Remove Machine Learning Remove Technology Remove Unstructured Data
article thumbnail

The new dawn of Machine Learning

Intercom, Inc.

In the past five years, we’ve seen neural network technology really take off into its own. We wanted to know what’s up with this surge, so we’ve asked our Director of Machine Learning, Fergal Reid , if we can pick his brain for today’s episode. It’s all about artificial intelligence and machine learning.

article thumbnail

AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

[link] Introduction: Todays businesses face a pivotal question: can emerging technologies like AI and real-time data platforms reduce or even replace the need for traditional customer surveys in managing customer experience (CX)? Technologies enabling this include machine learning algorithms that learn from historical instances (e.g.,

AI 346
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

History of Marketing Technology and What's Special about Journey Orchestration

Customer Experience Matrix

I delivered my presentation on the history of marketing technology last week at the Optimove CONNECT conference in Tel Aviv. The yellow areas represent the volume of technology available during each period. The real explosions in martech and data happen after the Internet appears in the 1990’s.

article thumbnail

Tray.io’s VP of Marketing Alex Ortiz on embracing the era of automation

Intercom, Inc.

As the SaaS industry enters a new decade, marketing technology continues to command a huge chunk of companies’ expenditures – more than a quarter of the total budget, according to Gartner. Here we are in 2020 with much better data collection than we’ve ever had. Alex contends that anyone can do the same.

article thumbnail

Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Let’s understand each of them.

article thumbnail

8 Essential Capabilities You Need for Interaction Analytics

Uniphore

Interaction analytics takes unstructured data from customer interactions across multiple channels and harnesses it to let you understand the true voice of the customer. Here are a few things you should be looking for: Domain-specific conversational AI technology. Intent recognition and analysis.

article thumbnail

Sentiment Analysis: Guide to Boost CX & Drive Business Insights

SurveySensum

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.