Callminer

APRIL 27, 2023

NLP, ML and AI are everywhere in everyday life, and most people have encountered these technologies in action without even being aware of it. This blog shares 25 examples of NLP and ML.

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Callminer

JUNE 17, 2020

Learn more about machine learning algorithms and their current uses in a variety of industries.

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Machine Learning ML 182

Callminer

JULY 17, 2019

Our ongoing AI webinar series has been full of great audience questions on artificial intelligence, machine learning, and natural language processing.

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Customer Think

DECEMBER 31, 2021

It’s not a surprise that Artificial Intelligence (AI) and Machine Learning (ML) are two of the top buzzwords in today’s technological world. Did you know?? By 2022, the global ML market is expected to be worth $8.81 But, how will the two technologies create innovation and change in the near future? Do you have […].

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Callminer

JULY 18, 2019

Our ongoing AI webinar series has been full of great audience questions on artificial intelligence, machine learning, and natural language processing. Is topic modeling supervised machine learning (ML)? In most cases machine learning models don’t have a business understanding. Join us August 14th.

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Win the Customer

MARCH 7, 2023

One of the most powerful tools experience professionals have at their disposal is data analytics and machine learning. The Role of Machine Learning Machine learning takes data analytics to the next level by using algorithms to automatically learn and adapt from data.

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Customer Think

AUGUST 20, 2021

Artificial intelligence and machine learning are seen as an integral part of our lives. Big and small enterprises are using the technology in many fields and are evolving the user experience to great folds.

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Machine Learning Artificial Intelligence AI Technology 109

The PhaseWare Files

NOVEMBER 21, 2019

Much of this is due to machine learning. Not only has this changed the way businesses can interact with and provide service to their clients, but it’s also transformed the role of the customer support agent. Tools that utilize artificial intelligence have made communication easier and the overall support process faster.

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Machine Learning Artificial Intelligence B2B Technology 52

ProProfs

DECEMBER 27, 2019

Artificial Intelligence and Machine Learning are gaining widespread adoption in the past few years. In this era of rapidly-evolving technology, the way we learn has undergone a tremendous change. In this era of rapidly-evolving technology, the way we learn has undergone a tremendous change.

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VOZIQ

JUNE 8, 2022

Recently, Brinks Home CEO William Niles, in his conversation with Credit Suisse’s Kevin McVeigh, spoke about how the company achieved phenomenal customer retention and CLV breakthrough using AI and machine learning. He pointed out that following a restructuring in 2019, Brinks Home has a concerning 18% churn rate.

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Machine Learning AI Predictive Analytics Customer Retention 40

Callminer

JUNE 3, 2019

More companies are mastering their use of analytics, and are delving deeper into their data to increase efficiency, gain a greater competitive advantage, and boost their bottom lines even more.

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The PhaseWare Files

NOVEMBER 21, 2019

Machine learning can be an invaluable tool for B2B support agents in a high-volume department. Let us help by providing B2B customer support software today.

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ProProfs

DECEMBER 27, 2019

Artificial Intelligence and Machine Learning are gaining widespread adoption in the past few years. In this era of rapidly-evolving technology, the way we learn has undergone a tremendous change. In this era of rapidly-evolving technology, the way we learn has undergone a tremendous change.

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Machine Learning Education ML AI 52

Qualtrics

MAY 2, 2019

Machine learning is something I can never get bored of. There is always something new every day for me to learn and potentially apply to work. Qualtrics has sophisticated tools that help customers leverage machine learning to discover insights about experience data. What is your ‘why’?

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Customer Think

DECEMBER 8, 2021

The latest release of the mobile proximity engagement platform extends its capabilities to help businesses of any size strengthen customer loyalty and drive more repeat visits and sales.

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Qualtrics

NOVEMBER 19, 2021

Lexicon-based models and traditional machine learning models, such as support vector machines (SVM) or decision trees, are popular in building sentiment analysis models. Traditional machine learning approaches, on the other hand, leverage handcrafted features such as tf-idf, parts of speech, or adjectives to train the model.

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Sentiment Analysis Machine Learning Social Media Engineering 26

Beyond Philosophy

JULY 13, 2023

These include machine learning and deep learning. There is a difference between machine learning and deep learning. Consider the following: Machine learning uses algorithms. By contrast, deep learning builds upon neural networks where the AI effectively discovers patterns themselves.

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The DiJulius Group

APRIL 15, 2024

Technological innovations are exploding with the rise of artificial intelligence (AI) and machine learning (ML). The Most Critical Element of an Amazing Customer Experience is Being Human-Centric Today, we are living in the “digital disruption era.”

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Adrian Swinscoe

JUNE 20, 2022

Today’s interview is with Jimmy Hosang, Co-Founder and Chief Executive Officer at The Modular Analytics Company (TMAC), a rapidly expanding artificial intelligence and machine learning provider […].

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Customer Think

NOVEMBER 16, 2022

With Kangas, data scientists can now dive into their dataset, analyze and debug it like never before.

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Machine Learning 52

The DiJulius Group

MARCH 14, 2024

AI and the Customer Experience, Part 1 AI and Machine Learning (ML) are not only here, but if it’s not already a major part of your business strategy moving forward, you may be in danger of becoming the next Kodak. According to an article in Craving Tech, organizations that have integrated this new technology into.

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Adrian Swinscoe

FEBRUARY 21, 2022

Today’s interview is with Christian Selchau-Hansen, the CEO and co-founder of Formation.ai, a machine learning-powered offer optimization pioneer. Christian joins me to talk about loyalty, personalization, […]. The post The future of personalization and loyalty is dynamic – Interview with Christian Selchau-Hansen of Formation.ai

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Machine Learning 190

CX Accelerator

JANUARY 7, 2019

Do terms like NLP and Machine Learning mean anything to you? Machine Learning The second important concept in this mix is Machine Learning. This is the process of training or conditioning machines to respond accurately. This doesn’t happen without NLP.

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AI Machine Learning CX Net Promoter Score 275

Intercom, Inc.

JULY 26, 2022

Unlike traditional conversational technologies, which deliver pre-written scripts and dialogues to users when prompted by specific keywords, conversational AI recognizes and responds to the content of a user’s query by leveraging two complementary artificial intelligence technologies: natural language processing (NLP) and machine learning.

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Taylor Reach Group

JULY 17, 2017

MGI research found that 45 percent of work activities could be automated using current technologies; 80 percent of that activity is attributable to existing machine-learning capabilities. Robot-led workforce automation is not going away. Subscribe to our newsletter. First Name. Company Name. Email Address *.

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Machine Learning Artificial Intelligence Customer Experience E-commerce 251

Lightico

APRIL 18, 2024

IDP is a technology that uses artificial intelligence and machine learning to automate the extraction of data from documents. IDP uses AI and machine learning to automate capturing, classifying, extracting, and interpreting data from various documents. This is where Intelligent Document Processing (IDP) comes in.

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Intercom, Inc.

DECEMBER 9, 2022

In a recent episode, our Director of Machine Learning, Fergal Reid , shed some light on the latest breakthroughs in neural network technology. OpenAI released their most recent machine learning system, AI system, and they released it very publicly, and it was ChatGPT. I’m very bullish on AI and machine learning.

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Machine Learning AI Start-ups Engineering 279

Customer Think

JANUARY 28, 2022

Automated machine learning (AutoML) refers to creating a process of applying machine learning to real-world problems, automating the time-consuming and iterative tasks of model development, and accelerating time to knowledge discovery.

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Machine Learning 111

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.

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Lumoa

DECEMBER 19, 2023

AI and machine learning are key in performing sentiment analysis using two primary approaches: Rule-based approaches use predefined linguistic rules and patterns to classify sentiment, making them useful for simple cases.

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Sentiment Analysis AI Machine Learning Social Media 83

Intercom, Inc.

JULY 30, 2020

Combatting churn with machine learning. Instead of piecing together why customers have left after the fact, Luke’s built a machine learning model to get ahead, months ahead, of potential churn. This machine learning model doesn’t operate alone, though. What’s more, it’s accurate 75% of the time.

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Machine Learning Customer Relationship Engineering Business Growth 145

NGDATA

DECEMBER 18, 2023

Artificial Intelligence (AI) is a simulation of human intelligence by computers achieved through techniques like machine learning. Machine learning allows AI to create algorithms and learn from data without explicit programming.

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Fonolo

JANUARY 17, 2023

When they’re powered by AI, natural language understanding, and machine learning, conversational IVR systems go even further, responding to more complex customer queries and speaking in nuanced sentences. Today’s chatbots use natural language processing and machine learning to converse more naturally.

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NGDATA

MARCH 6, 2024

Leveraging AI and machine learning will help credit unions provide personalized recommendations. The financial sector is evolving rapidly, and traditional financial institutions need to adapt to emerging technologies. Borrowers must prioritize how they're paying off debt and maintain open communication with their student loan lender.

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Finance Machine Learning AI Technology 52

Lumoa

JANUARY 8, 2024

And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). Machine Learning (ML) Integration: Stay ahead of the curve.

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The DiJulius Group

MARCH 13, 2023

Along with its subfield of machine learning (ML), there are. Tedious tasks that once took agents hours upon hours to complete—be it boring data entry or replying to repetitive questions—will be relegated to computers. Read Full Article The post How AI Will Impact the Employee Experience appeared first on The DiJulius Group.

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Customer Think

NOVEMBER 20, 2021

During the past weeks I had a couple of observations and conversations that lead me to thinking that sometimes software vendors underestimate the power that their machine learning based systems could have to improve the lives and experiences of employe.

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