The technology inside Amazon's new convenience store, opening Monday in downtown Seattle, enables a shopping experience like no other -- including no checkout lines. It feels as if you are entering a subway station. A row of gates guard the entrance to the store, known as Amazon Go, allowing in only people with the store's smartphone app. Inside is an 1,800-square foot mini-market packed with shelves of food that you can find in a lot of other convenience stores -- soda, potato chips, ketchup. It also has some food usually found at Whole Foods, the supermarket chain that Amazon owns.

Amazon's bid to automate the convenience store is finally ready for the public. The company has confirmed that the Amazon Go store attached to its new Seattle headquarters will be open to non-employees on January 22nd, or more than a year later than planned. The premise remains the same. You have to scan in with a smartphone app when you enter the store, but it's largely friction-free beyond that. A computer vision AI system tracks the items you remove from the shelves, letting you walk out without talking to a cashier or using a self-checkout machine.

Clay Johnson has worked at a number of iconic brands, from FedEx to Boeing to General Electric. Roughly a year ago, he joined yet another icon in Walmart. In so doing, he joined a company with 2.3 million associates, 5,000 stores in the U.S. alone, and a complex mix of technology. His priorities in the early days were to meet as many people as possible, to learn the business, and to understand the projects that were ongoing. He has begun to enact a cultural change within the IT department, and he indicates that the four steps he has followed has been to be transparent, to foster open debates, to push everyone to speak up, and to incorporate a fail-fast approach to work.

As we all know, technology is playing its cards right in changing the present-day business scenario, with Artificial intelligence (AI) becoming the "not-so-hidden" ace here. From picking out valuable details from the mountain of big data to utilizing that information to empower the process through intelligent, machine-learning bots, AI is already bolstering sales efforts. And there's so much that this maverick aid can do, through the following ways: The Internet has become a wizard of sorts which can predict your demands based on the requirements you have put. This is due to the adoption of Artificial Intelligence (AI). Deep learning algorithms have already started working their bit to forever uplift the world of automated ads, to that extent that they can now predict the online behaviour of an average user.

Bengaluru: Online retailer Amazon India is fast increasing the adoption of machine learning technology in order to cut product returns, improve the speed and accuracy of product deliveries, provide more relevant search results and improve efficiency in other areas of its business. Inc. is one of the global leaders in artificial intelligence and machine learning technologies, along with the likes of Google, Facebook Inc. and Microsoft Corp. In India, the company has been relatively slow in using machine learning, mostly because it launched in the country only in June 2013. Now that it's accumulating increasing quantities of data on customers, the company is increasing the adoption of machine learning in its business. "There are a lot of problems that are India-specific where you need machine learning," said Rajeev Rastogi, director, machine learning at Amazon India (Amazon Seller Services Pvt.

In less than 20 years, Alibaba has become one of the top ten largest companies in the world, primarily due to its success as an online retailer. The internet has changed the way that we shop, and as such the company is pumping money into research projects that will help ensure that it can keep up with the next game-changing advance in e-commerce.

At Bossa Nova we create service robots for the global retail industry. Our robots' mission is to make stores run efficiently by automating the collection and analysis of on-shelves inventory data in large scale stores. Navigating smoothly along the aisles, we circulate autonomously among busy customers and employees. If we were a self- driving car we'd be operating at level 5 autonomy. Yep, it is possible to move, scan and analyze all at the same time.

Whether you're new to deep learning or want to build advanced deep learning projects in the cloud, it's easy to get started by using AWS. The AWS Deep Learning AMIs, available in both Ubuntu and Amazon Linux versions, let you run deep learning applications in the cloud at any scale. The Amazon Machine Images (AMIs) come with pre-installed, open source deep learning frameworks including Apache MXNet, TensorFlow, the Microsoft Cognitive Toolkit (CNTK), Caffe, Caffe2, Theano, Torch, and Keras. With the AMIs, you can train custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques. There is no additional charge to use the AMIs--you pay only for the AWS resources needed to store and run your applications.

Wal-Mart's chief technology officer, Jeremy King, points out that this is a task humans aren't very efficient at doing. "If you are running up and down the aisle and you want to decide if we are out of Cheerios or not, a human doesn't do that job very well, and they don't like it," he said. The robots are 50% more productive at scanning shelves and can complete the task three times faster than employees, while being much more accurate. Currently, associates can only scan store shelves twice per week.

By December, more than 6,985 stores closed across the US, according to retail think-tank Fung Global Retail & Technology. It also beats the previous all-time high of 6,163 store closings that took place during the 2008 financial crisis, according to estimates by Credit Suisse. The reality is that many stores are closing for the same reason they've always closed -- they simply don't meet the needs and demands of customers. But at a time when consumers are empowered with choice and market conditions are increasingly volatile, new technologies can help brands and retailers drive valuable business efficiencies, and improve the overall customer experience and value proposition. "The biggest upside to technology in fashion will be the ability to offer consistency, and being able to personalise the customer's shopping patterns," said Robert Burke, chief executive of retail consultancy firm Robert Burke Associates.