Q: Where is AWS Innovate hosted? AWS Innovate is an online conference. After completing the online registration process, you will receive a confirmation email containing the login link that you will need in order to access the platform. Q: Can I watch the sessions after the event? All sessions will be available on demand from the day after the event until the end of November.

Cdiscount, FranceAbstract Recent results of deep convolutional networks in visual recognition challenges open the path to a whole new set of disruptive user experiences such as visual search or recommendation. The list of companies offering this type of service is growing everyday but the adoption rate and the relevancy of results may vary a lot. We believe that the availability of large and diverse datasets is a necessary condition to improve the relevancy of such recommendation systems and facilitate their adoption. For that purpose, we wish to share with the community this dataset of more than 12M images of the 7M products of our online store classified into 5K categories. This original dataset is introduced in this article and several features are described. We also present some aspects of the winning solutions of our image classification challenge that was organized on the Kaggle platform around this set of images. 1 Introduction Recent advances in artificial intelligence and image recognition allow a whole new set of services to improve the Internet shopping experience [8, 20].

Balancing user experience with strong transaction and login protection is a constant battle for financial institutions – one that can have tangible consequences for both bank and customer. Take, for example, User X. It's Cyber Monday, and User X wants to buy the latest smartphone on his favorite discount online store. The site has limited stock, so he logs in at 4am to ensure he'll be able to get a phone. He excitedly places the item in his cart, goes to check out, and clicks pay – only to receive a message that the purchase was flagged as suspicious and blocked.

New York: Dynamic Yield, the AI-Powered Personalization Anywhere platform, today announced the release of Affinity-Based Personalization – a new capability allowing brands to leverage automatically generated user affinity profiles to easily build a new class of user segments and deliver highly-targeted experiences across channels. While retailers track purchases, they've missed out on a trove of highly valuable information in the form of product and category browsing activity over the years. This structured data can be used for the creation of more relevant and individualized marketing campaigns, but instead, often goes completely unsaved. Dynamic Yield can now match a visitor's browsing activities with the attributes of the products they interact with, leveraging the data to build a unique affinity profile for each individual in real-time. In turn, this allows for the automated creation of new and sophisticated user segments that can be utilized across all channels, including web, mobile, app, email, as well as sent to external third party platforms like DMPs, BI tools, DSPs and more.

What does the future hold for us? Or more precisely, how will the future unfold? One thing that we know unanimously is that the digital revolution is here. This revolution is cascading across every industry and organization, resulting in wide-scale enterprise disruption with redefined customer expectations. The ability to rapidly rotate to the new has been critical for companies striving to become digital leaders, as well as for the employees who are shifting beyond the digital culture shock.

Walk into the Decathlon sporting goods store on Market Street in San Francisco and you will find yourself face to face with Tally. She is tall and slender, and has a winning smile--she smiles with her eyes. She is gentle and considerate: if you get in her way, she will quietly glide around you without complaining. She is extremely intelligent and highly efficient: as she moves up and down the aisles, she takes a real-time inventory of the products on the shelves and racks, checking which products are running low or out of stock, and whether they are labeled with the correct price. She can read RFID tags, but she can also use AI-powered image recognition to distinguish different products at a glance.

FaceCake is the only Augmented Reality and Artificial Intelligence full shopping platform. At its core, FaceCake offers the most immersive online to offline technology-driven consumer shopping experience available, seamlessly enabling consumers to virtually Try-On products instantly with aesthetically stunning AR Try-On as if looking in a mirror, and delivering highly personalized recommendations while concurrently building the most in-depth shopper-initiated data profiles in the industry. Consumers can shop, try, share and buy seamlessly through FaceCake's "mass boutique" AR/AI platform in any category (apparel, beauty, eyewear, jewellery, accessories, home, and more) via mobile, web, In-Store, or even in personalized advertising. Use of FaceCake's platform leads to an increase in conversions, basket size, and reduced returns. FaceCake was built with a simple principle in mind – to make shopping easier, more personalized and accessible.

FaceCake is the only Augmented Reality and Artificial Intelligence full shopping platform. At its core, FaceCake offers the most immersive online to offline technology-driven consumer shopping experience available, seamlessly enabling consumers to virtually Try-On products instantly with aesthetically stunning AR Try-On as if looking in a mirror, and delivering highly personalized recommendations while concurrently building the most in-depth shopper-initiated data profiles in the industry. Consumers can shop, try, share and buy seamlessly through FaceCake's "mass boutique" AR/AI platform in any category (apparel, beauty, eyewear, jewellery, accessories, home, and more) via mobile, web, In-Store, or even in personalized advertising. Use of FaceCake's platform leads to an increase in conversions, basket size, and reduced returns. FaceCake was built with a simple principle in mind – to make shopping easier, more personalized and accessible.

Amazon.com Inc. has adjusted its product-search system to more prominently feature listings that are more profitable for the company, said people who worked on the project--a move, contested internally, that could favor Amazon's own brands. Late last year, these people said, Amazon optimized the secret algorithm that ranks listings so that instead of showing customers mainly the most-relevant and best-selling listings when they search--as it had for more than a decade--the site also gives a boost to items that are more profitable...

AILA - A Humanoid Robot Is Being Trained To Become An Astronaut. Create Amazon Business Account: https://amzn.to/2VD9ylX AILA is a humanoid robot used by researchers to study mobile manipulation, robot perception, and AI. She's learning to perform tasks in human environments and training to become an astronaut.