Millions of people around the world are infected with mosquito-borne diseases each year. One of the most dangerous species is Aedes aegypti, the main vector of viruses such as dengue, yellow fever, chikungunya, and Zika, among others. Mosquito prevention and eradication campaigns are essential to avoid major public health consequences. In this respect, entomological surveillance is an important tool. At present, this traditional monitoring tool is executed manually and requires digital transformation to help authorities make better decisions, improve their planning efforts, speed up execution, and better manage available resources. Therefore, new technological tools based on proven techniques need to be designed and developed. However, such tools should also be cost-effective, autonomous, reliable, and easy to implement, and should be enabled by connectivity and multi-platform software applications. This paper presents the design, development, and testing of an innovative system named MosquIoT. It is based on traditional ovitraps with embedded Internet of Things (IoT) and Tiny Machine Learning (TinyML) technologies, which enable the detection and quantification of Ae. aegypti eggs. This innovative and promising solution may help dynamically understand the behavior of Ae. aegypti populations in cities, shifting from the current reactive entomological monitoring model to a proactive and predictive digital one.

LEXI, the company behind the industry's most comprehensive IoT technologies that are transforming how both enterprises and consumers manage and automate their Smart Spaces, today announced the LEXI IoT Platform – a sizable step forward in easing the IoT experience for everyone connecting products, across apps, and across ecosystems. "Our white-label, edge-to-cloud LEXI IoT Platform, which we have spent six years developing, brings relief to today's often frustrating digital existence by providing not just smart, but intelligent connections to generate new revenue streams, attract new subscribers, and increase customer loyalty through a rewarding connected experience." LEXI's suite of software and hardware provides complete functionality for enterprise customers to deploy a comprehensive Smart Home offering or Commercial IoT project. Fully interoperable with leading IoT products/brands, the LEXI IoT Platform is being deployed across market segments including Smart Building, Smart City, Smart Home, Smart Agriculture, Environmental Monitoring, Industrial Control, Logistics and HVAC. What differentiates the LEXI IoT Platform from everything else on the market is it's far-reaching, future-ready design that supports all major wireless protocols including Wi-Fi, Bluetooth, Zigbee, Z-Wave, 900MHz, LoRaWAN and cellular – plus it's upgradable to Thread and Matter.

Nope, we're not talking about Einsteinian physics or tesseracts, those theoretical four-dimensional objects that rotate, mind-bending, along two planes at once. These Four Ds are imminently practical, and they're already shaping the information infrastructure around which we build our businesses and reshaping the future of business IoT. Each of the Four Ds--as conceived by Asteria CEO Pina Hirano--is a pillar of a successful digital ecosystem, which is itself the platform on which tomorrow's businesses will stand or fall. As you explore these ideas, think about how they could apply to your operation--or the new business you're considering building atop this cutting-edge of information technology. With all due respect to spacetime and advanced mathematics, then, here are the Four Ds of the future that every business operator needs to master.

Scalable Data management: With an increasing number of sensors and devices implemented as companies grow, the collected data and the complexity of IoT projects increase. An IoT platform that helps businesses meet their ever-changing needs is critical. Analytics: A powerful IoT platform should have analytics capabilities such as data visualization and machine learning. This helps support the analysis of aggregate data in the cloud to generate actionable insights. Device Management: IoT platforms enable users to track, monitor, and manage business-critical assets.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. The key to getting more value from industrial internet of things (IIoT) and IoT platforms is getting AI and machine learning (ML) workloads right. Despite the massive amount of IoT data captured, organizations are falling short of their enterprise performance management goals because AI and ML aren't scaling for the real-time challenges organizations face. If you solve the challenge of AI and ML workload scaling right from the start, IIoT and IoT platforms can deliver on the promise of improving operational performance. More organizations are pursuing edge AI-based initiatives to turn IoT's real-time production and process monitoring data into results faster.

The Internet of Things' killer app might be artificial intelligence. While it may be a stretch to classify artificial intelligence (AI) and its multifaceted offshoot machine learning as true applications, these techs can profoundly change IoT operations. AI makes IoT networks smarter and able to scale as needed without the risk of uncontrollable growth. IoT operations is an ongoing struggle to try to ensure that the thousands or more devices run properly and safely on an enterprise network and that the data that's being collected is both accurate and timely. While the sophisticated back-end analytics engines do the heavy lifting of processing the steady stream of data, ensuring the quality of the data itself is often left to somewhat archaic methodologies.

Technology is at the center of the changing world. As this understanding and acceptance has started picking up steam in recent years, even those professions that are manual in nature are making use of technology to drive better business results. One such organization, Vale, S.A., which is one of the largest producers of iron ore in the world, is adapting to the times and adopting technology on the way. In a conversation with Infosys' Ashiss Kumar Dash, Gustavo Vieira, Chief Information Officer, Vale, shared his thoughts on how the mining industry is transforming, and technology is playing an increasingly important role in it. "(It's in an interesting moment in) the mining industry now… where we want to use technology really to bring the value, and also reduce the risks of our operation," says Vieira.

It was at the 21st Conference of Parties (COP21), when history was made as nearly the entire world signed the landmark Paris Climate Agreement to counter climate change. Since that 2015 agreement, COP21 has been the most significant business-focused event driving sustainable development and advancing the "green economy." Renewable energy leader Kaiserwetter Energy Asset Management of Germany was driven by the COP21 agreement and has since revolutionized investment in zero-emission energy. They accomplished this by utilizing SAP technology to create an IoT Platform, capable of early failure detection within wind turbines, inter alia. Established in 2012, Kaiserwetter serves investors, financing banks, and governments within the renewable energy field – offering specialized data analytics as part of their investment process throughout the entire investment lifecycle.

As a result of the worldwide transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), coronavirus disease 2019 (COVID-19) has evolved into an unprecedented pandemic. Currently, with unavailable pharmaceutical treatments and vaccines, this novel coronavirus results in a great impact on public health, human society, and global economy, which is likely to last for many years. One of the lessons learned from the COVID-19 pandemic is that a long-term system with non-pharmaceutical interventions for preventing and controlling new infectious diseases is desirable to be implemented. Internet of things (IoT) platform is preferred to be utilized to achieve this goal, due to its ubiquitous sensing ability and seamless connectivity. IoT technology is changing our lives through smart healthcare, smart home, and smart city, which aims to build a more convenient and intelligent community. This paper presents how the IoT could be incorporated into the epidemic prevention and control system. Specifically, we demonstrate a potential fog-cloud combined IoT platform that can be used in the systematic and intelligent COVID-19 prevention and control, which involves five interventions including COVID-19 Symptom Diagnosis, Quarantine Monitoring, Contact Tracing & Social Distancing, COVID-19 Outbreak Forecasting, and SARS-CoV-2 Mutation Tracking. We investigate and review the state-of-the-art literatures of these five interventions to present the capabilities of IoT in countering against the current COVID-19 pandemic or future infectious disease epidemics.

Technology commentators are predicting that 2020 is going to see an acceleration of new tech entering the market including 5G wireless connectivity, blockchain technology (beyond cryptocurrency) and AI/ML. While each of these technologies has its own applications, what's more, interesting is how they can work together, especially with IoT already moving out of the hype cycle and entering a phase of rapid growth. Here is IoT in 2020 and how it's all coming together. How are the new technologies going to impact on the IoT? We may not have a crystal clear picture yet but we are in a position where we can start making some confident sketches.