Machine learning is now a popular phenomenon for all sorts of businesses. Do you want to get hold of machine learning to grow your business?
But before you go ahead with it, you need to understand,
What machine learning is and which subset of machine learning will help you in your business?
These are the questions of real concerns. That is exactly what we will cover in this post today.
We’ve watched many movies that show how illustrious the future can be if a machine can learn things and evolve (Don’t forget the famous Terminator where they enslaved us all!!!). Just kidding, I know that will never be the case.
So, talking about machine learning and evolving, there is a term which is quite popular. “Deep Learning”, yes that’s right. When a machine network learns unstructured data without any supervision, then we classify that type of learning as deep learning.
Here’s some fodder for your mind, how can deep learning help you in growing?
The ocean of data is growing exponentially. Sooner or later, your business needs to keep up with the flow. How can it be done?
The answer lies in the realm of deep learning. Let’s dive deep and find out the pearl that can help you grow your business.
Time & Cost Benefits
According to Google’s lead scientist Geoffrey Hinton, a capsule network is a new form of the deep neural network which you can reckon as trainable brains. You can simply give them the company’s information and then train them to do automated tasks such as generating reports. When they work on the tasks you assigned, they tend to adapt to their work experience to improve their performance with the passage of time.
The profit of such robot workers is they never sleep and work at a faster rate than their human counterpart. With this utilization, your business can save ample amount of money spent in the hiring of employees for the projects. And it certainly saves the time of your employees.
When all this repetitive work is done swiftly, your employee has the liberty to invest his time on creative work which will develop your business in better ways.
Accurate & Quality Results
Accuracy is crucial when it comes to business operations. When your work is accurate, the quality is always the one that you desired for. Unfortunately, when you are human, the mistakes are inevitable. When the task is repetitive and constantly requires data processing, human tend to commit mistakes which often end in frustration. And isn’t that obvious that human needs rest and fuel, because they get tired and are vulnerable to make silly mistakes (Or I prefer them calling as blunder)?
What about an AI?
Your machine doesn’t need any rest and the chances of committing mistakes are less (almost negligible). When it takes deep learning to, of course, learn the outcomes are more relevant and highly accurate. It tends to take new data from the internet, your company server, and other resources. With the help of these resources, it generates new understanding which finally creates end results more accurate and of high quality.
One of the most popular uses is the automated image recognition algorithms. With the application of deep learning, the functioning of the recognizer is refined on a daily basis. It identifies the common error field and saves a significant amount of time in fixing them.
You might be wondering!!!
What about the jobs of the employees? Aren’t they become insecure for their jobs? Believe it or not, AI and deep learning are not threatening anybody’s job. It is actually making the job easy, hence in a way or another it is simply enhancing the job profiles of your employees which bring us to the next point.
Growth in the Jobs
When you start implementing AI in your organizational workflow, you must train your employees to use the software. Using software does not mean that you need fewer employees now (that is a common misconception). When you train more employees for the software, you need more on your creative crew which increases the focus on the creative counterpart of the job. So, in a way or another, it simply increases the expected growth in the job.
Remember, when you open the space for AI’s deep learning protocol, you relieve your employees from the hectic repetitive tasks which are not only time consuming but also act as a barrier in the creative juice of your employees. This helps your employees to create voraciously and watch your company grow.
The Impact of Artificial Intelligence
The scope of artificial intelligence is always a disputed topic, with the application of machines are increasing consistently, the use of AI is always hot in every debate. The AI effect is visible in every machine with automated voice recognition, strategic game systems, military simulation, interpreting complex data, and many other applications.
The impact of Artificial Intelligence is daunting in the modern day business. You surely don’t want to miss them at any cost.
Let’s have a look at the points we have discussed,
- When a machine network learns unstructured data without any supervision, then we classify that type of learning as deep learning.
- You can simply give Machines your company’s information and then train them to do automated tasks such as generating reports. When they work on the tasks you assigned, they tend to adapt to their work experience to improve their performance with the passage of time.
- Your machine doesn’t need any rest and the chances of committing mistakes are less (almost negligible). When it takes deep learning to, of course, learn the outcomes are more relevant and highly accurate. It tends to take new data from the internet, your company server, and other resources. With the help of these resources, it generates new understanding which finally creates end results more accurate and of high quality.
- When you start implementing AI in your organizational workflow, you must train your employees to use the software. Using software does not mean that you need fewer employees now (that is a common misconception). When you train more employees for the software, you need more on your creative crew which increases the focus on the creative counterpart of the job.
Let me know your thoughts on this. Cheerio fellas!!!
