So, you are into e-commerce & struggle to keep up with Amazon (which boasts the #1 app among Millennials and Centennials and made over $ 43 billion in Q3 2017)? This article explains how using e-commerce AI solutions can help deliver the ultimate shopping experience, reduce operating and staffing costs and boost revenue.

What you see and experienced so far is just the beginning of what is forecast to be a billion-dollar industry in less than 10 years. Many top brands, including Uber, Sephora, and CNN, have already adopted chatbots. Still wondering what is a chatbot? Here are 11 amazing facts that might help explain what really it is and how it's changing the world of digital technology. The top four messaging apps are bigger than the top four social networks, according to BI Intelligence.

Updating an application is significantly important for both software developers and users. Paying attention to the tips overviewed in this article can help you to update an app properly, bring the highest quality of features to the users of your software and improve overall user experience of your app.

The last couple of years have seen a dramatic increase in the popularity of deep learning, an approach to artificial intelligence inspired by a human brain's activity. To this day, deep learning models have introduced advanced solutions in the areas of computer vision, pattern recognition, natural language processing and other. To create a better understanding of the potential this technology has, let's review some successful use cases of deep learning applied in research and business.

In today's world, it is emerging tech that enables companies to cut operating costs, boost productivity and deliver the ultimate customer experience. Artificial Intelligence is one of these game-changing tools and currently tops Gartner's Strategic Technology Trends list. How to leverage the power of AI for business growth – and is the game actually worth the candle? Over the course of six years – namely, since IBM Watson's infamous 2011 win in Jeopardy – Artificial Intelligence has become a poster child for IT experts, top tech websites and politicians. Smart computers and apps have developed an astonishing ability to crunch tons of data down to something meaningful and make decisions based on well-documented facts rather than subjective conclusions.

The effectiveness of Artificial Intelligence and what it can do for the end user cannot be explained in a few words because it is a very vast concept that influences every industry and business – big and small. And the fusion of Artificial Intelligence and Social Media has brought about a big bang that leads to the creation of a totally new wave of marketing and "getting to know the customer" scenario. This union, known as Social Artificial Intelligence or Social AI, aims to offer improved customer experience, by providing companies better insights through data centering around customer history, their behavior, their buying frequency and engage them so that they get converted. Through Social AI, businesses can now better understand the needs and interests of the buyer and release products that match customer requests; with the help of Machine learning and Natural Language Processing. Here is how you can use Social AI to reach out to more people, understand customer behavior and earn brand loyalty.

The Internet of Things (IoT) is made up of the everyday objects and devices we use, with a key difference: everything is computerized, with network connectivity built right in. These IoT devices can be almost anything: sensor-enabled buildings, bridges, or pavement; 'smart' vehicles, appliances, and devices; or, wearables like the Apple Watch, Google Glass, or Fitbit. And with sensors and technology like Bluetooth Low Energy (BLE)--one-way communication from objects to nearby mobile devices--when we're close to an IoT object, our phones can listen for signals, get information, or control these objects. Experts estimate that the IoT will consist of almost 50 billion objects by 2020. This has massive implications on nearly every industry--and the amount of network traffic and data we'll be creating and consuming.

Although modern AI algorithms are pretty good at identifying data patterns, we're still a few years away from losing our jobs to robots and smart voice assistants. Unless you possess unlimited financial resources and tech expertise, building neural networks as a primary business might not be a good idea. However, there are certain types of apps where AI (if used correctly!)

Imagine a world where you could sell a product to a consumer who's looking to buy exactly what you sell. If such a world existed, it would represent the holy grail of marketing. Instead of spending money on expensive advertising campaigns, marketers would simply find who needs what they have to sell, and they would sell it to them. Unfortunately, such a world doesn't exist. But there's a marketing technique that has allowed marketers to create better targeted, more effective messages that are very likely to resonate with prospects and customers.

How do you teach a computer what a cat looks like? Or how to play Go? Or how to bet on the stock market? To solve some of the toughest challenges in AI, data scientists and developers turn to neural networks, machine learning systems inspired by the human brain. Here, we cut through the buzzwords to explain how these networks work and how they're being applied today.