art and future research agenda

Sandra Maria Correia, Loureiro, João Guerreiro, Iis Tussyadiah, Jan. 2019
  ​​This study provides an overview of state-of-the-art research on Artificial Intelligence in the business context and proposes an agenda for future research. First, by analyzing 404 relevant articles collected through Web of Science and Scopus, this article presents the evolution of research on AI in business over time, highlighting seminal works in the field, and the leading publication venues. Next, using a text-mining approach based on Latent Dirichlet Allocation, latent topics were extracted from the literature and comprehensively analyzed. The findings reveal 18 topics classified into four main clusters: societal impact of AI, organizational impact of AI, AI systems, and AI methodologies. This study then presents several main developmental trends and the resulting challenges, including robots and automated systems, Internet-of-Things and AI integration, law, and ethics, among others. Finally, a research agenda is proposed to guide the directions of future AI research in business addressing the identified trends and challenges.

Applications of artificial intelligence in business management, e-commerce and finance

Harikumar Pallathadka, Edwin Hernan Ramirez-Asis, Telmo Pablo Loli-Poma, Karthikeyan Kaliyaperumal, Randy Joy Magno Ventayen, Mohd Naved, Jun. 2021
  In the e-commerce and financial industries, AI has been deployed to achieve better customer experience, efficient supply chain management, improved operational efficiency, and reduced mate size, with the main goal of designing standard, reliable product quality control methods and the search for new ways of reaching and serving customers while maintaining low cost. Machine learning and deep learning are two of the most often used AI approaches. Individuals, businesses, and government agencies utilize these models to anticipate and learn from data. Machine learning models for the complexity and diversity of data in the food industry are being developed at the moment. This article discusses machine learning and artificial intelligence applications in e-commerce, corporate management, and finance. Sales growth, profit maximization, sales forecast, inventory management, security, fraud detection, and portfolio management are some of the major uses.