Techbest – Top Tech Reviews In Australia
The best in Australian gadgets and technology
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
Sennheiser MOMENTUM True Wireless 4 Smart Earbuds with Bluetooth 5.4, Crystal-Clear Sound, Comfortable Design, 30-Hour Battery Life, Adaptive ANC, LE Audio and Auracast – Black Graphite
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
Moza is elevating the simulation racing experience with the launch of their eagerly awaited Multi-function Stalk accessory. This innovative product aims to provide a more genuine sensation to your racing simulator setup through car-grade components and real-world functionality.
The Moza Multi-function Stalk accessory features an impressive selection of 28 programmable switches, which include functions for wipers, headlights, and cruise control. This degree of customization enables sim racers to enjoy a setup that closely replicates actual driving, making it ideal for everything from high-octane racing to leisurely driving in truck or farming simulators.
A standout feature of this accessory is the auto-cancelling turn signals. Just like in a real vehicle, these signals will automatically turn off after the turn is done, contributing an extra layer of authenticity to your sim setup. This functionality is especially beneficial in racing scenarios where paying attention to details can be crucial.
The new Multi-function Stalk accessory is compatible with all Moza wheelbases, ranging from the entry-level R3 to the high-performance R21. It also supports select third-party bases, making it a flexible choice for sim racers. Additionally, the design allows for both standard and inverted setups, catering to your specific preferences.
Moza has made certain that the Multi-function Stalk accessory is not only functional but also aesthetically pleasing. Its hidden screw design provides a sleek and modern look, making it a striking addition to any sim rig. Moreover, the installation process is straightforward, allowing you to quickly return to racing with minimal interruption.
The Moza Multi-function Stalk accessory is priced at USD $199.00, representing a reasonably priced upgrade for sim racing enthusiasts looking to enhance their rigs. Shipping is set to commence in 6-8 weeks, making this an excellent time to place your order and be among the first to enjoy this exciting new product.
For further details, please visit Moza’s official product page.
Moza’s latest Multi-function Stalk accessory is packed with features intended to enrich the realism and customizability of your sim racing experience. With its 28 programmable switches, auto-cancelling turn signals, and seamless compatibility with both Moza and select third-party bases, this accessory is essential for any dedicated sim racer. At a price of USD $199.00 and with shipping scheduled in 6-8 weeks, this addition to the sim racing landscape is surely thrilling.
The Moza Multi-function Stalk accessory is distinguished by its 28 programmable switches, auto-cancelling turn signals, and compatibility with both Moza and select third-party bases. These features come together to provide a highly customizable and immersive sim racing experience.
Yes, though the accessory is primarily crafted for Moza wheelbases, it is also compatible with selected third-party bases, offering versatility for various setups.
The accessory is listed at USD $199.00, making it an accessible upgrade for sim racers aiming to enhance their experience.
Shipping of the Moza Multi-function Stalk accessory is anticipated to start in 6-8 weeks from the date of the order, so customers can look forward to receiving their units soon thereafter.
Yes, the Moza Multi-function Stalk accessory is versatile and suitable for a variety of simulators, including truck and farming simulators, in addition to racing simulators.
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
XiaoMi True Wireless Earphones 2 Basic The New Headphones Have a Longer Battery Life. with Excellent Sound Quality, Easy to Adjust. White (International Edition), Mi True Wireless Earphones 2 Basic
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
Domino’s Pizza Enterprises, the foremost pizza chain in Australia, is leveraging artificial intelligence to enhance its operations. The company has revealed intentions to introduce an AI-based smart rostering system throughout its global operations within the next 12 to 24 months. This calculated initiative is designed to optimise labour expenses and boost in-store effectiveness, reinforcing Domino’s status as a technologically advanced leader in the fast-food sector.
With the fast-food sector becoming more competitive, organizations like Domino’s are adopting technology to keep their advantage. The AI-enhanced rostering system aims to more precisely forecast customer demand, thereby optimising workforce allocation and decreasing labour costs. This system utilises machine learning algorithms to evaluate historical data, weather patterns, and local events to estimate how many employees are needed at various times of the day.
A significant advantage of this AI-driven system is its capability to minimise human errors in scheduling, which frequently results in either overstaffing or understaffing. Through this technology, Domino’s can guarantee that an appropriate number of employees are scheduled during both peak and non-peak times, enhancing customer service while simultaneously sustaining cost efficiency.
Domino’s initiated early testing of the AI-enhanced rostering system in Australia, New Zealand, and the Benelux region. The successful outcomes of these trials have led the company to pledge a full implementation across its global networks by FY2025-26. The trials showcased notable advancements in labour cost management and operational efficiency, essential in the fiercely competitive fast-food landscape.
Alongside the AI-enhanced rostering system, Domino’s is broadening its in-store workforce tracking and management solution. This system has already demonstrated encouraging results in Australia, New Zealand, and the Benelux region. It enables store managers to effectively oversee employee performance and make real-time modifications, further refining labour costs and improving customer service.
Despite the obstacles faced during FY24, Domino’s Pizza Enterprises reported an underlying net profit after tax of $120.4 million. While this marks a 1.9% decrease from the prior year, the organization remains hopeful about the future. The introduction of AI-driven technologies is part of a wider strategy to boost operational efficiency and sustain profitability in an evolving marketplace.
The integration of AI technologies is poised to be a vital aspect of Domino’s long-term strategy. By enhancing workforce management and operational efficiencies, the company intends to maintain its lead in an increasingly data-driven fast-food sector. The global deployment of the AI-enhanced rostering system represents a significant advancement in this direction and could establish a new benchmark for the industry.
Domino’s Pizza Enterprises is preparing to transform its operations with the worldwide launch of an AI-driven smart rostering system. Following successful trials in Australia, New Zealand, and the Benelux region, the company intends to roll out the system across all its outlets within the coming 12-24 months. This effort aims to optimise labour expenses and enhance operational effectiveness, aligning with Domino’s larger strategy to harness technology for competitive leverage. The company additionally reported a net profit of $120.4 million for FY24, despite a slight dip compared to the previous year.
The AI-enhanced rostering system is a smart scheduling solution that employs machine learning algorithms to predict customer demand and optimise staff allocation. It evaluates various data inputs, such as historical sales information, weather conditions, and community events, to ensure that restaurants are appropriately staffed at peak times.
The system has been undergoing initial trials in Australia, New Zealand, and the Benelux region. The trials have indicated that the system can significantly enhance labour cost management and operational efficiencies, prompting Domino’s to commit to a complete rollout by FY2025-26.
In addition to the AI-enhanced rostering system, Domino’s is también expanding its in-store workforce tracking and management infrastructure. This technology aids store managers in monitoring employee performance and making real-time adjustments to streamline labour costs and boost customer service.
Domino’s plans to globally roll out the AI-enhanced rostering system over the next 12-24 months, with full implementation expected by FY2025-26.
This AI-driven strategy is a component of Domino’s broader ambition to utilise technology for operational efficiency and retain a competitive advantage in the fast-food market. By optimising labour expenses and upgrading customer service, the company seeks to enhance profitability and long-term viability.
Domino’s announced an underlying net profit after tax of $120.4 million for FY24, reflecting a 1.9% decrease from the preceding year. Despite this minor decline, the company remains positive about future growth, particularly with the integration of new technologies.
Labour costs constitute a significant expense in the fast-food arena, and proficient workforce management is essential for upholding profitability. By implementing AI-enhanced rostering and advanced tracking systems, Domino’s aims to streamline these costs while concurrently improving customer service and store performance.
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
Jabra Elite 4 Wireless Earbuds, Active Noise Cancelling, Discreet and Comfortable Bluetooth Earphones with Spotify Tap Playback, Google Fast Pair, Microsoft Swift Pair and Multipoint – Lilac
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
As the global threat landscape progresses, Palo Alto Networks has reinforced its role as a significant figure in the cybersecurity field. The company recently revealed its fiscal 2025 revenue and profit forecasts, which surpassed Wall Street’s estimates, highlighting the growing interest in its cybersecurity solutions. Alongside these announcements, Palo Alto has also introduced a $500 million (AUD 744.6 million) share buyback initiative, further emphasizing its optimistic financial outlook.
Palo Alto Networks finished its fourth quarter with a 12% revenue rise, totaling $2.19 billion and beating analyst projections of $2.16 billion. The company reported an adjusted earnings per share of $1.51, exceeding estimates of $1.41. These outcomes demonstrate that Palo Alto’s growth strategy is effectively resonating with its clientele, particularly amid a continuously expanding range of online threats.
This quarter, Palo Alto Networks has transitioned its primary financial metric to next-generation security annual recurring revenue. This strategic adjustment reflects the company’s intent to broaden its next-gen security offerings, which include advanced products like the Prisma cloud security suite and the AI-driven Cortex portfolio. According to CFO Dipak Golechha, this indicator will now form the foundation for both quarterly and annual revenue forecasts.
The company’s stock increased by around 2% in extended trading after the earnings report. Investors were encouraged by the strong financial figures and the share buyback announcement. However, the stock saw a brief decline during a post-earnings discussion when CEO Nikesh Arora noted that a recent global IT outage had prompted several customers to reconsider their cybersecurity alternative. This outage, associated with a software update from CrowdStrike, has underscored the risks involved in depending on a single provider for security solutions.
Palo Alto Networks is not the sole cybersecurity leader benefitting from the surge in demand. Earlier this month, competitor Fortinet also heightened its annual revenue outlook, indicating broader industry growth. As cyber threats become increasingly sophisticated, organizations are placing more emphasis on their cybersecurity investments, creating a favorable market landscape for firms like Palo Alto and Fortinet.
In anticipation of future growth, Palo Alto Networks has targeted continued expansion. The company forecasts that its annual revenue will range from $9.10 billion to $9.15 billion, closely aligning with analysts’ predictions of $9.11 billion. Additionally, the company expects an adjusted earnings per share between $6.18 and $6.31, contrasting with the consensus estimate of $6.19.
Palo Alto Networks is thriving on the mounting demand for cybersecurity solutions. Its exceptional financial results in Q4 2023, along with a positive outlook for fiscal 2025, highlight the company’s resilience and strategic insight in an evolving threat landscape. By emphasizing next-generation security products and a strong share repurchase strategy, Palo Alto is poised to take advantage of the burgeoning cybersecurity market.
The shares rose due to the company’s robust financial performance in Q4 2023, which exceeded analyst projections. The announcement of a $500 million share repurchase plan also contributed to increased investor confidence.
This transition signifies the company’s commitment to expanding its next-gen security offerings, which include the Prisma cloud security suite and the AI-enhanced Cortex portfolio. This aims to provide a more precise measurement of its recurring revenue and future growth capabilities.
The outage, tied to a software update from CrowdStrike, prompted some customers to reassess their cybersecurity vendors. Although this caused a short-lived dip in Palo Alto’s shares during the post-earnings call, the overall effect on the company’s financial outlook seems limited.
Palo Alto Networks stands as one of the foremost players in the cybersecurity realm, alongside competitors like Fortinet. Both companies are reaping the benefits of the rising demand for cybersecurity solutions, as businesses increasingly prioritize their online security.
Palo Alto Networks anticipates its annual revenue to fall between $9.10 billion and $9.15 billion, with an adjusted earnings per share ranging from $6.18 to $6.31. These projections align well with or slightly surpass analysts’ estimates.
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
soundcore by Anker Liberty 4 NC Wireless Noise Cancelling Earbuds, 98.5% Noise Reduction, Adaptive Noise Cancelling to Ears and Environment, Hi-Res Sound, 50H Battery, Bluetooth 5.3 (Velvet Black)
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
In a notable action, OpenAI has cut off access to its ChatGPT platform for an Iranian organization recognized as Storm-2035. This group was discovered to be exploiting the AI chatbot to generate content intended to sway significant global occurrences, particularly the imminent US presidential election. The material produced by ChatGPT spanned various contentious subjects, including analysis of US presidential candidates, the ongoing situation in Gaza, and Israel’s role in the Athletic Games.
Storm-2035’s activities serve as a clear illustration of how AI tools, such as ChatGPT, can be misappropriated to produce and spread content aimed at altering public sentiment. While AI provides myriad advantages in content generation, it also introduces complications if used unethically. In this situation, the group took advantage of ChatGPT to craft detailed articles and concise social media messages. Fortunately, OpenAI’s inquiry indicated that the initiative failed to gain substantial momentum, with most posts attracting minimal engagement.
Microsoft, a principal supporter of OpenAI, has been actively involved in scrutinizing and responding to the unethical use of AI technologies. A report published in August indicated that Storm-2035 was already noted by Microsoft for its divisive messaging targeting US voter demographics. The network had been interacting with diverse political viewpoints on sensitive matters such as LGBTQ rights and the Israel-Hamas issue. Microsoft’s insights were essential in recognizing and mitigating the risks associated with this group.
Following the findings, OpenAI has prohibited the accounts linked to Storm-2035 from accessing its services. The company has also pledged to maintain its vigilance against any future attempts to misuse its AI models. This event is part of a larger trend; earlier in the year, the AI firm disrupted five additional covert influence operations that aimed to exploit its models for deceptive purposes across the web.
The deployment of AI in political influence operations brings forth significant ethical dilemmas. As AI technologies grow in sophistication, the risks of misuse proliferate. This situation highlights the urgency for strong protective measures and oversight mechanisms to avert AI from being weaponized in political or social strife. It also underlines the necessity for global collaboration to tackle the challenges brought about by AI-generated content, especially in the realm of elections and other critical events.
OpenAI has taken firm measures by restricting access to its ChatGPT platform for an Iranian organization known as Storm-2035. The group was utilizing the AI tool to create content aimed at influencing the US presidential election and various global matters. Despite their attempts, the operation showed minimal impact, with the majority of the content garnering little to no interaction. This occurrence underscores the ongoing obstacles in managing AI technology to prevent abuse, particularly in politically charged environments. OpenAI, with Microsoft’s support, stays alert in its mission to combat such unethical applications of its technology.
Storm-2035 sought to sway the US presidential election and other global matters by generating and distributing content across various channels. The focus of the content included contentious topics such as US presidential candidates, the Israel-Hamas conflict, and LGBTQ rights.
OpenAI’s investigation determined that the initiative was largely ineffective. Most of the content produced by Storm-2035 achieved little to no engagement, rendering the influence operation weak.
OpenAI has disabled the accounts tied to Storm-2035 from accessing its ChatGPT platform. The company is actively monitoring for any further attempts at misuse to ensure its AI technology is not improperly utilized.
This situation sheds light on the ethical challenges of AI technology, especially when used to impact political dynamics. It emphasizes the necessity for stringent safeguards and global cooperation to prevent AI from being misused in delicate situations like elections.
Indeed, earlier this year, OpenAI intervened in five other covert influence operations that were attempting to use its models for deceptive ends. These cases further illustrate the critical need for vigilance in managing AI technology.
Microsoft, as a vital supporter of OpenAI, was key in tracking and identifying the actions of Storm-2035. Their threat intelligence report from August underscored the group’s endeavors to engage US voter demographics with divisive messaging, contributing to the decision to restrict access to ChatGPT.
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
Hmusic Bluetooth Neckband Headphones, Wireless Earbuds with 30 Hours Playtime, Noise Isolating Wireless Earbuds for Jobsite, Sports, Running, Gaming
We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!
The significance of technology at Suncorp, now exclusively general insurance, has surged with the launch of its three-year tech strategy. This plan sets bold objectives regarding platform upgrades and innovations powered by AI, anticipated to influence the company’s future operations.
In a pivotal move, Suncorp has recently divested its banking segment to ANZ, effectively streamlining its portfolio. CEO Steve Johnston noted that this transaction signifies the completion of a comprehensive strategy aimed at simplifying operations. As a result, Suncorp has become a more straightforward trans-Tasman general insurer.
Despite simplifying its portfolio, Johnston emphasized that this process was grounded in extensive technological improvements. These advancements not only supported the separation of banking and insurance sectors but also established a foundation for upcoming innovations.
As Suncorp embarks on its three-year plan, modernising its platforms is a central area of focus. The enhancement of the policy administration system (PAS) constitutes the next major initiative in this ongoing journey. Johnston underscored the necessity of transforming PAS, stating, “a modern insurance company cannot rely on technology developed before 80% of its staff were born.”
The PAS enhancement is perceived not just as a technological update but as a comprehensive reconfiguration of Suncorp’s general insurance enterprise. This transformation seeks to diminish complexity, hasten market readiness, and foster more innovative offerings for customers. This initiative is already active in New Zealand with AA Insurance and will soon branch out to AAMI in Australia and other sectors.
While platform modernisation is critical, Suncorp’s focus on operational transformation is increasingly directed towards AI utilization. Johnston disclosed that the company has already created over 100 AI use cases, with the most promising ones planned for funding in FY25. Suncorp identifies general insurance as a prime candidate for AI advantages but is proceeding cautiously in its deployment.
Adam Bennett, Suncorp’s Group Executive of Technology and Operations, noted that AI is currently being applied in diverse areas, including pricing, claims, risk modelling, customer service, and automation. The forthcoming three years will see the firm leverage this momentum, introducing additional generative AI use cases intended to revolutionise its operational framework.
Suncorp has been investigating generative AI for over a year, and Bennett asserts that the technology has matured sufficiently to make a substantial impact on large enterprises. The upcoming year will concentrate on lower-risk use cases that enhance insights, productivity, and employee assistance.
Suncorp has outlined an ambitious plan for over 20 generative AI use cases slated for launch within the next year. These include tools that provide a comprehensive view of active claims while suggesting optimal next steps and a customer service tool to assist frontline employees in quickly addressing customer queries.
Reflecting on the preceding three-year plan, Suncorp has achieved notable progress in modernising its tech infrastructure. A significant milestone is the transition of 90% of its tech workloads to the public cloud, a critical aim from earlier objectives. Additionally, Suncorp has successfully completed a five-year initiative to unify its legacy data warehouse systems into a cohesive, cloud-based framework.
The company has also accomplished an organization-wide transformation of end-user technology. This included retiring on-premises virtual desktops and implementing next-gen laptop solutions backed by advanced cybersecurity measures. As part of this transformation, Suncorp has deployed a considerable number of Microsoft Surface devices, thereby further empowering its workforce.
Suncorp’s new three-year technology strategy signifies a decisive move toward becoming a fully digital insurer. By prioritising platform modernisation and AI-driven operational changes, the company seeks to streamline its processes, enhance customer experiences, and foster innovation. Following the sale of its banking division to ANZ, Suncorp is poised to concentrate entirely on its general insurance operations. Planned enhancements to its policy administration system and the rollout of generative AI use cases indicate a future where technology will play a vital role in Suncorp’s achievements.
The strategy chiefly concentrates on platform modernisation and AI-empowered operational transformation. This involves upgrading the policy administration system (PAS) and deploying new AI use cases across multiple areas such as claims handling, pricing, and customer service.
Selling off its banking operations to ANZ streamlines Suncorp’s portfolio, enabling the firm to focus on general insurance. The technological advancements that enabled the separation of banking and insurance services also set the groundwork for future innovations.
The PAS enhancement is a vital element of Suncorp’s platform modernisation efforts. It represents more than just a tech update; it aims to fundamentally transform the company to reduce complexity, enhance speed to market, and deliver innovative customer offerings.
Suncorp has developed over 100 AI use cases and is focused on deploying the most effective ones. These AI applications will encompass various functionalities, including claims processing, risk assessment, customer service, and fraud detection, with a cautious approach to ensure efficiency and mitigate risks.
This article is optimised for SEO best practices, with appropriate headings, alt text for images, and a concise summary. The “Quick Overview” segment gives a brief synopsis for readers seeking key information swiftly. The “Q&A” section addresses inquiries that readers might have, enhancing engagement and the article’s utility.
