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 90

AI ML Sentiment Analysis Artificial Intelligence 90

Qualtrics

JULY 3, 2019

I graduated from Georgia Tech with a Bachelor’s Degree in Aerospace Engineering. After college, I worked as a structural engineer at an airline and the job was very customer-focused. During my work in Aerospace Engineering, I took some online programming courses. I work as a software engineer for TextIQ R&D team.

Engineering 36

Engineering ML Machine Learning Technology 36

DMG Consulting

JUNE 8, 2021

And due to technical and operational innovations, many IA vendors are replacing their transcription engines with newer and more effective ones that improve the effectiveness of their own offerings. Analytics-enabled QM has been talked about for at least 12 years and has been available to some degree for 10 of them.

Text Analytics 107

Text Analytics Contact Center VOC Artificial Intelligence 107

Hodusoft

JANUARY 16, 2023

LCR is a software that uses Machine Learning (ML) technology to help users find the least cost route for their phone calls. The routing engines and software that today’s LCR models use, run on servers having ample Random Access Memory (RAM). Users can create these tables manually.

ML 52

ML Machine Learning Contact Center Engineering 52

Comm100

NOVEMBER 25, 2020

Whether it’s businesses, government agencies, or banks, technology is helping the customer support teams of these organizations evolve from being simple support providers to a full-fledged growth engine. In addition to these time-saving and accuracy capabilities, another feature worth mentioning is better security.

CRM 52

CRM AI Customer Service ML 52

Ameyo Callversations

MAY 19, 2022

Other industries, such as B2B, manufacturing, and engineering, leverage AI for workflow automation. Strong NLP Engine and ML Capabilities. Chatbot AIs have a strong NLP engine and machine learning base that allow them to understand customer conversations with deeper context. AI Chatbot and its Importance.

AI 52

AI Sales Artificial Intelligence ML 52

Ameyo Callversations

APRIL 21, 2022

Next-gen technologies such as AI, ML, NLP, AR/VR, and more are capable of helping reduce cost and improving metrics such as revenues, wallet and market share, and steady cash flows. These span from a basic service around storage, networking, and computing to advanced frameworks for using AI and ML models.

Contact Center 52

Contact Center Technology Technology Unstructured Data 52

SurveySensum

NOVEMBER 8, 2023

Personalized chatbots : They use NLP (natural language processing) and ML (machine learning) to understand not only the customer’s query but their intent and sentiment as well. This saves the customer time to browse through various categories of products. Then, the responses they deliver are quite helpful.

CX 52

CX Customer Experience Artificial Intelligence NPS 52

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. He told us things were starting to scale.

Machine Learning 279

Machine Learning AI Start-ups Engineering 279

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

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. When building machine learning , large generic training models aren’t always the best. Lessons on building machine learning. Short on time? Deepa: I love telling this story.

Voice of the Customer 199

Voice of the Customer Net Promoter Score Machine Learning ML 199

Zendesk

NOVEMBER 3, 2023

Generative AI uses machine learning (ML) algorithms to analyze large data sets. That means you can feed artificial intelligence a bunch of existing information on a topic, so it can learn and find patterns and structures. How does generative AI work?

AI 52

AI Machine Learning Artificial Intelligence ML 52

VOZIQ

APRIL 14, 2021

Results from Algorithmia’s third annual survey, 2021 Enterprise Trends in Machine Learning, showed that 76% of enterprises prioritize AI and machine learning (ML) over other IT initiatives in 2021. A successful ML implementation requires all the talent and resources in place. Translating data into action.

AI 52

AI ML Machine Learning Artificial Intelligence 52

VOZIQ

APRIL 14, 2021

Results from Algorithmia’s third annual survey, 2021 Enterprise Trends in Machine Learning, showed that 76% of enterprises prioritize AI and machine learning (ML) over other IT initiatives in 2021. A successful ML implementation requires all the talent and resources in place. Translating data into action.

AI 40

AI ML Machine Learning Artificial Intelligence 40

Zendesk

OCTOBER 17, 2023

Cognitive technology, such as artificial intelligence (AI), natural language understanding (NLU), machine learning (ML), and natural language processing (NLP), train the bot to understand context and human language patterns. It can then reply to inputs with human-like dialogue.

Customer Service 52

Customer Service Artificial Intelligence AI Machine Learning 52

Zendesk

OCTOBER 17, 2022

But now that we’re in what’s being described as the Fourth Industrial Revolution, that visual is as outdated as the steam engine. More manufacturers are using AI, machine learning (ML), and blockchain to automate workflows and increase efficiencies. The second used electric power to create mass production.

Manufacturing 98

Manufacturing AI Artificial Intelligence ML 98

Intercom, Inc.

FEBRUARY 27, 2020

We sat down for a chat with our own Fergal Reid, Principal Machine Learning Engineer, to learn why Answer Bot had to evolve past simply answering questions to focus on solving problems at scale. Fergal Reid: I lead the Machine Learning team at Intercom. I think I was our first dedicated ML hire.

Machine Learning 23

Machine Learning Start-ups ML Engineering 23

Intercom, Inc.

MARCH 29, 2022

We’ve always made massive investments in our product, our design and our engineering teams, and we are dedicated to building the best, most innovative products on the market to drive the most impact for you, our customers. I mean, our engineers, our product team, everybody wants to know what our customers are saying.

Start-ups 118

Start-ups Innovation Sales NPS 118

Intercom, Inc.

JANUARY 10, 2019

And then you can get smarter with machine learning and stuff. Up until quite recently, if you wanted to build an ML system, you needed to have a hardcore engineer who understood ML and used TensorFlow or one of these products that were very inaccessible to most product people. Then you’ve got chatbots.

ML 143

ML Start-ups Machine Learning B2B 143

Intercom

DECEMBER 14, 2023

On the machine learning team, there’s another way of thinking about this. And then, all that stuff centralized and now you’ve got search engine and so on. Any machine learning-based tool uses a training data set and looks for patterns in the data. That’s not how ML works. I think that’s a real dynamic.

AI 98

AI Start-ups Legal Technology 98