recommendations engine

Results 1 - 15 of 15Sort Results By: Published Date | Title | Company Name
By: Datastax     Published Date: May 15, 2017
The customer is no longer king – she’s ruler, dictator, and autocrat. What’s clear is that the old paradigm of “customer service” is out and the new paradigm of customer experience is in. But companies are being too slow to capitalize on technology to improve customer experience. Read this new commissioned thought leadership paper conducted by Forrester Consulting on behalf of DataStax to learn why real-time data should be driving your customer experience decisions, why customer obsession is an imperative for success, why most companies are still missing the mark with CX, and six key recommendations to get your CX engine running.
Tags : datastax, customer experience, digital, buying initiatives
     Datastax
By: Amazon Web Services     Published Date: Feb 01, 2018
At Amazon, we’ve been investing deeply in AI for more than 20 years. Machine learning (ML) algorithms drive many of our internal systems, and have formed the core of our customers' experience —from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, and our new retail experience, Amazon Go. Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every executive, developer, and data scientist.
Tags : machine learning, algorithms, interal systems, amazon
     Amazon Web Services
By: Entelo     Published Date: Sep 06, 2017
With tech talent in high demand, understanding the networks engineers live and work in is fundamental to finding qualified people and establishing rapport. Learn how to leverage GitHub, Stack Overflow, and Hacker News to identify relevant candidates, assess their skill sets, and boost your company's engineering brand to stand out from competing recruiters. GitHub Lead Talent Strategist Tessa Wilder joins us to share recommendations on how to best use GitHub to connect with engineers. In this webinar, you'll learn: How to read a GitHub profile to understand an engineer's contributions, impact, and how to cross-reference this info with resumes and other social profiles Ways to use Stack Overflow's reputation score and tags to find active, notable engineers How to (tastefully) utilize Hacker News beyond a social news site to generate interest with tech candidates and find those actively seeking new opportunities
Tags : 
     Entelo
By: Magento     Published Date: Mar 28, 2018
Recommendations to Discuss with Your Development Team and Technology Partners. When buying products online, shoppers have to put their trust into eCommerce stores. They have to trust that their information won't be stolen, that the order will go through and that it will be shipped on-time, to the correct location. When a site is slow, not only does it frustrate online shoppers, it takes away the legitimacy of the site and their trust in it. Poor site performance can cost you sales, revenue, customers, and even a high ranking on search engines. Download the guide to learn how you and your development team can boost site performance.
Tags : site, performance, servers, worldwide, network
     Magento
By: Magento     Published Date: Feb 13, 2018
Recommendations to Discuss with Your Development Team and Technology Partners. When buying products online, shoppers have to put their trust into eCommerce stores. They have to trust that their information won't be stolen, that the order will go through and that it will be shipped on-time, to the correct location. When a site is slow, not only does it frustrate online shoppers, it takes away the legitimacy of the site and their trust in it. Poor site performance can cost you sales, revenue, customers, and even a high ranking on search engines. Download the guide to learn how you and your development team can boost site performance.
Tags : 
     Magento
By: IBM     Published Date: Aug 14, 2014
Learn how online merchants can use recommendations technology to provide shoppers with a personalized website experience. Find out what key characteristics you need in a recommendations engine, and explore strategies to increase sales and customer satisfaction.
Tags : lift, loyalty, personalized product, recommendations, online merchants, technology, website experience, strategies, increase sale, customer satisfaction
     IBM
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