Join the Conference

Artificial Intelligence and Machine Learning Technologies

#GlobalAIBootcamp

The Global AI Bootcamp is a free one-day event organised by local communities all over the world that are passionate about Artificial Intelligence and Machine Learning on the Microsoft stack.

This one is the Brisbane edition!

New Topics

Local Speakers

REGISTER

Register only if you are going to attend the event, this will help to organise logistics and avoid problems such as food waste.

General Admission

FREE

Coffee breaks

Lunch

All seasons

REGISTER WORKSHOP

Limited Number of Seats for the Workshop.

Pre-requisites

  • Azure Pass (Passes will be provided) or subscription – Try it for Free
  • Azure Machine Learning instance. You can create this by going to the Azure Portal and click on Create new resource, and search for Machine Learning.
  • Bring your own laptop

Additional Information

The workshop will start after the keynote in the third floor, check-in is in the second floor.

Courtney Haley will be delivering this workshop.

 

SPEAKERS

Matthew Sampias
plus

Matthew Sampias

SSW

Steve Van Bodegraven
plus

Steve Van Bodegraven

Microsoft

Yousry Mohamed
plus

Yousry Mohamed

Telstra Purple

Kris Bock
plus

Kris Bock

Microsoft

Damian Brady
plus

Damian Brady

Microsoft

Bronwen Zande
plus

Bronwen Zande

Soul Solutions

Ronel Vosloo
plus

Ronel Vosloo

Microsoft

Courtney Haley
plus

Courtney Haley

MOQdigital

Jernej Kavka
plus

Jernej Kavka

SSW

Joseph Zhou
plus

Joseph Zhou

Accenture

VOLUNTEERS

Thank you to all the volunteers that make this event possible.

 

J P Arul Mozhi Varman
plus

J P Arul Mozhi Varman

Vara Prasad
plus

Vara Prasad

Shaun Alexander
plus

Shaun Alexander

PROGRAM

Registration

Registration

50min

Room 1

Global AI Bootcamp Keynote and Welcome

Global AI Bootcamp Keynote and Welcome to the event

20min

Room 1

The future of work – How AI is poised to transform business, life, and industry

How can we use AI and Machine Learning features to transform the way we work? With AI set to drive major change in a variety of industries throughout the world, the time has never been better to evaluate how we run our organisations and how we can use technology to do this better. In this presentation, we will explore and address the impacts of AI and new technologies on business as we know it and take a closer look at some new ways and ideas to apply AI and new technologies to make traditional businesses more effective.  

Download Slides

50min

Stair Stadium

Matthew Sampias

Hailing from the US’s Silicon Valley, Matthew is a technology strategist, advisor, and co-founder with passions and interest for how the rapid advances in technology are changing and evolving the ways in which we do business, communicate, and live. Having advised organisations large, small, and everywhere in-between, Matthew brings a unique perspective on how to […]

Science, Indigenous knowledge and AI weave environmental magic

Learn about a ground-breaking project, weaving together Indigenous knowledge, scientific research and artificial intelligence into a pioneering and adaptive co-management solution, creating a new framework for the way the world’s Indigenous communities can protect the environment and preserve biodiversity.

50min

Stair Stadium

Intermediate

Kris Bock

Kris is a Machine Learning Engineer at Microsoft, who is passionate about helping others learn and use Machine Learning & Artificial Intelligence in Azure.

Steve Van Bodegraven

I architect and code scalable machine learning pipelines for fast and slow data from edge to cloud and conduct bespoke machine learning analysis.

Coffee Break & Networking Morning

Coffee Break & Networking Morning

30min

AI on the edge: aka Sharp Blade Technology

IoT has started to gain traction in the last few years. Still, the initial premise was to collect device measurements or telemetry and submit them for offline analysis on another machine or on the cloud. With the introduction of devices like NVIDIA Jetson, Google Coral and Intel neural compute stick; devices have now enough power to do advanced analytics without the dependency on the cloud or even an internet connection. This has several benefits related to latency, security and overall solution cost. In this demo-rich session, we'll see how to do AI on edge devices using Azure IoT Edge platform. You will learn how to bring your own models or open source ones and run them on the device. Sync-ing data whether it's raw data or prediction results to a reporting dashboard is a very common use case that we will explore as well. By the end of the session, you will be ready to get started building your own smart IoT solutions.

Download Slides

50min

Stair Stadium

Intermediate

Yousry Mohamed

Yousry is a senior developer working for Telstra Purple. He is very passionate about all things data including Big Data, Machine Learning and Business Intelligence. He currently works with a big data team enjoying the experience of developing data pipelines, operating big data clusters and eventually finding the needle in the haystack.

https://medium.com/@ylashin

Operationalization of AI – Scaling ML efforts from Experimentation to Business impact

Operationalization of AI - Scaling ML efforts from Experimentation to Business impact

50min

Stair Stadium

Ronel Vosloo

I have been with Microsoft for 13 years as a TAM, Service Management PFE and for the last 2 years a PM in the FastTrack for Azure team. Prior to Microsoft, I spent 9 years with Compaq/HP as a hardware engineer and a Systems trainer.

Lunch & Networking

Lunch & Networking

30min

Machine Learning simplified for Developers with ML.NET

Do you want to try machine learning, but don't want to invest too much time learning a new programming language or some other complicated API? Microsoft recently launched ML.NET 1.4 which is a great entry point for .NET developers and to gain experience building something with Machine Learning. With the recent release of ML.NET Model Builder, we can create machine learning models by attempting to import raw data first and over time curate the data, to get better results. JK will show you how ML.NET works, how to leverage Model Builder, experiment with training data and what to watch out for when building models.

Download Slides

50min

Stair Stadium

Introductory and overview

Jernej Kavka

With 10 years of experience in software engineering Jernej has worked on full-stack .Net development, mobile applications, and Microsoft Cognitive Services. He worked on some of Australia’s largest corporates with great customer satisfaction.

https://jkdev.me/

DevOps for Machine Learning

Machine learning is easier to use than ever before, but how do we coordinate the teams involved? Software engineering has been maturing for decades, but introducing an unfamiliar parallel workstream like data science brings new challenges. Thankfully, we can draw upon the cross-team collaborative efforts of DevOps to bring data science and software engineering into sync. Building effective predictive models involves data acquisition and preparation, then resource-intensive experimentation and training. Data scientists don't tend to focus on testing and deploying models to production systems in sync with software releases. Working with software engineers and IT operations in a repeatable, automated, coherent pipeline is still an afterthought in many organisations, and data science teams are left out of the loop. Let's look at an end-to-end software and data science delivery pipeline that is repeatable and robust. We'll focus on model source control, repeatable data preparation, model training and continuous retraining, code validation and testing, model storage and versioning, and production deployment. Data scientists and software engineers can work together effectively to produce smart software. Let's learn how!

Download Slides

50min

Stair Stadium

Intermediate

Damian Brady

Damian works for Microsoft as a Cloud Developer Advocate, specializing in DevOps. He’s an Australian speaker, author, and developer recently based in Toronto, Canada, but now back home! Formerly a Microsoft MVP and Octopus Deploy developer, he regularly speaks at conferences, User Groups, and other events around the world. But most of the time you’ll find him talking […]

https://damovisa.me/

Coffee Break & Networking Afternoon

Coffee Break & Networking

20min

Stair Stadium

Artificial Intelligence & Automation — Technology, Engineering to Services

Will talk about the latest industrial trends on AI and Automation; and the potential of AI-based solutions through some real use cases.

50min

Stair Stadium

Intermediate

Joseph Zhou

Joseph is an experienced architect in Microsoft technologies, an agile delivery practitioner, and a veteran data scientist. In addition to over 10 years of experiences in software design and development, Joseph possesses a strong knowledge in Data Analytics, Machine Learning and AI. Joseph holds a PhD in Computer Science and has been passionate about data […]

50 Shades of Grey–Ethics In A World of Ever-Growing AI

It is the best of times, and the worst of times. We are in an age where technologists can use their skills to make amazing, positive impacts on people’s lives. With these seemingly boundless possibilities also allows us to slide into a slippery slope where the same technology can be used to harm. In this session Bronwen will cover areas of technology that can be used to help or hinder and question the increasing use of AI to bring these abilities into the hands of everyday people. She does not hold the right answers to these questions, instead wants to foster open discussion and questions on our responsibility as ethical technologists to help drive the use of technology for good.

50min

Stair Stadium

Bronwen Zande

Bronwen is a developer based in Brisbane who likes to play with new technology. She is one of the organisers of DDD Brisbane, a Microsoft MVP, SheEO activator and wildlife carer who loves to travel the world and take photos.

http://www.soulsolutions.com.au/

Closing & Networking

Closing & Networking

60min

Stair Stadium

Workshop: How to Build a Machine Learning Model with the Azure Machine Learning designer

In this workshop, you will learn how to build a machine learning model to predict the quality of wine with the Azure Machine Learning designer. We will use an example case study, with the Data Science Life-cycle as guideline. You will first look at the Business Understanding, proceed with the Data Acquisition and Understanding. Then you will start the Modeling part, the Deployment, and finally the Customer Acceptance part. We will first introduce every step, and then elaborate on the corresponding Azure Machine Learning designer components to fulfil the steps. Note: we assume you have basic machine learning knowledge, as this workshop only looks at the tooling and not the underlying techniques.

100min

The Lab (3rd Floor)

Beginner

Courtney Haley

First finding a passion for data analysis and machine learning while studying Engineering, Courtney completed an undergraduate thesis project on the optimisation of neural networks for forecasting household electricity usage. Courtney is currently part of MOQdigital’s Applications, Data and Analytics team, and works to deliver actionable data insights to clients using a range of Microsoft […]

10

LOCAL SPEAKERS

9

PROGRAMS

80

attendees 2018

SPONSORS

If you want to become a sponsor, contact the organisers. The sponsorship will cover the majority of the costs. If you are interested in becoming a sponsor or have questions, please email [email protected] and we will send you a sponsorship prospectus.

GOLD

$1,500

SILVER

$1,000

STANDARD

$700

OUR LOCAL SPONSORS

VENUE

The Precinct, located in Brisbane’s Fortitude Valley, brings together Queensland startups, incubators, investors and mentors under the one roof.

The Precinct in Fortitude Valley

The Precinct
Level 2, 315 Brunswick Street
Fortitude Valley, QLD 4006
Brisbane
Australia

MORE INFORMATION

CODE OF CONDUCT

INFORMATION

Conference Code of Conduct
All attendees, speakers, sponsors and volunteers at our conference are required to agree with the following code of conduct. Organisers will enforce this code throughout the event. We are expecting cooperation from all participants to help ensuring a safe environment for everybody.

NEED HELP?
You have our contact details in the emails we’ve sent.

THE QUICK VERSION
Our conference is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, or religion (or lack thereof). We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, parties, Twitter and other online media. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organisers.

THE LESS QUICK VERSION
Harassment includes offensive verbal comments related to gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion, sexual images in public spaces, deliberate intimidation, stalking, following, harassing photography or recording, sustained disruption of talks or other events, inappropriate physical contact, and unwelcome sexual attention.

Participants asked to stop any harassing behavior are expected to comply immediately.

Sponsors are also subject to the anti-harassment policy. In particular, sponsors should not use sexualised images, activities, or other material. Booth staff (including volunteers) should not use sexualised clothing/uniforms/costumes, or otherwise create a sexualised environment.

If a participant engages in harassing behavior, the conference organisers may take any action they deem appropriate, including warning the offender or expulsion from the conference with no refund.

If you are being harassed, notice that someone else is being harassed, or have any other concerns, please contact a member of conference staff immediately. Conference staff can be identified as they’ll be wearing branded t-shirts.

Conference staff will be happy to help participants contact hotel/venue security or local law enforcement, provide escorts, or otherwise assist those experiencing harassment to feel safe for the duration of the conference. We value your attendance.

We expect participants to follow these rules at conference and workshop venues and conference-related social events.

ATTENDANCE IS AT YOUR OWN RISK
Attendance at Global AI Bootcamp Brisbane is at your own risk and by entering Global AI Bootcamp Brisbane you agree not to hold Global AI Bootcamp Brisbane, its organisers, partners, subsidiaries or parent companies liable for any damage or distress incurred at the Global AI Bootcamp Brisbane

PHOTOGRAPHY & VIDEO
During Global AI Bootcamp Brisbane events any person may be photographed or filmed as part of the occasion, either as an individual or as a member of a group by media personnel authorised by the organizers. An individual may also appear in a photograph or video inadvertently, in the background. Permission is incorporated into the entry conditions to the event. You must inform said media personnel if you do not wish to be photographed or filmed.

Original source and credit: http://2012.jsconf.us/#/about & The Ada Initiative
Please help by translating or improving: https://github.com/leftlogic/confcodeofconduct.com
This work is licensed under a Creative Commons Attribution 3.0 Unported License
“Attendance Is At Your Own Risk” and “Photography & Video” sections have been additionally added to the licensed “Conference Code of Conduct”.

ORGANISER

David Alzamendi
plus

David Alzamendi

WARDY IT Solutions

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