Welcome to another edition of IoT.do’s Week in Review. As always, our company strives to provide you with the most up-to-date information 100% focused on the Internet of Things.
Before we dive in, I wanted to let you all know that I will be in Lisbon, Portugal on November 7-10 covering this year’s Web Summit. If you’re attending and would like to schedule an interview for your company, please feel free to get in touch with me ASAP. I attend as many sessions as I possibly can, so I’d like to plan the interviews in advance.
Let’s get you caught up on a couple of things from the past week:
- Though the smart buildings market continues to suffer from a fragmented ecosystem as proprietary building automation solutions dominate, ABI Research forecasts smart buildings global facility services revenue will grow from $625 million in 2015 to more than $8 billion in 2021. The bulk of the revenue will stem from North America andWestern Europe, as large buildings in these regions implement cloud-based smart building platforms or integrate existing building management systems to smart building platforms.
- Seeking to add a leading comprehensive suite of smart city solutions enabled by its ThingSpace internet of things (IoT) platform to help smart communities increase economic development, drive citizen engagement and enable sustainability, Verizon Communications Inc. announced it has signed an agreement to purchase Sensity Systems Inc. Sensity Systems capitalizes on conversions to LED lighting – a process that will affect 4 billion lights worldwide over the next few years – to create a high-speed, sensor-based, multiservice IoT platform.
- PTC announced that it is advancing world-wide IoT innovation, as customers and partners continue to select ThingWorx IoT technology to enhance their connected solutions and product portfolios. PTC’s ThingWorx technology continues to see consistent adoption across various markets that include manufacturing, energy, aerospace and defense, agriculture, and transportation. ThingWorx enables these companies to reduce the time and cost of building and deploying Internet of Things solutions in an increasingly competitive market.
- Government officials have favorable expectations for the benefits and value that smart cities solutions will deliver, according to a new research brief from CompTIA, the nonprofit association for the technology industry. CompTIA’s Building Smarter Cities finds that one-half of local, state and federal government personnel surveyed believe the Internet of Things – and by extension, smart cities – will definitely provide value. Another 39 percent say it will probably provide value.
- Dialog Semiconductor announced that its DA14580 SmartBond System-on-Chip (SoC) is at the heart of Tile’s newest consumer product, Tile Slim.
- Rare Labs announced the launch of the Kickstarter campaign for Solarable, an IoT monitor for solar and wind generators. The company is looking to prove the market potential of the Solarable monitor and raise $12,500 to produce the initial shipments in early 2017.
- RFID Journal announced that SML will host an RFID Pop-up Retail Store in New York City in conjunction with RFID Journal’s RFID in Retail and Apparel conference and exhibition, which will be held on Oct. 6 at the Helen Mills Theater. Brand owners and retailers attending the event will have the opportunity to visit the pop-up store on Oct. 5-6 to see in action the latest RFID tags and hardware, as well as the company’s Clarity software, currently deployed at more than 1,000 stores worldwide.
- NTT Communications Corporation and Mitsui Chemicals, Inc. announced that they have successfully created a technique that accurately and speedily predicts the quality of gas products. The technique is based on the modeling of the relationship between the different data sets sourced from raw materials feeding into the reactor and reactor conditions, and X gas concentrations which represent gas product quality. The data is analyzed using Deep Learning algorithms, an artificial intelligence (AI) methodology that automatically processes relevant factors in order to model and predict outcomes.
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