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
Other Resources / Information
- Listening iceberg: Companies hear a fraction of the available truth from stakeholders - this creates inclusion risk as well as commercial risk.
- Narrative deep listening is the next big thing in big data. Deep learning can now 'hear' unstructured language with emotional nuance, at scale.
- 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
- Jeff Bradley, Co-founder and CEO, Phrasia
- Jenn Whittaker, Managing Director, Bay Street Advisory
Marie Sigsworth, Strategic advisor, Phrasia
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