Resources Library by ANA

A journey to Artificial Intelligence

This article will explore: The importance of accuracy when it comes to social insights. Sentiment and semantic accuracy both need to be at least over 70%, while the dataset to be analysed needs to be clean of "noise" i.e. irrelevant posts. Failure to...

Catalogue: Latin America 2017: #IN

Author: Michalis Michael

Company: DigitalMR Ltd

June 15, 2017

Social media meets Artificial Intelligence

How to extract valuable insights from a noisy medium such as Twitter? Our approach is to use artificial intelligence to extract semantic features from the data. Once these features are extracted we can use machine learning techniques to extract...

Catalogue: Latin America 2017: #IN

Authors: Horacio Gonzalez, Moisés Arizpe, Jorge Alagon, Horacio González Duhart

Company: KANTAR TNS Malaysia

June 15, 2017

A journey to Artificial Intelligence

It has become apparent in the last few years that social listening & analytics is an integral part of market research and customer insights. The main skill required to analyse big data is A.I. analysis. Surveys alone are no longer adequate or...

Catalogue: Latin America 2017: #IN

Author: Michalis Michael

Company: DigitalMR Ltd

June 15, 2017

Research World (May-June 2017)

Virtual reality, artificial intelligence, nano-technology, automated interviewing, the list is complex and changing by the day. So what’s hot and what’s not? What’s about to come screaming out of the starting gates taking all of us by...

Catalogue: Research World 2017

Author: ESOMAR B.V.

June 1, 2017

Big Data, AI, machine learning and behavioural science

Over the last three years, the deep learning version of machine learning has made more inroads into learning systems than all the artificial intelligence ever developed, particularly to understand image, voice and language processing, etc. The...

Catalogue: Asia Pacific 2017: Discoveries

Authors: Pascal Bourgeat, Paul Cording, Bart Langton

Company: Ipsos MRBI

May 9, 2017

Artificial Intelligence algorithms

This paper will illustrate how AI algorithms on big data sources (social media, search, e-commerce, Internet of Things, Mobile data) can be developed and applied for transforming consumer insights and marketing programs. This transformation will be...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Author: Sunando Das

Company: KANTAR TNS Malaysia

November 18, 2016

When will machines start winning?

Where does artificial intelligence have to get to, in order to start matching the human capacity to turn data into insights? Human analysis of social media delivers in-depth insight into people's feelings, intentions, drivers and barriers of usage -...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Author: Daniel Fazekas

November 18, 2016

Digital assistants- A brand's best friend?

Large internet companies are putting an awful amount of effort into building or improving Digital Assistants (DA). We are still at a nascent stage with this technology, however it is clear that Digital Assistants are set to be a new personalised...

Catalogue: Congress 2016: #WOW

Author: David Wright

Company: KANTAR TNS Malaysia

September 22, 2016

When will machines start winning?

Where does artificial intelligence have to get to, in order to start matching the human capacity to turn data into insights? Human analysis of social media delivers in-depth insight into people's feelings, intentions, drivers and barriers of usage -...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Author: Daniel Fazekas

June 15, 2016