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Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
HfS published the Top 10 Cognitive Assistant Service Provider report that explores the emerging conversational service provider ecosystem across key areas including execution ability, innovation capability, and the voice of the customer. The conversational services called as Cognitive Assistants, go beyond the traditional chatbots and augment human-customer interaction across both front- and back-office business operations. IBM was recognized for its market leadership in Cognitive Assistant that harness the power of IBM Watson capabilities – including NLP, conversation and analytics. HfS also merits IBM for demonstrating the greatest volume and depth of cognitive assistant use cases across industry verticals and enterprise processes.
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Group M_IBM Q3'19
Published By: Pega     Published Date: May 25, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organization’s CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, today’s CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems. Download this Gartner Magic Quadrant analysis and gain a better understanding each vendors’ CRM Customer Engagement Center solutions.
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best practices, customer support, business intelligence, business optimization, customer engaement
    
Pega
Published By: Zendesk     Published Date: Jan 03, 2019
To successfully meet customer demands for more immediate, personalized attention, companies are leveraging new technologies that go beyond traditional voice and email. By implementing such channels as live chat, social media, mobile apps, SMS/text messages, self-help solutions, and more, companies can now be ready wherever and however the customer wants. The following report, sponsored by Zendesk, is based on an online survey of 1,044 U.S. consumers who have received online or phone customer service. The research goal was to better understand present customer expectations and to quantify the impact of customer service on business results. Questions were asked about past experiences with customer service, as well as preferences and opinions. Certain questions were repeated from a similar 2013 survey to enable trend analysis.
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Zendesk
Published By: LogMeIn     Published Date: Jan 03, 2013
Research on the reasons of consumers to choose chat. Integrating their voice into the findings as part of the six core reasons that serve as the framework, to give a greater understanding of the “who, what, where and why” consumers gravitate to chat
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research, logmein, chat, chatty customer, circumstances, experience, customer experience, customer support, knowledge management, enterprise applications, business technology
    
LogMeIn
Published By: Genesys     Published Date: May 10, 2016
Most companies today can support multi-channel customer interactions such as voice, email and chat, but typically cannot share context across all channels.
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genesys, contact center, customer experience, omnichannel, desktop, enterprise applications, business technology
    
Genesys
Published By: Cisco     Published Date: Sep 27, 2018
The pace of innovation for collaboration and unified communications (UC) technologies has been nothing short of incredible during the past few years. IT teams are now able to deliver consistent, simple and high- quality experiences with voice, video, messaging and chat from any smartphone, tablet, laptop or conference room system. Users can move seamlessly and securely from one device to the next, escalate from one communication mode to another and share content—all while retaining the context of the meeting or discussion.
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Cisco
Published By: Genesys     Published Date: May 14, 2013
Today, the gap between a customer’s expecta-tions and the service they receive is huge. Customers are increasingly knowledgeable about the products they use, and demand value-added, personalized customer service in real-time, using voice, text-based media types like email and chat, and social media.
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genesys, customer service, social media, personalized customer service, text-based media, people management
    
Genesys
Published By: Oracle     Published Date: Feb 21, 2018
A basic chatbot isn’t that hard to build. In JavaScript, write a public REST endpoint to connect a Facebook page to some chat logic (botly is a popular option) and deploy the whole thing to run on a cloud platform. Zoom out to the bigger picture, though, and you see that Facebook is just one channel. If you use Skype, Slack, Kik, and digital voice assistants, you’ll have to build six or eight of these endpoints straight away. And chatbots are being asked to handle ever more complex responses, so you better build on a platform of machine learning and natural language processing to keep up. That’s why the question enterprise developers should be asking is not “Which chatbot service do I start with?” but “Which platform will let me crank out a chatbot today and also support multiple channels and integrate with back-end systems as these chatbots take off?”
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Oracle
Published By: IBM     Published Date: Aug 08, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
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big data, analytics, insurance, customer service, solutions
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
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big data, analytics, insurance, customer service, solutions
    
IBM
Published By: Interactive Intelligence     Published Date: Dec 02, 2010
How a contact center deploys and manages eServices - non-voice interaction channels such as email, chat, SMS and social media - is the key to offering electronic services that attract modern tech-savvy customers. Learn about eServices best practices from Sheila McGee-Smith, founder of McGee-Smith Analytics, and Tim Passios, Director of Solutions Marketing at Interactive Intelligence, and how three diverse companies successfully utilize eServices to their advantage.
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interactive intelligence, sms, media channel, short message service, wireless, mobile communications, gsm, social media
    
Interactive Intelligence
Published By: ATG, Inc.     Published Date: Oct 07, 2010
Why business must offer live voice and text chat assistance to drive online sales.
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atg, voice chat, roi, online channel investment, voice-based sales assistance, e-commerce, customer satisfaction
    
ATG, Inc.
Published By: IBM     Published Date: May 27, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media
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ibm, big data, analytics, insurance, insurance industry, big data solutions, integration, risk assessment, policy rates, customer retention, claims data, transaction data, insurance ros
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
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big data, ibm, claims operations, customer service
    
IBM
Published By: Pega     Published Date: Jun 21, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organization’s CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, today’s CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems.
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Pega
Published By: LogMeIn     Published Date: Aug 27, 2013
While a lot of research has been done on the effectiveness and benefits of live chat, the customers voice is rarely heard. This report, written by Lauren Freemann from the e-tailing group, examines the customers' view on live chat and presents a deep insight into why consumers choose live chat. Findings include the key reasons for choosing live chat over other communication channels, best practices for deploying live chat successfully and key insights from the Annual Merchant Survey, a report that explores the merchants perspective of live chat implementations.
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chat with chatters, consumers, retailers, chatting, logmein, customer support, e-tailing, merchants, knowledge management, crm & customer care
    
LogMeIn
Published By: IBM     Published Date: Aug 06, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media
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ibm, insurance, data, big data, analytics, solutions, business technology, insurance ros
    
IBM
Published By: Pega     Published Date: Jun 21, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organization’s CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, today’s CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems.
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Pega
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