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Artificial Intelligence May Have Cracked the Code to Creating Low-Priced Works on Canvas

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What better time for a "next-generation" version of art to come crashing into the art world than 2021? After all, this is the unprecedented year that saw an explosion of demand and sales of NFTs or non-fungible tokens, which are inextricably tied to crypto-currency and blockchain technology. Specifically, we're now talking about art created by "artficial intelligence"… yes, the machines are taking over art too. In 2018, Christie's sold Portrait of Edmond de Belamy (2018), the first-ever original work of art created using artificial intelligence to come to auction (it sold for $432,500 against a high estimate of $10,000), Inspired by reports of the sale, Ben Kovalis and two like-minded childhood friends from Israel, Eyal Fisher and Guy Haimovitz, launched the Art AI Gallery one year later, in late 2019. It involves collections of curated work made using an algorithm that was created over the course of six months and then refined over the next year and a half.


Mexican Artificial Intelligence startups with a global profile

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In recent years, Mexican startups have emerged considerably, so much so that many of them have become benchmarks not only in the region, but throughout the world. The reasons are various, from the enormous talent and potential that entrepreneurs have to exploit new digital technologies, to the geostrategic position that the country has. Another factor that has a favorable influence is that currently in Mexico there are various supports, coming from both the private and government sectors, that promote the emergence of innovative and technological service startups . And it is that for the national economy to continue growing, industries must have businesses that bet on innovation and that implement 4.0 technologies such as: Artificial Intelligence (AI), Big Data, Robotics, Blockchain, Machine Learning, Cloud Computing, among other. From emerging companies That focus on fintech, e-commerce and retail solutions, there are many Mexican Artificial Intelligence startups with a global profile .


5 Reasons You Must Consider to Have Chat Bots on Your Website

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Generally, e-commerce websites experience huge traffic on the website during the vacation phase or when there's a purchase on your website. Other business websites experience incoming traffic during business-related events. During such events, you can't just believe the human staff to attend to all the queries and resolve the concerns efficiently. Even your live chat staff wouldn't be ready to help your customers by providing satisfactory communication. Here comes the role of chatbots.


Why Studying Mind is Important in AI?

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" Cognitive science and AI have a symbiotic relationship between them" Living organisms always contributed to the inspirations for so many modern technologies. Of course the first example that come to mind will be cameras, which can be seen as an artificial eye having lenses and light sensitive surfaces. These are well studied in the subject called bio mimicry. Now it's reached the time for more research on mimicking human intelligence, which gave birth to the broad field of artificial intelligence. Discussing the significance of AI lead us to the huge applications like self-driving cars, intelligent e-commerce websites etc. and accomplishments include playing games like chess and go, in which, you should be surprised to know that the games like Go are extremely complex and its possible configurations are beyond the number of particles in this universe.


Fake It to Make It: Companies Beef Up AI Models With Synthetic Data

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Companies rely on real-world data to train artificial-intelligence models that can identify anomalies, make predictions and generate insights. To detect credit-card fraud, for example, researchers train AI models to look for specific patterns of known suspicious behavior, gleaned from troves of data. But unique, or rare, types of fraud are difficult to detect when there isn't enough data to support the algorithm's training. To get around that, companies are learning to fake it, building so-called synthetic data sets designed to augment training data. At American Express Co., machine-learning and data scientists have been experimenting with synthetic data for nearly two years in hopes of improving the company's AI-based fraud-detection models, said Dmitry Efimov, head of the company's Machine Learning Center of Excellence. The credit-card company uses an advanced form of AI to generate fake fraud patterns aimed at bolstering the real training data.


Balpreet Singh on LinkedIn: #technology #ecommerce #robotics

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Robot Enabled Nike Warehouse fulfills? Nike at their Chiba (Japan) warehouse started using Automated Mobile Robots(?? It is a robot that can understand and move through its environment without being overseen directly by an operator. Rather than being restricted to fixed routes, an AMR can navigate dynamically using a map, allowing it to plan its own paths and travel quickly and efficiently. Let's get back to Nike Use case. Geek, a startup based in Beijing, is considered the Amazon Kiva ( now Amazon Robotics) of China.


Add Voice Search to Improve e-Commerce Engagement

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In our high-speed, multi-tasking culture, fundamental shifts are happening in the way we interact with search technology. Today, mobile devices are the source of 60% of all online searchers. As voice-to-text technology has improved on smartphones and other devices, so has adoption of voice-based commands. In their research recap "Prepare for the Voice Revolution" PWC reports the majority of survey respondents said searching online with voice assistants--like Apple's Siri and Amazon's Alexa--is easier, more convenient, and faster than speaking to a human or texting on a phone. Although younger mobile-first consumers are driving adoption, PWC states, they aren't using the tech as frequently as their 55 counterparts.


5 Essential Applications Of Machine Learning In Ecommerce

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Over the years, the relationship between ecommerce and machine learning has become stronger, with concepts such as artificial intelligence (AI) having a profound impact on how online businesses interact with their audience and how customers buy products. In fact, a recent survey highlighted 51% of ecommerce players have introduced machine learning automation technologies across sales, marketing and customer services to create a better customer experience. Furthermore, the AI industry is expected to generate $118.6 (£84 billion) a year by 2025. These stats highlight machine learning in ecommerce is going to continue going from strength to strength and in this article, we'll explore five essential applications of machine learning in the ecommerce space. We're living in an age where personalisation has become an expected part of the shopping experience.


How To Grow Your eCommerce Revenue With An eCommerce AI Chatbot?

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There are many types of eCommerce AI chatbots available today that help with all different aspects of an eCommerce store. AI chatbots can boost sales and revenue by showing shoppers exactly the product they were looking for which was often hidden in complex menus, acting as a shopping assistant providing product recommendations, and aid customer support by immediately answering customer questions about a product, order status, and more. An AI chatbot built for eCommerce is not that expensive and has a high rate of return. The average increase in revenues when a shopper engages with the chatbot is 20% to 40%. There are also other benefits such as an average reduction in support tickets of 25% to 45%.


PayPal uses story based analytics to process 33 mln transactions per day - ET CIO

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In conversation with ETCIO, Dr. V. Chandramouliswaran, Senior Director, Global Financial Crimes and Customer Protection & Chennai Centre Head at PayPal talks about why he feels PayPal is in the risk business and how the company is using a story-based analytics approach to fight frauds and risk in its payment business. "We process approximately 33 million-plus transactions per day, a bit more than $22k of payments per second, and serve over 390 million active customers. We have more than 500 petabytes of data in the systems out of which risk alone uses close to 2 petabytes of data to make decisions in mini seconds. All of us are used to instantaneous approvals and so risk leverages a significant amount of data to make these decisions," Chandramouliswaran said. According to him, over three trillion events are added each day to PayPal's systems.