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Gone Virtual: Recap of the CETX Conference

Callminer

While it may not have been our typical, in-person experience filled with cocktail hours and outdoor activities, there was no shortage of entertainment and powerful and engaging insight from the customer experience (CX) and contact center industry’s most influential leaders, and hands-on practitioners. The great online kick-off.

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How Technology & Customer Experience Have Changed the Employee Learning Landscape

Call Center Weekly

By Melissa Pollock Cloud-based contact center platforms, big data analytics, omni-channel operations, and artificial intelligence applications have all contributed to a prodigious evolution in how we engage and manage customer journeys.

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You’ve Got Data? Well Don’t Start There!

C3Centricity

A 2015 Capgemini and EMC study called “Big & Fast Data: The rise of Insight-Driven Business” showed that: 56% of the 1,000 senior decision makers surveyed claim that their investment in big data over the next three years will exceed past investment in information management.

Big data 124
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Why Technology Won’t Help You Understand Your Customers

C3Centricity

A 2015 Capgemini and EMC study called “Big & Fast Data: The rise of Insight-Driven Business” showed that: 56% of the 1,000 senior decision makers surveyed claim that their investment in big data over the next three years will exceed past investment in information management.

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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

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How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

AWS Machine Learning

Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform.

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CMOs and CIOs: Stop Battling and Start Collaborating on Marketing Technology Solutions

Avaya

But then we saw the rise of technologies like cloud, mobility, social media and big data … and everything changed. Most importantly, this new state of marketing technology was fueled by big data. How much data? Suddenly, the end-to-end marketing experience was tied together through technology.