Big Data’s Relationship to AI
Now, with big data available, we can feed that data into a machine-learning algorithm that then learns how to reproduce the behavior. Collecting the data is far faster than trying to understand and provide for every single eventuality. Which means that we’re now speeding up progress on the AI front.
Think about the companies that are making waves with their AI discoveries. Google, Facebook and Amazon are just a few of the examples that spring to mind. Their accomplishments are possible precisely because of the massive, massive amounts of data they have on hand.
A revolution in automation is happening.
Of course, it’s not as easy as that.
The big data world has long been saying that machine learning will become the biggest disruptor for big data analytics. But here’s an issue, and it’s tied to the data itself.
Big data is essential to AI’s success. AI itself doesn’t reason and deduce the way human minds do. Instead, it learns through trial and error. That’s why having large amounts of data is more important than ever. The more data AI has, the more accurate it will become. They are true partners, and one would not be good without the other.
That’s why the key to further AI and machine learning accomplishments will be the ability to analyze that data.
So far, data scientists have been the heroes of AI. But just think. If so far, we’ve seen so many accomplishments when the ability to analyze the data is tied to a few, what can we accomplish when everyone, from everyday business analysts to data scientists, can take deep learning to another level and use it to solve real business problems?
Here’s what we’re looking forward to: taking the work of these data scientist heroes and bringing it into the real world. What can happen with the AI revolution once we broaden access to that data?
The Future of AI
Of course, the future we paint won’t happen right away.
Before it comes, we believe you’ll see demand and more breakthroughs in the world of data analytics, but there will be struggles with understanding, proper usage and talent. Analytics will struggle to keep up with the vision, as leaders envision what they want, and data scientists have to fit the reality to the vision.
But in the end, that new future will arrive. And big data, with easy access to data analytics will surely be a key part of it.