This is a joint event with the Statistical Society of Australia (SSA) Canberra Branch. There will be two talks starting at 5:45pm at the event. Each talk will be of 30m presentation plus 15m Q&A. There will also be pre-talk drinks and nibbles from 5pm to 5:45pm, kindly sponsored by M&T Resources.
Date: Tuesday 26 June 2018
Venue: Allan Barton Forum, Level 2, Room 248, College of Business and Economics, ANU (Map: https://goo.gl/maps/2hFRZhJkxPA2)
5:00-5:45pm Refreshments (pizza, drinks and snacks)
5:45-6:30pm Talk #1 - Solution for real-time analytics embedded in business process, by Richard Gao, Australian Government
6:30-7:15pm Talk #2 - Machine Learning and analytics using an open data science approach, by Rishu Saxena, Cloudera
7.30pm After the talk, there will be a dinner at iPho, 10 Rudd Street, Canberra (Restaurant: https://maps.google.com/?q=10+Rudd+Street+,+Canberra&entry=gmail&source=g)
If you would like to attend the dinner, please RSVP Warren Muller ([masked]) by 2pm Monday 25 June. For seminar only, please RSVP thorough Meetup.
Topic: Solution for real-time analytics embedded in business process - Orchestra of elements to deliver real-time analytics as a critical part of business process
Speaker: Richard Gao, Australian Government
Abstract: The talk will presents three evolution stages of decision-making process: 1) time consuming non-automatic decision making process, including data collection, analysis, report and decision making, 2) automatic decision making process as part of general business process (e.g. Operational Decision Manager), and 3) modern data science-driven business process, including machine learning algorithm development and real-time algorithm deployment systems as new feature.
Bio: Mr. Richard Gao, is a lead data scientist in the Commonwealth Australia, previously worked as a data analyst and statistician across multiple Commonwealth Departments for over 10 years. Before that, he worked as an R&D manager with Huawei Technologies and Math teacher with a local Chinese university. He holds Master of Applied Statistics, MBA and Bachelor of Applied Mathematics.
Topic: Machine Learning and analytics using an open data science approach
Speaker: Rishu Saxena, Cloudera
Abstract: Data Science in an enterprise environment with strong security restrictions, mean that leveraging the latest publicly available algorithms, libraries and approaches is difficult. In this talk we will propose an approach to leverage petabyte-scale open data science, while still maintaining security and resource controls.
Bio: Rishu is System Engineer with Cloudera focusing on helping customers to leverage machine learning. Rishu has previously worked with public, research and private sector organisations to help define the vision, strategy, technical solutions and delivery approach for big data hubs, advanced analytics and visualisation. Rishu is currently studying a Masters of Data Science at Sydney University.