Big Data Analysis
The construct of massive knowledge has been around for years; most organizations currently perceive that if they capture all the information that streams into their businesses, they will apply analytics and get significant value from it. But even within the Nineteen Fifties, decades before anyone verbalised the term “big knowledge”, businesses were using basic analytics (essentially numbers during a computer programme that were manually examined) to uncover insights and trends. The new advantages that massive knowledge analytics brings to the table, however, are speed and potency. Whereas some years past a business would have gathered data, run analytics and unearthed data that would be used for future decisions, these days that business will determine insights for immediate decisions. The ability to work quicker – and keep agile – offers organizations a competitive edge they didn’t have before.
Related Conference of Big Data Analysis
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
10th World Congress on Computer Science, Machine Learning and Big Data
10th International Conference and Expo on Computer Graphics & Animation
Big Data Analysis Conference Speakers
Recommended Sessions
- Robotics
- AI Machine Learning in Health Care & Medical Science
- Artificial Intelligence
- Artificial Intelligence and Advances
- Artificial Intelligence in Block Chain Technology
- Artificial Intelligence in Healthcare, Business & Multimedia Technologies
- Artificial Neural Networks
- Automation
- Big Data Algorithms
- Big Data Analysis
- Cloud Computing
- Computer Vision
- Computer vision and perception
- Cyber Defence
- Cyber Security
- Data Mining
- Data mining with big data
- Data Science
- Decision Management
- Deep Learning
- Evolutionary Computation
- Fleet Management in AI
- Hadoop map reducing for analysing Information
- How Robot changes our life-Robotics in Industry
- Humanoid Robots
- Image Processing
- Information fusion
- Internet of Things
- Machine Learning
- Machine learning
- Machine learning and computing
- Machines and Minds
- Mechatronics & Nonlinear Control Systems (NOLCOS)
- Natural Language Processing (NIP)
- Neural System
- Neural systems
- Perception
- Robotic Process Automation (RPA)
- Robots in Security and Surveillance
- Speech Recognition
- Virtual Intelligence