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Research papers

Can machines be emotional?

We know emotions play an important role in consumer decision making but how do we access them at scale? SKIM and J&J teamed up to investigate!

Catalogue: Fusion 2019
Authors: Marcel Slavenburg, Judith Suttrup, Samantha Bond
Company: SKIM
November 10, 2019

Videos

Using narrative analytics to win customer trust

What drives trust (and mistrust) in tech companies? Learn how to use narrative analytics to understand the drivers of trust and win customers across the globe with better values, strategies and offerings. In addition to the Trust case study, the...

Catalogue: Insights Festival 2020
Authors: Jeff Marshall, Rogier Verhulst
Companies: Protagonist, LinkedIn
September 15, 2020

Videos

Predictive marketing

Digital advertising is one of the largest and open playgrounds for machine learning, data mining and related analytic approaches. This development is fueled by unparalleled access to consumer activity across all digital devices and the rise of...

Catalogue: Big Data World 2016: Understanding People Through Smart Data
Author: Claudia Perlich
June 15, 2016

Research papers

Machine learning and privacy

Machine Learning algorithms are born as a solution to a problem. Once we feel comfortable with a prototype, there is still a long path to its deployment...and it is rarely a smooth one. We would like to share our experience transiting that path.

Catalogue: Fusion 2019
Authors: Marcello Frattini, Anna Bellido, Joaquin Casino
Company: Netquest
November 10, 2019

Videos

Machine learning evolving computer vision (Spanish)

How to extract great insights from satellite imagery? Last few years have seen enormous growth on AI-based data-enrichment techniques. Automatic sentiment and topic identification in text documents have become ubiquitous. Image tagging and...

Catalogue: Latin America 2018: Market Intelligence Festival for Latin America
Authors: Mario Abarca, Gustavo Ramírez
Company: Kantar
May 14, 2018

Research papers

Standing on the shoulders of giants

Recognising innovation opportunities based on customer needs online is labor intensive, as user-generated content grows exponentially. Machine learning takes the insight process to a new level by utilising machine's and human's individual strengths....

Catalogue: Fusion 2018 (Big Data World + Global Qualitative)
Authors: Anna Marchuk, Stefan Biel, Volker Bilgram, Signe Worning Løgstrup Jensen
Company: HYVE
November 11, 2018