Xero taps artificial intelligence for SMBs across the globe

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Xero has global expansion plans for Xero Signals, its data service to help small business owners understand how they are faring compared to the larger market. "Signals will be rolled out globally, or where we have significant subscriber numbers which is Australia, UK and the US," says Anna Curzon, Xero's local managing director. "We have some initial data for the UK and we'll be rolling out Australia soon." With the use of big data and machine learning, SMBs can be alerted to economic trends in advance, she states. "The Xero platform is providing unique and real-time insights into the importance of small business in economies," she told the audience at a panel discussion on cross border e-commerce at the Tripartite Economic Summit in Auckland.


Automation, machine learning vital for IoT

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The true value of the Internet of Things is when it is used in conjunction with autonomous devices and machine learning, according to SAS' chief analytics officer for Australia and New Zealand, Evan Stubbs. Speaking at the SAS Analytics Insights event in Sydney yesterday, he said that IoT is just a small part of the "bigger revolution that's going on", which includes big data, analytics, machine learning and automation. "The Internet of Things in isolation is really boring at the end of the day," he said. "The exciting thing about the Internet of Things is the fact that it can create an entire army of autonomous devices linked to a central intelligence that can make decisions for us. "So the fact that your toaster has an IP address – who cares?


Accelerating genomic research with high-performance computing

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The vast amount of information encoded in an individual's DNA tells great tales of one's health and disease conditions. When the first human genome was sequenced, the project that began in 1990 took over 10 years and cost around $2.7 billion. According to Andrew Underwood, CTO, HPC & Artificial Intelligence, Dell EMC, Australia and New Zealand, data intensive computing is fast becoming a dominant approach. Especially in R&D, it is a rapidly growing field of research built on data that is generated from scientific instruments, people, machines and IoT devices. Data comes in high velocities and in large volumes – requiring scientists to harness the power of high performance computing to analyze data faster for timely insights in their field of research.


Why Machine Learning And Big Data Will Produce The Earliest Wins

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Machine learning and Big Data will produce the earliest wins for organizations utilizing emerging digital technology, according to Sehida Frawley, SAP Australia and New Zealand head of digital business services. However, she cautions, generating value and confidence in the technology will depend on an organization's resources, technology ecosystems, and trust. For example, in order for organizations to trust the outcome of machine learning, they must also be able to trust the underlying data, Frawley said. The trust requirement extends to other technology, like blockchain, where there must be "trust in the relationship of that chain." Ultimately, generating value from emerging technology like machine learning, blockchain, and IoT will also depend on resources – how much effort is required to have success – and the technology ecosystems to support new applications, Frawley said.


DigitalGlobe to Map Buildings Using Machine Learning in the Cloud - Via Satellite -

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DigitalGlobe's WorldView 3 satellite captured this image of Sydney, Australia in January 2015. DigitalGlobe has formed a partnership with Ecopia Tech to use proprietary Artificial Intelligence (AI) algorithms and cloud computing to create building footprints. By using Ecopia's U.S. Building Footprints powered by DigitalGlobe, customers will have current information on structures in their areas of interest. Ecopia, a developer in DigitalGlobe's Geospatial Big Data platform (GBDX) ecosystem, established a process to create building footprints quickly and at scale by leveraging machine learning in combination with DigitalGlobe's cloud-based 100 petabyte imagery library. According to Ecopia, the service provides actionable insights for observing, analyzing, and monitoring business processes such as supply chain management, urban planning, and asset monitoring for industries that include energy, insurance, real estate, telecom, and location-based services.