The story of AI, Big Data, and changing the future

Data science is a perfect example of the collaboration of mathematics and data to simplify our lives. You may not be aware of it, but you’re surrounded by algorithms every step of the way. From finding the optimal way home to minimizing the cost by maximizing the desired outcome for your car by measuring how much gas you’ve got left in the tank. Heck, there’s even an algorithm for multiplying two numbers. I bet you didn’t think of this one, did you?

The story of AI

“Artificial intelligence”. Sounds kinda scary, doesn’t it? Your first impression might be robots (‘I, Robot’ stuff, you know what I’m talking about) or the world has gone mad.

Let me clarify that. AI is about machines becoming intelligent. The way to become intelligent is by getting repetitively better with gigantic amounts of data. As you’ll see, there is no hidden agenda to AI.
Photo by Maximalfocus on Unsplash

Why the 21st century is a Big Data century

Information is power. It may be just a threat during the cold war, but it has definitely lived up to its expectations. Let me tell you why:

• Big Data drives big algorithms. Remember: the model is only as good as your data. A couple of decades ago, there has been a computational power crisis, and papers like Moore’s law pouring some distaste. Cloud services take care of that with distributed data. If interested, I encourage you to read the following article:

Why Moving to the Cloud is Inevitable

The Reason Why Cloud Services Have The Upper Hand In The Big Data Process
cvetko-tim.medium.com

• Because without being able to manage, preprocess, scale, and distribute data in the 21st century you can forget about being a 21st-century company.

Photo by Austin Distel on Unsplash

Just take a look at what (digital) transformations these companies have made just to keep up.
[ One might argue that some of these companies were digital to start with and he’d probably be right. Nevertheless, the urge to keep grinding is true for all. ]

Check out how brands are creating new innovations for the future

Digital transformation is more than just technology — it’s about reinventing the customer experience. According to PWC…
www.socialbakers.com

Industries that will incur the most radical changes

Source: Fortune Busines Insights
AI in Healthcare:
Allow me to start by saying that in the field of applying AI to medicine, there has been a whole lot more research and deep learning than there could or should be. Let’s get straight into it and let me show you what the future holds:

• Automation of processes. As always, AI is about simplifying tasks done by humans in a much more efficient and less time-consuming manner.

• Deep Learning has made huge progress. For example, ECG segmentation, predicting, faster diagnosis, sleep stages detection based on EEG data, cancer detection, developing new medicine and so much more.

Source: New York Times

How AI is improving cancer diagnostics

When a young girl came to New York University (NYU) Langone Health for a routine follow-up, tests seemed to show that…
www.nature.com

Artificial Intelligence in Healthcare: the future is amazing — Healthcare Weekly

The role of artificial intelligence in healthcare has been a huge talking point in recent months and there’s no sign of…
healthcareweekly.com

Manufacturing

I’m not just talking about robots handling one’s work. They will outsmart a worker. I’m not just talking about the fact that machines are consistent, and relentless and you don’t have to pay them. Once we empower algorithms to find the optimal workflows, the manufacturing process will never be the same.
Data has become a highly valuable resource, and it’s cheaper than ever to capture and store. Today, more manufacturers than ever are leveraging that data to significantly improve their bottom line thanks to Artificial Intelligence — and particularly Machine Learning.
Photo by Remy Gieling on Unsplash
For example, one of the key ideas here is Automated Root Case Analysis which is about identifying factors that cause defects or quality deviations in the manufactured product.

Sports and entertainment

Machine learning can predict a user’s behavior to make recommendations on the type of movie, music, TV shows, and other content he’ll be interested in. Also, adverts can now be personalized based on the user’s preference, thereby increasing the chances a marketer will make a sale.

The Stock Market

Time series analysis will be able to make strong predictions based on previously seen data. The first question that should pop up is:

Can artificial intelligence learn to beat the stock market?

On the far side of an office park in a suburb of Seattle, a supercomputer is teaching itself to beat the stock market…
www.fastcompany.com

I’ll let you get to the bottom of that. Anyway, I saved the best for last.

Transportation

An autonomous car, also known as a self-driving car, is a vehicle that can sense its environment and is capable of moving without human interference. This technology can transform the transportation system, because it can analyze traffic and alternative routes, thus reducing travel times.

Source: PBS.org

Conclusion

Even with computer vision algorithms, like YOLO the scenario doesn’t shift to surveillance, it shifts to reading license plates of cars and checking how many people are using their phones while driving. Hopefully, after reading the article, you feel better at acquiring knowledge and information and don’t have that awful feeling about AI taking over (anymore). I presented the industries that are about to make the most radical changes and where that leaves us for the future.

Best of luck and happy coding!!! :)

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