IoT Security: Elimination vs Reduction

| June 30, 2019

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Thinking of completely eliminating the security risks? Then you should choose your password that has all 26 alphabets and all numerals and at least 5 special characters. Sounds Crazy.Well, this way you can definitely eliminate the risk of your password getting hacked from brute force attacks. But is it really worth taking that pain.

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BusyMachines is an innovative software development company building complete software products for the new digital economy. We position ourselves as a long-term partner for our clients and work with startups and mature companies. We have offices in the Netherlands & Romania.

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IoT: Quench the thirst for smart water management

Article | April 7, 2020

Water is one of our most precious resources. Yet every year, we lose more than 126 million cubic meters globally to leaks, poor metering and theft. Beyond that is the energy wasted moving water that never gets used. It adds up to staggering economic – and environmental – costs. It also presents one of the most compelling opportunities to use industrial IoT solutions. Water utilities can use IoT to address two fundamental aspects of water management: maintaining the physical infrastructure and addressing water safety and sustainability. With IoT sensors throughout a water utility’s infrastructure, it becomes possible to. In many ways, these uses mirror what’s possible in manufacturing. But while factory floors are condensed environments – with all assets located in a confined area – water utilities operate highly distributed environments. Reservoirs, pipes, pumps and other assets are spread across a massive physical footprint. Such environments introduce some unique challenges. One of the most pressing is cost. Capturing data across a massive infrastructure – and moving it to the enterprise and/or cloud – is a heavy lift. That’s especially true when considering the criticality of timely transmission and analysis of water data. Any delay can contribute to continued losses.

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Practical AI – A Serious Issue for Industrial IoT

Article | April 7, 2020

While the Industrial Internet of Things (IIoT) is maturing rapidly, there’s often a strong link to Artificial intelligence (AI) and Machine Learning (ML) tools to manage data flows. This raises a host of challenges including connectivity, security, storage and modeling requirements. Designers of IIoT devices and larger deployments must build in contingencies for shifts in these areas or risk falling short. While IIoT is gaining in maturity, the overall market still has many challenges to overcome. Some of these challenges are technical barriers to IoT device operation, such as connectivity standards and battery technology, but the picture is even wider than that. The world of IIoT not only requires IoT hardware to operate reliably and efficiently in all environments but also relies on supporting networks and services too. The result is that IIoT deployments cannot be viewed as isolated technology upgrades or productivity drives, but highly interconnected ecosystems sensitive to a wide range of variables – in particular the developing world of AI.

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Cloud vendors jostling for share of IoT analytics

Article | April 7, 2020

ABI Research says cloud vendors are investing in the data and analytics services space as they attempt to get on board the IoT value chain. The researcher forecasts that cloud suppliers will grow their share of IoT data and analytics management revenues from US$6 billion in 2019 to US$56 billion in 2026. Cloud vendor’s revenues come primarily from streaming, storage, and the orchestration of data. Analytics services across cloud vendors, on the other hand, are less differentiated, as reflected in pre-built templates such as AWS Sagemaker and Microsoft Azure Notebooks which leverage the open source Jupyter project. Considering that many cloud vendors are in the early stages of analytics investment, cloud vendors are relying on their partners for addressing more specific advanced analytics and vertical market needs.

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Hitachi, Infineon promote IoT tech for viral detection

Article | April 7, 2020

Tech companies are stepping up Internet of Things technologies to protect against COVID-19 and future viruses by using LiDAR and infrared cameras to detect a person’s body temperature from a distance or even handwashing. Keeping the data secure in such detection is also going to be a challenge. One approach is to put a chip inside an IoT device when it is manufactured to enable strong authentication and secure communication, mainly to guard against device counterfeiting. Hitachi Vantara has touted forward looking infrared cameras (FLIR) cameras to detect the temperature of a person from a distance. That way a passenger on a train or a worker or a customer in a store can be non-intrusively screened, according to a blog from Mark Jules, global vice president of smart spaces and video intelligence.

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BusyMachines

BusyMachines is an innovative software development company building complete software products for the new digital economy. We position ourselves as a long-term partner for our clients and work with startups and mature companies. We have offices in the Netherlands & Romania.

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