Why Big Data is important for Artificial Intelligence?

Why Big Data is important for Artificial Intelligence?

Artificial Intelligence (AI) is one of the most transforming forces in our time. While there may be some debate as to whether AI will transform our country in good or bad ways, one thing we can all agree on is that Big data is important for Artificial Intelligence.

Although AI technology has been around for a few decades, the explosion of data — raw AI material — has allowed it to evolve at an astonishing rate. It the billions of daily searches on Google that provide great real-time data set by Google to read from our type and search preferences. Siri and Cortana will have only a basic understanding of our applications other than the billions of hours of the spoken word now available in terms of the digits that have helped them learn our language. Similarly, Connie, the first concierge robot from Hilton Hotels understands the natural language and answers visitors' questions about the hotel, local attractions, restaurants, and more. The robot became intelligent because of the detailed data given to it to learn how to process future inputs.


AI continues to mature due to data explosions

Each year, the number of data we produce doubles and it predicted that over the next ten years there will be 150 billion connected sensors (more than 20 times the human population). This data is helpful in helping AI devices learn how people think and feel. And speeds up their learning curve, and allows for automated data analysis. The more information to be considered, the more data is presented. The more it learns and the more accurate it becomes. Artificial Intelligence is now able to learn without human support. In just one example, Google's DeepMind algorithm recently taught itself how Atari could win 49 games.

Deep Mind: Big Data is important for Artificial Intelligence?

In the past, AI growth has stagnated due to limited data. Which are sets, samples representing real-time data real-life data, and the inability to analyze large amounts of data per second. Today, there is real-time, frequent access to data and tools that allow for faster analysis. This facilitated AI and machine learning and allowed the transformation of the original data system. Our technology is now fast enough to access these large repositories to quickly transform AI systems and machine learning systems.

AI-enabled big data

Businesses across the industry are joining AI pioneers such as Google and Amazon to implement AI solutions in their organizations. MetLife, one of the world's largest providers of insurance, employee plans, and pension benefits. Also sponsored AI programs with great detail. Speech recognition has improved the tracking of events and results. The company has better claims management because claims models enriched with informal data. Which they now analyze as medical reports and work on automated writing.

Will the computer be able to think like the human brain? Some say they never, while others say we already exist. However, we are at a point where the ability for machines to see, understand. And interact with the world is growing exponentially and is only growing with the volume of data. That helps them learn and understand much faster. Thus, it shows Big data is important for Artificial Intelligence.


4 Comments

  1. […] continuous shortcut and verification process that requires CPU power and data bandwidth, making it Big Data […]

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