Martin Hyndman has been working on the overlap between Product and Technology in the Professional Information industry for over 30 years. During this time he has held senior roles in Product Strategy, Research, Design and Development. He has significant experience working with development teams within Waterfall, Agile and Hybrid processes. His current area of focus and expertise is in defining the value that Automation & A.I. can bring to a data-driven organization and develop business cases that support investment in this fast moving and exciting industry.
How Automation will affect society at large, but start with simple processes that are good candidates for automation, like challenging parking fines. Where it starts to get interesting is the use of personal information and preferences in determining complex decision making processes and the role of machine learning inferences based on predefined persona types (Privacy concerns obviously but also Persona Stereotyping based on observed human behaviors on public web site ecosystems e.g. Facebook, Amazon, etc.) Should the pursuit of Automation alert Social Policy Makers/ The Law to potentially intervene through regulation? On what grounds? What actions or events should be monitored?