X

Submit Your Talk


X

Register

Event Schedule

  • Conference in Melbourne : 19 - 23 November, 2018


Day 1: Machine Learning & Deep Learning Day (19th November, 2018)


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

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

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.

schedule 09:00AM – 09:15AM Registration / Conference Overview
Nitesh Naveen, Partner & Managing Consultants - Digital Transformation, 1.21GWS
schedule 09:15AM - 10:00AM May the Fuzz be With You - Click Here for More Info
Heidi Thorpe, CEO & Founder, Cat with a Monocle
schedule 10:00AM – 10:45AM AI Driven Innovation and Innovation-Driven AI - Click Here for More Info
Alexe Bojovschi, Innovation Mentor, University of Melbourne
schedule 10:45AM - 11:15AM Tea Break
schedule 11:15AM - 12:00PM Optimization for Deep Learning - Click Here for More Info
Louis Liu, Data Scientist, ANZ
schedule 12:00PM - 12:45PM Machine Learning: Experimental Evaluation
schedule 12:45PM – 01:45PM Lunch Break
schedule 01:45PM – 02:30PM Deep learning for Systems and Networks Resource Management
schedule 02:30PM – 03:15PM Recent Advancements in Deep Learning Techniques Using GPUs
schedule 03:15PM - 03:45PM Tea Break
schedule 03:45PM – 04:30PM Deep Reinforcement Learning for Game Playing
schedule 04:30PM – 05:15PM Intelligent Embedded Systems Architectures and Application

Day 2: Data Visualisation Day (21st November, 2018)


X Topic Abstract

Innovation is the driving idea behind a majority of current emerging technology projects. As these technologies become more mainstream, a more proactive and balanced approach to business value and innovation is what will create truly impactful projects. This talk covers true innovation: innovation within constraints. Using lessons learnt in enterprise-level projects that can be used at any level of project implementation.

Speaker Profile

Jeremiah is focused on creating machine learning, natural language, and deep learning projects valuable and relatable. He has received numerous industry awards, recently recognised for industry contribution as one of the Top 25 Analytics Professionals in Australia for 2018 by the IAPA.


X Topic Abstract

Same data can tell a very different story when presented differently. Data visualisation become a vital part of influence and hence decision making. In this talk we will discuss a number of data visualisation types and the best way to utilise them to make an impact to serve your needs.

I like to cover some Dos and Donts, as well as psychology.

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

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

schedule 09:00AM – 09:15AM Registration / Conference Overview
Nitesh Naveen, Partner & Managing Consultants - Digital Transformation, 1.21GWS
schedule 09:15AM - 10:00AM Balancing Innovation With Business Value in Data Science Projects - Click Here for More Info
Jeremiah Mannings, Managing data Scientist| Australia | Co-founder & Head of Tech, Evolved Projects, Capgemini
schedule 10:00AM – 10:45AM Identify Different Types of Data Visualisations and How to Use Them Efficiently - Click Here for More Info
Louis Liu, Data Scientist, ANZ
schedule 10:45AM - 11:15AM Tea Break
schedule 11:15AM – 12:00PM Data in Context: Science Insights through Visualization - Click Here for More Info
Khitish Mohanty, Data Scientist, Department of Premier and Cabinet (Vic)
schedule 12:00PM - 12:30PM How Data Science Brings Value to Retails - Click Here for More Info
Amin Sadri, Data Scientist, Urbis
schedule 12:30PM - 01:00PM Data Science: Theory to Practice - Click Here for More Info
Champ Mendis, Chief Data Scientist, Triple A Super
schedule 01:00PM – 01:45PM Lunch Break
schedule 01:45PM – 02:30PM Data Visualization Tools & Techniques
schedule 02:30PM – 03:15PM How Visualization helps my e-commerce start-up to grow
schedule 03:15PM - 03:45PM Tea Break
schedule 03:45PM – 04:30PM Look before you leap: Utilizing Visualizations in Machine Learning
schedule 04:30PM – 05:15PM Visualization and Vocalization for the Industrial IoT

Day 3: Analytics Using R, Python & Tensorflow (23rd November, 2018)


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.
Besides that I can also give a talk about deep fake the new AI which makes use of machine learning and Deep learning. This is an artificial intelligence-based human image synthesis technique.

schedule 09:00AM – 09:15AM Registration / Conference Overview
Nitesh Naveen, Partner & Managing Consultants - Digital Transformation, 1.21GWS
schedule 09:15AM - 10:00AM Let's talk about the web spiders/ "web crawling with python - Click Here for More Info
Neelakanteswar Patnaik, Freelance web designer
schedule 10:00AM – 10:45AM How Helpshift built machine learning platform using Python at large scale
schedule 10:45AM - 11:15AM Tea Break
schedule 11:15AM – 12:00PM Large scale web crawling using Python
schedule 12:00PM - 12:45PM Python Project Workflows Continuous Deployment Friendly
schedule 12:45PM – 01:45PM Lunch Break
schedule 01:45PM – 02:30PM May the R be with You: Exploring the Star Wars Universe
schedule 02:30PM – 03:15PM Open Source Success: A Decade of R in Finance
schedule 03:15PM - 03:45PM Tea Break
schedule 03:45PM – 04:30PM Swift for TensorFlow: Swift As A First-Class Language For Machine Learning
schedule 04:30PM – 05:15PM Using TensorFlow to Prototype, Train, And Productionalize Your Models

Conference Ticket Price & Plan

Any One Day

AUD 300

Till 23rd November, 2018

Conference ticket

Tea break

Any Two Days

AUD 600

Till 23rd November, 2018

Conference ticket

Tea break

All Three Days

AUD 900

Till 23rd November, 2018

Conference ticket

Tea break