|Businessman analyzing data/ Photo By Den Rise via Shutterstock|
Data on its own is useful to those who can extract and understand the information within. But a large amount of data, such as big data, is usually useless without digital intervention. According to Liran Zvibel, co-founder and CEO of WekaIO, big data needs AI and deep learning to become sensible.
Usefulness of Big Data Depends on AI and Deep Learning
In various industries, companies have been collecting a vast amount of data needed for research and development. And depending on the type of company, data can include personal background, medical information or the latest trends. Big data is an opportunity to improve company status, financial standing, consumer health or marketing prowess. But without the right extractors of information, big data remains an entangled mass of information.
“People really understand that for you to make better use of your data, you need to employ ways similar to how the brain works,” explained Zvibel.
Computer systems can only use big data if they have the tools to understand them. Right now, the best bet is the use of deep learning algorithms to detect, identify, and classify information accurately. And deep learning is a part of artificial intelligence, which means companies should adopt both upgrades.
Once enabled, the application of both AI and deep learning in computer systems can perform the following tasks:
- Faster file system processing from artificial intelligence.
- Training of specialized tasks possible with deep learning.
- Implementation of new policies based on analyzed big data.
- Creation of new models to innovate products and services.
- Less time wasted so that specialists can focus on other tasks.
“We’re now in the infancy of a lot of these loops, but… I think probably two to five years will take us through a very fascinating evolution where systems all around us will become way, way more intelligent,” added Zvibel.