Why single-use-case IoT solutions are limiting
Early adopters in IoT rushed to market with clever but verticalised solutions with a single-use case. Now, as 100s of thousands of deployments saturate the market, the time to move to a more harmonious IoT ecosystem is today. Kiss the siloed data, lone connectivity and separate device management goodbye. Kaleido Intelligence and Daizy collaborate on this innovative white paper that gives us a glimpse at the future.
This paper covers a range of areas including:
Developing public infrastructure: Assessing the roadmap of public EV charging
In a report titled, ‘Electric Vehicle Charging: 192 million connections by 2030, generating USD4.8 billion in revenue’, Transforma Insights has unpicked the topic of Electric Vehicle (EV) charging infrastructure. New sales of pure Battery EVs (BEVs) reached 10 million worldwide in 2023, up from 7.7 million in 2022 and 4.8 million in 2021. Such increases in the number of EVs on the roads has clearly increased the demand for charging stations for EVs.
This article assesses the roadmap of public EV charging, describing different approaches and discussing the role of government initiatives. It also highlights the major communication technologies that will be used and the potential revenue streams that will be enabled by public EV charging stations, together with current market barriers.
SEALSQ lays down AIoT strategy for future of connected intelligence
SEALSQ has announced its entry into the AI chip market, underscored by its AIoT (Artificial Intelligence for Internet of Things) strategy, which seamlessly merges the power of AI with the expansive potential of IoT technologies. The move positions SEALSQ at the cutting edge of technological innovation, where the convergence of AI and IoT is set to drive digital transformation and reshape industries.
While IoT has been around for several years, recent technological advances, including better connectivity, cloud computing, machine learning, artificial intelligence, related analytics, and low-cost sensors, have significantly accelerated its adoption. However, with the surge in data volumes, challenges have arisen in absorbing, interpreting, and making informed decisions from this data. AI enables technical systems to perceive their environment, solve problems, and act to achieve specific goals. Essentially, AI allows machines to understand existing scenarios, address issues, and implement solutions autonomously.
The importance of connectivity in IoT
Connectivity is at the centre of ?the Internet of Things (IoT). It’s the driver and essential element of this change in modern technology.
IoT is the name given to the vast network of physical objects that interact in with the internet. These objects feature embedded sensors, software, network connectivity and actuators that allow them to exchange information between each other over the internet. In other words, the defining feature of the IoT is that these things talk to other things, making these physical objects smarter and more responsive than before.
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Underpinning this capacity for action in IoT is, of course, connectivity. IoT devices may connect via Wi-Fi, Bluetooth, cellular networks or one of a number of low power wide area network (LPWAN) protocols. The LPWAN tag encompasses everything from localised Wi-Fi and Bluetooth to variants of familiar 3G/4G/5G telecoms connections, as used by smartphones.
TELUS joins 280 AI stakeholders in U.S. AI safety initiative
TELUS has announced that it has joined more than 280 artificial intelligence (AI) stakeholders to participate in a U.S. Department of Commerce initiative to support the development and deployment of trustworthy and safe AI – the first Canadian telecom to do so. Established by the Department of Commerce’s National Institute of Standards and Technology (NIST) on?February 8, 2024, the U.S. AI Safety Institute Consortium (AISIC) brings together AI creators and users, academics, government and industry researchers, and civil society organisations to meet this mission.
“At TELUS, we are determined to harness the power of technology to create a better future. Our involvement in the U.S. AI Safety Institute Consortium underscores our commitment to responsible AI, ensuring that AI is developed and deployed in a trustworthy, ethical manner that is safe and benefits everyone,” said?Pam Snively, the chief data and trust officer at TELUS. “We look forward to collaborating with other industry leaders, academics and organisations to advance the standards and practices that will shape the future of AI responsibly.”
IoT Anywhere: Harnessing satellites for global IoT coverage
Satellites have been used for decades in applications such as navigation, weather forecasting, surveillance and TV broadcasting. But what about IoT?
In 2022 the number of satellite-IoT connections was estimated to be 5.23 million – less than 0.04% of the global number of IoT device connections worldwide. Seen as a costly alternative, satellite use is currently low.
However, with demand for remote IoT deployments growing rapidly and terrestrial networks covering less than 20% of the earth’s surface, satellite is fast becoming a necessity in global IoT solutions. This is encouraging the market to come up with more cost-effective options.
MICROIP’s AI platform integrated into WT Microelectronics’ IoT solutions
MICROIP has announced at the 2024 Taipei International Industrial Automation Exhibition that its “AI Software Platform Solution” has been adopted by WT Microelectronics. This solution will be used in the industry’s first AI x Remote I/O solution based on MediaTek’s Genio IoT platform MT8390/MT8370 industrial-grade wide temperature range processors. These processors, built on TSMC’s 6nm process, feature dual-core ARM Cortex-A78 and six/four-core ARM Cortex-A55 architectures, and are equipped with 4.0TOPs/3.2TOPs neural processing units (NPU), achieving an optimal balance between high performance and low power consumption. They are particularly suited for industrial automation products that require AI functionality, image and video processing, and high-performance computing.
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