Data security threats from malicious insiders have already been recognised as a big problem for businesses – but an IBM Australia-built proof of concept could go a long way towards solving it with an artificial intelligence (AI) based solution that can spot disgruntled workers before they have acted. The tool grew out of an AI-themed internal hackathon run at IBM's Gold Coast-based Australian Security Development Lab, where developers are encouraged to come up with novel solutions. A team of IBM Security engineers realised that businesses are collecting masses of data about network performance and user behaviour, QRadar flows product owner Holly Wright told CSO Australia, and set about looking for ways this information could be meaningfully paired with other data and analysed to give greater insight about users' state of mind. "QRadar gives us deep visibility into the messages, views and emails going across the network," explained Wright, who shared details of the project with attendees at AISA's recent Australian Cyber Conference. "We decided to look at users from a risk perspective. We're essentially leveraging that information that's on the network, that nobody has really done anything with."

Kevin Ross is the chief executive of Precision Driven Health, a research partnership that is applying machine learning models to health data in order to improve outcomes and personalise medicine. Kevin will be speaking at this year's Orion Health UK and Ireland Customer Conference 2019, and ahead of the event he spoke about its work, the tools that are now being made available to Orion Health customers, and why he is looking for like-minded organisations to "tune" models for their own populations. What is Precision Driven Health? Precision Driven Health is a research partnership that applies machine learning to data sets in order to improve health outcomes by delivering a more personalised experience for patients. It was formed when Orion Health, the University of Auckland and Waitematā District Health Board recognised that we all had capabilities that we could bring together.

Technology spending in the banking and securities sector in Australia is expected to reach A$18.5 billion in 2020, an increase of 5.2% from 2019, according to Gartner, Inc. Behind this growth are new investments in modern business intelligence (BI), augmented analytics and robotic process automation (RPA) software. Globally, the banking and securities industry spends the most on information technology products and services. In Australia, it is the second-largest-spending industry after communications, media and services, representing 19.2% of total enterprise IT spending. "The banking and securities industry continues to spend in pursuit of digitalization, whether through digital business optimization or transformation," said Neha Gupta, research director at Gartner. "The introduction of open banking in Australia is also driving new technology investments."

Gartner, Inc. today revealed its top strategic predictions for 2020 and beyond. Gartner's top predictions examine how the human condition is being challenged as technology creates varied and ever-changing expectations of humans. "Technology is changing the notion of what it means to be human," said Daryl Plummer, distinguished vice president and Gartner Fellow. "As workers and citizens see technology as an enhancement of their abilities, the human condition changes as well. CIOs in end-user organizations must understand the effects of the change and reset expectations for what technology means."

This holiday season we ask: How can artificial intelligence and other new technologies help make our roads safer? This article also appears on LinkedIn. Stop me if you've heard this one before: Why did the chicken cross the road? While you ponder that question, let me ask you another: Have you ever wondered if the chicken manages to cross the road safely? Every year, especially during festive seasons, hundreds of thousands of people across the world pack their bags and families, and journey back to their home towns where joyous celebrations and loved ones await.

A recent study conducted by Oracle and research firm Future Workplace found that 64% of people would trust a robot more than their manager. The study included 8,370 employees, managers and HR leaders across 10 countries. Its aim was to see how AI has changed relationships between people and technology at work. It did have some surprising results when comparing human supervisors to potential robot overlords. According to the study, 64 % of people would trust a robot over their manager.

Dr Sue Keay may love robotics, but there's nothing mechanical about her trailblazing vision for Australia's technology future. Not only did she set up the world's first robotic vision research centre, she is a graduate of the Australian Institute of Company Directors, and judges the James Dyson Awards and the Australian Museum Prizes. At present, she leads the Commonwealth Scientific and Industry Research Organization's (CSIRO) Data61 Cyber-Physical Systems program. We recently spoke with Dr Keay about CSIRO, blending science and business, and where the future may lead. "CSIRO, Australia's national science research agency has been in existence for over 100 years," she told VENTURE.

The UK's Department for International Trade (DIT) are proud to be the Lead Partner Country at CEBIT Australia 2019 in Sydney from 29 - 31 October 2019. Visit the UK Pavilion at stand F45 to find out more about UK's capability in technology or to meet with innovative British technology companies. DIT are running a series of activities throughout the week. More details to be announced shortly. DIT will be bringing 10 innovative UK tech companies to showcase on the UK pavilion.

The New Zealand Government has awarded NZ$13 million ($12.1 million) in funding to the University of Waikato for a new research project aimed at helping New Zealanders solve the nation's critical environmental problems. The funding from the Ministry of Business, Innovation and Employment's Strategic Science Investment Fund will be spread over seven years. It will be used to support the university's Time-Evolving Data Science/Artificial Intelligence for Advanced Open Environmental Science (TAIAO) project. The TAIAO project will involve the development of new machine learning methods for time series and data streams tailored to processing large quantities of data collected on the New Zealand environment. It is being conducted as part of a collaboration between the Universities of Waikato, Auckland and Canterbury, Beca and MetService. It has the participation of highly qualified data scientists, data engineers and environmental scientists.

Noname manuscript No. (will be inserted by the editor)ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels Angus Dempster · Fran cois Petitjean· Geoffrey I. Webb Received: date / Accepted: date Abstract Most methods for time series classification that attain state-of-the-art accuracy have high computational complexity, requiring significant training time even for smaller datasets, and are intractable for larger datasets. Additionally, many existing methods focus on a single type of feature such as shape or frequency. Building on the recent success of convolutional neural networks for time series classification, we show that simple linear classifiers using random convolutional kernels achieve state-of-the-art accuracy with a fraction of the computational expense of existing methods. Keywords scalable · time series classification · random · convolution 1 Introduction Most methods for time series classification that attain state-of-the-art ...