Big Data Applications, Challenges and Opportunities
Big data can enhance the discovery, access, availability, utilization and supply of information in companies and supply chains. It can help discover new data sets that have not yet been used to drive value. Big data applications process and manage large amounts of data, often measured in terabytes or more. Processing such large data volumes can be time-consuming, taking months to process. Challenges in big data are real implementation barriers. These require immediate attention and need to be dealt with, because if not dealt with, technical glitches may occur, which may also lead to some unpleasant results. Big data challenges include storing and analysing extremely large and rapidly growing amounts of data. Big data can reduce long-term costs, improve investment capabilities, and improve understanding of cost drivers and impacts.
- More integration and collaboration
- Strengthen logistics
- More Efficient Inventory Management
- improve risk management
Related Conference of Big Data Applications, Challenges and Opportunities
14th Global Summit on Artificial Intelligence and Neural Networks
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
25th International Conference on Big Data & Data Analytics
Big Data Applications, Challenges and Opportunities Conference Speakers
Recommended Sessions
- Big Data Algorithm
- Big Data Analytics
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Management
- Big Data Optimization
- Big Data Technologies
- Big Data Tools and Systems
- Cloud computing
- Data Mining and Machine Learning
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Forecasting from Big Data
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