Intercom

MAY 31, 2023

Fine-tuning can save time and resources by using general models instead of training new ones from scratch, and it can also reduce the risk of overfitting, where the model has learned the features of a small-ish training set extremely well, but it’s unable to generalize to other data.

AI 72

AI Machine Learning Artificial Intelligence Unstructured Data 72

UJET

DECEMBER 10, 2020

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. Machine learning (ML) is computer programming that enables AI to adjust interactions with humans by analyzing, or learning from, previous interactions.

ML 72

ML Customer Service AI Sports 72

UJET

DECEMBER 10, 2020

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. Machine learning (ML) is computer programming that enables AI to adjust interactions with humans by analyzing, or learning from, previous interactions.

ML 72

ML Customer Service AI Sports 72

Intercom

JULY 13, 2023

Embracing a new era The hype around ChatGPT might be very new, but artificial intelligence (AI) and machine learning (ML) have actually been around for quite some time. Up to now, companies would have needed an army of data scientists to make AI and ML work well, but that has all changed.

AI 70

AI ML Sentiment Analysis Artificial Intelligence 70

Lumoa

NOVEMBER 21, 2023

Thankfully, the most relevant AI development technologies evaluating customer feedback rely on sentiment analysis. It is a technique that uses Natural language processing (NLP) and machine learning (ML) to scour emotions, opinions, and perspectives. but also to produce future content that may bring better revenues.

Customer Feedback 78

Customer Feedback AI Machine Learning Social Media 78

Lumoa

JANUARY 24, 2024

When to use text analytics This situation is where automated text analytics in customer feedback is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic. Its features include sentiment analysis, language detection, and AI-driven insights, which cater to a wide range of business needs.

Text Analytics 78

Text Analytics Customer Feedback Net Promoter Score Sentiment Analysis 78

VOZIQ

JUNE 7, 2023

It leads to a higher NPS, which, when supported by market research and sentiment analysis, helps you extract insights into your customers’ needs. Instead, you can leverage AI and machine learning to address this issue. Predict your NPS: Remember not all customers respond to NPS surveys.

NPS 40

NPS Net Promoter Score Machine Learning Sentiment Analysis 40

VOZIQ

JUNE 7, 2023

It leads to a higher NPS, which, when supported by market research and sentiment analysis, helps you extract insights into your customers’ needs. Instead, you can leverage AI and machine learning to address this issue. Predict your NPS: Remember not all customers respond to NPS surveys.

NPS 40

NPS Net Promoter Score Machine Learning Sentiment Analysis 40

Intercom, Inc.

MAY 22, 2019

Deepa joined me for a chat about everything from ways to prioritize customer experience to going all-in on machine learning. The customer defines the problem, but it’s on you to do root-cause analysis and solve the problem with your technology. Lessons on building machine learning. Short on time?

Voice of the Customer 199

Voice of the Customer Net Promoter Score Machine Learning ML 199

Zendesk

OCTOBER 4, 2023

AI often powers intelligent customer service tools that assist with sentiment analysis, personalization, and problem-solving to streamline support interactions. Using data, AI continuously learns, making it a powerful tool for problem-solving. Over time, IA can also continue learning and improving using data from interactions.

Artificial Intelligence 52

Artificial Intelligence Sentiment Analysis AI Machine Learning 52

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

These efforts are based on a combination of AI, NLP and Machine Learning (ML). Sentiment Analysis for Chatbot Behavior. This is where sentiment analysis is crucial to train chatbots with human-like capabilities.

AI 52

AI Sentiment Analysis Contact Center Artificial Intelligence 52

DMG Consulting

AUGUST 3, 2020

During the past year, adoption of sentiment analysis capabilities has augmented the value of IA findings. Artificial intelligence, specifically machine learning (ML), is starting to change this and be accepted by users. . The uses of IA have been expanding inside and outside of contact centers.

Contact Center 78

Contact Center Sentiment Analysis Artificial Intelligence ML 78

Comm100

DECEMBER 16, 2019

and clearly defines key related terms like decision trees, natural language processing (NLP), machine learning (ML), and sentiment analysis. The infographic features playful caricatures of three types of bots: B.O.B., eBook: Chatbot Success: How to save time, money, & effort in customer interactions.

Sentiment Analysis 52

Sentiment Analysis ML AI Machine Learning 52

SugarCRM

APRIL 21, 2022

But using aspects of artificial intelligence (AI) or machine learning (ML) to augment workers’ knowledge can help prioritize workload focus. Also, the use of sentiment analysis helps automatically redirect sensitive incoming cases to more skilled or senior customer service/support agents.

CRM 29

CRM B2C Sentiment Analysis Data Entry 29

InteractionMetrics

JULY 10, 2023

“…for most [machine learning] projects, the buzzword “AI” goes too far. It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. So, is AI for customer experience just hype?

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40

SurveySensum

SEPTEMBER 23, 2024

Impact Analysis: Evaluate the effects of different actions on your business outcomes, helping you prioritize initiatives that drive real, tangible results. Text and Sentiment Analysis: Turn those customer comments into gold. Personalization: Uses AI and ML to personalize content according to users’ actions and interests.

CX 52

CX Customer Experience Social Media CRM 52