Whilst doing some client research, I came across a rather intriguing article which discusses the 4 waves of AI <https://techsauce.co/en/tech-and-biz/four-waves-of-ai-investment-thesis/>... (though I'd call them orthogonal directions since not building on each other).
1. Internet - Domain = real-time user digital shadows - UseCase = contextual search 2. Business - Domain = internal data silos - UseCase = operational efficiencies 3. Perception - Domain = webcam + datahose (sensors) - UseCase = identity 4. Automation - Domain = self-contained feedback - UseCase = Robots The author also briefly discusses the state of US-China frontier in AI research and deployment. The point is where can Australia make an impact ... some thoughts - Kaggle - home grown data "gamification" or more precisely crowd-sourcing ... basically takes problems and poses them in a vendor neutral and anonymous fashion for bounties ... whilst the idea and management are local, their customers and users are not so hard to claim it's a pure Aussie play. I wish I could point to more examples of narrow AI breaking out into broader international success ... some I know are embedded into specific machines/sensors so hard to come up with popular examples (Daisee too early to say) - AAII & DSTC - whilst attempting to popularise agent based systems, I'd say that it hasn't made a deep consumer impression ... the problem is the chicken-egg situation where you need the underlying system before agents can be designed ... perhaps blockchain and distributed apps might change the current story but too late for DSTC. As usual, the govt has belatedly jumped onto the bandwagon in its Australia 2030 innovation roadmap (and how many of those have been repeated between administrations) - autonomous underwater vehicles ... I know WA is working hard but news is quiet ... perhaps someone from Perth can give a better picture In short ... AI has the biggest potential to solve the underpopulation problem of Australia (and chatbots can only improve rather pathetic customer service) but it requires companies to start investing, if not into R&D at least in understanding the potential to reduce the tedious parts of life (eg long-distance trucking) and putting in place the datahoses (sensors, etc) that enable machine2machine dataflows. As part of digital transformation, perhaps govt agencies might make certain data available (with removal of identifying features) like traffic cams for AI enabled testbeds or geological surveys for smarter cluster analysis for mining. It may not have the actual data-scientists but using its existing data silos to attract overseas talent to bring about operational efficiencies is only a win-win situation. If SBer have other knowledge of AI-driven startups, perhaps they can show kaggle is not just a one-shot wonder. Lawrence http://www.linkedin.com/in/drllau -- -- You received this message because you are subscribed to the Silicon Beach Australia mailing list. Vist http://siliconbeachaustralia.org for more Forum rules 1) No lurkers! It is expected that you introduce yourself. 2) No jobs postings. You can use http://siliconbeachaustralia.org/jobs To post to this group, send email to silicon-beach-australia@googlegroups.com To unsubscribe from this group, send email to silicon-beach-australia+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/silicon-beach-australia?hl=en?hl=en --- You received this message because you are subscribed to the Google Groups "Silicon Beach Australia" group. To unsubscribe from this group and stop receiving emails from it, send an email to silicon-beach-australia+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
