SXSW 2023

Data-Driven Inclusion: How Deep Learning Can Help


When it comes to inclusion, many organizations struggle to keep up with complexity and change in stakeholder dynamics. Deep learning - applied to the unstructured, open-ended views of stakeholders – can help by systemically hearing the voices of stakeholders, at scale - replacing ad hoc, traditional survey, and NLP approaches. We’ll share a disruptive new approach that turns the expressed views of stakeholders into actionable data - as useful for business as it is for inclusion.
- Practical how-to's on how companies with minimal data capabilities can improve inclusion – and performance, through a systemic approach to listening.
- A property developer workplace safety case: preventing safety incidents
- A Pharmaceuticals patient journey case - hearing missed signals

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Other Resources / Information


  1. Listening iceberg: Companies hear a fraction of the available truth from stakeholders - this creates inclusion risk as well as commercial risk.
  2. Narrative deep listening is the next big thing in big data. Deep learning can now 'hear' unstructured language with emotional nuance, at scale.
  3. Practical "how to's"/cases: What companies can do tomorrow, and what they need to 'unlearn' (eg regarding traditional data science and analysis)



Marie Sigsworth, Strategic advisor, Phrasia

Meta Information:

  • Event: SXSW
  • Format: Panel
  • Track: Tech Industry
  • Track 2
  • Level: Beginner

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