EZINE:
In this week's Computer Weekly, we examine how the fashion world and clothing retailers are using technology to better understand customers. Brexit continues to dominate conversation in the UK tech sector – we find out the hopes and fears of the industry. And we look at how to use OpenStack in a hyper-converged infrastructure. Read the issue now.
EGUIDE:
Download this e-guide to learn about the role technology plays in patient engagement and explore the tools most often used by healthcare providers.
WHITE PAPER:
When a content management team is no longer enough to successfully attract and retain customers, what does the future hold for content management? How does context fit into the picture?
PRESENTATION TRANSCRIPT:
This transcript explores two options for integrating analytic and Business Intelligence (BI) features into existing applications. Discover the benefits and drawbacks of each approach, and learn why your organizational culture should factor into your software decision.
sponsored by SDL Web Content Management Solutions Division
VIDEO:
This Video from SDL takes a look at the ways in which up-scale hotel conglomerate, Mandarin Oriental, has implemented SDL web content management solutions to help expand their business around the world. Watch this video today to learn more.
WEBCAST:
Improved customer retention, customer satisfaction, and agent productivity; these are just 3 ways that an intelligent contact center platform can bring remarkable value to your business. Watch this webinar to learn how you can transform your contact center for the better—with a little help.
EGUIDE:
Customer service is a battleground on which many companies fight to gain competitive edge. Access an exclusive Q&A with Larry Robinson, Senior VP of Product Management for the Service Cloud, and learn how to create solid customer experience and agent productivity using a knowledge management system.
EBOOK:
Learn how contact center AI transforms one-dimensional call centers into all-encompassing, multidimensional customer experience centers with the help of artificial intelligence and automation technologies like machine learning, natural language processing, computer vision and neural networks.
