<span style="font-size: 11.0pt;"><img alt="robot" src="https://id.acs.org.au/servlet/servlet.ImageServer?id=0159000000EHJE6&oid=00D90000000o5NE&lastMod=1521704735000"></img><br><br><b>Artificial Intelligence</b> sets fire to the imagination. Dramatized through pop culture with movies such as The Matrix, Ghost in the Shell or Ex Machina, we are often left with a polarised view which leaves you both optimistic for a fantastic facilitated future, and pessimistic because our robot overlords will soon be taking over.</span><br> <br><span style="font-size: 11.0pt;">There is no denying the value that AI can bring to business. A convergence of many streams of technology such as computing power, massive amounts of data and algorithmic advancements creates the ability to answer questions previously answered with assumptions and relying on human experience. Artificial Intelligence, Machine Learning and Deep Learning via Neural Networks can connect the dots in ways that are impossible for a human due to the sheer massive amounts of data and computational power required to do so, and provide meaningful answers that will help business succeed.<br><br><b>Panelists include:</b></span><br><br><b>Dr. Raymond Sheh</b><br>Dr. Sheh is a<b> </b>Senior Lecturer at the Department of Computing, Curtin University where he leads the Intelligent Robots Group, and a Guest Researcher at the Intelligent Systems Division of the U.S. National Institute of Standards and Technology (NIST). He specialises in Trusted Autonomous Systems, focusing on developing standard test methods for robots (trusted abilities), investigating new forms of explainable artificial intelligence (trusted decisions) and working at the interface between artificial intelligence and cyber security (trusted integrity). Current collaborators include NIST, the U.S. Naval Research Laboratory, the Japan Science and Technology Agency and the Japan Atomic Energy Agency.<br><br><b>Ming Johanson</b><br><span style="color: black;"><span style="font-family: arial,sans-serif;">Ming Johanson a CEO running a business educating business owners and leaders on how to utilise social media to position themselves and their business more authentically online. Ming is also on the Branch Exec for ACS WA, and an Ambassador for R U OK? a non-profit organisation helping a nation to better discuss mental health and suicide prevention. Ming likes to nerd out on big data from social media channels like Facebook and will bring her insights on how A.I. is not just a pipe dream but something that is increasingly necessary and how it will transform marketing and how you the user might be contributing to this. </span></span><br><br><b><span style="font-size: 12.0pt;">Scott Yaworski</span></b><br>With more than 20 years in the Technology Sector, performing various senior management and strategic roles in Fortune 1000 companies in Canada, the US, and Australia, I’ve specialised in Microsoft Azure Cloud solutions, IOT/Big Data, predictive analytics, and custom engineered solutions.<br><br>Currently with Microsoft Australia as a Cloud Solution Architect, focused on Digital Transformation and enabling customers to achieve more with Azure. This includes managing the architecture and design of numerous IoT/big data projects across Australia in rail, mining, oil and gas, and healthcare. These projects have used a combination of open source Apache products available in the Azure ecosystem, as well as native Azure PAAS services.