How big data and AI help online retailers compete in the digital era

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As brick-and-mortar retailers continue to struggle against online competitors, some are seeking out services that leverage big data and personalization to increase e-commerce sales. "During the rise of big data, it was said that data was the new oil," Brian Solis, principal analyst at Altimeter, told TechRepublic. "In an era of AI and machine learning however, personalized data is the new competitive advantage and will only become standard CX on the horizon." Indeed, 72% of retailers reported that AI will be a "competitive necessity" in the next five years, according to a recent Oxford Economics survey. One such tech option for retailers looking to fight off the competition is uSizy, a recommendation technology for fashion apparel and footwear businesses, which unveiled its latest product, uSizy Smart Business, on Wednesday.


Beyond the Nash Equilibrium: DeepMind's Clever Strategy to Solve Asymmetric Games

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Game theory is one of the most relevant aspects in modern multi-agent artificial intelligent(AI) systems. To some extent, the recent evolution of AI has triggered a renaissance in the field of game theory fostering innovation across all sorts of new areas. One of those areas is the field of asymmetric games that describe settings in which different players can follow different strategies. Last year, Alphabet's subsidiary DeepMind published a super innovative way to tackle asymmetric game problems. DeepMind's breakthrough can have profound implications in modern multi-agent, AI systems that are often modeled as asymmetric games.


Neanderthal - Fast Native Matrix and Linear Algebra in Clojure

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Built with Clojure in mind, and implemented in Clojure. Sane interface and functions that fit into functional style while still respecting the reality of number crunching. Comes with fast primitive versions of map and reduce. Pluggable engine implementations - even a pure Java engine could be plugged in for the cases when speed is not the priority.


Microsoft inches closer to releasing its AI-powered Scheduler bot ZDNet

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In 2016, Microsoft announced an AI-powered bot called Calendar.help. Since then, the bot, which uses Cortana to help users schedule meetings, entered private preview. It looks like Microsoft is about ready to make that chatbot -- renamed Scheduler -- generally available. URL now redirects to calendar.help. And there are a couple of AI-powered scheduling sessions slated for Microsoft Ignite, Microsoft's IT-pro-focused conference happening the first week of November.


Using Deep Learning to 'See' Inside Homes Across the World - The Good Men Project

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How much does someone's living room tell about how they live? Peeking into another person's life might be just part of natural human curiosity, but the answer to this question may provide insights in a wide range of aspects of human behavior. A new study published in EPJ Data Science uses the power of machine learning to explore patterns of home decors--and what they could tell about their owners--in popular accommodation website Airbnb. The Internet has provided the world with more images than can be viewed in a lifetime. Some sites, like Craigslist, Zillow, and Airbnb, specifically let us see the interiors of peoples' homes, nests of revealing human creativity, design, style and culture.


Everyday Examples of Artificial Intelligence and Machine Learning Emerj

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With all the excitement and hype about AI that's "just around the corner"--self-driving cars, instant machine translation, etc.--it can be difficult to see how AI is affecting the lives of regular people from moment to moment. What are examples of artificial intelligence that you're already using--right now? In the process of navigating to these words on your screen, you almost certainly used AI. You've also likely used AI on your way to work, communicating online with friends, searching on the web, and making online purchases. We distinguish between AI and machine learning (ML) throughout this article when appropriate. At Emerj, we've developed concrete definitions of both artificial intelligence and machine learning based on a panel of expert feedback. To simplify the discussion, think of AI as the broader goal of autonomous machine intelligence, and machine learning as the specific scientific methods currently in vogue for building AI.


AI's Greatest Gift to Your Customers? The Vanishing Interface

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Digital experience technology is at its best when it disappears. When it melts into the customer's day. Its history has been one of incrementally removing friction from experiences until you forget the digital interface is there. Consider the humble checkout: from a multi-field form-fill for every purchase, to auto-populating upon login, to one-click, to a passing comment at a virtual assistant. The e-shopping example is an embodiment of the pursuit of the digital experience holy trinity: convenience, speed and usability.


7 Reasons Why your Business needs a Chatbot? - Maruti Techlabs

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If you are a small or medium business owner who wants to expand his/her business online, then chatbots can play a significant role in your success story. Chatbots can deliver the two essential requirements for any online business today – quality products and market presence. With the chatbot business solution, you can use smart AI technologies to keep your customers engaged in meaningful business to business conversations. This will enhance your knowledge base and help you in developing better products for your clients. Furthermore, you will be able to offer a quicker and more accurate support service to customers, enhancing your brand's reputation.


Pure Storage launches AI Data Hub, builds out AI workflow effort ZDNet

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The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus build. Pure Storage launched a bevy of artificial intelligence tools, including the AI Data Hub, which are designed to meld storage and AI workflows from design to deployment. The storage company said it co-developed the AI Data Hub with Nvidia to break down the data silos that hamper analytics and model development. Storage vendors have been increasingly focused on AI workloads and managing data workflows instead of just storing it. Pure has been using its AI-Ready Infrastructure (AIRI) and expertise in solid-state storage via its Flashblade infrastructure to grab next-gen workloads.


Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics

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We live in an age of paradox. Systems using artificial intelligence match or surpass human level performance in more and more domains, leveraging rapid advances in other technologies and driving soaring stock prices. Yet measured productivity growth has declined by half over the past decade, and real income has stagnated since the late 1990s for a majority of Americans. We describe four potential explanations for this clash of expectations and statistics: false hopes, mismeasurement, redistribution, and implementation lags. While a case can be made for each, we argue that lags have likely been the biggest contributor to the paradox.