IoT (Internet of Things): Latest News & Articles (Week 28/2017)

A curated list of the latest IoT News & Articles is here again!

Topics this week: challenges of UX in IoT, how IoT empowers AI, and flood forecasting with LoRaWAN sensors.

Let’s dive in!

UX in IoT

‣ What are the challenges in creating a good user experience in IoT?

Here’s an interesting article about the challenges in creating a good user experience in IoT. The article is written by Daniel Elizalde, who also writes a blog called “Training for IoT Product Managers” on his website. Naturally, the article shared here is also written from the product manager’s point of view.

Creating a good user experience in IoT is hard. There are more layers of technology, more users to please, and more teams to coordinate than ever before.

What makes this article particularly interesting are the real-world examples introduced: both consumer and industrial IoT products are covered.

Read the full article “Why It’s So Hard to Create a Good User Experience in IoT” at


AI & IoT

‣ IoT sensors give senses to AI

Scott Noteboom writes in his article about how the “virtual world” of AI and the “real world” in which we live can be connected.

In order to connect to our physical world, we need senses (sight, sound, smell, taste, and touch). This is also true for artificial intelligence (AI), and the senses can be enabled by IoT sensors. Here are some examples:

Camera sensors give AI “eyes” to see the world. Microphones give them a “good ear.” Accelerometers and gyroscopes give them a “good feel for things.” Particulate and chemical sensors give them “a good nose.”

Read the full article “IoT sensors empower the senses that bring AI to life” at



‣ Forecasting floods with IoT sensors utilizing LoRaWAN

A six-day IoT bootcamp was held at the Massachusetts Institute of Technology (MIT) recently. Rene Millman writes in his article about a group of students from Turkey who came up with an interesting idea: an early warning system for flash flooding.

Every year, flash floods cause injury and death in Turkey, along with significant damage to property and infrastructure. On the basis that preparation for those floods is key, the MIT bootcampers recognised that it’s important to figure out when and where they are most likely to occur.

The solution is based on sensors that detect water-level and utilize LoRaWAN network.

Read the full article “MIT bootcamp participants develop flood prevention system” at


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Anni works in UI development and marketing at Trackinno Oy. She studied at the Tampere University of Technology from where she also received her MSc (Tech) degree in 2016.

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