Engineering Machine Learning Unstructured Data 
Intercom, Inc.
SEPTEMBER 9, 2022
GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” It’s all about artificial intelligence and machine learning.
eglobalis
MARCH 30, 2025
Using natural language processing (NLP) and machine learning, companies can interpret the tone and emotion behind customer interactions on a massive scale. Technologies enabling this include machine learning algorithms that learn from historical instances (e.g., Instead of explicitly asking How do you feel?,
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Customer Experience Matrix
SEPTEMBER 19, 2016
Although marketers have long talked about being customer- rather than campaign-centric, it’s not until the current crop of Journey Orchestration Engines (JOEs) that we see a thorough replacement of campaign-based methods. – itself mimicked practices developed for mechanical list technologies such as punch cards and metal address plates).
SurveySensum
JANUARY 20, 2025
Sentiment analysis is the process of analyzing open-ended feedback using AI technologies like natural language processing, machine learning, and text analytics. However, most customer feedback comes as unstructured datalacking a common shape or formwhich can make analysis time-consuming and complex. Lets dive in and explore.
Hodusoft
OCTOBER 17, 2024
Chatbots Chatbots are AI-powered tools engineered to communicate like humans. Machine Learning (ML) In the last few years, ML is proving to be a game changer for call centers and customer-facing organizations. Natural Language Processing (NLP) NLP enables machines to understand and interpret human language in a meaningful way.
Customer Experience Matrix
OCTOBER 29, 2017
Its architecture spans what I usually call the data, decision, and delivery layers, although Flytxt uses different language. To be a little more precise, Flytxt’s application layer uses API connectors to send messages to actual delivery systems such as Web sites and email engines.
Intercom
MAY 31, 2023
Deep learning algorithms are highly effective at processing complex and unstructured data, such as images, audio, and text, and have enabled significant advances in a wide range of applications such as natural language processing, speech recognition, and image recognition systems that include facial recognition, self-driving cars, etc.
Expert insights. Personalized for you.
249 
Let's personalize your content