Techbest – Top Tech Reviews In Australia
The best in Australian gadgets and technology
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Tesla has once more captured attention in the self-driving arena by showcasing its Full Self-Driving (FSD) Supervised system as it handles intricate urban environments in both Melbourne, Australia, and Paris, France. The most notable feat involved Tesla’s FSD autonomously navigating the hectic 12-lane roundabout at the Arc de Triomphe — a location notorious for its absent lane markings and erratic vehicle movements.
Unlike competitors such as Waymo and Zoox that utilize a blend of cameras, lidar, radar, and high-definition maps, Tesla has opted for a daring method by deploying only camera-based vision and neural network computation. This streamlined hardware approach, although technically demanding, greatly diminishes production and vehicle integration costs.
A key advantage for Tesla is its capacity for rapid scalability in international markets. The FSD system does not depend on intricate pre-mapped locales, which can be expensive and labor-intensive to develop. Instead, Tesla leverages its extensive fleet of vehicles to gather real-world driving data, continuously training its AI models to seamlessly adjust to various road conditions, signage, and traffic behaviors.
This strategy permits Tesla to implement its autonomous technology far more swiftly than its competitors. For example, Waymo’s robotaxi service in Phoenix, Arizona, has been operational for several years yet remains confined to a limited number of cities due to its reliance on exhaustive mapping and localization updates.
With the inclusion of Australia and France, Tesla’s FSD (Supervised) is now functioning in:
This growth is vital not only geographically but also concerning regulatory intricacies. Each country has distinct traffic regulations, signage norms, and road configurations. Tesla’s neural net-focused methodology seems competent in adjusting with minimal revisions, rather than necessitating a complete overhaul for each market.
The successful implementation of FSD in Australia signifies Tesla’s initial venture into right-hand drive (RHD) autonomous functionality. This opens avenues to prominent RHD markets, including:
Each of these regions holds the potential to reap benefits from Tesla’s cost-effective hardware framework and rapidly developing software capabilities. The ability to deploy at scale without retrofit expenses provides Tesla a financial advantage in these markets.
In 2021, Tesla garnered attention by eliminating radar from its vehicles, fully embracing a “vision-only” approach. At that moment, skeptics doubted whether camera-based systems could rival the dependability of lidar or radar in adverse weather or low visibility conditions. Nonetheless, Tesla’s advancements indicate that with sufficient data and machine learning capabilities, visual perception by itself can tackle even the most daunting driving challenges.
As per Tesla CEO Elon Musk, the firm aims to achieve unsupervised autonomy — where vehicles can operate independently of human oversight. Although FSD (Supervised) still necessitates driver vigilance, the latest demonstrations suggest that a launch of unsupervised FSD may be on the horizon.
Despite its technological might, Tesla encounters a major regulatory hurdle. Unlike software development, the automotive industry is heavily intertwined with public safety priorities and legal accountability. For Tesla to initiate a commercial robotaxi service, it must comply with both national and regional regulatory structures — a task that can be slow and laden with political challenges.
Waymo presently leads in the commercial robotaxi sector with over 250,000 paid trips per week in the U.S., but Tesla is rapidly closing the gap. Once Tesla secures authorization for unsupervised operation, it could expand significantly faster due to its streamlined hardware and established global vehicle fleet.
Tesla’s recent FSD (Supervised) displays in Melbourne and Paris signify a significant advancement in vision-only autonomous driving. Successfully navigating a 12-lane roundabout without the use of radar or lidar, Tesla demonstrates its capability to manage real-world complexities through a more efficient and scalable system. With operations now active in seven nations — including its first foray into a right-hand drive market — Tesla is poised for further global expansion. Although regulatory challenges persist, the technological advancements and cost benefits of Tesla’s method may soon provide it a competitive edge in the pursuit of full autonomy.
FSD (Supervised) is Tesla’s current advanced driver-assistance technology that relies solely on cameras and neural networks for road navigation. While the system can autonomously make driving decisions, a human operator is still required to stay engaged and oversee the vehicle.
Unlike Waymo and others that incorporate lidar, radar, and detailed 3D mapping, Tesla’s system is based exclusively on camera vision and machine learning. This reduces hardware expenses and facilitates quicker deployment in new regions without the necessity of pre-mapping every road.
The Arc de Triomphe roundabout in Paris represents one of the most tumultuous intersections globally, marked by a lack of defined lanes and heavy traffic. Tesla’s FSD system successfully traversing this area illustrates its capability to tackle complex real-world driving situations using camera vision solely.
Yes, Tesla has now shown that its FSD (Supervised) system is functional in Australia, representing the first instance of its operation in a right-hand drive market.
India, the UK, Japan, New Zealand, and Hong Kong are all strong candidates for future FSD implementation, given that Tesla has validated its system’s effectiveness in RHD traffic situations.
While no specific date has been disclosed, Tesla suggests that unsupervised FSD is under development. The current performance of FSD (Supervised) indicates that it may be drawing closer to reality, subject to regulatory approval.
The most significant challenges are regulatory in nature. Governments must authorize self-driving technologies for public implementation, ensuring compliance with safety standards. Legal and
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With the rapid increase in AI integration across sectors, organisations are becoming more reliant on systems governed by data. Nonetheless, initiatives can struggle without robust data management practices in place. According to Forrester, companies in the Asia Pacific with strong information management strategies are 1.5 times more inclined to succeed in AI endeavors.
This aspect is especially significant in Australia and New Zealand, where regulators are intensifying their scrutiny of data privacy infringements. The Office of the Australian Information Commissioner (OAIC) alongside the Australian Cyber Security Centre (ACSC) revealed 527 data breaches in only the first six months of 2024, marking the highest figure in over three years. Malicious attacks comprised 67% of these occurrences, illustrating that cybercriminals are capitalizing on trends in digital transformation.
In light of these updates, organisations in ANZ are reassessing their data strategies to assure compliance with regulations and lessen vulnerability to cyber threats.
AI technologies depend on data, yet risks significantly increase when that data contains personal, medical, or proprietary information. The 2024 data breach at MediSecure, affecting nearly 50% of Australia’s populace, emphasizes the severe repercussions that inadequate data security can lead to, particularly within sectors like healthcare where continuity of service is crucial.
To alleviate these dangers, organisations should implement Data Security Posture Management (DSPM) to:
The emergence of AI has given rise to new security roles dedicated to AI-specific risks. These specialists assess vulnerabilities in AI frameworks, establish customized security measures, and coordinate responses to incidents.
Organisations are also fostering an environment of ongoing discussions about security, where risk tolerance levels are established, resources are reallocated as necessary, and compliance efforts are consistently evaluated. This thoughtful strategy guarantees that AI adoption corresponds with both business and security objectives.
Traditional methods of data protection are unable to keep pace with the scale and intricacy of contemporary data. Automation has shifted from being optional to essential.
According to reports from Cybersecurity Ventures, there has been a 35% increase in the adoption of sophisticated threat detection tools, while Gartner projects that by 2025, 70% of enterprises will have integrated AI-driven threat intelligence systems.
Key automated capabilities encompass:
These technologies enable security teams to focus on strategic initiatives, enhancing efficiency while boosting resilience against threats.
AI systems depend on superior data quality to generate precise insights. Poor data quality can not only detract from results but also elevate security risks. Gartner estimates that subpar data may cost companies about A$21 million yearly.
To maintain both data quality and security, organisations should:
When implemented alongside AI systems, these governance strategies minimize potential attack vectors and assure adherence to developing regulations.
As AI becomes increasingly ingrained within business functions, the associated data security risks are bound to escalate. A comprehensive strategy—addressing data governance, risk management, and automation—is pivotal for achieving success.
Entities that invest in proactive data security measures not only adhere to compliance standards but also secure a competitive advantage in responsibly and effectively implementing AI.
Learn how recommended solutions such as AvePoint’s AI Security and Confidence platform can aid your organisation in protecting sensitive data while unlocking the full potential of AI.
For additional information, visit AvePoint’s AI Security and Confidence Solutions.
The safeguarding of data in the age of artificial intelligence is a pressing issue for organisations in Australia and New Zealand. With stricter privacy regulations and increasingly sophisticated cyber threats, businesses are compelled to adopt a proactive and strategic framework to protect their information resources. This includes establishing DSPM, automating threat identification, and enhancing data governance. Such initiatives ensure that organisations remain compliant, resilient, and prepared to safely leverage AI technology.
AI systems necessitate large volumes of data, much of which is sensitive. This makes them prime targets for cybercriminals. Furthermore, attackers can leverage AI tools to identify and exploit vulnerabilities at a pace that outstrips traditional techniques.
DSPM represents a proactive methodology for protecting and managing sensitive data. It entails locating where data is held, classifying its sensitivity, implementing security protocols, supervising access, and automating responses to threats.
Both
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SAMSUNG Galaxy Buds 3 AI True Wireless Bluetooth Earbuds, Sound Optimization, Real Time Interpreter, Noise Cancellation, Redesigned Fit, Touch Control, Latin American Version (Silver)
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As artificial intelligence (AI) becomes integral to business innovation in Australia and New Zealand (ANZ), ensuring data security is imperative—not optional. Forrester reports that 60% of Asia Pacific firms are localizing AI models to align with local demands, thereby heightening the sensitivity and intricacy of data management.
Firms with sophisticated information management systems are 1.5 times more likely to secure early successes with AI. Effective data management encompasses not only the storage and retrieval of information but also compliance with laws such as Australia’s Privacy Act 1988 and APRA regulations. Recent data from the Office of the Australian Information Commissioner (OAIC) and the Australian Cyber Security Centre (ACSC) indicated 527 breaches in merely six months, with 67% caused by malicious or criminal entities.
AI technologies rely heavily on data—but they can also pose risks. The 2024 MediSecure breach, which impacted nearly half of Australia’s populace, underscored the tangible impacts of inadequate data safeguarding in an AI-driven environment. Healthcare providers are especially exposed due to the essential nature of their services and the sensitive data involved.
Organizations must adapt their strategies to incorporate Data Security Posture Management (DSPM), which enables them to:
The AI surge has generated a new category of security professionals focusing on AI-specific vulnerabilities and data exposure threats. These roles are essential for maintaining a robust security stance in the face of changing risks. Security leaders should consistently monitor, evaluate, and refine their organization’s security framework by:
The immense volume of data generated in AI environments renders manual security measures outdated. Automation has become essential. Cybersecurity Ventures reports a 35% rise in the application of advanced threat detection tools, and Gartner predicts that by 2025, 70% of organizations will implement AI-driven threat intelligence systems.
Automation empowers organizations to:
AI systems function optimally only when powered by reliable data. Poor data quality introduces errors and heightens security risks. Gartner estimates that poor data costs organizations approximately AU$21 million annually, with 30% attributed to security-related expenses.
To alleviate these risks, organizations should:
In an era where AI revolutionizes business operations, data security must advance accordingly. The synergy of proactive information management, automated security measures, and compliance with legal standards establishes a robust foundation for secure AI adoption.
For ANZ organizations, the way forward involves strategic investment, continuous education, and cross-department collaboration to guarantee that innovation does not compromise security.
Discover how AvePoint’s AI Security and Confidence solutions can aid your organization in implementing thorough data protection strategies that foster AI-driven progress. Visit AvePoint’s AI Security and Confidence Solutions.
AI offers exceptional prospects for ANZ firms but also brings substantial risks, particularly regarding data security. New legal frameworks, escalating cyber threats, and vast data volumes necessitate a modern strategy for data lifecycle management. By utilizing DSPM, automation, and governance, organizations can ensure that their AI projects are secure, compliant, and effective.
Implementing AI is challenging due to obstacles related to data readiness, information security, and compliance with changing privacy regulations. Most organizations lack the necessary infrastructure and governance to securely manage AI-compatible data.
Data Security Posture Management (DSPM) supplies real-time visibility regarding sensitive data’s location, accessibility, and usage. It enables organizations to proactively address potential risks before they escalate into breaches.
Significant revisions include increased penalties for breaches, broader definitions of personal data, stricter consent provisions, and compulsory, expedited breach notifications. Additionally, it introduces a ‘privacy by design’ criterion for all systems.
Automation allows for quicker threat detection, minimizes human error, and enables security teams to concentrate on strategic tasks. Systems can continuously monitor data access trends and address threats in real-time.
Outdated or inaccurate data can result in flawed AI outcomes.
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Edifier X2s True Wireless Earbuds, Bluetooth 5.3, 13mm Dynamic Drivers, Deep Bass, Lightweight, AI Environmental Noise Cancelling, Custom Sound, IP54 Water Dust Resistant, Black
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The HUAWEI WATCH FIT 4 Pro stands as the premier model of the series, designed for Australians who expect top-notch performance from their devices. Its refined titanium alloy bezel, aluminum body, and sapphire glass display make this smartwatch resilient enough for challenging environments, whether trekking in the Blue Mountains or diving off Queensland’s shores.
A key attribute is the impressive 10-day battery life, allowing you to remain unplugged and active for extended periods. It supports both iOS and Android systems, ensuring smooth integration into your digital ecosystem.
The 1.82-inch AMOLED display achieves a remarkable brightness of 3,000 nits—ideal for visibility under the intense Australian sun, whether you’re relaxing on the beach or biking through the countryside.
At only 27 grams, the base model WATCH FIT 4 delivers an enhanced fitness experience. With its sleek design and affordable price, it’s a great choice for those new to wearables or individuals looking for an elegant fitness tracker.
The device provides instant access to a variety of guided workouts, making it a practical companion whether you’re at the gym, exercising at a park, or working out at home.
Perfect for water activity enthusiasts, the WATCH FIT 4 tracks seven water sports, including surfing, kayaking, paddleboarding, and rowing—a fantastic choice for coastal residents or holiday visitors.
With updated barometric tracking, users can monitor elevation fluctuations in real time—ideal for bushwalking, mountainous treks, and climbers exploring Australia’s diverse landscapes.
Both models come equipped with Huawei’s advanced TruSense System, delivering a comprehensive range of health monitoring features. From heart rate to SpO2 levels, users receive precise, real-time insights on their health.
The Pro model provides health insights right on your wrist, enabling you to track trends and receive guidance without needing to check your phone.
The updated Menstrual Cycle Management feature offers predictive tracking, symptom management, and hormonal pattern analysis. It’s an essential tool for female users looking to gain deeper insights into their health information.
The HUAWEI WATCH FIT 4 Pro comes in Black and Blue with a fluoroelastomer strap, or Green with a quick-dry woven nylon strap. The WATCH FIT 4 is available in Black, Purple, and White (with a fluoroelastomer strap), and Grey (with a woven strap).
Prices in Australia start from A$299. Pre-orders open on May 16, 2025, with bonus gift cards worth up to A$100. The smartwatches will be available in-store and online starting May 28, 2025, at Amazon and JB Hi-Fi.
Huawei’s WATCH FIT 4 Series represents a significant advancement in smartwatch technology, combining premium aesthetics with cutting-edge tracking capabilities, all at a reasonable price point. Whether you’re a serious adventurer or a fitness casual, there’s an option within this range for everyone. With sturdy build quality, extended battery life, and comprehensive wellness features, these wearables are ideal for Australia’s varied lifestyles.
The WATCH FIT 4 Pro offers an improved 1.82-inch AMOLED screen with 3,000 nits brightness, a more durable titanium alloy construction, and enhanced sports functionalities such as superior GPS tracking and diving statistics. Additionally, it introduces on-wrist health insights for the first time.
Yes, both the Pro and standard versions are compatible with Android and iOS devices, providing extensive accessibility for users across different platforms.
Yes, indeed. The Pro model allows for free diving up to 40 metres and features real-time safety notifications and training functionalities like static apnea drills, making it perfect for recreational divers.
Both versions include continuous heart rate monitoring, SpO2 tracking, sleep analysis, and an enhanced menstrual cycle tracking feature. The Pro model also provides health insights directly on the watch display.
The WATCH FIT 4 Pro can last up to 10 days on a single charge, while the standard WATCH FIT 4 also offers several days of usability, depending on how it’s used.
Yes, pre-orders opening on May 16, 2025, come with bonus gift cards up to A$100, based on the model and retailer.
The watches will be on sale starting May 28, 2025, at Amazon Australia and JB Hi-Fi, both in physical stores and online.
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The South Australian electricity transmission operator, ElectraNet, has embarked on a significant journey to innovate its information management systems. The company is implementing an all-encompassing OpenText-based enterprise content management (ECM) solution to create a “single source of truth” across its operations. This transition represents a major shift from its previously disjointed data environment, where vital information was scattered across SharePoint, local servers, and personal OneDrives.
Upon joining ElectraNet, information management leader Sharon Schumacher observed that there were inadequate frameworks for handling decades of accumulated data. Acknowledging the risks and inefficiencies tied to isolated information, Schumacher led the initiative for reconfiguration and the enterprise-wide rollout of OpenText Extended ECM.
“We’ve accumulated decades of information that required management and centralisation to form a single source of truth,” Schumacher stated. This strategic direction guarantees that data, documents, and informational assets are effectively managed across different business units.
To promote widespread acceptance, ElectraNet has customised OpenText to provide a more efficient user experience. Users benefit from the enterprise connect desktop application and robust integration with Microsoft 365, facilitating real-time co-authoring and collaborative workflows.
This integration not only boosts productivity but also ensures that content accessed from any location—whether in-office, remote, or field—is up-to-date and coherent.
Since May of the previous year, various departments within ElectraNet have been charged with cleaning and migrating their respective data. With nearly 800,000 information items already moved to OpenText, the company anticipates it will take another 6 to 12 months to complete the migration project.
A significant advantage of the new system is its compliance with the Security of Critical Infrastructure (SOCI) Act. As an operator of critical energy infrastructure, ElectraNet must adhere to stringent requirements regarding data access, security, and integrity. The new ECM platform offers the necessary governance and audit trails to satisfy these demands.
Looking forward, ElectraNet is gearing up to launch OpenText Mobile, which will enable field staff to approve workflows and access the most current documents while on the go. This developments are expected to further enhance efficiency and ensure that remote teams remain linked to the central information repository.
The company also aims to upgrade to OpenText version 24.4 and is exploring integrations with other enterprise systems like SAP and SuccessFactors. Additionally, ElectraNet is considering OpenText Aviator—its AI-driven platform—to bolster data intelligence and governance.
“The advantages that AI will bring to our OpenText system are immense,” Schumacher pointed out, noting the transformative potential AI has for data classification, compliance, and searchability within the company.
ElectraNet’s dedication to digital transformation is establishing a new standard for information management within Australia’s critical infrastructure sector. By consolidating its data into a unified OpenText-based platform, the company is enhancing its operational efficiency while ensuring adherence to national security standards. With forthcoming upgrades—including mobile accessibility, cross-system integrations, and AI features—ElectraNet is well-positioned to excel in data governance and digital resilience.
The company encountered disjointed data storage across numerous platforms, such as personal OneDrives and SharePoint. This chaos threatened efficiency and compliance. The overhaul aims to centralise information and create a single source of truth.
OpenText offers strong data governance features, audit trails, and controlled access, assisting ElectraNet in fulfilling the stringent legal requirements of the SOCI Act, which regulates the safeguarding of Australia’s critical infrastructure.
The integration facilitates real-time co-authoring and collaboration, optimising document workflows and ensuring data uniformity across departments. It also boosts user engagement by offering familiar interfaces and effortless accessibility.
ElectraNet has successfully migrated nearly 800,000 information items into the OpenText platform, with additional migrations ongoing as part of its broader digital transformation strategy.
OpenText Aviator is the company’s AI platform designed to introduce intelligence and automation into content management. For ElectraNet, it provides advanced functionalities in data classification, search, and governance, further improving efficiency and compliance.
OpenText Mobile is expected to be rolled out soon, enabling field staff to approve workflows and access up-to-date documents from their mobile devices, ensuring they work with the latest data while on the move.
Extended ECM (Enterprise Content Management) is the fundamental OpenText platform utilized by ElectraNet. It connects content with business processes, facilitating structured document management and ensuring integration with enterprise systems like SAP and Microsoft 365.
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Yukigefe Bluetooth Headset V5.3, Wireless Earbuds with 1000mAh Charging Case, 96 Hours Talk Time, Hands-Free Noise Cancelling Headphones and Dual Microphone for Computers, Mobile Phones
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SanDisk has officially rolled out its newest flagship internal SSD, the WD_BLACK SN8100 NVMe, to the Australian audience. Engineered for the most exigent users, this advanced storage solution utilizes the PCIe Gen 5.0 interface, providing exceptional performance and efficiency. With sequential read speeds soaring to up to 14,900MB/s and write speeds of 14,000MB/s, the SN8100 establishes a new standard for consumer-grade solid-state drives.
This launch represents a remarkable advancement in solid-state storage, doubling the performance capacity of earlier PCIe Gen 4.0 drives and serving as a perfect answer for those assembling high-performance gaming systems or professional workstations.
With its incredibly fast speeds and substantial capacities of up to 8TB, the WD_BLACK SN8100 is specifically designed for users who seek the ultimate performance. Whether you’re a dedicated PC gamer aiming for every frame and millisecond, a video editor handling 4K or 8K material, or an AI analyst juggling vast datasets and machine learning applications, this SSD is crafted to excel.
The SN8100’s random read/write capabilities exceed 2,300,000 IOPS in the 2TB and 4TB models, guaranteeing effortless multitasking and responsiveness even during the most demanding tasks.
A standout characteristic of the WD_BLACK SN8100 is its notable energy efficiency. SanDisk claims this drive offers over 100% greater power efficiency than its Gen 4.0 predecessor, operating on less than 7 watts of average power. This results in cooler operation, increased system lifespan, and reduced electricity costs — all while maintaining top-notch performance.
Durability is paramount for any high-performance SSD, and the SN8100 delivers. The 4TB model boasts an endurance rating of up to 2,400 Terabytes Written (TBW), ensuring it withstands years of rigorous use. Whether you’re loading massive AAA games, rendering high-definition videos, or training AI systems, this drive is designed for longevity.
For those wanting to enhance their systems, SanDisk will introduce a version of the SN8100 featuring an integrated low-profile heatsink in October 2025. Constructed from anodised aluminium, it aids in sustaining peak performance during prolonged workloads. Additionally, it incorporates RGB lighting customizable to fit your setup’s design.
The SN8100 is the outcome of close cooperation with industry leaders such as AMD and Intel. According to AMD’s Joe Macri, PCIe Gen 5.0 offers twice the performance capabilities of Gen 4.0, making it a groundbreaking technology for both professionals and gamers. Intel’s Todd Lewellen supported this view, pointing out how the SSD complements new-generation Intel Core Ultra processors to enhance gaming and productivity tasks.
The WD_BLACK SN8100 NVMe SSD will be ready for purchase in Australia starting June 2025 via local retailers and online platforms. The pricing details are as follows:
The heatsink model is projected to be released in October 2025. For additional information, visit the official SanDisk Australia store.
The WD_BLACK SN8100 NVMe SSD represents a new milestone in high-performance storage, providing unmatched speed, efficiency, and reliability for users in Australia. With PCIe Gen 5.0 at its core, it doubles the performance of Gen 4.0 SSDs while drastically reducing power consumption. Whether you’re constructing a next-gen gaming computer or a workstation designed for demanding content creation or AI tasks, the SN8100 stands out as a remarkable option backed by leading technological collaborations and innovative engineering.
The SN8100 takes advantage of PCIe Gen 5.0 to deliver speeds up to twice that of PCIe Gen 4.0 SSDs, with read speeds reaching 14,900MB/s. It also features enhanced power efficiency and durability, making it suitable for power users.
This SSD is ideal for gamers, content creators, and professionals working with large data sets or AI applications. Its high speed and capacity guarantee smooth performance during substantial workloads.
The drive launches with 1TB, 2TB, and 4TB models, with an 8TB variant expected later. Each variant provides top-of-the-line performance and endurance metrics.
The optional heatsink enhances thermal management, aiding in maintaining top performance during extended usage. It also includes RGB lighting for visual customization.
The standard SN8100 SSD is set for release in June 2025, while the heatsink model is anticipated in October 2025 across Australia.
To fully harness PCIe Gen 5.0 speeds, your motherboard and CPU must support the standard. While it is backward-compatible with Gen 4.0, performance will be limited.
