First, it was the advent of the World Wide Web that changed how the world worked. Then with digitalization came eCommerce as businesses around the world established their presence online to reach people beyond borders. With innovations in technology, digital commerce is rising to the top with an expected grossing of $700 billion by the year 2022. The integration of AI will take it a step further with access to online portals for safe and profitable transactions. Artificial intelligence will influence the digital market, not just for entrepreneurs but for consumers as well.

The popularity of deep reinforcement learning (DRL) methods in economics have been exponentially increased. DRL through a wide range of capabilities from reinforcement learning (RL) and deep learning (DL) for handling sophisticated dynamic business environments offers vast opportunities. DRL is characterized by scalability with the potential to be applied to high-dimensional problems in conjunction with noisy and nonlinear patterns of economic data. In this work, we first consider a brief review of DL, RL, and deep RL methods in diverse applications in economics providing an in-depth insight into the state of the art. Furthermore, the architecture of DRL applied to economic applications is investigated in order to highlight the complexity, robustness, accuracy, performance, computational tasks, risk constraints, and profitability. The survey results indicate that DRL can provide better performance and higher accuracy as compared to the traditional algorithms while facing real economic problems at the presence of risk parameters and the ever-increasing uncertainties.

With an increasing number of digital text documents shared across the world for both business and personal reasons, the need for translation capabilities becomes even more critical. There are multiple tools available online that enable people to copy/paste text and get the translated equivalent in the language of their choice. While this is a great way to perform ad hoc translation of a (limited) amount of text, it can be tedious and time-consuming if performed frequently. Your organization may largely depend on content to document your products and services, teach your customers how to interact with you, or just share the cool things you are doing. This content is often text-heavy and mostly written in English.

Last week I spoke to executives from a large AWS customer and had an opportunity to share aspects of the Amazon culture with them. I was able to talk to them about our Leadership Principles and our Working Backwards model. They asked, as customers often do, about where we see the industry in the next 5 or 10 years. This is a hard question to answer, because about 90% of our product roadmap is driven by requests from our customers. I honestly don't know where the future will take us, but I do know that it will help our customers to meet their goals and to deliver on their vision.

In 2010, Japan's telecom operations partnered with a robotic manufacturer to develop a humanoid robot that can interact with customers and perceive human emotions. In Japan, where it is used as customer service and representative in mobile stores. Additionally, the retailer experienced a 98% increase in customer interactions, a 20% increase in foot traffic and, a 300% increase in revenue. While not the only retail robot in use, in-store robots appear to at least initially boost store interest and sales. This is a great effect that will wear off once retail robots become the norm remains to be determined.

In London's Westfield shopping center, a pop-up store sells products that are trending in real time. Its stock is put together using data collected from social media. The artificial intelligence (AI)-powered store tracks over 400,000 global social media accounts that are known for being early trend setters and strong influencers, and taps into more than three billion data points across the internet to determine which clothing, accessories and footwear are most popular and will sell best. Stylists then source these items from other stores both in the shopping center and online to create a curated selection of 100 products at a time. Could this be the future of retail?

Being an early adopter of artificial intelligence and automation, Amazon always had an edge in using AI to improve its business efficiencies. Not only has it been using AI to enhance its customer experience but has been heavily focused internally. From using AI to predict the number of customers willing to buy a new product to running a cashier-less grocery store, Amazon's AI capabilities are designed to provide customised recommendations to its customers. According to a report, Amazon's recommendation engine is driving 35% of its total sales. One of the main areas where Amazon is applying continuous AI is to better understand their customer search queries and what is the reason they are looking for a particular product.

Keeping up with ever-demanding customers and fierce competition requires setting eyes on tiniest details. Customers were never so picky, but we cannot judge in the times of abundant choices – we have to adapt. When it comes to retail business, apart from offering a high-quality product, customers are seeking for enhanced customer experience, and that's the aspect that makes a whole difference. Did you know that artificial intelligence (AI) in the retail business was valued at $650 million in 2017., and the predictions show the rapid growth of around 40% until 2024.? Keep reading as we're going to talk about the ways AI can improve the performance, productivity, and ROI of your retail business. No being able to satisfy demanding customers can potentially lead to negative business results such as higher inventory costs or losing the customers due to not having the item on demand.

Shopping has never been so easy. Gone are the days when you would have to take long shopping lists to the stores and come back home only to realize that you forgot to buy toothpaste. Today, you could just find the right one in a matter of seconds online through an online tech giant. And this dominating giant tech company that is strategically taking over the industry and growing exponentially is Amazon. The company has already established itself as a leader in the online retail space -- according to eMarketer, it was expected to account for almost half of the total U.S. e-commerce dollars spent in 2018.

Gartner predicts 81 per cent of all purchases in 2020 will be based on customer experience and this is largely due to the boom of e-commerce. Today, logistical issues of shopping such as lengthy queues, limited opening hours and heavy bags have seemingly vanished. Shoppers are armed with extensive product and pricing knowledge – available through effortless online research – to identify the most desirable products and best deals. But with customer expectations growing exponentially as a result, retailers must also evolve to lead the way through digital innovation and become a'brand of the future'. As we progress through 2020, retailers need to make sure their customers can seamlessly switch between online and offline channels by tying online marketing to offline actions such as in-store visits and sales.