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#42 - Collecting conversational data to build safer and more efficient workspaces
Stuart and Lucas discuss how RiskTalk collects conversational data to help build safer and more efficient workspaces. Conversational data has many advantages relative to paper checklists such as the ability to measure vocal data points such as tone, confidence and glottal movements. The casual manner in which data is collected allows management to identify risks that are discussed amongst team members before paperwork is submitted, and also to provide proactive support for team members that might be experiencing emotional distress. The intersection of conversational data points and machine learning will be of particular interest to insurance companies that look to minimise payouts by helping their clients be data driven and identify leading indicators of accidents and incidents.
About Stuart Farquharson
Stuart brings 15 years of experience in improving safe systems of work to RiskTalk. He started his career with large mining organisations before working across a range of heavy industries specialising with a focus on action based safety. Stuart’s passion for improving safety through innovation and tapping into the expertise of workers on the ground led him to develop RiskTalk. As MD, his deep understanding of the industry enables him to produce the best safety outcomes for companies by making use of their inherent strengths.
About RiskTalk
Transforming outdated paper-based systems and electronic forms, RiskTalk uses intuitive voice technology to foster an engaging safety culture through conversation in organisations around the world, bridging the gap between management and workers on the ground.
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By Lucas CallejaStuart and Lucas discuss how RiskTalk collects conversational data to help build safer and more efficient workspaces. Conversational data has many advantages relative to paper checklists such as the ability to measure vocal data points such as tone, confidence and glottal movements. The casual manner in which data is collected allows management to identify risks that are discussed amongst team members before paperwork is submitted, and also to provide proactive support for team members that might be experiencing emotional distress. The intersection of conversational data points and machine learning will be of particular interest to insurance companies that look to minimise payouts by helping their clients be data driven and identify leading indicators of accidents and incidents.
About Stuart Farquharson
Stuart brings 15 years of experience in improving safe systems of work to RiskTalk. He started his career with large mining organisations before working across a range of heavy industries specialising with a focus on action based safety. Stuart’s passion for improving safety through innovation and tapping into the expertise of workers on the ground led him to develop RiskTalk. As MD, his deep understanding of the industry enables him to produce the best safety outcomes for companies by making use of their inherent strengths.
About RiskTalk
Transforming outdated paper-based systems and electronic forms, RiskTalk uses intuitive voice technology to foster an engaging safety culture through conversation in organisations around the world, bridging the gap between management and workers on the ground.