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Event Schedule

  • Conference in Melbourne : 06 - 07 March, 2019


Day 1: Machine Learning & Deep Learning Day (06th March, 2019)


X Topic Abstract

By learning from businesses' abundant historical data, predictive analytics provide something beyond standard business reports and sales forecasts: Actionable predictions for each customer. This talk will provide delegates with the techniques, tips, and pointers crucial in running a successful predictive analytics and data mining initiative. Learn how to strategically position and tactically deploy predictive analytics and data mining at your organization, bridge the prevalent gap between technical understanding and practical use, and create an effective predictive model to aid in building unique competitive advantages for marketing.

Speaker Profile

Dr William Yeoh is the Director for IBM Centre of Excellence in Business Analytics at Deakin University Australia. His main research interests include Business Intelligence and Analytics, AI, Data Mining, Information Quality, Enterprise Systems, Cloud Computing & Crowdsourcing. His research are supported by various funding bodies and have appeared in high-tier journals and top conferences. Dr Yeoh has won numerous awards including the 2017 ICT Educator of the Year Gold Award (awarded by the Australian Computer Society ACS - the Australia's premier ICT professional association), internationally-competitive IBM Faculty Award that rarely bestowed on Australian-based academics, Deakin’s Vice-Chancellor Award, and Faculty Excellence in Research Award.


X Topic Abstract

Deep learning is one the hottest topic in recent years, with ever increasing layers so is the complexity, and hence computation power required for training. To increase the efficiency of the network optimization for deep learning become increasing in demand. In this talk we will introduce several different optimization techniques and walkthrough some examples on how to best apply these techniques.


X Topic Abstract

This talk will discuss and unpack the key building blocks to creating an effective and efficient analytical function within your organisation (affiliated with leading RMIT business school research). We look into the typical growth / development paths companies take, and more specifically look into case studies as to why some companies come to a dead-end, some experience significant hurdles and why some fly through their journey.

Speaker profile

He has always had a passion and affinity for technology. To this day, he continue to be inspired by the profound way in which technological innovation can have a significant impact on organisations and more importantly society as a whole.
His consulting experience spans across multiple industry sectors (e.g. ITC, Financial Services, Insurance, Mining, Media and Retail) with a range of applications in business analytics and data science (i.e. operations research, statistical analysis, forecasting, simulation, optimisation and strategic planning).


X Topic Abstract

This talk will explore how Long Short Term Memory (LSTM) recurrent neural networks combined with python can use artificial intelligence to provide, invalid, unexpected or random data as inputs for testing software and finding security vulnerabilities


X Topic Abstract

In this presentation, I will explore the different marketing problems that Deep Learning is already being applied to. Delve into a case study to illustrate the process whereby an organisation without a team of Machine Learning engineers can harness the capability of this technology to automate human perception tasks. Finally, I finish by touching on the current capabilities and limitations of Deep Learning, highlighting the types of issue organisations face when attempting to get a project underway.

I will walk you through the details of the presentation. I use a lot of fascinating use cases, and just a little bit of data theory, to help answer crucial Digital and AI questions and assess the best course of action for complex organisations who are on their path to apply digital thinking to the real world customer issues, so that they can create unique and measurable digital experiences.

Audience Takeaway :
AI marketing use cases, voice-based search strategy, chat-bot strategy, marketing automation.

Speaker Profile

Neel Bhattacharya is an experienced leader in digital marketing analytics, AI automation and disruptive technologies with a focus on delivering sustainable competitive advantage and profitability. She has over 15 years of deep customer life-cycle management experience across a number of industries, in the ANZ, Asia and North American regions.

She has driven digital marketing and AI enabled marketing optimisation practices at companies such as IBM, Symantec and most recently Infosys Consulting. Currently, she is a Management Consultant for Infosys Consulting where she is responsible for educating, advocating and driving disruptive technologies, digital analytics and optimisation best practices for her clients. Neel brings to the table a proven ability to identify and capture strategic market opportunities through an omni-channel approach. As an active member of the digital marketing community, she is also a regular speaker at various industry events. She holds a Masters in Communication Management from University of Delhi and a Diploma in Creative Writing from the Chicago State University, USA.


X Topic Abstract

1. The progress of computer vision.
2. Different approach in different areas and industries
3. Things we did in our project and how we utilizes computer vision to innovate the industry.


X Topic Abstract

The advent of the role of a data scientist is societies ever increasing need for interdisciplinary roles. A programmer who understands and appreciates the statistics, which is a statistician who can program really well
Statistics teaches us the right questions to ask, but what is the data telling us ?

Speaker profile

As CEO of The Adaption Apex Lab and director of OCEANH2.0, Aram Cargill is also on the board of directors for Ledsen as well as an non-executive director a Kanga innovations. Having pioneered the adaption of DARE ( Deception Analysis Reasoning Engine ) for advanced lexical psychometric testing through mobile phone technology. Acting as a keynote speaker and chair for the Annual Congress of Psychiatry in Paris in 2018. 2019 is set to be a big year with the launch of OceanH2.0 machine learning operational psychology within a artificial intelligence framework to further advance psychographic information for greater personalisation of the relationship between man and machine


X Topic Abstract

ConversationalAI - represented by chatbots, smart speakers, and agents designed to create and manage written and verbal conversations are one of the most exciting frontiers of machine and deep learning. At the heart of conversational AI is NLP - Natural Language Processing, driven by machine and deep learning. While one of the uses of NLP is generative chatbot creation, it can also be used effectively for enhancing older deterministic systems and also as a way to generate analytics towards the goal of improving customer experiences.
This presentation looks at some practical applications of NLP to existing chatbots and conversational systems - and best practices that stakeholders must consider before/while implementing enterprise conversational AI.


X Topic Abstract

Machine learning has created surge in data thirst like we’ve never seen before. It is recognized as fact that the more data a machine has access to the more accurate the decisions made can be. It is touted as the attempt to move from AI to Artificial General Intelligence (AGI) where the machine morphs from one that is following instructions to one which makes up it’s own instructions. How is the interplay between machine intelligence and human intelligence going? Is the focus of the instructions being given the focus we are ultimately best served by? Stuart will look at the relationship between machine and human and challenge the notion of intelligence. The balancing of agendas with respect to the best outcome is much trickier than we can imagine transcending even the notion of binary and whether an instruction manual is possible.

Speaker profile

Stuart Holmes: Owner Business Consultant – The Hunch + Partners 2015-Current
https://www.linkedin.com/in/stuartholmesthehunch/ Stuart Holmes spent over four years studying Philosophy, Psychology and Marketing in the 90's attaining a Bachelor of Arts at Monash University and Post Graduate studies in Marketing/PR at RMIT. With a career spanning over 20 years in People, Culture and Recruitment he was joint founder of SMAART Recruitment in 2005 and for the last four years The Hunch. As a business consultant he has created digital communities for clients becoming an accomplished Facebook Business tools adviser and a specialist in audience segmentation and messaging. Growing his computer science knowledge coupled with an interest in machine learning and AI he recently attained Microsoft Partner and Microsoft Developer status. For the past four years the commercial focus on people, market analysis, AI, voice and human behaviour has The Hunch consulting more specifically in these areas. An accomplished presenter and thought leader in the recruitment space he has been one of the outspoken advocates against the reliance on psychometric testing, due to the rigid stereotyping it imprints upon its human audience. With published essays on the rise of narcissism, Facebook's capitalisation on the endemic of the false self and the digitalisation of the analogue he sees the identity of true self becoming a quandary for data integrity, AI analysis and machine learning


X Topic Abstract

The talk will present how innovation combined with data analytics can lead to breakthrough technologies. The talk will illustrate this using some examples. An outlook at future trends and directions created by Artificial Intelligence (AI) will be presented to allow the listener to imagine possible futures.

Speaker Profile

Prof. Alexe Bojovschi, #1 Amazon Best Seller of "INNOAPHORISMS - A spark each day - EMPOWER INNOVATION" in Business, Management & Leadership, Decision-Making & Problem Solving category in 5 countries including USA, Australia, Canada, France and Germany, is an inventor and innovator. His innovations are used by his own companies, IntAiB, iiRNet and iDataMachine and other organizations with whom he worked including IBM, American Air Force Research Laboratory, Australian Defence Science and Technology, Monash University, RMIT University, Victoria Partnership for Advanced Computing, Swinburne University of Technology and Aston University. He holds 8 US and international patents and has published many technical papers. He is a pioneer in deriving technology and business insights from BigData. Alexe developed accelerated learning, creativity and innovation techniques and courses delivered at IntAIB and RMIT University. Alexe is working currently with The University of Melbourne, IND-Technology and Amity University on innovation projects.


X Topic Abstract

That sounds great. I hope I can go better with large scale web crawling using python. I can explain the way it works and the positive and negative aspects involved in it. Can be able to discuss further about Crawl rates, Right Data and other important aspects of it. Security measures and legal aspects involved in it.

If possible I can be able to show some examples from my previous projects involving large scale web crawling.

schedule 09:00AM - 09:15AM Registration
schedule 09:15AM - 09:30AM Conference Overview
Nitesh Naveen, Partner & Managing Consultants - Digital Transformation, 1.21GWS
schedule 09:30AM - 10:00AM Predictive Analytics Using Data and Insights to Transform Marketing and Personalization - Click Here for More Info
Dr. William Yeoh, Director, IBM Centre of Excellence in Business Analytics, Deakin University
schedule 10:00AM - 10:30AM Optimization for Deep Learning - Click Here for More Info
Louis Liu, Data Scientist, ANZ
schedule 10:30AM - 11:00AM Tea Break
schedule 11:00AM - 11:30AM An Analytical Maturity Development Framework for Organisations - Click Here for More Info
Tony Savides, Director, BSC Australia
schedule 11:30AM - 12:00PM May the Fuzz be With You - Click Here for More Info
Heidi Thorpe, CEO & Founder, Cat with a Monocle
schedule 12:00PM - 01:00PM Lunch Break
schedule 01:00PM - 01:30PM Disruptive Technologies: AI Advances That Will Transform Marketing - Click Here for More Info
Neel Bhattacharya, Sr. Management Consultant, Infosys
schedule 01:30PM - 02:00PM Computer Vision in Real Estate Industry - Click Here for More Info
YiFei Wang, Director, Happy Hackers Pty Ltd
schedule 02:00PM - 02:30PM Data sciences developing role in the humanities and social sciences - Click Here for More Info
Aram Cargill, Managing Director, LEDSEN
schedule 02:30PM - 03:00PM Conversational AI with NLP and Deep Learning - Click Here for More Info
Prashant Natrajan, Transformational Tech Leader, Principal - AI & Analytics, Deloitte Australia
schedule 03:00PM - 03:30PM Tea Break
schedule 03:30PM - 04:00PM Machine vs Human – A Brave New World of Intelligence - Click Here for More Info
Stuart Holmes, Business Owner, The Hunch & Partners
schedule 04:00PM - 04:30PM AI Driven Innovation and Innovation-Driven AI - Click Here for More Info
Alexe Bojovschi, Innovation Mentor, University of Melbourne
schedule 04:30PM - 05:00PM Let's Talk About the Web Spiders/Web Crawling With Python - Click Here for More Info
Neelakanteswar Patnaik, Full Stack Developer

Day 2: Data Visualisation Day (07th March, 2019)

X Topic Abstract

In Australia , whilst lot of enthusiasm and euphoria around Data science(DS).
The adoption rates are not comparable with rest of the world.There are specific reasons that needs answers.

My presentation to cover-
the key trends in data science that are applicable to ANZ market
What is working right
What are the deterrents
What are the enablers

X Topic Abstract

Data visualisation design isn't about displaying data; it’s about displaying data in a way that makes it easier to comprehend—that’s where the real value lies. Unfortunately, a lot of people think that slapping a few charts together means you’re doing data visualisation design well,there are a few simple things you can do to massively improve how your data visualisation looks—and how people interpret it. These small tweaks can make a world of difference for your viewer—and even save your credibility. Then I would like to cover the topic on how to choose the right chart type and Best practices of data visualisations. All the results backed up with examples and conclude with Do and Dont of Data visualisation.

Speaker Profile

10+years of experience in BI Project. Led a team of multinational data scientists & business intelligence analysts using Microsoft Business intelligence tools (SSRS, SSIS and SSAS) and various data visualisation tools.
Delivered over 600 plus reports & analyses supporting key processes in various Industry.
Improved technical skills horizontally & vertically through training & mentoring.
Managed the organisational transition of the team from the business to IT.
Stakeholder for new enterprise data warehouse development project.
Led a project team responsible for the data validation & reconciliation on a migration project of 75,000 customers.


X Topic Abstract

It is interesting to define intelligence initially. Then identifying what is data science (DS). Then move towards business centric benefits. Introduce what my involvement in Data Science. Inter-disciplinary approaches, changing DS landscape. The finally defining the professional models that uphold and reinvigorate data science.

Speaker Profile

Champ Mendis is the Chief Data Scientist at Triple A Super. He also work as an adjunct lecturer for Charles Sturt University, Chair, Computer Society Chapter, Australia IEEE VIC/TAS Section. He has more than 10 years of experience working in Data Science, Artificial Intelligence & Machine Learning and worked for organizations such as Colmar Brunton, University of Melbourne, ACTU, DST (formerly DSTO), University of Sydney, ACTU and ARRB. He holds a PhD in Computing and Information Systems from University of Melbourne and was a member of one of the best research groups in Data Science in Australia

X Topic Abstract

In data science we often interested in the relationships between hundreds of different variables. Being able to represent these relationships visually can often yield significant insights. This presents a challenge for data visualisation since we cannot visualise more than three spatial dimensions as humans. We can split the approaches to deal with this problem into two broad categories. Firstly, there are techniques aimed at reducing the number of variables, we call these dimensionality reduction techniques. Secondly, there are techniques aimed at increasing the number of dimensions we can visualise such as heat maps, pairwise plots and using colour to represent extra dimensions. In this talk we will provide an overview of these techniques.

Speaker Profile

My educational background is in pure mathematics. After my studies I created my company, De Roza Education and research that focuses on tuition and the development of educational material. I wrote software in C++ to automate the production of education material. I soon realised that it is extremely difficult to develop certain types of material such as reading comprehension using only standard programming techniques.

X Topic Abstract

A case study on how data visualization of qualitative and quantitative data analyzed to make government departments understand the key aspects of the 2018 Election. Organizations deal with a huge volume of structured and unstructured data every day. Effective Word Cloud visualization, visualizing the co-relation and how different variables are connected, providing the key to understand the data and the connection between them are an integral part of presenting data in a convincing way. This highlights the key aspects of data, which helps people to make important decisions.

X Topic Abstract

Using data science in retail has become a necessity to keep up with the competition. Retailers have to realize that big data technologies can help them focus their resources efficiently, make smarter decisions, and improve performance. New sources of data, from transaction data to trajectory data and social media data, present more information about customers and open new opportunities for retail organizations to achieve unprecedented value and competitive advantage in a fast-growing industry space.
By deploying the right tools and the right processes, data scientists can infer what and when customers want. This talk helps you to better understand the value of big data analytics in the retail industry. We will take a look at six use cases of data scientist in retails, which are currently in production in big retail companies.

Speaker Profile

A Ph.D. qualified data scientist with 5 years of commercial experience and a strong mathematical background who has won several national and international mathematics awards. Amin takes advantage of his mathematical ability in mining and analyzing data to bring value to businesses. With years of professional experiences, Amin has been working on different types of data including time-series, spatio-temporal data (trajectories & GPS), card transaction data, graphs (networks), customer data, bank data, text logs, and sensor data. He Joined Urbis early 2018 to work on card transaction data and analyze and enhance retail performances.

X Topic Abstract

"As a certified geek, I’ve found it difficult to understand relationships and marriage. So I’ve done what any other geek would do – use data analytics to understand my wife, how and when I should communicate with her more effectively, and understand why she is reading certain books whereas I’ll happily bury my nose in the latest technical whitepaper for fun. So if you want to be able to understand how data analytics can potentially save your marriage too, then come along."

Speaker Profile

Bio version 1 : "Tom Mason is the founder of Cyberman Consulting and was the Head of Sales for a data analytics software company. He is a member of AISA, the Australian Information Security Association, and BECCA, the Business Espionage Controls and Countermeasures Association. He has more than 20 years’ experience in the IT industry. In his spare time he practices aikido and speaks to schools and universities around the world about online safety, social engineering and advances in data analytics."
Bio version 2: "Tom Mason is the founder of Cyberman Consulting and was the Head of Sales for a data analytics software company. Many have described him as a certified geek and his profile pic clearly demonstrates this as he spent 4.5 years building his own movie grade wearable Darth Vader costume. Some say that he was not born but crafted from a computer chip but no one can deny he has a true passion for information technology. Tom is a member of AISA, the Australian Information Security Association and BECCA, the Business Espionage Controls and Countermeasures Association. He has over 20 years experience in many different disciplines of IT. In his spare time, he practices a martial art called aikido and speaks to schools, business and universities about how to stay safe online, the art of social engineering and the advances in data analytics."
My passion is around IT security and data analytics and my goal is to not only educate the audience but to do it in a fun and memorable way. My motto is, "If I can help one more person stay a little bit safer online – then I have done my job"

schedule 08:45AM - 09:00AM Registration
schedule 09:00AM – 09:15AM Registration / Conference Overview
Nitesh Naveen, Partner & Managing Consultants - Digital Transformation, 1.21GWS
schedule 09:15AM – 10:00AM Adopting Data Science in Enterprise : Good , Bad & Ugly - Click Here for More Info
Manohar Esarapu, National practice Lead NTT Data
schedule 10:00AM – 10:45AM Identify different types of data visualizations and how to use them effectively - Click Here for More Info
Bhavika Unnadkat, Head of Data technology, Momentum Energy
schedule 10:45AM - 11:15AM Tea Break
schedule 11:15AM - 12:00PM Data Science: Theory to Practice - Click Here for More Info
Champ Mendis, Chief Data Scientist, Triple A Super
schedule 12:00PM – 12:45PM Data Visualisation in Higher Dimensions - Click Here for More Info
Shaun De Roza, Data Science Consultant, General Assembly
schedule 12:45PM – 01:45PM Lunch Break
schedule 01:45PM – 02:30PM Data in Context: Science Insights through Visualization - Click Here for More Info
Khitish Mohanty, Data Scientist, Department of Premier and Cabinet (Vic)
schedule 02:30PM – 03:15PM How data science brings value to retails - Click Here for More Info
Amin Sadri, Data Scientist, Urbis
schedule 03:15PM - 03:45PM Tea Break
schedule 03:45PM – 04:30PM How data analytics saved my marriage - Click Here for More Info
Tom Mason, Qualitative Data Analytics Software engineer, QSR International

Conference Ticket Price & Plan

Special Offer Price for both days

AUD 550

Till 15th February, 2019

Conference ticket

Tea break

Any One Day

AUD 300

Till 06 March, 2019

Conference ticket

Tea break

Both Days

AUD 600

Till 06 March, 2019

Conference ticket

Tea break