'Ecommerce businesses have a problem - one that causes lost customer revenue, yet has been historically nearly impossible to solve' Geoff Huang, VP of Product at Sift The problem stems from the inability to know their false-positive rate, which is the percentage of orders from legitimate customers that are mistakenly blocked as fraud. According to a survey conducted by CNP, 42% of ecommerce merchants don't know their false-positive rate (also known as customer insult rate). That is a startling statistic--nearly half of online sellers have no visibility into the number of good orders they inadvertently block or the subsequent revenue lost from those orders. And the news, unfortunately, doesn't get much better. Sift polled 1,000 adult consumers and found roughly 25% of insulted online shoppers--those who were falsely declined--will take their business to a competitor.

While artificial intelligence is increasingly being used for dealing with customer issues, those customers have mixed feelings about it. Nearly half (47%) of consumers do not enjoy having customer issues resolved without human interaction, according to a new study. Of those, 41% generally like dealing with a real person and 6% say AI has failed them in the past, according to the study, comprising a survey of 1,000 U.S. adults conducted by Blue Fountain Media. More than half (53%) say they enjoy getting customer service issues resolved without human interaction. However, 25% of them enjoy AI-based customer service, such as a chatbot, but say there definitely is room for improvement, with AI sometimes getting stuck in a loop.

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at any scale. In addition to building ML models using more commonly used supervised and unsupervised learning techniques, you can also build reinforcement learning (RL) models using Amazon SageMaker RL. Amazon SageMaker RL includes pre-built RL libraries and algorithms that make it easy to get started with reinforcement learning. For more information, see Amazon SageMaker RL – Managed Reinforcement Learning with Amazon Sagemaker. Amazon SageMaker RL makes it easy to integrate with various simulation environments such as AWS RoboMaker, Open AI Gym, open-source environments, and custom-built environments for training RL models.

E-commerce will have grown 5% by 2021, meaning it will soon make up 17.5% of total global retail sales. Perhaps the single most powerful driving force behind the industry's growth so far has been technology. From rapid improvement in smartphones to new software that creates immersive and frictionless customer experiences, advancements in tech are paving the way for the future of e-commerce. Technology is often viewed as impersonal, something that provides a uniform experience to every user, no matter who they are. But in fact, many advances in e-commerce technology are focused on exactly the opposite: providing personalized, one-on-one interactions between brands and individual shoppers, but at scale.

Amazon on Monday announced it will now offer its cashierless store technology, called "Just Walk Out," to other retailers. The technology uses a combination of cameras, sensors, computer vision techniques and deep learning to allow customers to shop, then leave the store without waiting in line to pay. This is the same technology that today powers the Amazon Go cashierless convenience stores and Amazon's newly launched Amazon Go Grocery store in Seattle. Reuters first reported the news just ahead of Amazon's official announcement, adding also that Amazon says it has signed "several" deals with initial customers interested in using Just Walk Out in their own stores. Amazon did not say who those customers are, however.

In recent years, there has been a greater demand on retailers to adapt to rapid changes in consumer attitudes and the marketplace in order to keep up. Customer experience is very much dependant on retail operations, which have the potential to make or break a customer's journey. It's imperative for retailers to adopt a globally competitive business model, and using artificial intelligence technologies can break down barriers and make it easier to communicate with customers. It's now become possible for businesses to continuously scrutinise customer behaviour data and generate alerts through the power of machine learning. Most companies are already rich with data.

WASHINGTON--Amid rising calls for regulation, technology companies are pushing for laws that would restrict use of facial-recognition systems--and head off the more severe prohibitions some cities and states are weighing. Inc. and others stand to profit as government agencies and businesses expand use of the technology, which can require large investments in machine-learning and cloud-computing capacity.

Listen to what Jeff Bezos, Elon Musk and Jack Ma have to say about the way artificial intelligence will impact the future of work. Whether we like it or not artificial intelligence continues to increase in our every day lives. The Future of Work will definitely be different that what it is today. Understand the changes that are coming. "By 2029, computers will have emotional intelligence and be convincing as poeple."

Over the years, the basic retail experience has remained more or less the same for the consumers. You go to a store, you look for the right product, and you make a purchase. But for the retailers, it is ever-changing. Analyzing consumer behavior is one of the biggest challenges that CPGs all around the world face. With increasing complexities, traditional auditing methods have proved inefficient.

On the heels of the planet's biggest technology show in CES, comes "The Big Show," otherwise known as NRF (National Retail Federation), which commences annually in NYC and is focused on what's next for the retail industry. Over the past year, Amazon received a lot of attention for the frictionless shopping technologies that it is already integrating into Amazon Go stores. The model systems to have already been accepted as the standard for future retail experiences, and with Amazon's acquisition of Whole Foods, there have been rumblings that the chain could eventually see itself go in that direction. Amazon hasn't gone without competition in that space, however. In 2018, Microsoft and Walmart made waves with a new partnership that leveraged Microsoft Azure and AI to help Walmart improve in-store experiences.