Advancing Analytics Program
Program and speakers are subject to change
THURSDAY 18 OCTOBER 2018 |
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7.30 - 7.35 | Conference Welcome |
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7.35 - 8.55 | Hot Breakfast Insights - can natural language and automated insights make dashboards sexy again?Will Scully-Power, Chief Executive Officer & Co-Founder, PASCAL Tim Manns, Chief Data Officer & Co-Founder, PASCAL
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8:55 - 9:00 | Welcome address by conference chairAntony Ugoni, Director, Global Analytics and Artificial Intelligence, SEEK and Chair of IAPA |
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9:05 - 9:50 | Making the black box transparent: the ethical and operational impacts of AI and roboticsDr. Brian Ruttenberg, Principal Scientist, NextDroid
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9:50 - 10:35 | First-hand perspectives from the boardroom: how the c-suite really views the role of analyticsAmanda Fleming, Chief Transformation Officer, Super Retail Group Kate Carnell AO, Ombudsman, Australian Small Business and Family Enterprise Ombudsman
Moderated by Stephen Porges |
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10:35 - 11:05 | MORNING TEA |
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BUSINESS STREAM | TECHNICAL STREAM | |
11:05 - 11:35 | Embryonic business: AI as the genesis of transformation in fertility and beyondMichelle Perugini, Co-Founder, Life Whisperer
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The new world of cloud data warehousing – a deep diveAlan Eldridge, Director Sales Engineering APJ, Snowflake Computing Data warehousing is dead, long live data warehousing! At an increasing rate, organisations across many industries are creating and applying innovative data-analytics driven applications for everything from improving internal, operational processes and to providing exceptional customer experiences. All depend on timely and reliable analytics. This session explores new world, built-for-the-cloud architecture and gets under the hood of the technology that combines diverse data sets, automatically scales to meet ever changing application demands while delivering consistently great performance. |
11:35 - 12:05 | Living in an exponential world: the essential elements for business in the futureMatt Kuperholz, Chief Data Scientist, PwC
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Increase your Analytics productivity with AI – a deep dive into IBM Watson Cloud ServicesKieran Hagan, Big Data and Analytics Technical Team Leader for Australia and New Zealand, IBM This session focuses on how to add artificial intelligence into your analytics analysis - from the collection of streaming data and preparation of structured and unstructured data through to the analysis using machine learning and AI. This tutorial will walk you through the IBM micro-service information delivery concepts and how you can add Watson-based services to your next initiative. Join Kieran as he goes under the hood of next generation business insights, data integration and AI-enabled analytics. |
12:05 - 12:35 | Leveraging data for greater business benefit: a retail exampleGenevieve Elliott, General Manager – Data, Analytics and Customer Strategy, Vicinity Centres
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12:35 - 1:35 | LUNCH |
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1:35 - 2:05 | Turning analytics into your business success secret weaponSandra Hogan, Group Head, Customer Analytics, Origin Energy
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Boosting the speed of your machine learning and analytics efforts – a deep diveJohn Hawkins, Data Scientist, DataRobot Machine learning / artificial intelligence are noted as the most highly sought skills in recent IAPA surveys. With various programs and options available to build machine learning models, analytics professionals are also faced with increasing time pressures to build, train and deliver to production machine learning models. Join Data Scientist John Hawkins for this deep dive into the automated AI platform used by Virgin Australia and medical insurer Avant. The indepth session will demonstrate how the platform from DataRobot can train and validate various ML models rapidly - with the chosen model able to easily scale to production environments.
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2:05 - 2:35 | Real-world healthcare and digital transformation lessonsDr Clair Sullivan, Chief Digital Health Officer, Metro North Hospital and Health Service
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Explaining deep neural networks and AI – a deep diveDr. Brian Ruttenberg, Principal Scientist, NextDroid Deep neural networks are complex and opaque. As they are used in a variety of important and safety critical domains, ways to explain predictions are being sought. Join Brian in this deep dive session that technically explains explainable AI. Brian will share an approach to explaining deep neural networks by constructing causal models on salient concepts using autoencoders trained to extract human-understandable representations of network activations. This results in the ability to identify and visualize features with significant causal influence on final classification. |
2:35 - 3:15 | Is the interface to AI the analytics game changer?
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3:15 - 3:35 | AFTERNOON TEA |
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3:35 - 3:45 | What's your talent worth?Kathryn Gulifa, Chief Data & Analytics Officer, WorkSafe Victoria A sneak peek at the outcomes of the 2018 IAPA Skills and Salary Survey
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3:45 - 4:15 | Getting real: the ethics and impact of AI and analyticsDavid Bloch, GM Advanced Analytics, Fonterra
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4:15 - 5:00 | Making a difference: Data Science for Social GoodRayid Ghani, Director, Center for Data Science and Public Policy, University of Chicago
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5:00 - 5:05 | Conference Closing RemarksAntony Ugoni, Director, Global Analytics and Artificial Intelligence, SEEK and Chair of IAPA |
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5:05 - 6:00 | NETWORKING DRINKS |