By Avik Chanda In 2013, as a fresh B. Tech graduate, Shranik Jain lived and breathed only technology – his chief interests at that time were all centred around the intricacies of Intel's 3D Tri Gate Transistor. But six years on, his work as a Product Manager for IndiaMART InterMESH Limited has taken him to an area that traditionally wouldn't have been in the remit of his job description. "Over the years, significant changes have taken place in the product management role," explains Shranik. "We are now focusing majorly on User Experience Design. The primary emphasis is on customer empathy, while leveraging techniques like machine learning, thereby assisting us in better decision making."

Dynamics 365 Commerce, now in preview, delivers a complete omnichannel solution that unifies back-office, in-store, and digital experiences built on Dynamics 365 Retail capabilities. Retail is one of those industries that everyone can relate to. Shopping is ingrained in our daily lives, with today's consumer demanding engaging and integrated shopping experiences across storefronts–physical stores, online and mobile. As traditional commerce channels are disrupted and new ones emerge, shoppers have ever-greater control of their experience, from researching product price and quality to maximize the value of every dollar spent, to purchasing from the brand that offers the most personalized, convenient service. With this power shift comes a great opportunity for retailers.

When we talk about machine learning, we're talking about a direct application of artificial intelligence that allows a system to learn from experience rather than instruction. In the on-demand delivery space, companies are putting machine learning and predictive analysis to use to track trends, pre-empt requests and enhance the last-mile delivery service. Our'always-on' culture means that customers expect rapid and relevant user experiences. Today, delivery companies have to be agile and responsive in order to retain customers. One glitch, one delay and customers could take their business elsewhere.

As Artificial Intelligence (AI) is considered and trialed across a variety of industry sectors, it is hoped that its implementation in the future could improve production, cut waste and even reduce the number of paid employees for businesses. With this in mind, this month we are taking a look at a variety of industries where AI technology could make an influence. The Construction industry – The construction industry is well-known for being'under-digitalised'. It is hoped that a combination the construction industry will adopt a combination of AI and 3D printing technology to automate many processes and cut down on wasted materials whilst aligning to new environmental standards. Comprehensive databases will be able to monitor stock and even schedule projects according to the weather, whilst self-operating and self-driving machinery are already being trialed to take on repetitive manual tasks to free up employees.

Some say the rise of eCommerce portends the fall of Retail. But both Retail and eCommerce increasingly rely on progressively sophisticated Machine Learning solutions to get better business insights and drive demand. In advance of the Data Science Salon taking place in Seattle on October 17, we asked our speakers to shed some light on how Artificial Intelligence and Machine Learning are impacting one of America's most disruptive industries – retail and ecommerce. There's no doubt that the landscape is changing quickly, and the next big ideas are being driven by most robust ML deployments. We're definitely seeing the needle move on the business analytics side according to Dhivya Rajprasad, Data Scientist at Levi Strauss & Co. "ML is slowly moving from primarily in the area of technology to retail from inventory forecasts to assortment planning to empower and make business decisions which rely on intuition to becoming more data driven."

"Mirror, mirror on the wall. . The idea of a mirror not only reflecting your image back to you but also augmenting it is no longer a fairytale. Several companies have made significant progress in creating smart mirrors, also called digital mirrors or smart displays, that can help you in the dressing room as well as when you're in the hair stylist's seat or shopping for makeup. The silver-glassed mirrors most of us are familiar with today got their start more than 200 years ago in Germany. While they still serve a useful purpose when reflecting your image back to you, some fashion and beauty leaders figured that if you added smart technology to mirrors, they could elevate the customer experience.

AI has changed the retail landscape. But only 50% of retailers are currently using it in their businesses. To find out what retail will look like when AI is fully integrated watch our new documentary now.

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Which One is Faster -Laikago By Unitree Robotics Meeting Spotmini From Boston Dynamics. Chinese roboticist Xing Wang has long been a fan of BigDog, AlphaDog, Spot, SpotMini, and other robots that Boston Dynamics has famously introduced over the years. "Marc Raibert … is my idol," Wang once told us about the founder and president of Boston Dynamics. For more info: http://www.unitree.cc/e/action/ShowIn... SpotMini The new SpotMini looks much more polished and less grotesque, like a real-life cross between a Pixar animation and a robot out of a Neill Blomkamp vision of the future, thanks in part to series of bright yellow plates covering its legs and body. The new bot's movement also looks incredibly fluid.

In recent years, our fascination with the potential of AI has taken a more starry-eyed turn, as shown in the 2013 sci-fi drama "Her," where the main character falls in love with a virtual assistant. In reality, artificial intelligence (AI) technology is quickly permeating every aspect of our lives. From Amazon's voice-activated Alexa to writing technology that helps managers craft job postings, AI is in our hearts, homes and workplaces. And it's only going to become a bigger part of our lives: Experts call the rise of AI the driving force behind the fourth industrial revolution. On a recent afternoon at the NVIDIA robotics research lab in Seattle's University District, researchers use a simulated kitchen to test robots' ability to perform simple tasks such as grabbing objects.