AI & NLP
AI-driven insights are a powerful tool to enable analysts to extract value from qualitative data like user feedback. Here's how to build confidence in the results!
If you work in customer experience (CX), this article is for you. Explore how LLMs are poised to make a radical difference in CX and beyond.
Easily access and analyse feedback data by asking questions and receiving narrative answers. Get what you need from feedback data, instantly!
Summarize your data throughout the platform, to instantly understand what matters most to customers, as well as how and why it's changing.
How can predictive operational data analytics and NLP work together to deliver amazing business insights?
How can you use generative AI safely? In this post, Alyona covers security concerns around generative AI, and addresses how to lower risks.
How will GPT-4 change the work of insights professionals? Will it take over the insights and research landscape - or can we use it to our advantage?
How are insights leaders using AI to help them be more successful? Several thought leaders shared their perceptions with us at TMRE 2023 - here are 5 key considerations.
Can you trust AI when you don't understand the way it makes decisions? Or do you need control? Learn how AI and people can collaborate to get the best insights from feedback faster.
When you have a lot of text feedback, how do you begin to make sense of it all? One of the best approaches is thematic analysis.
When it comes to analyzing feedback, AI can be your best friend. But can you trust text analytics software if you don’t understand how it works?
When we conduct qualitative methods of research, need to explain changes in metrics or understand people's opinions, we always turn to qualitative data. Qualitative data is typically generated through: * Interview transcripts * Surveys with open-ended questions * Contact center transcripts * Texts and documents * Audio and video recordings * Observational notes Compared to quantitative