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Sydney Machine Learning Startups Spark Conference

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Amazon Web Services

Level 37, 2 Park Street

Sydney, NSW 2000

Australia

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In partnership with Spark Festival & Amazon, Sydney Machine Learning is proud to announce the Sydney Machine Learning Startups Conference.

Come by at any time between 1pm and 7pm for beer, pizza, networking and speakers, presenting throughout the day on all things Artificial Intelligence / Machine Learning (AI/ML) with a particular focus on the startup ecosystem.

You will hear from experts from AI/ML startups discussing their journey and use cases along with some key industry trends.

In addition, to drive awareness of deep learning and the role of AI in autonomous driving, Amazon will host the Robocar Rally, where several teams will compete in training a 1/16 scale RC car to drive itself autonomously around a 70sqm track outside the conference rooms.


Schedule:

1pm - Jacky Koh, Vylar - Many businesses invest millions in building a data science team yet is still failing to deliver any noticeable value using data science and AI. Jacky will explore why these businesses are failing at ai and how tools like automated machine learning can help companies bootstrap ai.


2pm - Malcolm Layton, BitWoke - has developed a secure Edge AI platform for billions of IoT devices so product innovators can provide real-time AI anywhere.


2:30 pm - Christine Lion, FluroSat - Satellite data and machine learning are revolutionising agriculture. Modern agronomists and farmers need smart algorithms to become more proactive in crop management. FluroSat is exploring several ML applications in its decision support tool FluroSense - from analysis of satellite imagery to training models on agronomic observations.


3pm - Paul Conyngham & Ross McIntyre, WattBlock - Building services segregation using Deep Learning. Learn how Wattblock is applying Deep Learning & other machine learning techniques to generate real & actionable insights into building services seggregation using metering data.


4pm - Beth Carey, Pat Inc - Building a machine intelligence startup. Starting in Sydney, with R&D around Natural Language Understanding, to a Deep technology US company in Silicon Valley Beth talks about her company's journey.


4:30pm - Alex Moss, Canaria Technologies - Predictive Bio-metric Systems: Why to Build? How to Build? The talk will cover multiple problems that can be solved with a decent ECG dataset (ie Epilepsy prediction, consumer fitness tracking) and some of the best techniques to use for each of these.


5pm - Sam Zheng, CuriousThing.io - Conversational AI, opportunities and challenges.


6pm - Tim Garnsey, Verge Labs - Timing the market on AI. Every day we hear stories of success in pushing the theoretical boundaries of AI, yet in the real world the applications stay stubbornly stuck in small niches. This talk covers the current state of what works well in AI today, where to expect new advances, and what parts will be confined to the lab for a very long time.

6:30pm - Andy Huang, Servian - Data, Cloud & AI, Servian


About the speakers:


Jacky Koh:

Jacky is currently the co-founder of Arg AI a Machine learning startup focused on AutoML and co-founder of Vylar that is both an app consulting and a self app development company that has built many chart topping apps hitting #1 overall in the appstore with 4 million + installs. Jacky is also currently consulting and building AI tech for IAG Satellite and a former EY Data and Analytics data science consultant.

Malcolm Layton:

Malcolm has a Masters in Technology from the University of New South Wales NSW. He has over 15 years designing technology-based products and services for Start-ups through to Fortune 500 companies. Malcolm's current focus is on global product design for Edge AI and ML applications for industry 4.0. He utilises Human centred design, Design and systems thinking to understand human behaviour for AI application.

Christine Lion:

At FluroSat, we believe that deep science is vital to sustainable food and fibre production. We are using world's best research to create a user-centred software that helps agronomists and farmers make informed decisions based on highly differentiated analysis. We apply the latest in remote sensing, agricultural science, machine learning and AI to fuse together multiple sources of data and create selective, accurate and actionable insights. Join us on our mission to help the world to sustainable feed and clothe itself.

Beth Carey:

Co-founder & CEO of global machine intelligence startup, Pat Inc, making computers understand language (Natural Language Understanding technology). Beth has a history of building and managing Corporate IT businesses of over 150 technical professionals and building businesses from 'zero to one'. Experienced Leadership Development facilitator. www.pat.ai

Alex Moss:

Alex is CEO & Head Designer of Canaria Technologies: a company standing at the crossroads of innovation between the space industry, the resources sector, medicine, and cutting edge AI. Their NASA award winning product in development is the Canaria Earpiece: a real-time vital signs monitoring medical device powered by ML to predict cognitive fatigue. Alex has won numerous awards for her ground-breaking work in predictive biometric medical devices including: Global Winner Best Use of Hardware 2016 NASA International Space Apps, Sir Richard Branson’s Worldwide Top 10 Tech Start-ups Extreme Tech Challenge 2017, Global Aerospace Summit 2018 Young Space Leader and Komatsu Top 4 Tech Innovators to Watch Out For in 2018.

Sam Zheng:

Sam Zheng, Co-founder at Curious Thing
Sam is a tech entrepreneur, self-taught engineer and qualified actuary. He has rich experience in building AI product for business problems. Curious Thing, the company he co-founded, is the next generation conversational AI platform for intelligent question. Before Curious Thing, Sam was the co-founder and CTO of Hyper Anna, an AI for business analytics startup.

Tim Garnsey:

Tim Garnsey works at the AI startup Verge Labs. At Verge Tim takes the theoretical research published by universities and tech companies, and works out how to apply it to the traditional problems businesses face today.


We reserve the right to modify the schedule & list of speakers without notice. Additional speakers will be announced closer to the date.

Spaces are limited, get your tickets now.

This event is made possible by our generous sponsors:


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Due to Amazon Facilities Management safety requirements we will be limiting the total number of people at the venue to 180 people at any time throughout the day.

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You may be photographed or videod while attending this event: please approach the organiser if you have questions, concerns, or do not wish this to happen.

The event organisers may add you to a mailing list so they can follow up, and you can receive updates about their activities: this mailing list will have an easy-to-find unsubscribe button.

This event is part of Spark Festival and upholds the Spark Code of Conduct.

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Date and Time

Location

Amazon Web Services

Level 37, 2 Park Street

Sydney, NSW 2000

Australia

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