Aquire

JULY 1, 2021

Conversational AI today is probably the closest technology has come to mimicking human interactions. If you want to know more about this technology, start here; our beginner’s guide will cover these essential aspects of conversational AI: What is conversational AI? The technology behind conversational AI. Machine learning (ML).

AI 125

AI Artificial Intelligence Machine Learning ML 125

Intercom

SEPTEMBER 5, 2023

Mervi Sepp Rei, Head Of ML and Data at Klaus That is, of course, if AI is properly implemented. Mervi Sepp Rei, Head Of ML and Data at Klaus Collaboration between AI tools, QA teams, and human agents is crucial. Mervi Sepp Rei, Head Of ML and Data at Klaus 5.

AI 52

AI ML Sentiment Analysis Scorecard 52

Shep Hyken

AUGUST 5, 2022

Technology solutions and automation have the power to improve customer service in multiple ways. Perhaps this could be one of the main reasons businesses nowadays embrace new-age technologies and tools like voice bots and chatbots.? Thanks to technology, ML, and NLP, interacting with the bot is easier than before.

Contact Center 69

Contact Center Sentiment Analysis Artificial Intelligence ML 69

UJET

DECEMBER 10, 2020

Different companies’ Virtual Agents vary drastically in both design and function, depending on how they’re set up and what technology they are equipped with. Advanced NLP looks at sentences as a whole and can infer not only rudimentary key phrases but more complex intent, sentiment, tone, and nuanced requests.

ML 72

ML Customer Service AI Sports 72

UJET

DECEMBER 10, 2020

Different companies’ Virtual Agents vary drastically in both design and function, depending on how they’re set up and what technology they are equipped with. Advanced NLP looks at sentences as a whole and can infer not only rudimentary key phrases but more complex intent, sentiment, tone, and nuanced requests.

ML 72

ML Customer Service AI Sports 72

Lumoa

FEBRUARY 14, 2024

AI and ML will be able to offer customers a degree of personalization they have not yet experienced because of their ability to: Deliver individualistic, personalized experiences by analyzing each customer’s purchasing history, browsing habits, and demographic information Offer 24/7 customer support through AI chatbots and interactive guides.

Customer Experience 78

Customer Experience ML Social Media CX 78

Ameyo Callversations

AUGUST 24, 2022

Conversational AI, as a leading contact center automation technology, stands at the convergence of these two business sides. The Natural Language Processing (NLP) technology used in these bots uses predictive analytics to understand user intent from their conversation or queries raised. Sentiment Analysis for Chatbot Behavior.

AI 52

AI Sentiment Analysis Contact Center Artificial Intelligence 52

Zendesk

OCTOBER 4, 2023

Intelligent automation (IA) describes the intersection of artificial intelligence (AI) and cognitive technologies such as business process management (BPM), robotic process automation (RPA), and optical character recognition (OCR). So, let’s demystify these components and how they make intelligent automation possible.

Artificial Intelligence 52

Artificial Intelligence Sentiment Analysis AI Machine Learning 52

SurveySensum

AUGUST 9, 2022

SurveySensum is one of the best survey tools that use AI and other advanced technologies to create intelligent NPS, CES, CES, CSI, SSI, and market research forms and surveys to gather customer feedback. The solution works best for industries like Education, Healthcare, Technology, Retail, Financial Services, B2B, Travel, Hospitality, etc. .

Sentiment Analysis 52

Sentiment Analysis NPS ML Start-ups 52

Lumoa

NOVEMBER 21, 2023

But it is no longer a challenge, thanks to modern technologies like martech tools and back-office solution software and the use of artificial intelligence (AI) in customer feedback analysis. Thankfully, the most relevant AI development technologies evaluating customer feedback rely on sentiment analysis.

Customer Feedback 78

Customer Feedback AI Machine Learning Social Media 78

Intercom, Inc.

MAY 22, 2019

The customer defines the problem, but it’s on you to do root-cause analysis and solve the problem with your technology. I started in technology at Salesforce – I was their first female engineer and learned early on how valuable it can be to build a company from the perspective of your customer. Paige: Deepa, welcome to the show.

Voice of the Customer 199

Voice of the Customer Net Promoter Score Machine Learning ML 199

Comm100

DECEMBER 16, 2019

To feed the hungry appetite of interest in this topic and separate fact from fiction, this webinar examines what the different kinds of AI and bot technologies are available and how to practically get started. Slide Share: Customer Contact Week Digital’s Disruptive Technology Review of Live Chat.

Sentiment Analysis 52

Sentiment Analysis ML AI Machine Learning 52

SurveySensum

JULY 15, 2022

Provides chatbots and other technologies. Comes with built-in sentiment analysis tools. Equipped with advanced tools like AI, ML, etc. Customizable analytics & branding. Conditional branching & skip logic. In-depth visual dashboards and reports. Lets you collect data from multiple sources. Pricey plans.

E-commerce 52

E-commerce NPS Sentiment Analysis ML 52

SugarCRM

APRIL 21, 2022

They have seen the necessity of using technology for collecting, managing, and advancing customer interactions. Notwithstanding, there is a global shortage of skilled and unskilled workers, which increases pressure on organizations to make better use of technology. Pandemic-Fostered Changes.

CRM 29

CRM B2C Sentiment Analysis Data Entry 29

InteractionMetrics

JULY 10, 2023

It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. Natural language processing in particular enables sentiment analysis, entity recognition, text classification, and topic modeling.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40

Uniphore

DECEMBER 14, 2021

In addition to joining Cisco’s SolutionsPlus Program, the companies continue their work on developing new capabilities in AI, conversational automation, and real-time call and sentiment analysis. For example, Uniphore’s innovative AI technology dramatically reduces agent aftercall work time, by up to 80% in many cases.

Sentiment Analysis 264

Sentiment Analysis Customer Experience ML Contact Center 264