Oz Startup News – Thursday, 10 January 2019

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Ridesharing, organic farming among sectors to watch in 2019

Market research group IBISWorld has put ridesharing services at the top of its list of growth industries to follow in Australia this year, with booms also expected for LNG, organic farming, software publishing and foreign banks.
“This year the standout industry performer is expected to be Ridesharing Services, with forecast revenue growth of more than 80%,” says IBISWorld senior industry analyst Kim Do.

By Business News Australia

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The Product Hunt Launch Guide: 40+ Things You Need to Know

Ahron Burstin from Gleam writes: “Launching on Product Hunt is an outstanding way to get your product in front of all kinds of tech enthusiasts. This can help you drastically increase website traffic, build press coverage, generate valuable feedback and most importantly find potential users.
As awesomely powerful as a successful Product Hunt launch is, it can be hard to stand out amongst the hundreds of products which are posted every week. To help you make the most of your Product Hunt launch we’re going to take you through how you can make most of your launch and drive amazing results”

By Ahron Burstin from Gleam

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Sydney’s VAPAR receives grant to help councils and utilities manage stormwater and sewerage assets

Sydney startup VAPAR, whose artificial intelligence technology is helping councils and utilities providers manage their stormwater and sewerage assets, has received a $25,000 MVP Grant from Jobs for NSW.
Founded by Amanda Siqueira, a civil engineer, and Michelle Aguilar, a mechatronic engineer, the business was born out of Siqueira during an internship having to manually review hours of pipe CCTV inspection footage to identify any problems.

By Startup Daily

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REFLECTIONS FROM A TOUR OF REGIONAL QUEENSLAND INNOVATION ECOSYSTEMS

Chad Renando writes: “Over the past few years I have been on a journey to understand how these relationships work and what a region can do to make the system more effective. The best way to do this is to go and see, to hear the stories first hand.”

After recently completing his tour Chad details his findings on what makes an ecosystem tick in this detailed post.

By Chad Renando from Startup Status

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Top 10 tech trends for 2019

Steve Sammartino highlights the top ten tech trends he will be looking out for in 2019, including his number one pick which he calls Algorithms as ingredients, stating that Seventy years ago we didn’t know what was inside our packaged foods. Likewise, few of us understand what algorithms are, and more importantly what’s inside them. Here’s why this will be an emerging issue in 2019…

By Steve Sammartino

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“Very early entry” with AR takes Domino’s into uncharted food retail territory

With $1.6 billion in online sales worldwide representing almost two-thirds of its business, Domino’s Pizza Enterprises (ASX: DMP) is upping the ante to make sure it stays at the vanguard of digital tech development.
The company is now around two months in since the launch of an augmented reality (AR) Pizza Chef for its ordering app in Australia and New Zealand, after a prototype garnered strong interest from customers. Here’s more on their use of AR….

By Business News Australia

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AUSTRALIAN WOMEN ENCOURAGED TO UPSKILL IN PREPARATION FOR NEW TECHNOLOGICAL REVOLUTION

AUSTRALIAN women are encouraged to upskill in data and technology in preparation for a future dominated by the technology industry.
Global not-for-profit organisation, She Loves Data, is the founder of a worldwide movement to help Australian women upskill in data and technology regardless of their career background.
She Loves Data CEO and co-founder, Jana Marle-Zizkova, said a new technological revolution had begun and we need to be ready for it.

By Dynamic Business

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Train AI to prevent bias – or risk creating it

As the architects of AI, we control the data these systems are developed with, and herein lies the problem. How do we ensure the AI we design doesn’t reflect our own, or an already prevalent bias? A global survey by BCG and MIT Sloan Management Review involving more than 3,000 executives found that less than half understood the data needs of algorithms or the processes required to train them when implementing AI programs.
But if that’s true, how can we expect our AI to be truly unbiased?

By Startup Daily

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