Intercom, Inc.

SEPTEMBER 9, 2022

Building ML products requires balance – it’s pointless to start with the problem if the solution is unattainable, but you shouldn’t start with the tech if it can’t meet real customer needs. ML teams tend to invest a fair share of resources in research that never ships. And you don’t need as much hand engineering of features.

Machine Learning 249

Machine Learning ML Unstructured Data AI 249

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. instead, it’s, “When and how will I use it?”

AI 90

AI ML Sentiment Analysis Artificial Intelligence 90

DMG Consulting

APRIL 8, 2024

But this is just the start of many innovations being introduced into the WFM market. Machine learning (ML) helps evaluate algorithms to identify the most effective one to apply to each dataset. What’s Next for WFM The pace of innovation in the WFM market during the past five years has been rapid, and much more is on the way.

AI 48

AI Contact Center ML Artificial Intelligence 48

VOZIQ

MARCH 22, 2022

TMC recognizes the AI/ML Customer Retention Platform for the fourth time in a row. Through the CUSTOMER Product of the Year Award, TMC recognizes vendors that are helping their clients in the call center, CRM and teleservices industries meet and exceed the expectation of their customers with innovative and high-quality products.

AI 40

AI Artificial Intelligence ML Engineering 40

DMG Consulting

JUNE 8, 2021

Product Innovation. 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.

Text Analytics 107

Text Analytics Contact Center VOC Artificial Intelligence 107

Comm100

NOVEMBER 25, 2020

Much of this speculation revolves around how to use these innovations to enhance customer service efforts, which has become such a crucial component of organizational growth today. Plus, these algorithms will actually become more advanced upon the frequent use of these ML models due to better identification of data patterns.

CRM 52

CRM AI Customer Service ML 52

Intercom, Inc.

OCTOBER 13, 2020

This post is based on that talk, and details our journey from early experimentation to release, as well as some valuable lessons we learned about how to implement machine learning (ML) in a real-world product. However, for smaller companies interested in delivering successful ML products, a lean approach can bring a lot of rewards.

Machine Learning 281

Machine Learning ML Engineering Start-ups 281