telstra
Telstra joint venture to axe more than 200 jobs amid AI rollout
Telstra CEO Vicki Brady will oversee 209 job cuts, as the telco rolls out AI capabilities and sends some jobs offshore. It comes after a $700m joint venture in 2025 with technology consultancy Accenture. Telstra CEO Vicki Brady will oversee 209 job cuts, as the telco rolls out AI capabilities and sends some jobs offshore. It comes after a $700m joint venture in 2025 with technology consultancy Accenture. Some jobs will be moved offshore in wake of telco's $700m partnership with tech consultancy Accenture More than 200 Telstra jobs are expected to be cut, as the telco rolls out AI capabilities and sends some jobs to India.
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Lead Data Scientist
Since 2002, Quantium have combined the best of human and artificial intelligence to power possibilities for individuals, organisations and society. Whether it be building forecasting engines that are driving down food wastage or creating mapping tools to support targeted measures in combatting human trafficking, Quantium believes in better goods, services, experiences, and championing the benefits of data for a brighter future. Q-Telco is the new joint venture between Quantium and Telstra to unlock the full potential of data and AI for Telstra and its customers. We'll do this by combining our market leading data science and AI capabilities with Telstra's customer, product and network data assets. This new partnership will not only provide personalised and data-enabled products and offers for Telstra's customers, but it will also embed proactive and predictive AI and machine learning across Telstra's core business.
Trends To Watch In 5G Connected Vehicles
We all know 5G networks are here. Although autonomous vehicles are getting a substantial amount of attention, it is actually the technology that connects through fast speed and low latency cellular technology that is rapidly changing this industry with connected cars. As vehicles continue to advance, they are becoming more defined, automated, and electrified. In-vehicle connectivity is now thought to be a requirement from the outset. This transition to connected vehicles, that are intelligent, is certainly here and the smartphone will act as a personal assistant, providing music, the latest reports, and also maps that are needed.
Telstra (ASX:TLS) makes artificial intelligence play
The Telstra Corporation Ltd (ASX: TLS) share price is currently up as its artificial intelligence play makes headlines. The telco giant is going to work with Woolworths Group Ltd (ASX: WOW) controlled Quantium to help accelerate its use of AI, according to reporting by the Australian Financial Review. The AFR reported that Telstra and Quantium form a joint venture that will start by developing products and services for Telstra's enterprise customers in industries like mining, agribusiness and logistics. Telstra can provide the data, whilst the analytics and AI capabilities will be provided by Quantium. The Telstra CEO, Andy Penn, believes that this partnership will mean that it will be able to attract some of the top data talent.
Video analytics at the edge, an ideal technology for 5G cloud monetization
Creating a programmable software infrastructure for telecommunication operations promises to reduce both the capital expenditure (CAPEX) and the operational expenses (OPEX) of the 5G telecommunications operators. What is exciting to many of us who work in this space is that the convergence of telecommunications, the cloud, and edge infrastructures will open up opportunities for new innovations and revenue for both the telecommunications industry and the cloud ecosystem. In this blog, we focus on video, the dominant traffic type on the internet since the introduction of 4G networks. With 5G, not only will the volume of video traffic increase, but there will also be many new solutions for industries, from retail to manufacturing to healthcare and forest monitoring, infusing deep learning and AI for video analytics scenarios. The symbiotic evolution of video analytics and edge computing provides opportunities for operators to offer new services which they can monetize with their customers.
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Telstra throws deep learning at its network challenges
Telstra is running deep learning algorithms over its Networks data to predict equipment failures before they occur and to find ways to address voice and SMS scams. Data science (Networks) team manager Tim Osborne revealed the project, which is codenamed Telstra AI Lab or TAIL, in a presentation to IBM's Think 2020 conference overnight. TAIL is operating on a still-evolving applied data science platform pieced together with IBM's assistance. It uses a mix of existing Cisco UCS C240s and new IBM Power System AC922s for compute, and a Kubernetes-based stack on top, including Kubeflow, which is used to run machine learning algorithms on Kubernetes. Osborne said TAIL was supported by a team of 25 data scientists and date engineers, who worked "with network engineering folks end-to-end across the business, looking to solve some of their most challenging problems with data science."
Businesses ready to test AI ethics principles Ministers for the Department of Industry, Innovation and Science
Some of the biggest businesses in Australia will trial a series of eight principles around artificial intelligence, developed as part of the Morrison Government's AI Ethics Framework. NAB, Commonwealth Bank, Telstra, Microsoft and Flamingo AI have signed up to test the principles to ensure they deliver practical benefits and translate into real world solutions. Minister for Industry, Science and Technology Karen Andrews said AI is a powerful technology that can create jobs, boost the economy and improve our quality of life and is an important part of the Government's economic plan. "The Morrison Government is determined to create an environment where AI helps the economy and everyday Australians to thrive. The eight AI ethics principles are just one part of this vision," Minister Andrews said.
SiteSee deploys ContextCapture to model communication towers
US: Telecommunication infrastructure owners have some of the most widely distributed and remote assets to build, maintain, and repair. With approximately 27,000 distributed sites and 6,000 communication towers under management, Telstra is Australia's leading telecommunication service provider. Traditional inspection methods of towers involve manually taking photographs and measurements. This requires workers climbing on the towers, usually in remote areas, making the process dangerous, inefficient, costly, and time-consuming. In 2017, Telstra engaged SiteSee to perform automated as-built and condition assessment reports by applying machine learning and object recognition technology to 3D reality meshes.
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Quantum Computing and Deep Learning. How Soon? How Fast?
Summary: Quantum computing is now a commercial reality. Here's the story of the companies that are currently using it in operations and how this will soon disrupt artificial intelligence and deep learning. Like a magician distracting us with one hand while pulling a fast one with the other Quantum computing has crossed over from research to commercialization almost without us noticing. Has the dream of Quantum computing actually stepped out of the lab into the world of actual application. Well, Lockheed Martin has been using it for seven years.
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How Telstra is applying machine learning to marketing mix modelling
Understanding the impact and optimal combination of marketing and media tactics for success is an increasingly complicated task for marketing functions. It's even more difficult if you want to interpret the data in a quick enough timeframe to optimise, pivot or swap out marketing programs while they're still in-market. But this is exactly what Telstra is becoming able to do thanks to a new marketing mix modelling approach based on machine learning, rolled out in June. Telstra director of research, insights and analytics, Liz Moore, told CMO the ASX-listed telco built an econometric approach to marketing mix modelling about five years ago based on the need to better understand the ROI of marketing at a strategic level. While it satisfied one organisational need – namely, giving the CFO a view of marketing ROI – it was an expensive exercise, taking 4-5 months to gather more than 300 data sources, plus months to build the modelling.