Artificial Intelligence refers to the simulation of human intelligence to the machine that is programmed to act and think like the human mind and mimic the behavior of humankind. Human does have some limitation like a human can’t do certain after a certain limit but using human mind we can overcome this limitation with the help of the machine.


Machine Learning (ML) is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. ML focuses on the development of computer programs that can access data and use it to learn for themselves.


Deep Learning (DL) is a variation of machine learning — it involves the ability of machines to develop self-learning capabilities from large amounts of data using huge neural networks with many layers of processing units. Common applications include image and speech recognition.


It is the world’s largest online marketplace, AI assistant provider, live-streaming platform and cloud computing platform as measured by revenue and market capitalization. Amazon is the largest Internet company by revenue in the world.

If I talk about Amazon, like how they use the AI for enhancing and evolving their market

Since its earliest days, Amazon has used AI to come up with product recommendations based on what users already said they liked. The algorithms behind those systems have been tweaked again and again over the years.

For some time, Amazon has used machine learning in its fulfillment centers to improve ability to predict what customers are ordering and placing it in the right place, and also to improve the efficiency and speed with which we get things to consumers.

Other Amazon AI and machine-learning efforts power the Alexa voice assistant, give users of Amazon Web Services access to cloud-based tools, allow shoppers to grab items and walk immediately out of Amazon Go stores, guide robots carrying shelves full of products directly to fulfillment-center workers, and much more. And while the technology is vital to Amazon across most of its businesses, the range of its applications is still stunning.

The new system, which took about 18 months to develop, uses computer vision and machine learning algorithms to evaluate how a worker is touching items and determine when those items have been placed in a bin. The algorithms as among the “more sophisticated” news Amazon is using, given the need to tell whether a worker is holding up an item alongside a bin or actually placing it inside one. The system has to be able to work in different lighting conditions, and regardless of how full the bins are.

New fulfillment center system involves using cameras and AI software to detect someone holding an item and placing it on a shelf. The same technology is in use at Amazon Go, Amazon’s automated grocery stores that allow customers to walk in, grab what they want, and simply walk out the door, with everything being charged to their account automatically.

AI-based innovation that allows workers in those fulfillment centers to skip one manual item scanning step per order is a big win for the company. The new technique is being applied to Amazon’s long-standing stowing process, which lets workers store items that have arrived from distributors and manufacturers anywhere on a warehouse’s shelves–so long as their location is recorded in a computer so that they can be found again on the first try. The method which has been in use has involved workers grabbing an item out of a box, using a bar-code scanner to scan it, placing it on a shelf, and then scanning the shelf. The dual scanning associates the item with its location.

One of the primary drivers of Amazon’s rise to a near-trillion-dollar company has been Amazon Web Services, its massive cloud-based storage and server business. AWS has become a cloud standard for companies and developers wanting access to the same kind of AI and machine learning technology that powers Amazon offerings such as Alexa, Amazon Go, Amazon Prime Video’s X-Ray feature, estimates for product delivery times on, and more.

AWS added more than 100 new features or services to its machine learning portfolio. One of them is DeepLens. Designed so that developers can build and fully train a machine learning model within 10 minutes of unboxing, the camera system is already being used in many ways Amazon never imagined. It’s more of a fully integrated software platform than a camera.

You can deploy a model into AWS DeepLens through Amazon Sage Maker which is found in the Machine Learning section of the AWS console. Models are trained in Amazon Sage Maker but you can import other models into DeepLens by indicating their 3S location.

You’ll only require internet connectivity to deploy the model to your device from AWS unless your project requires interaction with the cloud. Once the project is received by the DeepLens unit, all inferences are performed locally. However, it only connects with Wi-Fi networks which only have alphanumeric characters. DeepLens is one of the best tools available for improving AI and machine learning skills.

As we see, technology is updating every day which leading the companies to adopt such technologies and organize the work culture as much as possible.

Finally , AI/ML is the great thing which is going to rule our future .In the coming future ,every thing will be driven by AL no doubt.