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incling Demo: Building Trust in AI & The Qual Mindset That Shaped Our Toolkit

With incling

  • demo
  • Qualitative Research
  • Artificial Intelligence
  • Machine Learning
  • Qualitative Data Analysis
  • Sentiment Analysis
  • Remote Qualitative Research

incling Demo: Discover how incling incorporated qualitative researcher thinking and needs to create a streamlined, easy-to-use, and trustworthy AI toolkit.

Asking AI what it thinks is easy, but trusting it with your insight is hard.

Join us for an enlightening first look at incling AI Summaries and the essential work that’s gone into making its AI think, act and synthesise more like qual researchers.

In this session, you’ll gain insight into how a human-first approach to testing and design led to a more streamlined, easy-to-use, and trustworthy AI toolkit.

incling will also share its experience through the trials and tribulations (and a fair share of squashing AI hallucinations!) of developing AI tools researchers can truly rely on, and the tension this creates between enabling vs replacing the researcher in the process.

Come along for the AI journey with us, and discover:

  • How a rigorous human vs machine analysis comparison helped optimised prompt logic to ‘know’ what researchers really want
  • How removing the need to input complex commands creates a more streamlined AI experience that frees up analysis time and energy
  • How thematic weighting, topic clustering and supporting quotes transform basic AI summaries, into reliable and insightful outputs
  • How task-specific AI Summaries accelerate the analysis process by offering insight that’s optimised for each activity, task or topic

You don’t want to miss this honest and informative session that explores the real challenges, questions, and opportunities we face today around AI and its role in supporting qual analysis.

Sign up ONCE to access ALL SESSIONS at the Demo Days July 2024

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Part of the Demo Days July 2024:

2024 Feb Demo Days - Featured Image

incling Demo: Discover how incling incorporated qualitative researcher thinking and needs to create a streamlined, easy-to-use, and trustworthy AI toolkit.

Asking AI what it thinks is easy, but trusting it with your insight is hard.

Join us for an enlightening first look at incling AI Summaries and the essential work that’s gone into making its AI think, act and synthesise more like qual researchers.

In this session, you’ll gain insight into how a human-first approach to testing and design led to a more streamlined, easy-to-use, and trustworthy AI toolkit.

incling will also share its experience through the trials and tribulations (and a fair share of squashing AI hallucinations!) of developing AI tools researchers can truly rely on, and the tension this creates between enabling vs replacing the researcher in the process.

Come along for the AI journey with us, and discover:

  • How a rigorous human vs machine analysis comparison helped optimised prompt logic to ‘know’ what researchers really want
  • How removing the need to input complex commands creates a more streamlined AI experience that frees up analysis time and energy
  • How thematic weighting, topic clustering and supporting quotes transform basic AI summaries, into reliable and insightful outputs
  • How task-specific AI Summaries accelerate the analysis process by offering insight that’s optimised for each activity, task or topic

You don’t want to miss this honest and informative session that explores the real challenges, questions, and opportunities we face today around AI and its role in supporting qual analysis.

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