Big Data Applications, Challenges and Opportunities
Big data has increased the demand of information management so much that most of the world’s big software companies are investing in software firms specializing in data management and analytics. According to one rough calculation, one-third of the globally stored information is in the form of alphanumeric text and still image data, which is the format most useful for most big data applications. Since most of the data is directly generated in digital format, we have the opportunity and the challenge both to influence the creation to facilitate later linkage and to automatically link previously created data. There are different phases in the Big Data analysis process and some common challenges that underlie many, and sometimes all, of these phases.
- Ecommerce and customer service
- Security and privacy
- Manufacturing
- Telecommunication
- E-Government
- Public administration
- Big Data Analytics in Enterprises
- Retail / Consumer
- Travel Industry
- Current and future scenario of Big Data Market
- Financial aspects of Big Data Industry
- Clinical and Healthcare
- Regulated Industries
- Biomedicine
- Finances and Frauds services
- Web and Digital Media
- Data Integration, Aggregation, and Representation
- Query Processing, Data Modeling, and Analysis
- Heterogeneity and Incompleteness
- Scale, Timeliness and Privacy
- System Architecture and Human Collaboration
- New innovations and business opportunities
- Business Proliferation
Related Conference of Big Data Applications, Challenges and Opportunities
6th Annual Summit on Satellite and Space Communication Technology
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
10th International Conference and Expo on Computer Graphics & Animation
Big Data Applications, Challenges and Opportunities Conference Speakers
Recommended Sessions
- Artificial Intelligence
- Big Data Algorithm
- Big Data Analytics
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Optimization
- Big Data Technologies
- Business Analytics
- Cloud Computing
- Clustering
- Complexity and Algorithms
- Data Mining and Machine Learning
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Methods and Algorithms
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Forecasting from Big Data
- Frequent Pattern Mining
- Internet of Things (IOT)
- Nanoinformatics
- New Visualization Techniques
- Open Data
- Renewable Energy Forecasting with Big Data
- Search and Data Mining
- Social Network Analysis
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