While smart cities have been depicted in TV shows and movies for years, showing futuristic worlds where cars can fly or where drones buzzing overhead is the norm, the truth is a version of this reality is closer than you think. Many companies investing in smart city technologies are too focused on the consumer side of IoT (the "flashy side") and are hindered by outdated, inefficient backend infrastructure forcing them to rethink their strategy. Knowing that things will go wrong in the early years of smart cities and IoT technology adoption, it will take a select few to be the first movers, take the risk, and carve the path for others. Despite what many might believe, we'll likely see rural areas – not major cities – adopt smart technologies such as delivery drones and autonomous vehicles first.
Or in a conference room, instead of the struggle to figure out which remote control puts on the projector and the screen, a simple voice request "System: turn on projector, turn on TV and dim lights." We will continue to see continued innovation in voice recognition systems and improvements that will enable voice system security to be viable in an enterprise environment and ensure that only authorised users with the right privileges can perform the associated actions. Some of the major voice communication vendors are now entering this market, providing CPaaS infrastructures with a standardised set of APIs to enable companies to integrate communications into their business processes. IoT Now magazine covers worldwide developments in the Internet of Things (IoT), machine-to-machine communications, connected consumer devices, smart buildings and services.
The circular economy concept requires that any resource is optimized in terms of renewability (energy used), reusability (cycling valuable metals, alloys and polymers beyond the shelf life of individual resources) and recyclability (compostable packaging). Within the energy sector, the circular economy would be powered by an "Internet of Energy" shaped by the imperative of decarbonisation (supported by transitioning sectors that today rely heavily on fossil fuels, such as heat and transport, to electricity-based power). The Internet of Energy would feature distributed generation with a high share of renewable energy, empowered by storage in all forms (grid, behind-the-meter and electric vehicles), demand response supported by smart grid assets down to "white goods"--and a fully transparent cost and value structure that takes into account levelized cost of energy (LCoE), cost of externalities, time and location of generation, value of ancillary services and storage, opportunity cost, etc. A suitable setup for an Internet of Energy could be a centralized electricity system with large-scale renewables, storage and flexible backup power interconnected to a decentralized electricity system with distributed generation, combined heat and power, electric vehicles, smart white goods, etc.
The thought of AI with an intelligence at human level on our not too distant horizon being subject to similar vulnerabilities combined with our inability to protect current systems does nothing to give confidence when the world leading expert Professor Bostrom says "that it would be like securing any other computer system," something we are currently failing at. We have to hope that the developers of AI look to its security with the same enthusiasm they have with developing its "intelligence" and let's hope the cybercriminals don't get there first.
This digital computer, adapted for the control of manufacturing processes for General Motors, provided a means to generate and transmit digital information, so that hardware devices could digitally communicate with other interfaces and no longer had to work in isolation. Traditionally this had always required some kind of central computer to hold a rule set and act as a command and control server. In the oil and gas industry IoT sensors have transformed efficiencies around the complex process of natural resource extraction by monitoring the health and efficiency of hard to access equipment installations in remote areas with limited connectivity. By embracing near edge processing technology instead of the cloud, the resource industry can now process a significant amount of the data that is generated from the sensors they use in low power, small computers close to the physical location of the sensors themselves.
IoT devices are anticipated to surpass mobile phones as the largest category of connected devices as early as 2018; in 2022 those connections are foreseen to reach 18 billion. To meet the challenges of the ascending plethora of IoT sensors, the Network Services for Massive IoT is built upon partnership. The team will enable a smooth introduction of the Massive IoT software, by integrating it in your existing network. As the technology is introduced and the software is deployed on your network, we extend our portfolio offering to support your Massive IoT networks with a zero-defect-network-vision.
The introduction of voice-activated smart home solutions – like Amazon Echo and Dot, Google Home, and Apple's HomePod – have brought with them the dream of convenient Star Trek-like interfaces where a user's spoken wish is their command. The dangers this presents are compounded when the devices feature the ability to make purchases (with few safeguards under default settings), as well as control smart home features (lights, thermostats, locks, etc.) The companies behind these devices are tasked with performing something of a balancing act: customers want full featured devices with the convenience of easy purchasing and control over their homes by voice, but those features can be at odds with the cumbersome security measures that would ensure greater safety. With both Amazon Alexa products and Google Home, it's possible to mute the devices so that they won't listen for instructions until re-enabled.
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In this way, more devices are capable of connecting, leading to the Internet of Things. Watson, IBM's major computer system, is being developed with the Internet of Things in mind. Using OpenRemote Designer, for example, one lighting services company had management control over the lighting on different ski-slopes it was overseeing. Developing an entire IoT suite, Bosch has allowed for security and ease of access, specifically for the home.
But while the company has lost some of its branding, its gained something else: support for Apple's HomeKit system without requiring an external hub. Add an Apple TV and you can add schedules and control the bulb when you're not at home. Making these settings through the Home app isn't quite as intuitive as it is on some competing standalone control apps--there's a lot of extra tapping required--but if you only have basic lighting needs, this isn't a big deal. If you want more power, you can use Sylvania's separate lighting control app--Sylvania Smart Home--to control your lights, or at least you will eventually be able to once its released.