IoT And The Future Of Big Data

IoT And The Future Of Big Data

With Big Data continuing to make its mark in numerous different industries and the internet Of Things on the rise, what can we expect to see out of them in the future?

This time of year everyone starts to predict what the future will hold, what trends will be all the rage and whose products will be the most successful. It is pretty safe to say that Big Data will continue to be improved and utilized in more ways in the future. The Internet Of Things is definitely on the rise, but what can we expect from it in this upcoming year?

Check out this video to find out! 

Back To The Future With Big Data

Back To The Future With Big Data

With today being “Future Day” due to October 21, 2015 being “the future” in the movie Back To The Future directed by Robert Zemeckis, it has got me thinking about Big Data and the future.

Without Big Data would we have achieved many of the predictions of the future made in the Back To The Future movie? 

Where will Big Data take us by 2030? 

With Big Data infiltrating most industries these days, we can bet that it will greatly effect the way we live by 2030. Healthcare is being revolutionized with better patient records, communication between hospitals and the CDC to control the spreading of epidemics, and even the race to cure cancer s being aided by big data. Transportation is evolving with better taxi apps and the beginning of self driving cars. Our own homes are even being upgraded by big data, with an improving real estate system and the ongoing progress in the idea of a “connected home”.

These are just a few of the different areas Big Data is making an impact, so what does this mean for our future?

What will daily life be like?

Are our jobs going to be taken over by computers?

My predictions for 2030 are as follows,

  1. Doctors will have access to thousands of patient records with the touch of their finger. There will be a digital library that can analyze symptoms and present multiple similar cases, the steps taken and the percentage of positive outcome. This will decrease the amount of tests needed to diagnose symptoms and ultimately save the patient a lot of money and the doctor a lot of time.
  2. Houses will be equipped with smart devices that communicate with one another to save energy and control routine actions such as turning a light on or off automatically. Houses will be able to tell when the owner is about to be home and automatically kick on the heat or air, turn on the lights, unlock the doors and who knows they may even make you  cup of coffee!
  3. Transportation will be drastically improved with self driving cars and more efficient taxi services such as Uber. Uber will be able to track a frequent customer’s debit transactions to know when they close out a tab close to closing time in a bar. This will allow the Uber driver to be outside of the bar and ready for when the customer stumbles out.
  4. Shopping will be more than likely completely different. With the way large stores track consumer habits I wouldn’t be surprised if the stores could communicate with our smart homes to determine which foods or household products we are low on and automatically deliver them to our front door by most likely a drone.

Does this mean we are going to start losing our jobs to automated technology? Yes and no. Sure some jobs will be taken over by computers because it makes the most sense, it is most efficient. That doesn’t mean everyone is going to be out of work. All of these technologies and programs must be monitored and serviced. I think in the next fifteen years we are going to see a major shift in our educational departments towards more technological training. We will need to have more people who are proficient in the new technologies to keep up with any of them. There will be a lot of jobs created to both monitor and service these technological advances.

Will any of this happen by 2030?        Will it happen at all?

 Who knows, but humans have never ceased to amaze me with their ability to create new and exciting things.

Let us know what you think, where will our world be in 2030?

Happy Future Day!!! 

Who Is To Blame When Technology Takes The Wheel?

Who Is To Blame When Technology Takes The Wheel?

Imagine you are driving along your morning commute, there is slight traffic, but it is still moving at a decent pace. SUDDENLY the car in front of you comes to a complete stop causing you to skid into the back of their car! You get out of your car to exchange some not so nice words with the driver who decided to slam on their breaks causing you two to collide, but wait… there is no one in the car.

Driverless Cars.

Yep, its a thing. 

Large companies such as Google have been developing driverless cars for years and they are now making an appearance on our neighborhood roads. I must admit it is quite amazing that a driverless car is even possible, but is it safe? Not only would  passengers be putting their lives in the hands of a computer, but can a computer really drive a car as well as a human can? You may be laughing right now as I am sure we all know some pretty terrible drivers. The difference is that humans have instincts and can react in various levels rather than simply on/off or go/stop.

When a computer reacts to a possible threat it simply stops, there is no hovering over the break or easing, it is a complete halt. This is where we are finding issues with self-driving cars trying to drive alongside humans. Driverless cars are too cautious and need to drive more like humans do. Even if a driverless car is an excellent driver, it can still be at fault for a crash, but who determines this?

As a computer based system driverless cars are producing a ton of data, but who is collecting this data. If someone gets into an accident with a driverless car, who determines fault? I think this is where we can produce a whole new line of jobs- driverless car data scientists. There needs to be a team of people who receive the data produced from driverless cars and store it. This way when there is an accident the driverless car data scientists can quickly collect the data and determine if the fault was of the computer or the human.

If self-driving cars are going to continue to make an appearance on our roads, a team of data scientists the monitor their actions is definite necessity. What do you think? Do you think it is safe to have driverless cars alongside human drivers? Would you ride in a car that was being driven by a computer? Let us know what you think! 

Check out how Data Scientists collect mass amounts of data and turn it into understandable information.

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