Big data is in its beginnings and is growing at a rapid pace. Big data applications differ from the expected to the unexpected and some of them are even unusual and mysterious. Big data has endless possibilities and this is the right time for organizations to find the big data applications in their business. We have described various big data applications in different industries for managing inventory flow or enhancing customer experience or for useful business decision making. However, there are many unusual ways in which big data is transforming our lives.We have highlighted 5 of the interesting and unusual big data applications in this article that are impacting our lives.
“Cornerstone OnDemand thinks big data can tell you who to hire”. Cornerstone OnDemand unveils a new big data analytics service that will help organizations solve the employee hiring problem. This new big data analytics service will help companies analyse the huge amount of big data generated about the employees to learn something meaningful. - 12, May 2015, Forbes
Another trending big data news highlighted “TomTom: Big data will fuel self-driving car innovation”.SatelliteNavigation Firm TomTom uses big data in big way by helping drivers avoid traffic jams, demonstrate the traffic light effects, helps identify where traffic lights should be placed , what is the best location to build a hospital, how many people can reach a particular location effectively. With data sharing between mobile and navigation devices becoming easier, TomTom will soon make the self-driving car happen by leveraging meaningful big data analytics. - 12, May 2015, TheInquirer
These are just some of the unusual innovative bigger big data solutions. Big data goes beyond the limited functionalities as various vertical business domains enter the big data market with more unusual big data applications.
According to EMC statistics report, the amount of digital data will exceed 44 zetabytes by end of 2020 that is close to 5,200 GB for every woman, man and child on earth. The amount of digital data produced is expected to double every year.
Most of the data generated today is transient; however, huge amounts of data can be mined to leverage it for big data analysis. IDC estimates that 22% of the data generated is useful today and this number is anticipated to reach 37% by end of 2020.
With zetabytes of data generated from various social and e-commerce platforms, a New York big data start-up "SumAll" is helping organizations optimize their social networking campaigns through big data analysis by helping them analyse big data generated from 42 different platforms like eBay, Facebook, Twitter, LinkedIn, Instagram, Pinterest so that these companies can get a glimpse of their business progress in a single chart.
Big data companies are busy discovering novel big data solutions to make the best out of big data analytics to grow their businesses. Most of the usual big data applications have been well-documented in our previous blog posts, like improving healthcare, improving marketing efforts, gaining better understanding of customer’s preferences and wants, identifying fraud and measures for preventing it. All these big data applications have become an integral part of our daily lives; however, big data is being used in many unconventional ways across different industries. Despite the challenges of adopting big data, there are several companies exploiting big data analysis in an innovative way to exhibit the versatility and usefulness of big data.
5 Unusual Big Data Applications
1) Big Data Applications for the Parking Lots
The modernization of intelligent transport systems in any smart city is unfinished without smart parking solutions. Smart parking is a big data analytics solution that uses real time big data and reliable information from mobile automated payment systems to help people find an available parking lot and pay for it.
“Smarking Drives Big Data to Parking Industry” -TechCrunch
Smarking ‘s smart parking big data solution designed for parking lots uses big data analysis and cloud technology to help parking staff make the most of the available space and maximize pricing by analysing the usage pattern of the parking lots and various other influencing factors such as flight schedules, special events and changing weather conditions.
Every time the entry gate goes up to permit entry of a car inside the parking lot, a payment is made and then again the gate goes up for the exit of the car; all this involves a data trail. The date and time the car enter the parking lot, the amount paid for parking, the method of payment and the time the car exited- all this data is collected and record to leverage big data analytics.
The smart parking solution by Smarking is helping parking management organizations and airports in real time tracking and predictive analytics leading to effective revenue optimization and staffing.According to the CEO of Smarking- Wen Sang, close to 20% of airport’s revenue is generated from parking.Smarking has partnered with Boston’s Logan Airport in the past few months to help Logan increase its revenue by $10 million in the next year.
For the complete list of big data companies and their salaries- CLICK HERE
2) Big Data Applications for finding your next Music Icon
Big data analytics will predict who’s going to be your next big rock star. When an individual watches Eminem videos on YouTube or tweets about their famous album, it is much likely that some company will be using this big data to process the information and try to find out what probably can be the next big hit in the pop music industry.
The big data solutions by The Next Big Sound can predict a year in advance about the probability of a pop star entering the Billboard 200 list. This helps people in the music industry decide whether it worth investing money on a certain artist.
The Next Big Sound analytics solution can help a music artist analyse their popularity on social network platforms. For instance, an artist with a Facebook, Twitter and Instagram account can leverage big data analytics to find out where they must focus their efforts on. If the Twitter following for an artist is the largest, Facebook following is growing fastest and Instagram following is highly engaged-a pop artist can choose to launch a marketing campaign on Instagram as the artist is going to get maximum engagement from there.
“Typically, how it has been used by our biggest clients is as a kind of monitoring system – they can look at the impact of the various social promotions they are doing, see how an album is selling or how it is streaming, and what all this activity online around the artist is.”- says Liv Buli, data journalist at The Next Big Sound.
With The Next Big Sound big data analytics solution, artists can look at how they are growing and figure out what are the best ways to keep moving with the popularity. Artists can now become superstars by leveraging the right big data solutions to predict success.
3) Big Data Applications for measuring Emotions
Emotional measurement technology is an innovative big thing that uses biometric big data such as facial recognition, finger print scans, and retina scan for big data analysis. This technology can be used to judge the reaction of audiences to different advertisements by measuring the emotions of people on how they interact with a company’s brand or service- to leverage it for big data analytics and facilitate profitable business decision making.
Affectiva uses emotional measurement technology i.e.facial recognition technology to analyse the huge amount of videos and photos based on the feelings and mood of the people featured in them. Wild Blue Technologies uses Affectiva’s big data analytics solution to develop a video for Hershey that could be displayed in retail stores. When customers in the retail store watch the video and smile at the screen, the display dispenses free Hershey’s chocolate sample to them by analysing the mood of the customer.
Tech startup OoVoo has employed Affectiva’s big data analytics solution into its video chat product so that it can analyse the emotions of the chatters.
By end of 2016, users will be able to watch horror shows that are as scary as they want them to be-neither less nor more. Users will have to pull up the horror shows from the list provided by the big data and AI startup Affectiva.While users stare at their smartphone or tablet, the camera will stare at them. The software will analyse the emotions in real time based on biometric data generated as a part of mood swings. If a user turns down his face for too long or shuts his eyes in fear for long then the plot of the horror TV show will speed up. If the eyes of the user grow large and clench interest then Affdex- Affectiva’s face reading analytics software will draw out the suspense.
“Yes, the killing is going to happen, but whether you want to be kept in the tension depends on you,” says Julian McCrea, founder of the London-based studio Portal Entertainment
4) Big Data Applications for Saving Rare Animal Species
Poachers are always on the hunt for endangered species of animals like Indian Tigers to manufacture medicines from their bones. Poachers are aware of all the characteristics of tiger’s habitat and it would be very difficult to trace them without big data in action. Tons of images captured by motion sensitive cameras are being analysed through various image recognition software’s to help find the numbers and environment of the most endangered species.
Animals in the wild are difficult to track and the only way this can be done is by leveraging a rudimental tracking system. HP has recently announced its partnership with Conservation International (CI) for creating Earth Insights through big data analytics.
The big data analytics system is designed to create an early warning system for the animals belonging to the group of endangered species. By using sensors, cameras the analytics system will collect data from close to 1000 devices and then collate it to find out the population of each species. The collected big data is then fed into the HP Vertica platform which analyses the readings precisely to find out regions or locations of endangered species .This helps the conservation department invest time and money in specific regions to save the endangered species.
5) Big Data- The Master Chef of the Kitchen
A professional master chef spends several years of his life in mastering his or her specialized cuisine by experimenting with various ingredients - big data does this in just few minutes.
“Meet Chef Watson, IBM’s futuristic foodie robot”-May 12, 2015 Washington Post
IBM’s Watson computer in collaboration with the Institute of Culinary Education, New York has paved for an innovative cookbook “Recipes for Innovation” which is the talk of the food industry. This cookbook contains mouth-watering delicious food pairings that would not be possible for the chefs to discover independently.
Some of the unusual food parings that IBM Watson has identified are Brussels sprout with Cardamom, Creole shrimp lamb momos, Mushrooms with Strawberries, Viet Thai Green Curry Poutine, and Plum Pancetta.
IBM Watson consumes tons of unstructured data from – recipes, chemical compounds, food pairings, academic studies, tweets, and books. This unstructured data is then analysed to detect patterns that humans cannot find out.
“Watson amplifies human creativity. It’s a collaboration that allows Watson and the chef to discover more than either of them could independently.”- says Steve Abrams, an IBM engineer from the Watson team.
Have you come across any unusual big data applications recently? Let us know about them in comments.
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