Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

Full Bio 
Follow on

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

3 Best Programming Languages For Internet of Things Development In 2018
422 days ago

Data science is the big draw in business schools
595 days ago

7 Effective Methods for Fitting a Liner
605 days ago

3 Thoughts on Why Deep Learning Works So Well
605 days ago

3 million at risk from the rise of robots
605 days ago

Top 10 Hot Artificial Intelligence (AI) Technologies
317061 views

Here's why so many data scientists are leaving their jobs
82137 views

2018 Data Science Interview Questions for Top Tech Companies
79998 views

Want to be a millionaire before you turn 25? Study artificial intelligence or machine learning
78036 views

Google announces scholarship program to train 1.3 lakh Indian developers in emerging technologies
62736 views

Artificial Intelligence Big Data AI ML Tech News

Artificial intelligence vs. big data: Comparing emerging techs

By Nand Kishor |Email | Jan 24, 2018 | 14988 Views

Artificial intelligence can help synthesize and analyze the large volumes of information provided by big data initiatives. The two are different, but they work well together.

Pitting artificial intelligence vs. big data is like comparing a pick to a shovel. Although the two complement each other in important ways, they are distinctively different in both nature and purpose.

AI refers to a type of intelligence that makes it possible for a machine to perform cognitive functions similar to those attributed to humans. Compare this to a traditional system, which reacts according to how it's been programmed to act; the AI-enabled machine can analyze and interpret data and then problem solve based on those interpretations. It is always learning from the data, evolving as the data evolves and reacting to what it learns. In this way, the AI system is constantly improving and adjusting its behavior to accommodate change.

Big data refers to a much different phenomenon. Not only does it describe large sets of data, but also data that can be extremely varied, moves at a high velocity and has meaning within a defined context, with a goal toward analytics that lead to specific results.

For example, data produced by social networks or the internet of things by itself is not enough to qualify as big data in the strictest sense. The data must also be part of a larger analytics strategy that can lead to process automation, enhanced decision-making or other specific results. The difference is this: The ability of a machine to learn to act like a human is artificial intelligence vs. big data, which is a large volume of data that, when analyzed, produces usable data.

Artificial intelligence vs. big data use cases
That said, AI and big data work well together. The characteristics that define big data -- volume, velocity and variety -- have quickly overwhelmed the capabilities of traditional analytics, which is where AI comes in. AI thrives on data. The greater the amount of data, the more effectively an AI system can analyze, learn and evolve. An AI system can help find significant trends and patterns in big data that might otherwise be misinterpreted or go undiscovered.

At the same time, big data makes it possible for AI to reach its fullest potential. AI has made relatively little progress, in part because of the lack of technologies to handle massive sets of data. But the proliferation of the internet and the influx of unprecedented amounts of information have forced these technologies to evolve more quickly, particularly when it comes to storage.

Today's storage systems, especially solid-state flash arrays, can handle greater capacities and support faster I/O operations than ever. Although AI in itself doesn't warrant these capacity and performance levels, its hunger for large data sets does, creating a symbiotic relationship between AI and big data that is realized in part through today's storage technologies. Consequently, as large data sets have become more available and manageable, AI technologies have also evolved. In fact, big data might turn out to be the greatest single influence on AI's imminent rise. So, although there is a difference between artificial intelligence vs. big data, the two go hand in hand.

Source: Tech Target
Previous Story Next Story