- What is Big Data and how is it different from other forms of data?
- According to McKinsey , four characteristics define Big Data. The four V’s of Big Data are: Huge scale ( volume ) Fast data flow ( velocity ) Diverse data types ( variety ) Low-value density ( value ) These characteristics make working with Big Data a great opportunity but also a challenge. Huge volumes of data will be costly to collect, process, and store. A fast data flow will challenge processing engines and a diversity of data types will increase the complexity of the data cycle, from a need for different processing systems to applying a diversity of methodologies to learn from data. Finally, a low-value density makes valuable information difficult to acquire, it is there but hidden under huge amounts of irrelevant data. In many cases, information will only arise after the combination and analysis of many pieces of data which, in isolation, are not very useful. However, it is worth facing these challenges as with the right processes and methodologies, Big Data will provide decision makers a full new world of high-value information that was previously unimaginable. Here is where Artificial Intelligence plays a role. Artificial Intelligence (AI) is a discipline that uses a series of techniques in machines to perform complex intellectual tasks such as learning, forming concepts, recognizing patterns, solving problems, or even innovating, and simulating human intelligence. → Artificial Intelligence Neural Network It is a key partner of Big Data, as most AI techniques, such as Machine Learning algorithms, will benefit hugely from the volume of data, the first V of Big Data. With more data available, algorithms have more opportunities to learn, can be more complex, and can provide better outcomes. Further, Big Data systems will also take advantage of and incorporate artificial intelligence methods in their pipelines, playing a role in data classification, anomaly detection, and selecting relevant data. Furthermore, many unstructured data types, such as text, voices, images, or pictures, would be useless without Artificial Intelligence techniques, such as Deep Learning. These techniques perform complex tasks like recognizing objects and elements in images or concepts and relationships in text, transforming plain unstructured data into useful structured data, just one step before relevant and insightful information.
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