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Pia AndrewsExecutive Director, Data, Insights and Transformation, Customer, Delivery and Transformation Group | Department of Customer Service
Pia Andrews is currently the Executive Director, Digital Government Policy and Innovation for the Department of Finance, Services and Innovation. She leads a team of policy, design, data, development and engagement experts to drive the digital transformation of NSW Government. with the view to improving the quality of life for the NSW community.
Prior to DFSI, Pia lead the Service Innovation Lab in New Zealand, a cross agency funded and governed lab for collaborative, multi disciplinary, service design and delivery of life events based services. She has also worked previously at AUSTRAC, the Australian financial intelligence and regulation agency, in the Department of Prime Minister and Cabinet as Director for Data Infrastructure and Government Engagement, responsible for data.gov.au, at the Department of Finance as Director of Coordination and Gov2.0, and as an adviser to Senator Kate Lundy.
Pia was recognised in 2018 as one of the global top 20 most Influential in Digital Government and was awarded as one of the Top 100 Most Influential Women in Australia for 2014.
Bora ArslanChief Analytics Officer, IAG
Bora Arslan has decades of global leadership experience in the field of decision sciences including change management, digital transformations, customer experience, personalization, strategy and execution of loyalty programs.
Bora presently is the Chief Analytics Officer for Insurance Australia Group in Sydney. His current concentration is on analytics ‘solutioning’ through Artificial Intelligence and Machine Learning.
Previously Bora was the executive lead for all analytics operations with the focus on digital and retail touchpoints and performance management for Ford Motor Company through its exclusive marketing partner GTB. Bora joined GTB from BGL Group in the UK where he was the executive lead for data informed business transformations.
Bora’s responsibilities were similar to his earlier role at Walmart, where he was the VP of Global Decision Sciences and Analytics Strategy. His main objective with Walmart was to develop and maintain customer focused services and operations, utilizing advance technologies and emerging big data methods across all international operations.
Before Walmart, Bora led enterprise capability development efforts for Walgreens as the Head of Customer Analytics. Prior to Walgreens, Bora provided consulting services to a wide range of leading companies from several industries.
As Managing Analytics Partner for Peppers and Rogers Group, Bora was especially recognised after pioneering several successful efforts of creating synergistic customer experience infrastructures for large conglomerates.
Kamelia AryafarChief Algorithms Officer, Overstock
As Overstock.com’s Chief Algorithms Officer, Dr. Kamelia Aryafar leads the company’s machine learning, data science, data engineering and analytics functions across the organizations. Since joining Overstock.com in 2017, Kamelia’s teams have integrated state-of-the-art machine learning and artificial intelligence algorithms across various product teams, including personalization, pricing, ranking, search, recommender systems, marketing, CRM, advertising technologies, email, sourcing and supply chain.
Kamelia transitioned from academia to industry as a Senior Machine Learning Scientist and Lead at Etsy in 2013, where she worked with different product teams across several platforms to integrate machine learning and artificial intelligence algorithms throughout the organization. This work allowed her to apply the latest technology in the realm of e-commerce.
Kamelia holds a Ph.D. and M.Sc. in computer science and machine learning from Drexel University and a B.Sc in computer engineering from Sharif University of Technology. She has published several papers in scientific journals and conference proceedings. An active member of the machine learning community, she frequently speaks at academic and industry conferences focusing on advancing the field of artificial intelligence.
Lina BadethalavSenior Finance Systems Operations Manager, AMP
Lina Badethalav, a Senior Manager for Finance Systems & Data at AMP is an automation advocate and at the forefront of the digital transformation in Finance.
Trained as an Accountant with more than 20 years’ experience in audit, technology, finance and projects, she is leading the shift in focus for Finance to become an insightful business partner for her organisation.
Lina will walk us through AMP’s automation journey including process followed for opportunity assessment, key guidelines and principles for successful implementations, initiatives and proof of concepts that have helped deliver continuous improvement and process efficiencies.
Louise BarberHead of Data, Analytics & InsightsQantas
James Beresford MBAData & AI Practice Director, FTS Group
James is the Practice Director of FTS Data & AI, a consulting services organisation working across Australia. He has been delivering Data & AI solutions for customers for over 20 years. Across a breadth of industries from Government to Retail he has provided support from hands on technical implementation to strategic planning. Helping organisations run smarter and more efficiently is his passion and he believes data is key to achieving that. A scientific educational background has brought an appreciation of the value of informed decisions and of acquiring knowledge through experimentation. He has a deep history in the Microsoft Data and AI technology stack and FTS Data & AI is a Microsoft Gold Partner.
Dr. Adam BerryAssociate Professor, Faculty of Engineering & Information Technology, University of Technology Sydney
Adam Berry is an Associate Professor in data innovation, leading work that is focussed on the transformation of bits into knowledge through the application of data curation, machine learning, data visualisation and statistics. Prior to joining UTS in 2019, Adam was Program Director of the $20m National Energy Analytics Research Program, which focussed on dismantling barriers to energy data access and building insight through the fusion of social science, computer science and electrical engineering. Adam is a winner of the inaugural CSIRO Collaboration medal, recognising exceptional collaboration across disciplines and industry, and is passionate about bringing together teams to unlock new ways of looking at, exploring and extracting insight from data.
Phil BlytheChief Executive Officer, Greensync
Dr Phil Blythe (Ph.D.) is a leading specialist in optimising distributed energy resources for electricity markets. As the Founder and CEO of energy-tech company, GreenSync, Phil has driven the growth and enablement of decentralised energy marketplaces through innovative technology and software solutions.
Phil draws on two decades of experience in commercialising new technology in Australia and the UK. He has held senior executive positions with technology and financial services start-ups in the energy, smart facilities, media and financial risk management industries.
Phil is a member of AEMO’s Expert Advisory Panel and an active contributor to discussions around the future of energy markets, the instrumental role of distributed energy resources and grid edge innovations.
He has undergraduate qualifications in aerospace engineering and completed his PhD at the University of Sydney. Phil has held academic posts at the Max Planck Institutes in Germany and the University of Sydney.
Peter BonneyGeneral Manager Technology, Engineering and Data, Coles
Senior technology leader with a track record of success delivering customer focused solutions underpinned by a progressive application of Design, Digital and Data. With 16 years experience across Retail, Financial Services, Public Sector and Telecommunications, Peter has demonstrated effective leadership of large teams through a focus on vision and strategy. His passion for technology is focused in research and development of emerging technology and it’s trans-formative impact on culture and capability within organisations.
Areas of responsibility for Coles Group - Tech Strategy & Architecture (enterprise to infrastructure), Cloud, Engineering, Disruptive Technologies (R&D - AI, IoT, food science) IDAM, Integration (Batch / ESB / Broker / Microservice / Serverless), Data Platforms (Data Warehouses / Big Data), DevOps, Advanced Analytics, BI / Decision Support
Working with awesome people on:
• AI systems - machine vision / sensors / distributed machine learning systems
• Big data platforms
• Data streaming / complex event processing architectures
• Quality engineering
• Emerging / disruptive technologies (AI, mobility, cyber-physical systems, IoT, food science, blockchain and alike)
• Building evolutionary architectures
Tiberio CaetanoChief Scientist, Gradient Institute
Tiberio has spent the last 20 years working on machine learning in numerous roles as a student, researcher, academic, entrepreneur and practitioner. He started his research career in theoretical physics as an undergraduate, following with a degree in electrical engineering and a PhD in computer science.
He has published extensively in top-tier academic journals and conferences in machine learning, graduated numerous PhD students, and collaborated widely with researchers from across the world. He held research positions in Brazil, Canada, France, and Australia, including adjunct academic appointments at the ANU, UNSW, and University of Sydney. He spent 10 years at NICTA, where he worked as a researcher, research leader, and research group manager in the machine learning group.
In 2012 he co-founded Ambiata, a data science NICTA spin-off focusing on applying rigorous scientific methodologies for personalised decision-making using machine learning, causal inference and randomised controlled trials. As Ambiata’s Chief Scientist, he led the design of decision-making algorithms that have touched millions of consumers across several industries, including banking, telecommunications, media, insurance, and retail, spanning personalised decisions from pricing and credit scoring to advertisement and product configuration.
Tiberio believes the path to a more ethical world is through a deeper understanding of the cause and effect relationships between actions and wellbeing. He is a proponent of the rigorous application of scientific thinking and methods beyond academia and into all areas of industry, government and society more broadly.
Mark ChattertonCo-Founder, Ingenious AI
There's a growing market emphasis on personalised service, better customer experiences, and being available when and where the customers are. The challenges currently being experienced by organisations and their customers can be solved in new ways using next generation technologies such as conversational interfaces, machine learning, and A.I.
Mark co-founded inGenious AI to enable organisations to create a customer experience based on conversational language, as it’s the most natural interface for humans to use and understand. The inGenious AI chatbot CMS platform enables simple, familiar interactions via voice or text that people enjoy connecting with, and will change the way great customer service is perceived.
Professor Fang ChenExecutive Director / Distinguished Professor, UTS Data Sci / Faculty of Engineering & Information Technology University of Technology Sydney
Professor Fang Chen is a prominent leader in AI/data science with international reputation and industrial recognition. She is the winner the 'Oscars' of Australian science, 2018 Australian Museum Eureka Prize for Excellence in Data Science.
She has created many innovative research and solutions, transforming industries that utilise AI/data science. She has helped industries worldwide advance towards excellence in increasing their productivity, innovation, profitability, and customer satisfaction. The transformations to industry with practical impact won her many industrial recognitions including being named as “Water Professional of The Year” in 2016.
She has actively led in developing new strategies, which prioritise the organisation’s objectives, and capitalise on any growth opportunities. She has built up a career in creating research and business plans, and executing with leadership and passion.
In science and engineering, Professor Chen has 300+ refereed publications, including several books. She has filed 30+ patents in Australia, US, Canada, Europe, Japan, Korea, Mexico and China.
Dr. Paul DalbyBusiness Development Manager, Australian Institute for Machine Learning (AIML) at the University of Adelaide
Dr. Paul Dalby is the Business Development Manager for the Australian Institute for Machine Learning (AIML) at the University of Adelaide and is also a Director of the company Machine Learning and Visual Intelligence. He has spent his career at the boundary of University research and its adoption, and has helped to raise $250M in funding for research, commercialisation and government programs.
Rowan DollarChief Information Officer, Department of Human ServicesGovernment of South Australia
Felipe FloresGeneral Manager – Data Science and Analytics, Liberty Financial
Felipe oversees the Data Science department, enabling Liberty to leverage data and drive better customer and business outcomes. Before joining Liberty, Felipe was Head of Data Science within ANZ Bank. Prior to this, he ran his own analytics consulting company. Felipe is an active member of the data science community, lecturing at RMIT for the Masters of Data Science program, is a co-organiser of the Data Science Melbourne Meetup group and produces a podcast called Data Futurology. Felipe holds a Bachelor of Computer Systems Engineering and a Bachelor of Business Management at the University of Queensland.
Mohadeseh GanjiAI and Advanced Analytics Practice Lead, Mondo
Mohadeseh is a PhD qualified lead data scientist with 6 years of experience in working closely with business stakeholders and development of innovative machine learning models and predictive algorithms for multiple industry sectors including finance, retail, energy and telecommunication. She has been a data science research fellow at University of Melbourne and also taught Machine Learning subject at Melbourne Business School.
Silvio GiorgioGM Data Science, Finance & Commercial Services, AusPost
An energetic senior leader, appointed by the Group CFO to disrupt from within; responsible for driving the vision and strategy of Finance & Commercial Services through innovation and behavioural change to support Australia Post’s aspirations to become a leading eCommerce business.
I also lead the Group Data Science capability on behalf of the enterprise, applying artificial intelligence, machine learning, predictive modelling, robotics and other funky stuff with data to improve customer experiences and commercial returns.
The co-founder of digital start-up, Partimer. Where jobs find people. The future of hiring. No job ads. No job applications. Small businesses simply find local Partimers in minutes based on their experience and availability. www.partimer.com.au
Emma GrayChief Data OfficerANZ
John HawkinsLead Data Scientist, Data Robot / Automation Anywhere
A lead data scientist at DataRobot, John is also researcher and software developer with over 14 years’ experience in applying machine learning, statistics and other data mining techniques to a diverse range of data sets. John has built batch scoring and on-demand predictive models for customer acquisition and retention, fraud, insurance, media viewership, ad unit interaction, protein and DNA behaviour for medical science.
Tom HutchinsonExecutive, Digital Business Automation Solutions, IBM Hybrid Cloud & Integration Asia Pacific
Tom Hutchinson leads the Digital Business Automation Solutions team in Asia Pacific helping IBM’s clients achieve their business and digtial transfomation objectives.
Tom and his team of sales, channel management, business and technical professionals help IBM’s clients realise business value through solutions that grow revenue/market share, improve customer service, and increases efficiency/reduces cost.
With over 25 years of Sales, Consulting, and Technical, and Operational experience, Tom brings deep business and innovative solution insights to IBM’s clients whilst helping them address organizational, solution and technical barriers to achieving measureable business outcomes.
Tom has gained a wealth of global business and solution experience, having lived and worked in the Growth Markets for over 20 years, that he brings to his cilents.
Simon JohnstonAI Business Development LeadAmazon Web Services
Olivier KleinHead of Emerging Technologies, APAC, Amazon Web Services
Olivier draws on two decades of expertise in Internet technologies, IT architectures, and software engineering to help organizations of all sizes, from start-ups to large enterprises, apply cloud computing technologies, solve business problems, and create innovative and data driven business models. Olivier has been working for Amazon Web Services across Asia-Pacific and Europe to help customers implement architectural best practices and be successful in their digital transformation journey. He also advises how emerging technologies in the Artificial Intelligence (AI), ML, robotics and IoT space can help create new products, make existing processes more efficient and leverage new engagement channels for end-consumers. Prior to his AWS time, Olivier ran the digital product strategy for an American multinational publishing and education company across Asia and led engineering and R&D efforts to build a virtualised web service platform for a Luxembourgish Internet Service Provider pre-cloud era. Olivier earned a bachelor of science with a major in Computer Science from the University of Applied Sciences Trier and a masters degree in Software Engineering from the National University of Singapore.
Jacek KowalskiChief Data ScientistAustralian Unity
Kshira SaagarDirector of Data Science and Analytics, Global Fashion Group
Kshira Saagar (Shee-Ruh Sa-Ga) has been with the Analytics/Decision Sciences industry for almost a decade now having worked across Americas, Asia, Europe and more importantly Australia. The bulk of his work has been focussed on developing solutions for the Analytics problem spaces of the Retail, Telecom and Insurance marketing departments at some of the leading Fortune 100 clients. In his other roles, he has enabled decision making through data for clients from the Media, Healthcare, Aviation, Logistics and FMCG organisations.
Koorosh LohrasbiSolutions ArchitectAmazon Web Services
Nigel PeachRegional DirectorDataRobot
Ian ReidProfessor in Robotics and Computer Science, University of Adelaide
He was holder of an ARC Australian Laureate Fellowship, 2013-2018, the first researcher to be awarded this prestigious fellowship in the field of Artificial Intelligence and Computer Vision. He also serves as the Deputy Director of the ARC Centre of Excellence in Robotic Vision (ACRV), a $25M collaboration between 4 Australian academic institutions with the objective of creating robots see understand for the sustainable well-being of people and the environments they live in. ACRV instigated and drove the development of Roadmap for Robotics in Australia, published in 2018.
Between 2000 and 2012 he was a Professor of Engineering Science at the University of Oxford. He received a BSc in Computer Science and Mathematics with first class honours from University of Western Australia in 1987 and was awarded a Rhodes Scholarship in 1988 to study at the University of Oxford, where he obtained a D.Phil. in 1992. His research interests are primarily in computer vision and machine learning, with a particular emphasis on visual perception for robots. He has published around 250 articles with more than 20,000 citations and an h-index of 66.
His research contributions include seminal work in visual measurement and visual tracking, the first markerless human motion capture algorithm, co-invention of visual SLAM, and more recently, state-of-the-art work in semantic segmentation of images and the combination of deep learning with SLAM. His research team at U. Adelaide contributed the visual perception component of the ACRV team’s winning robot at the 2017 Amazon Robotics Challenge.
He serves on the program committees of various national and international conferences (eg General Chair, ACCV 2018, Program Chair ACCV 2014, Area Chair ICCV and CVPR), and on Academy of Sciences National Committee for Information and Communication Sciences, and was co-chair of the Academy of Sciences Expert Working Group on the Future of Autonomous Systems. He served on the editorial boards of T-PAMI (2011-2017) and CVIU (2013-2017). He was elected Fellow of the Academy of Technological Sciences and Engineering in 2016.
Bobby ShaikHead of BI, Data & AnalyticsVodafone Australia
Davinia SimonEnterprise Business Lead, Amazon Web Services
Davinia is a customer obsessed leader who understands the importance of client relationships to competitive differentiation and growth. AWS is at the forefront of a market segment where no industry is immune from digital disruption. Together with her team, she engages Australia’s most strategic, emerging Enterprise customers to transform their customer experience and the way they do business.
As an Enterprise Business Leader, Davinia is responsible for growing the businesses, finding and developing the best talent, creating value for our clients through cloud migration and innovation, as well as overseeing the work that the teams deliver.
Davinia is passionate about the power of Cloud technology, paving the way for accelerated innovation, helping businesses remain relevant, and competitive by lowering costs, and providing the solutions to create and bring services to market quickly. Using research, creativity and collaboration to reframe customer focused problems, she loves seeing the impact that great experiences can have on individuals, businesses and society.
Gandhi SivakumarExecutive Architect (Data & AI Expert Labs) Vice President for AI, IBM AoT, IBM Australia
I am Open Group Distinguished Certified Information Architect, transforming IT organisations towards “State of the Art” Artificial intelligence technologies enabled through core innovation. I have filed more than 120 patents and have many IEEE publications. I continue to co-chair many IEEE conferences and have published a book on Common Information models. I served as a Board Member of Australian Computer Society between 2012-2013. I was honoured with multiple internal and external awards for innovation.
Nick Therkelsen-TerryCEO, Max Kelsen
CEO Nicholas Therkelsen co-founded Max Kelsen in 2015 to provide big data and machine learning services to clients large and small. In his position as CEO, Nicholas is responsible for designing and executing strategic vision, project design and management, fiscal and legal governance, and team building. Prior to this, Nick was consulting for companies across a range of industries to assist with their technology requirements. Nick holds a Bachelor of Laws and Bachelor of Economics from the University of Queensland.
Nick has a broad range of expertise spanning business, economics, sales, management and law. Nick has a deep theoretical and applied understanding of cutting-edge machine learning techniques, and has been widely recognised as a domain expert in this field. He is a regular speaker at artificial intelligence meetups around the country, and also at conferences such as Gartner ITXPO, NSW Gov DC, Urbanity and IBM Think 2018.
Jenny van ZypNational Customer Analytics ManagerStockland