Group items tagged

"Going from small data analytics to Big Data analytics or to predictive and prescriptive analytics is trickier. Expanding in both dimensions is human capital intensive, requiring talented data scientists. A McKinsey report (2011) estimates that by 2018, there will be a shortage of 140,000 to 190,000 workers with "deep analytical" experience and a further 1.5 million data-literate managers in the US. Technology giants such as Google, Facebook and Amazon, and large investment banks and top hedge funds can afford such employees, however even now the competition is fierce, as is evidenced by the ongoing talent war in Silicon Valley. The data scientist is indeed a sexy job in the 21st century."

"Teslas are incredibly data-hungry, storing massive troves of data about their owners, including videos of crashes, location history, contacts and calendar entries from paired phones, photos of the driver and passengers taken with interior cameras, and other data; this data is stored without encryption, and it is not always clear when Teslas are gathering data, and the only way to comprehensively switch off data-gathering also de-activates over-the-air software updates for the cars, "

"The internet is primarily funded by the collection, analysis, and trade of data-the data economy. Much of that data is personal data-data about you. The trading of personal data as a business model is increasingly being exported to all institutions in society-the surveillance society, or surveillance capitalism."

"DATA LEVERAGE CAN be deployed through at least four avenues: direct action (for instance, individuals banding together to withhold, "poison," or redirect data), regulatory action (for instance, pushing for data protection policy and legal recognition of "data coalitions"), legal action (for instance, communities adopting new data-licensing regimes or pursuing a lawsuit), and market action (for instance, demanding large language models be trained only with data from consenting creators). "

"Big data is the advance in data management technology, which allows for an increase in the scale and manipulation of a company's data. It allows companies to know more about their customers, products and their own infrastructure. More recently, people have become increasingly focused on the monetization of that data."

"Two prominent hospitals were the victims of data breaching hackers in the last few days with each hospital having over 40,000 patients' personal information at risk. On Monday, Phetchabun Hospital had the personal data of 46,000 of their patients compromised while Bhumirajanagarindra Kidney Institute Hospital had the data from 40,000 patients stolen in parallel attacks."

"Michael said recent threats to the security of government-held data such as the census failure should raise real concerns about the storage of biometric data en masse. "I am worried about theft, I don't buy the story that your data is safe. I think we've become almost complacent 'oh there's been another data breach. Oh they hacked in and stole the data'," she said. "Is the next phase of rollout going to be 'oh my e-health records were taken', 'oh my biometrics at border control were taken'?""

"O'Neill recounts an exercise to improve service to homeless families in New York City, in which data-analysis was used to identify risk-factors for long-term homelessness. The problem, O'Neill describes, was that many of the factors in the existing data on homelessness were entangled with things like race (and its proxies, like ZIP codes, which map extensively to race in heavily segregated cities like New York). Using data that reflects racism in the system to train a machine-learning algorithm whose conclusions can't be readily understood runs the risk of embedding that racism in a new set of policies, these ones scrubbed clean of the appearance of bias with the application of objective-seeming mathematics. "

""Not just here in this country, or in the United States, but virtually every adult human in the world has a cellphone, and they're all putting out data about where they are, what their preferences are, who they talk to and that data will run the world. That's why I call it the decade of data. "This is the beginning of it, not the end of it, we're just at the start," Pentland added. "

"The reason is that routine big-data analytical techniques can now effectively manufacture personal data that is not protected by any of the measures we've used up to now. A well-known illustration of this is the way Target, an American retail chain, creatively collated scattered pieces of data about individuals' changes in shopping habits to predict the delivery date of pregnant shoppers - so that they could then be targeted with relevant advertisements."

"The system used historical data, including arrest records and electronic police reports, to forecast crime and help shape public safety strategies, according to company and city government materials. At no point did those materials suggest any effort to clean or amend the data to address the violations revealed by the DOJ. In all likelihood, the corrupted data was fed directly into the system, reinforcing the department's discriminatory practices."

"The robust way to do that, the way that can't be set aside at the whim of a government, is to require systems to be built so as not to collect data about a person. The basic principle is that a system must be designed not to collect certain data, if its basic function can be carried out without that data."

"If that data is collected, does the child have a right to get it back? If that data is collected from very early childhood and does not belong to the child, does it make the child extra vulnerable because his or her choices and patterns of behaviour could be known to anyone who purchases the data, for example, companies or political campaigns. Depending on the privacy laws of the state in which the toys are being used, if the data is collected and kept, it breaches Article 16 of the Convention on the Rights of the Child - the right to privacy. (Though, of course, arguably this is something parents routinely do by posting pictures of their children on Facebook). "

"Many services retain the data they harvest indefinitely, and some have been caught storing (and losing) the data without encryption: for example, in 2017 the Greater Manchester Police were found to have lost data from victims of violent and sexual crimes, which had been stored unencrypted on DVDs and sent through the post."

"Anonymised Facebook data on people's travels could be used to identify the spread of Covid-19 in locations where health officials are not yet aware of it, a new Australian study has found. Published in the Journal of the Royal Society Interface on Wednesday, University of Melbourne researchers analysed anonymised population mobility data provided by Facebook as part of its Data for Good program to determine whether it could be a useful predictor in determining the spread of Covid outbreaks based on where people were travelling."

"Some time in the next few months, iPhone users will be greeted by a message - not from Facebook, but from Apple - asking them if they will allow the Facebook app to collect their data. If users refuse, Apple will prevent Facebook from doing so. Facebook's attempt to vilify Apple looks like sour grapes Read more A similar message from Apple will pop up, related to any app that collects data on users for advertising purposes. Facebook says it will preempt the change by rolling out a pop-up screen over the coming weeks and months, making a plea to users to stay opted in. "Agreeing to these prompts doesn't result in Facebook collecting new types of data; it just means that Facebook can continue to give people better experiences," a Facebook spokeswoman said."

"Perkins' report offers a dizzying list of data the TikTok app can access while it's running, including the device location, calendar, contacts, other running applications, wi-fi networks, phone number and even the SIM card serial number. He concludes: For the TikTok application to function properly, most of the access and device data collection is not required. This leads us to believe that the only reason this information has been gathered is for data harvesting. It is also notable that the device only needs to ask the user for permission to perform each of these actions once and then follow the user's preferences. The application however has a culture of persistent access or continuously asking for a decision reversal by the user. The hourly checking of location is also unnecessary. Finally, device mapping, external storage access, contacts and third-party applications data collection allows TikTok the ability to reimage the phone in the likeness of the original device."

"The university presidents' council said this morning that the security of its central admissions system has been upgraded after the personal data of around 23,000 students was advertised for sale on the dark web. The university presidents' council insisted that the leaked admissions data, which included personal information and examination results, was only current through last May after anger erupted over the data breach. #BanTCAS was surging on Thai Twitter this morning in reference to the Thai University Central Admission System, or TCAS."

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"which binds over all tech companies to serve as "data fiduciaries," with a legal requirement to use your data in ways that benefit you -- and not ways that benefit themselves at your expense (lawyers, doctors and other professionals have similar fiduciary duties); specifically, companies must not use your data in ways that would be "unexpected and highly offensive to a reasonable consumer.""