Have you ever wondered how YouTube knows precisely what you want to watch, well they don’t, Big Data does. These companies are able to recommend related content based off of what you watch or who follow. In my essay, I will talk about the main reasons we need to share data properly. These are my three reasons: Sharing data make everything more convenient. Sharing our data keeps us safe to an extent and sharing data allows companies to identify the root causes of failure.
Sharing data makes everything more convenient because, with more significant sums of Data, we can accomplish more. According to Big Data on TedX by Kenneth Cuckier Sept 24, 2014, “When we have big data, we can fundamentally do more things than we could with smaller amounts” This means that they are able to do more relevant things than they could without collecting data, it is no longer randomized. (They know you better than most people do). Also, a lot of McDonald’s in Shanghai, China is using facial Identification to recommend food from their menu to you. In “KFC China Is Using Facial Recognition Tech to Serve Customers – but Are They Buying It?” The Guardian, Guardian News and Media, 11 Jan. 2017 (www.theguardian.com/technology/2017/jan/11/china-beijing-first-smart-restaurant-kfc-facial-recognition) , they said KFC and Baidu have teamed up to make a facial recognition software that can recommend you items based on recent visits, what you are wearing, the size of your body, etc. In addition, this gives both the companies full access to your facial identifications. However, this is good for convenience, but it is a lot of information that if hacked, can be very dangerous. In one hand, there are a lot of amenities to these companies having your facial identifications all in one system and in the other, there is also a considerable risk. While enjoying the benefits of Big Data we need to be aware that sharing too much can be risky and dangerous.
Sharing our data keeps us safe to an extent. According to “Face Recognition” Panasonic ND (security.panasonic.com/Face_Recognition/) , Facial identification is crucial for special forces. Both the FBI and CIA have access to a system that holds everyone’s records including criminal records and facial IDS, this is good because if a crime takes place and it is caught in camera, the Special Forces will be able to identify the person from their system. Healthy eating apps can tell you whether you’re eating healthy enough. Let’s use MyFitnessPal as an example, this company allows you to put what you have been eating and doing throughout your day so they can give an analysis on whether or not you are being healthy enough. This is important for over obese people because it is tough for them to lose weight and this helps them and many others. Big Data has a significant safety bonus.
Sharing data allows companies to identify the root causes of failures. Companies use your data to improve their company. In “Big Data: What’s Your Plan?” by Stefan Biesdorf (www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-whats-your-plan), it said companies collect data based on what you most often search for or purchase, so they can more accurately advertise to you. This makes their advertisements more meaningful. A lot of the times a company makes an update to their app it is because the number of users is decreasing and their data showed them why. Certain apps such as Instagram update very frequently because of Big Data, based on every search you make or person you follow they want to find a way that allows you to see what you want and only what you want. Companies are continually developing new algorithms for their users that keep on becoming more advanced, this is because of Big Data.
Many people are hesitating when it comes to sharing big data because they are merely afraid of being hacked, being hacked is a significant threat. However, you don’t need to share data to be hacked. According to “Apple Can’t Protect You from Data Trackers Forever. No One Can.” By Alfred Ng, (www.cnet.com/news/apple-cant-protect-you-from-data-trackers-forever-no-one-can/ if you become hacked directly then instead of sharing your data with a company, it’s literally feeding your data to the hackers. This is even worse than being hacked.
In conclusion, I believe Big Data presents a lot of advantages, but these advantages come with a lot of possible speculations. We need to be careful not to click on sketchy stuff such as scams or hacks. In “Scam Statistics.” By Australian Competition and Consumer Commission, 19 May 2016, (www.scamwatch.gov.au/about-scamwatch/scam-statistics) it says in 2018 over $83,000,000 and 103,000 people were scammed. This is around 11.1% of their annual salary. The world is constantly advancing in theory, and without big data, we wouldn’t be where we are now.
TEDtalksDirector. “Kenneth Cukier: Big Data Is Better Data.” YouTube, YouTube, 23 Sept. 2014, www.youtube.com/watch?v=8pHzROP1D-w.
Hawkins, Amy. “KFC China Is Using Facial Recognition Tech to Serve Customers – but Are They Buying It?” The Guardian, Guardian News and Media, 11 Jan. 2017, www.theguardian.com/technology/2017/jan/11/china-beijing-first-smart-restaurant-kfc-facial-recognition.
“FacePRO.” FacePRO｜Face Recognition｜Panasonic Security System, security.panasonic.com/Face_Recognition/.
Ng, Alfred. “Apple Can’t Protect You from Data Trackers Forever. No One Can.” CNET, CNET, 12 June 2018, www.cnet.com/news/apple-cant-protect-you-from-data-trackers-forever-no-one-can/.
Australian Competition and Consumer Commission. “Scam Statistics.” Australian Competition and Consumer Commission, 19 May 2016, www.scamwatch.gov.au/about-scamwatch/scam-statistics.
Biesdorf, Stefan, et al. “Big Data: What’s Your Plan?” McKinsey & Company, www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-whats-your-plan.