Artificial Intelligence is booming. But, is it a good thing? We all have heard that Artificial Intelligence is created by humans and holds the power to destroy them as well. One person cannot stay without their needs. If they want to fulfill the “need”, money is required. To earn money one needs to work, but employment will not be possible because Artificial Intelligence will take over soon.
It is simply because Artificial Intelligence holds the power to do the work of more than 5 humans. Many businesses and entrepreneurs will therefore prefer AI over human beings. Because of this, many people will lose their job in the next 10 years. Today, we will be accessing this situation and see if Sagemaker Kill Job Opportunities For Data Scientists or not?
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Amazon Sagemaker explains themselves to be “Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models.”
Have you felt like making ML models as a data scientist is too hard and needs a lot of training to get to that point? Maybe you find it too damn hard to explore hard create a visual description of your training data. Could it be that it takes hours to connect to your training data and optimize it? If you’ve said yes to any of these scenarios then don’t worry. Amazon Sagemaker is here for you.
Top 10 machine learning algorithms are mixed into Amazon Sagemaker to help data scientists optimize and deliver at least 10 times better. It also has TensorFlow and Apache MXNet, one of the best source Frameworks a data scientist can find. It is one flat where you can also use your own framework to get results.
Why Use Sagemaker for Best Results
Now that you know what Sagemaker is, Let’s look at why you should use Sagemaker. Before we begin with this section of the article, let me know in the comments below if you want to know more about Sagemaker. Starting with the “WHY”, ask yourself why you buy something. This question is sure to give you clarity for a lot of matters. We buy or invest in something because we simply do not know how to do it.
Neither do you have the time to learn that particular skill nor do you have the passion? So definitely seems easy to just approach someone or something that knows their way around that particular matter. If everyone knew how to analyze the data they would not need a specialized data analyst. The same goes for an application or software, it saves your time by charging of little bit of money. If you think, you actually need to
- Define the problem and know the data required to achieve a solution to it.
- Explain the data before analyzing it and then gain the desired result.
- Identify other data and prioritize the same.
- Rinse and repeat the process unless there are visible tangible results.
Doing all this is hard enough. This is exactly why we all, as Data Scientists, need tools like Sagemaker to keep our lives as easy as possible. This will not only save you time but also resources that could’ve been wasted if a platform like it didn’t exist. Now that we have a clear idea about Sagemaker and why Data Scientists use it, let’s see the effect of Covid-19 on Job opportunities.
Job Opportunities Post Covid-19
If anyone is from the Indian workforce and works in low-wage payment industries please be aware of the coming situation. Where middle-income sources are expected to grow after covid-19, low-wage jobs might encounter severe hurdles. More and more people are now looking for work from home opportunities because it is safe as well as less time-consuming. But still, there are many Industries where we need to invest our time as well as be present for our audience.
For example, a social media manager when having no problem doing work from home. But at the same time, the personal shopper does not have this particular opportunity. This will make it harder to analyze the job sector but also create a huge income difference between two different job seekers. So during covid-19, many people lost their jobs while others used it as a factor to increase their business revenue and profits.
Today also many companies prefer to hire freelancers for outsourcing their not business activities for the sake of achieving more and worry less. This will help them get the work done easily by a team which they don’t have to pay for themselves. Hiring 1 company for ₹50,000/- is better than hiring 10 people for ₹10,000/- each. This way the profits of the companies will increase with less stress.
In a detailed report by the Times of India (TOI), “some of the largest firms in India, like TCS and Infosys, have said they would continue with remote work after the pandemic. But the report adds that the “vast majority” of India’s workforce of 464 million is employed in jobs that cannot be done remotely – think agriculture and retail trade.”
This simply means that if you are providing a service or product that companies will need in this growing world of Artificial Intelligence and digital media then you will have no problem finding a job for yourself. Identifying where is the future of the world and finding a career that will be the most profitable decision to take after covid-19.
The job industry has drastically changed and does not go back to its old ways anytime soon. Evolving with time is important for human survival and this is your test to see if you can evolve. So, will you?
Sagemaker VS Data Scientists
If this is the only part of the article that you were waiting for then I have a piece of bad news for you. Why do many of you think that there is a war going on between the new platform called Sagmaker and data scientists, you are wrong! Sagemaker is sure a great platform but someone needs to operate it. It will take us almost 5 years to reach a point where artificial intelligence will be able to operate itself.
But for now, it’s our duty to do so. Sagemaker platform is for the data scientists to use and not replace them. Sagemaker vs data scientist is not a war but a misconception that many of us are failing to understand. Like we have Instagram to promote our products as well as connect two people outside our area, the same way Sagemaker is a platform data scientist to the more connected to data and save their time.
So, Will Sagemaker Kill Job Opportunities For Data Scientists?
NO! Data science is a field where many scientific processes and algorithms are used to extract the required information and back it up by research. Whereas Sagemaker is a platform where you can learn machines and develop specific models to your needs. So no, the jobs in the Data Science industry are not going to have vanished so soon.
There’s still time till it happens. Artificial Intelligence will need to do a lot of work before we can even think about replacing data scientists. Make sure you watch this video to know more about how automation will actually increase the jobs of data, let alone kill it. Ket us know in the comments below if you want any more topics to be covered by us.