AI & Automation
Webinar – Thursday 17 June
Live broadcast at 10 am New York, 3 pm London
Click here to access the slides and recordings from the webinar.
In this webinar we focus on trends in AI and Automation.
The impact of AI and Automation on the business of insights and research
Kristin Luck (ESOMAR President and Founder of ScaleHouse) discusses the different ways that AI and automation are changing the way insights and research are being conducted, in discussion with Ray Poynter.
What impact will AI and Automation have on Market Research
In preparation for this webinar we launched a survey using the platform provided by NewMR sponsor QuestionPro.
If you have not already taken the survey, please click this link and share your views.
If you have already taken the survey you can see the results by clicking here.
Presentations
Market research’s evolving AI needs & the teams needed to support them Kyle Findlay, Kantar |
When efficiency is the question, automation is the answer! Benjamin Rietti, E-Tabs (NewMR sponsor) |
Your attention please: Using AI based solutions to help marketers hold people’s attention for longer Hannah Mann, Day One Strategy & Mark Bainbridge, Dragonfly.ai |
How to map a hashtag: Identify leaders, groups, & topics with network analysis Marc Smith, Social Media Research Foundation |
Synopses
Your attention please: Using AI based solutions to help marketers hold people’s attention for longer
Hannah Mann, Founding Partner, Day One Strategy & Mark Bainbridge, Co-Founder, Dragonfly.ai
According to a study by Microsoft, the digitally over-stimulated human brain has an attention span less than a goldfish. In today’s world, attention is a major battleground for marketers who need their visual content to cut through and engage customers. In this paper, we show how AI neuroscience-based tools can help marketers predict what the human brain is likely to see when exposed to visual content. We will do a live demonstration of one such tool, Dragonfly, and share case studies across different sectors to show how it can improve the effectiveness of content and experiences across different channels.
Market research’s evolving AI needs and the teams needed to support them
Kyle Findlay, Senior Data Science Director (Innovation), Kantar
This talk is about the suite of AI capabilities that insight agencies need to be good at and the teams behind them. Market research is about using the right data to provide the right insights. Today, this means making sense of all the data bombarding us, such as social media, chatbot conversations and more. Capabilities such as natural language processing, image and video processing and data visualisation need to be implemented at scale. This necessitates different sets of skills and technology platforms. Let’s talk about what these new capabilities are and how one constitutes teams around them.
When efficiency is the question, automation is the answer!
Benjamin Rietti, Founder and CEO E-Tabs (NewMR sponsor)
Budgets tightened and profit margins squeezed. It is imperative to be efficient now more than ever. Finding efficiencies in the report building process not only gives you back time to reallocate to more “storytelling” time, but also to help ensure a report’s accuracy. However, for many agencies and insight teams, manually created reports are still the norm and hundreds of hours are spent creating them. E-Tabs has been at the forefront of market research report automation for over 25 years now and so are well equipped to help save that time!
Key takeaways
– A comprehensive summary of why MR companies and Insight teams need to be looking into automation now more than ever.
– Why automation isn’t “just for trackers” and can boost profit margins on any project type.
– Some useful tips and tricks on how to be as efficient as possible with your automation.
How to map a hashtag: Identify leaders, groups, and topics with network analysis
Marc Smith, Social Media Research Foundation
Learn to quickly collect and analyze social media network data to reveal the key people, groups, and topics (URLs, hashtags, words, etc) that define each group and author.