Smart Home, IoT, Data and Analytics – Reading List

Smart homes and the Internet of Things
A smart home is one in which the various electric and electronic appliances are wired up to a central control system so they can either be switched on and off at certain times. Most homes already have a certain amount of “smartness” because many appliances already contain built-in sensors or electronic controllers. Virtually all modern washing machines have programmers that make them follow a distinct series of washes, rinses, and spins depending on how you set their various dials and knobs when you first switch on. If you have a natural-gas-powered central heating system, most likely you also have a thermostat on the wall that switches it on and off according to the room temperature, or an electronic programmer that activates it at certain times of day whether or not you’re in the house.
https://www.explainthatstuff.com/smart-home-automation.html

8 sensors to help you create a smart home
List of sensors that one can deploy in their home to help ensure that they are safe from the storm.
https://www.ibm.com/blogs/internet-of-things/sensors-smart-home/

Six Evolving Business Models for the Smart Home
Smart companies today understand that traditional models of one-time sell through of products, or standalone products that cannot be monitored intelligently, provide little or no opportunity to create a relationship with consumers and establish brand loyalty. They also realize that in today’s market, their products can serve as revenue generators with the data they gather based upon a homeowner’s energy usage, security connectivity and/or home entertainment preferences.
https://www.iotforall.com/business-models-for-smart-home/

The anatomy of an IoT solution: Oil, data and the humble washing machine
A lot of people think about data as the new gold, but a better analogy is data is the new oil. When oil comes out of the ground it is raw, it has intrinsic value but until that oil is refined into petrol and diesel, its true value is not gained. Data from sensors is very similar to oil. The data that comes from the sensor is raw, to gain insight from it, the data needs to be refined. Refining the data is at the heart of a successful Internet of Things project which leads to business growth and transformation.
https://www.ibm.com/blogs/internet-of-things/washing-iot-solution/

The best smart home systems: Top ecosystems explained
Apple, Google and Amazon are the major players in the smart home arena now, with their smart speakers, ecosystems and voice assistants on hand to not only make controlling your connected tech easier, but to make home automation a doddle.
https://www.the-ambient.com/guides/smart-home-ecosystems-152

How data analytics is adding value in the smart home?
Analytics can be expected to foster whole-home integration of various Internet of Things devices by increasing awareness across multiple facets of the home, from thermostats to door locks to refrigerators to solar panels. Having insight across the entire home can enable machine learning and artificial intelligence technologies to eventually create smarter, more intuitive systems that not only make consumers’ lives more convenient, but also play a role in smart cities and the larger digitalized grid.
https://www.smartcitiesdive.com/news/how-data-analytics-is-adding-value-in-the-smart-home/446406/

Navigating Smart Home Data Security Concerns
Smart homes are no longer science fiction. But many consumers are slow to adopt. They’re worried about smart home data security breaches—and rightly so.
https://www.iotforall.com/smart-home-data-security/

User Perceptions of Smart Home IoT Privacy
Smart home Internet of Things (IoT) devices are rapidly increasing in popularity, with more households including Internet-connected devices that continuously monitor user activities. Report that analyzes the smart home owners reasons for purchasing IoT devices, their perceptions of smart home privacy risks, and actions taken to protect their privacy from those external to the home who create, manage, track, or regulate IoT devices and/or their data.
https://arxiv.org/pdf/1802.08182.pdf

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Technology Ecosystem for the Modern Day Business Application Developer

Technology is changing at a rapid pace. Everyday you see something new to be learnt, which did not exist few months back. If you are like me, who has come from an application development background, what does this change means to you?

For sure, this is not for gyan. Tried depicting this in a form, which i could use as a reference.  I purposefully, hace not included Desktop applications in this. If you are working in some of them, you may have include it for yourself. Obviously, this may change when we revisit this in couple of months.

Similarly, things like Programming Languages (Java, C#, Ruby), OOPS Concepts, TDD, SOLID Principles are foundations.

Technology Ecosystem

Is this Perfect? Not Necessarily. This is my version and you may have a different way of visualizing this. If you create one, please do share it with me 🙂

Did I cover all aspects? Not really. Take Analytics as an example. If you take Descriptive Analytics, you start looking at traditional Business Intelligence, Data Warehousing, Data Visualization etc. Each one is a separate block diagram on its own. Hence, i have stopped it at a very high level for this.

Can i be a master of all this? May not be possible. But if we have to call ourselves as techies, then we at least need to know what these are, where we can use them and may be pick and choose couple of items that could be of our interest and master it.

Happy Learning!!!