Description: In the real world, your personal life is a private space. But in tech, your personal data is a ripe resource for businesses to harvest in their own interests.
Date:May 1. 2017
When it comes to data collection, services like Unroll.me and Uber are small fry compared with internet giants like Google and Facebook, which have a wealth of information about people. And then there are large data brokers like Acxiom, CoreLogic, Datalogix and ID Analytics, which collect, analyze and sell billions of details about consumers’ online activities for marketing purposes.
For consumers, giving up some data has become part of the trade-off of receiving compelling, personalized services. But that doesn’t mean you have to be caught by surprise. Here are some tips from privacy experts on protecting yourself from tricky data collection.read rest of story
1. Should we, as consumers have to give up personalized information to use a digital service? Why or why not?
2. How does one make sure that their personal data is being protected and is secure?
Description: People have made fortunes selling cars and trucks. For many of us, a car is the second most expensive thing we’ll ever buy. But experts say the value of vehicles will likely pale in comparison to the riches from our cars’ data.
“Data is the currency of the digital age,” said Jim Barbaresso, who leads Intelligent Transportation Systems at HTNB. “Vehicle data could be the beginning of a modern day gold rush.”The gold rush analogy is a common one, made by everyone from Barbaresso to the CEO of Daimler. Here’s why there’s so much potential:
Cars increasingly have sensors and cameras to track their performance and their surroundings. Vehicle sensors, for example, can better tell when an engine part is in need of replacement. A back-up camera doesn’t just help us park, it can tell how many pedestrians or vehicles are on a block.
These sensors generate data, which can be analyzed to make money. (If you doubt the way data can be turned into money, just look at the success of Google (GOOG) and Facebook (FB, Tech30). They offer free services to billions, and make a fortune off the data they collect.)
Description: Many of us never pause to consider what that means, but data is growing exponentially — with no end in sight.
Date:May 27. 2016
Have you ever tracked all the ways you use datain a single day? How many of your calories, activities, tasks, messages, projects, correspondences, records and more are saved and accessed through datastorage every day? I bet you won’t be able to stop once you start counting.
Many of us never pause to consider what that means, but data is growing exponentially — with no end in sight. There are already more than a billion cellphones in the world, emitting 18 exabytes (1 billion gigabytes) of data every month. As more devices continue to connect to the Internet of Things, sensors on everything from automobiles to appliances increase thedata output even more. read rest of story
1. Why do we need storage in the era of Big Data?
2. What do you feel will be the effective way for small business to keep track of their data storage? Why?
Description: Algorithms make predictions more accurate—but they also create risks of their own, especially if we do not understand them.
Date: Jan 1, 2016
High-profile examples abound. When Netflix ran a million-dollar competition to develop an algorithm that could identify which movies a given user would like, teams of data scientists joined forces and produced a winner. But it was one that applied to DVDs—and as Netflix’s viewers transitioned to streaming movies, their preferences shifted in ways that didn’t match the algorithm’s predictions.
Another example comes from social media. Today many sites deploy algorithms to decide which ads and links to show users. When these algorithms focus too narrowly on maximizing user click-throughs, sites become choked with low-quality “click-bait. Read the Rest of the Story
1. Discuss the pros and cons of ALGORITHMS in managing a business.
2. List some examples of algorithm successes in business, education, or government.
Description: Jason McInerney and his wife, Melissa, recently tapped their lunch orders onto a touchscreen at the entrance to the Be Our Guest restaurant at Florida’s Walt Disney World Resort and were told to take any open seat. Moments later a food server appeared at their table with their croque-monsieur and carved turkey sandwiches. Asks McInerney, a once-a-year visitor to Disney theme parks: “How did they know where we were sitting?”
Date: March 7, 2014
Change is always tricky for Disney, especially at its parks, where introducing a new brand of coffee can spark a revolt by fans. Unhappy mouseketeers last year began a petition drive to keep Disneyland in January from pulling the Billy Hill and the Hillbillies show after 21 years (it didn’t work). Others marched on the park’s City Hall in 2004 after recalibrations made to the Mad Tea Party ride in the name of safety slowed it down.
MyMagic+ promises far more radical change. It’s a sweeping reservation and ride planning system that allows for bookings months in advance on a website or smartphone app. Bracelets called MagicBands, which link electronically to an encrypted database of visitor information, serve as admission tickets, hotel keys, and credit or debit cards; a tap against a sensor pays for food or trinkets. The bands have radio frequency identification (RFID) chips—which critics derisively call spychips because of their ability to monitor people and things. READ REST OF STORY
Questions for discussion:
1. Why is Disney investing in this RFID technology and why is it important?
2. What potential applications do you see for RFID technology and in what industries will this add the greatest value?
3. Comment on the statement “critics derisively call spychips because of their ability to monitor people and things.
Due to the issues raised by its volume, velocity and variety, Big Data requires new technology solutions. Currently leading the field is an open-source project from Apache called Hadoop. This is developing a software library for reliable, scalable, distributed computing systems capable of handling the Big Data deluge, and provides the first viable platform for Big Data analytics. Hadoop is already used by most Big Data pioneers. For example, LinkedIn currently uses Hadoop to generate over 100 billion personalized recommendations every week.
What Hadoop does is to distribute the storage and processing of large data sets across groups or “clusters” of server computers using a simple programming model. The number of servers in a cluster can also be scaled easily as requirements dictate, from maybe 50 machines to perhaps 2000 or more. Whereas traditional large-scale computing solutions rely on expensive server hardware with a high fault tolerance, Hadoop detects and compensates for hardware failures or other system problems at the application level. This allows a high level of service continuity to be delivered from clusters of individual server computers, each of which may be prone to failure. Processing vast quantities of data across large, lower-cost distributed computing infrastructures therefore becomes a viable proposition. READ REST OF STORY
Questions for discussion:
What is Big Data and why is it important?
What potential applications do you see for Big Data and in what industries will this add the greatest value?
Description: “If we wanted to figure out if a customer is pregnant, even if she didn’t want us to know, can you do that? ”
Date: Feb 16, 2012
As the marketers explained to Pole — and as Pole later explained to me, back when we were still speaking and before Target told him to stop — new parents are a retailer’s holy grail. Most shoppers don’t buy everything they need at one store. Instead, they buy groceries at the grocery store and toys at the toy store, and they visit Target only when they need certain items they associate with Target — cleaning supplies, say, or new socks or a six-month supply of toilet paper. But Target sells everything from milk to stuffed animals to lawn furniture to electronics, so one of the company’s primary goals is convincing customers that the only store they need is Target. But it’s a tough message to get across, even with the most ingenious ad campaigns, because once consumers’ shopping habits are ingrained, it’s incredibly difficult to change them. READ REST OF STORY
Questions for discussion:
Are there any ethical dilemmas to using big data in consumer services?
What other commercial applications can you see for organizations in using big data?
What skill would you need to be able to use Big Data in an organization that you work for