Big Data and IoT Transform the Next Generation of Gadgets

3 min read

The implications of the big data revolution are typically associated with fields such as insurance, finance, and security. As essential as they might be for our future, they are not always understood by the average consumer. But you don’t need to look for a loan or an insurance plan to witness the massive impact that data has had on society and sometimes a simple visit to a gadget shop is enough to notice how many aspects of daily life data has revolutionized.

Taking a look at the evolution of the gadget market, it’s clear that there is an upgrade from aesthetics to function. Modern gadgets are sleeker, smaller and easier to use. From cameras and music players to vacuums and alarm clocks, today’s gadgets are one step ahead in terms of personalization because they meet their original purpose in a way that’s relevant for the user. Made to fit in the connected IoT home, modern gadgets are more and more present in daily life and, according to Cisco’s annual Visual Networking Index, machine-to-machine connections will account for more than half of the world’s connected devices by 2022.

Big data is actually making grocery lists obsolete. This isn’t just from Alexa devices, which obviously operate on big data and AI. Big data has also created smart trash cans too.

Everyone has been in the annoying situation of finishing a carton of milk or box of cereals and forgetting to add it to the grocery list. It’s simply a part of daily life. But soon, this might be a thing of the past. Smart trash cans are a new and ambitious project that uses big data to customize grocery shopping so that you never forget to buy an item again. In collaboration with Amazon’s Dash Replenishment Service, many developers have launched trash cans that support automatic reordering. This way, whenever the user throws something in the trash, the device scans the bar code and automatically adds into their shopping list on Amazon. Taking things even further, the merchants who join the DRS can use its capabilities to learn consumer consumption patterns and add items to the cart when supplies are low.

Big data can help improve our sleeping habits as well, which is something that will shock most people. Alarm clocks and lights that wake you up might not sound very fun, but smart bedside lamps manufacturers are hoping to help people improve their sleeping habits. These devices have been on the market for a while now, but their functionality was limited to lighting up in different colors. Now, thanks to the advent of data, smart bedside lamps learn the user’s sleeping patterns and adapt in such a way as to help them sleep better and wake up well rested.

Big data is also changing the way that we eat! Food and fun gadgets often go hand in hand, which explains the popularity of the Hapifork.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.