Sarcouncil Journal of Engineering and Computer Sciences
Sarcouncil Journal of Engineering and Computer Sciences
An Open access peer reviewed international Journal
Publication Frequency- Monthly
Publisher Name-SARC Publisher
ISSN Online- 2945-3585
Country of origin-PHILIPPINES
Impact Factor- 3.7
Language- English
Keywords
- Engineering and Technologies like- Civil Engineering, Construction Engineering, Structural Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Telecommunication Engineering, Communication Engineering, Chemical Engineering
Editors

Dr Hazim Abdul-Rahman
Associate Editor
Sarcouncil Journal of Applied Sciences

Entessar Al Jbawi
Associate Editor
Sarcouncil Journal of Multidisciplinary

Rishabh Rajesh Shanbhag
Associate Editor
Sarcouncil Journal of Engineering and Computer Sciences

Dr Md. Rezowan ur Rahman
Associate Editor
Sarcouncil Journal of Biomedical Sciences

Dr Ifeoma Christy
Associate Editor
Sarcouncil Journal of Entrepreneurship And Business Management
Leveraging Data Cloud and AI for Enterprise-Wide Predictive Integration: A Paradigm Shift
Keywords: Predictive integration, Data Cloud architecture, artificial intelligence, operational workflows, enterprise transformation.
Abstract: This article explores how organizations can transform from reactive to proactive decision-making through the integration of Data Cloud and artificial intelligence capabilities. Businesses can use different methods of artificial intelligence to meld their various data sources into an integrated Data Cloud architecture that takes predictive insight and embeds it directly into operational workflows across positional lines. Advanced artificial intelligence embraces an organization’s cloud-based data ecosystem and begins to understand patterns in data at speeds beyond human capabilities, while third-party integration platforms provide connections to business systems to allow for action to be automated on” data-driven” insights. While the potential benefits related to customer experience, supply chain efficiencies, finance and accounting operations, and the people function are enticing, the only obstacles to successfully implementing embedded analytics, and the necessary conditions to do so will include the data quality issues that have plagued organizations’ data nuclear opinions, data silo, ethical issues, and change management issues. The operational model for organizations will fundamentally shift from embedded analytics, with more decentralized authorities for decision making, thereby creating organizations where the pacing for orientation is decentralized decision making and agency. This transformation can include all the necessary components to implement to create successful data: cloud-based analytics if it is cultural to the organization, with the development of new norms, values, approaches, culture of empowerment, governance, rules of engagement and decision rights to allow to enable, a culture of data usability at scale. Organizations need to be able to respond to ever growing and unrestricted data, and whilst organizations are rapidly implementing ways to master predictive integration insights, business organizations, and operational agility are becoming the competitive advantage based on upticks in organizational and environmental awareness and operational positioning thereby creating opportunities for sustainable organizational performance in a turbulent marketplace.
Author
- Maurya Priyadarshi
- Manipal Institute of Technology Manipal University India