What Is Your Pick, AI or Machine Learning?

The terms Artificial intelligence and machine learning are becoming an integral part of our everyday life. All tech innovations are using artificial intelligence and machine learning to build new possibilities. However, there are some major differences between artificial intelligence and machine learning, let's find them out together to understand.

What is Machine Learning?

In Machine learning, we use algorithms that acquire knowledge or skill through experience. Machine learning relies on big data sets to remind the data to find common patterns. In other words, machine learning is also defined as a subset of artificial intelligence.

What is Artificial Intelligence?

On the other hand, Artificial Intelligence learns by acquiring knowledge and learning how to apply it. The aim of artificial intelligence is to increase the chances of success and to find the optimal solution. AI is the study to train the computers to attempt to do things which at present humans can do better. AI tends to be used in situations where there is a need to adapt to new scenarios is important.

Let's find out the Major differences between machine learning and artificial intelligence.

1. Market Demand and Future Forecast

Both Artificial intelligence and machine learning are the latest and most popular technologies in the market. Every sector is using these technologies. The demand for these technologies is on a constant rise.

The Artificial Intelligence market was valued at USD 16.06 billion in 2017 and it is increasing like nothing else. It is expected to reach USD 190.61 billion by 2025, at a CAGR of 36.62% during the forecast period.

These stats clearly indicate that artificial intelligence has a huge market presence and it is the most popular technology among all the sectors nowadays.
Here are some of the key target audience of Artificial Intelligence

1.Semiconductor companies

2.Tech startups

3.System integrators

4.Cloud service providers

If you are looking to drive your AI development project, find the top AI & machine learning companies to work for you and according to your requirements.

On the other hand, Machine learning is gaining as much popularity as Artificial intelligence only. Technological advancement and rapid increase in the rate of data generation are some of the major driving factors for the global machine learning market.

According to some reports, the machine learning market size is expected to grow from USD 1.41 Billion in 2017 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% which according to me is very impressive.
This technology is driving new innovations every day, every hour!

The graph below shows the average number of AI vs Machine learning projects deployed.

source: https://www.itvarnews.com/wp-content/uploads/2019/07/gartner-report-ai-ml.jpg

2. Applications

Artificial intelligence:

Gaming: Everyone knows the conventional ways to play chess, where you might be sitting with an opponent in front of you and you both are trying hard to take away the game with you, but if I say that a computer can be your opponent and it can even play better than you! , you will be quite shocked, right? But this is the reality which was only possible due to artificial intelligence, other games like tic tac toe, poker, etc are a reality now.

Speech recognition: “Alexa turn on the lights” no, this is not a dialogue from some sci-fi movie but it is amazon’s latest voice assistant Alexa which can be used to automate your home, all of your electrical appliances by just voice, you just give a command and rest.

Hardware recognition: Most of you might remember when artist of all sorts used to put their creativity on paper using different colored pencils or brush, but that is an ancient thing now, artificial intelligence has enabled us with a feature with which we can directly draw on a surface or screen and it will take shape on the monitor in front of you , you can use all kinds of brush strokes light or dark-thick or thin.

Machine learning:

Web search engine: Website ranking is one of the major tasks a search engine has to perform, the only reason the search engines like google, bing works so well is that they have learned how to rank pages due to complex algorithms.

Facial recognition: You might have used the social media applications and surely you tag your friends in a photo this tagging feature is possible only due to a facial recognition feature that runs behind the application.

Spam Detector: Our mail agent like Gmail or Hotmail does a lot of hard work for us in classifying the mails and moving the spam emails to a spam folder. This is again achieved by a spam classifier running in the back end of a mail application.

3. AI vs Machine learning trends 2019

Machine Learning: Rapid growth in machine learning developer tooling is the most notable change now. The increase in machine learning developer demands are off the chart, it is creating a wave in the industry. Powerful machine learning tools such as auto ML provides plug and play solution without the deep knowledge of machine learning.

On the other hand, there are tools like ML FLOW which allows data scientists to use their core capabilities to research wide capabilities of machine learning.

Artificial Intelligence: Unlike any other software AI-enabled software heavily relies on the CPU and even the most advanced CPU may not be able to provide desired speed to an AI application so, companies like Intel, NVIDIA, RADEON are shipping specialized chip that will speed up the AI execution.AI will meet IoT at the edge computing layer.

So The Real Question, AI vs Machine learning, What really is your pick?

AI vs Machine learning is quite a confusing topic. It may be difficult to choose the best one for your project. Let’s clarify this in a nutshell.

Although it is a fact that machine learning is the subset of artificial intelligence, both technologies may be used for different purposes. Where AI may work without machine learning concept but there are no chances that the machine learning could work without artificial intelligence.

Now if you want to make a product smart whether it is a robot, a refrigerator or a car you have to go for artificial intelligence. Besides if your idea is to make your product smart and can learn on its own, then your choice is definitely machine learning. For ml development, you can get help from the AI and machine learning companies to work on your next AI/ML application.