In a time of crisis, Brand Purpose has taken center stage. Value-driven consumers are demanding that brands get off the sidelines and answer the question: How are you making the world a better place?The challenge: you can't manage what you can't measure and you can't measure what you can't define. This session will provide a new approach that leverages social listening data that enables brands to quantifiably clearly understand, benchmark, and better align with key stakeholders on brand purpose initiatives. This session will help insight pros understand:- The drivers and evolution of brand purpose- A comprehensive framework for measuring brand purpose and benchmarking performance- How to measure Brand Purpose at the speed of culture
The latest advanced in AI/ml approaches are helping uncover efficiencies across sectors across a wide spectrum of business needs. Can these machine-driven approaches that leverage advanced statistical analyses help us unleash creativity?
The main 3 takeaways of the presentation are: - How will the 4th Industrial Revolution change design?- Why is 'ease of use' no longer the pinnacle of good design in the Age of AI?- What are the five principles for design moving forward?
Q&A Session, Artificial Intelligence.
Leveraging AI to reducing survey fatigue and survey send outs while maintaining stable customer satisfaction scores and enhanced response rates.3 takeaways:- How AI can be used to multiply stability of CX scores for a certain area or segment;- Why CX score can be reported for some area or segments EVEN without measuring them- How AI can select those customers most responsive to surveying and scale down email outreach
In times of turmoil, facts minimize fear. That's why it's more important than ever for insights teams to listen and learn, so they can present facts to their remote stakeholders in an inspiring way. Mars' AI-powered Synapse platform helps their insights managers overcome these challenges to proactively advise the business.
Latest updates and a tool-kit of pragmatic pandemic recommendations.
With the ESOMAR/MRSI Asia Pacific conference rescheduled to 1-3 November, programme committee member Takeshi Oshima from insurance company MetLife talks about what programme features inspire him and invites some of the presenters to join him for a discussion on why Asia Pacific is a hotbed for AI innovation.
Interview with Horacio González, Global AI & Unstructured Data Lead from Kantar Mexico.
Using CRM data to harness clients' irritating experiences feedback thanks to machine learning enrich outcomes with a social data deep dive into customers' pain points and related emotions.
Using CRM data to harness clients' irritating experiences feedback thanks to machine learning enrich outcomes with a social data deep dive into customers' pain points and related emotions.
This presentation details the exploration of various machine learning algorithms/models, which are tested on different market research studies collected using face-to-face (F2F) data collection in East African markets. The supervised machine learning techniques such as Decision Tree, Random Forest, Gradient Boosting Machine (GBM), Deep Learning and unsupervised machine learning techniques such as K-means clustering and Isolation Random Forest have been explored. The results are very promising and show great potential to bring such AI-based techniques to mainstream data quality control and quality assurance, as well as to address some of the key challenges faced by F2F data collection, which is still prominent in emerging markets, such as (East) Africa.