Artificial intelligence, machine learning, and deep learning for advanced business strategies: a review
This study thoroughly analyses how artificial intelligence (AI), machine learning (ML), and
deep learning (DL) impact the development and improvement of business strategies. It …
deep learning (DL) impact the development and improvement of business strategies. It …
Big and open linked data analytics ecosystem: Theoretical background and essential elements
Big and open linked data are often mentioned together because storing, processing, and
publishing large amounts of these data play an increasingly important role in today's society …
publishing large amounts of these data play an increasingly important role in today's society …
Ambidextrous organization and agility in big data era: The role of business process management systems
Purpose The purpose of this paper is to explore the effect of big data analytics-capable
business process management systems (BDA-capable BPMS) on ambidextrous …
business process management systems (BDA-capable BPMS) on ambidextrous …
A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach
E-commerce start-ups have ventured into emerging economies and are growing at a
significantly faster pace. Big data has acted like a catalyst in their growth story. Big data …
significantly faster pace. Big data has acted like a catalyst in their growth story. Big data …
Perspectives to definition of big data: a map** study and discussion
Big data is an emerging research area where common terminology is still evolving. Different
perspectives to the research area and terminology exist, but a common definition for big data …
perspectives to the research area and terminology exist, but a common definition for big data …
Leveraging predictive modeling, machine learning personalization, NLP customer support, and AI chatbots to increase customer loyalty
Abstract AI, ML, and NLP are profoundly altering the way organizations work. With the
increasing influx of data and the development of AI systems to understand it in order to solve …
increasing influx of data and the development of AI systems to understand it in order to solve …
Amplifying organizational performance from business intelligence: Business analytics implementation in the retail industry
EP Paulino - Journal of Entrepreneurship, Management and …, 2022 - ceeol.com
PURPOSE: The concept of business analytics (BA) and business intelligence (BI) is just
emerging in the Philippines. Since these are new concepts, it is important to investigate their …
emerging in the Philippines. Since these are new concepts, it is important to investigate their …
Harvesting Big Data in social science: A methodological approach for collecting online user-generated content
Online user-generated content is playing a progressively important role as information
source for social scientists seeking for digging out value. Advances procedures and …
source for social scientists seeking for digging out value. Advances procedures and …
Big data: issues, challenges, and techniques in business intelligence
During the last decade, the most challenging problem the world envisaged was big data
problem. The big data problem means that data is growing at a much faster rate than …
problem. The big data problem means that data is growing at a much faster rate than …
A new model for integrating big data into phases of decision-making process
Big data is becoming a key factor within organizations since the application of Big Data in
modern business provides information in real-time that allows organizations to take a faster …
modern business provides information in real-time that allows organizations to take a faster …