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American writer, futurist, and businessman Alvin Toffler observed major technological innovations – including television, the birth control pill, and travel by jet aircraft – and the cresting of the transformative wave from an industrial to a post-industrial society in which brain work was dominant over physical labor. Looking forward, Toffler saw more and more rapid innovation and greater social dislocation. In response, Toffler suggested that we need to develop a more “anticipatory democracy” as a cure. AI comes to the rescue With that in mind, it’s important to note the massive potential advantages that artificial intelligence presents. A modern example would be where AI is being used for stroke and cancer treatment, making recommendations based on medical records. According to Bernard Marr, in his recent Forbes article “ The Amazing Ways Infervision Uses AI To Detect Strokes ”: “It is hoped that the [Infervision] technology will soon go into widespread use and save lives by allowing doctors to more quickly and accurately diagnose strokes and assess the damage they have caused. It is the second medical technology based around machine learning which Infervision has reported success with – I previously mentioned their platform which detects early signs of lung cancer in X-ray and CT scans. Over 100,000 annotated medical image scans were used to train the algorithms, which given more live data will become increasingly efficient at diagnosing the two main types of stroke, hemorrhagic and ischemic," wrote Marr. “Infervision founder and CEO Chen Kuan told me that ‘X-ray is a very old type of medical check-up – in China, for example, no one had mentioned chest X-ray in academic conferences for more than 15 years. Until very recently with the arrival of AI. AI has helped radiologists discover problems they previously weren’t able to see. So we are very proud to see radiologists starting to discuss some very interesting and fantastic cases involving AI.’ It’s certainly a fantastic example of the ways new technology can unlock value from data which has been around for a long time.” Marr continues, “One of the major problems it solves is how to measure the volume of blood lost in hemorrhagic (bleeding) strokes. When every second is critical following a stroke, doctors generally use a simple mathematical formula to “guesstimate” as best as possible how much blood is lost. Research shows the more accurately this volume is assessed, the more likelihood a patient has of recovery, due to how it affects treatment.” Applying AI AI is a computer system and a collective of advanced technologies that allow machines to sense, comprehend, and learn. Organizations across sectors are amplifying their reach and impact with the use of technology like AI, which is a mimic-human intelligence that is being accepted into various fields including medicine. One of the most important areas of application is stroke medicine. According to the Centers for Disease Control and Prevention, stroke is the fifth leading cause of death in the U.S. and is a major cause of serious disability for adults. About 795,000 people in the U.S. have a stroke each year. The main reason is known as occlusion, which is caused because of lack of flow of blood to a portion of the brain is blocked. AI is applied for improving the accuracy of diagnosis and the quality of patient care, and it is applied to decipher the data from stroke imaging. Modern researchers have created an AI system that scans routine medical data to predict which patients will have strokes or heart attacks within 10 years. The AI system is more accurate than doctors using standard techniques, but it faces regulatory hurdles. In the near future, similar therapeutic methods, including predicting the treatment for the stroke patients, will be carried out efficiently and provide the most effective treatment which brings valuable insights, implicit knowledge, and unique perspectives. Existential challenge of superintelligent machines In a national survey by Pew Research Center, Americans expect that within 50 years robots and computers will “definitely” or “probably” do much of the work currently done by humans. These challenges require both immediate and future action. Computing systems are already outperforming humans in many tasks that profoundly shape the fields of biotechnology, pharmaceuticals, bioinformatics, microbiology, radiology, robotics, and healthcare, as well as paving a way for future computer-aided software devices and machine learning. While clear upsides and opportunities exist, there is a chasm between the state of technology and the state of clinical practice, with technology far outpacing the readiness of clinicians to adopt it. There has also been a high level of public distrust in AI, particularly regarding job security and clinician concerns, which is being superimposed on medicine. Not to mention the possible, near-future reality of superintelligent machines. These machines are envisioned to be superior to human brains (even a collective of brains) in performance, scale, and speed. All signs point to modern corporations and health organizations continuing to apply machine learning and deep learning techniques to their existing business models in the attempt to create new medical advances, business opportunities, and profit centers with the help of AI. Article written by Raj Kosaraju Image credit by Getty Images, DigitalVision Vectors, Pobytov Want more? For Job Seekers | For Employers | For Influencers
"I want God, I want poetry, I want danger, I want freedom, I want sin." — Aldous Huxley, "Brave New World" This week it was announced Sears will be closing all its mall locations in Asheville, North Carolina. Sears has been the cornerstone of the American mall experience since the 1960s and 1970s. But if you have been to a mall lately, you will notice shopping malls have become a barren wasteland of mobile phone repair stores, manicure and pedicure salons, and gag gift shops from hell with the likes of Spencer’s or Hot Topic. In the United States, in the mid-1990s, malls were still being constructed at a rate of 140 a year. And in 2007, a year before the Great Recession, not one mall was built within the United States. The mall experience A lot has happened since the pinnacle of the quintessential mall experience and you can see it in the YouTube video documenting the heyday to the dilapidation of the Owings Mills Mall in Maryland. Online retailers such as Amazon and eBay are not solely responsible for the destruction of the mall culture that made up the 1980s and 1990s in the United States, but its decay was first hastened by the rise of hypermarkets such as Target and Walmart. Today, in the United States malls have become haunted shells of their former selves. The trend carries over to Asia. It's so bad that in Bangkok, Thailand a mall has become an aquarium for Koi fish. Malls are not the only places dying. Movie theaters have seen a significant drop off of in attendance since the rise of streaming with services such as Hulu and Netflix. The film industry is scared . But what if the two dying cathedrals of Americana – malls and movie theaters – could be reborn into one? And what if the very technology which is being used to kill them both could be its savior? Now reach out in front of you and don your virtual reality headset. Virtual reality has hit a stalemate in adoption (other than in the areas of porn and video gaming), but even those lucrative markets are not enough to create mainstream adoption. Nor have filmmakers found a runaway success in the new medium that is virtual reality. Not yet. Of course, there has been some popular immersive content pieces such as Dreamscape’s: "Alien Zoo" and The Void's: "Star Wars – Secrets of the Empire" which have been lucrative. But an amazing trend has developed for both of these successes: the abbreviation is LBVR (Location Based Virtual Reality) – physical places for immersive experiences. The Out-Of-Home entertainment sector is exploding. People trend towards experiences with virtual reality outside their homes or with others. Immersive storytelling is steering away from voyeur experiences and instead creating intimacy between the story and the person experiencing it. If Steven Spielberg and Hollywood’s biggest players including 21st Century Fox, Warner Bros, Nickelodeon and AMC Entertainment get their way, they hope to open up Dreamscape VR Centers in the lobbies of AMC cinema complexes around the world. IMAX is also getting into immersive storytelling by opening up IMAX VR Experience Centers across the United States, Britain, Middle East, Japan and China. So the future of storytelling could find it's rebirth in the closed-down Pearls Centre in Singapore. Imagine a re-opened mall where each store front is now a new film to be experienced. Or what if future binge watching is a return to 1985 and spending all day at the mall. The food court returns to being the crux of teenage courtship and getting your snack food energy boost between a virtual film marathon. In the book "Brave New World" , the feelies are movies that are experienced not only through sight and sound but also through touch. "'Well, that was grand!' he said to himself when it was all over. 'Really grand!' He mopped his face. When they had put in the feely effects at the studio, it would be a wonderful film." — Aldous Huxley, "Brave New World" So maybe a new brave new mall would mean the next decade of technology achieves what the decades before couldn't – attract people to physical a place to have a shared experience together. And it just happens to be where Sears used to be. Article written by Gary Jackson Image credit by IMAX VR Want more? For Job Seekers | For Employers | For Influencers
We live in a world where we are inundated with more information on a daily basis than we can possibly process. It is an over-communicated environment. There are so many unwanted messages bombarding us that often the ones we want get lost in the noise. It doesn't matter whether you are connected to the Internet or not. We get hit by information at every turn – at work, at home and even as we try to relax. Have you ever wondered that protecting security of consumers, businesses and the Internet infrastructure has never been more difficult? Cyberattacks on Internet commerce, vital business sectors and government agencies have grown exponentially. Equifax and Uber data breaches. Facebook and Cambridge Analytica. Cyberattacks and breaches threaten organizations and individuals around the world daily. Here is the main point – Cambridge Analytica gained unauthorized access to data from more than 87 million Facebook users. Facebook says the data was shared improperly rather than hacked. This is a much larger figure than the previously believed 50 million Facebook users whose personal data was improperly shared with Cambridge Analytica. Facebook has promised to take a tougher line with apps and others who want to mine the mountain of data the social network has stockpiled about its two billion active users. “We exploited Facebook to harvest millions of people’s profiles. And built models to exploit what we knew about them and target their inner demons. That was the basis that the entire company was built on,” said Christopher Wylie, a Canadian data analytics expert who worked with Cambridge Analytica told The Observer . In a March 21 post, Mark Zuckerberg stated, "Last week, we learned from The Guardian, The New York Times and Channel 4 that Cambridge Analytica may not have deleted the data as they had certified. We immediately banned them from using any of our services. Cambridge Analytica claims they have already deleted the data and has agreed to a forensic audit by a firm we hired to confirm this. We're also working with regulators as they investigate what happened. This was a breach of trust between Kogan, Cambridge Analytica and Facebook. But it was also a breach of trust between Facebook and the people who share their data with us and expect us to protect it. We need to fix that.” Where users’ Facebook data may have been compromised The U.S. topped the list with 70.6 million users – close to 82% of all affected users. Philippines and Indonesia were the second and third most impacted countries, respectively, while 1.07 million users were affected in the UK. The core of the problem lies in the structures and business models Imagine what a state can do with the immense amount of data it has on its citizens. The amount of data we produce doubles every year. In other words – in 2017 we produced as much data as in the entire history of humankind through 2016. Every minute we produce hundreds of thousands of Google searches, Amazon, Twitter, Instagram and Facebook posts. These contain information that reveals how we think and feel. Whenever you come across a social media platform it is offered absolutely free to users. It is a push strategy of “taking the product to the customer,” grabbing the people’s attention and the product which is, essentially, the data that these companies are trying to sell. An organization can provide those that only allow the user to access what they need. The enterprise’s concern is the data; the employee’s concern is the device. In the IT security world, we care about both. But that's not all. Much of the technology is being developed by companies, who are in the business of capturing and selling our data and our attention to advertisers and others including Facebook, Google, Amazon, Twitter and Instagram. The more that is known about us, the less likely our choices are to be free and not predetermined by others. Now that most of the organizations have started adopting BYOD in some form, it is not just personal iPads and laptops that users are bringing into the office; they are also using the consumer apps available in their personal device for work purpose which leads to the next wave in mobility. In the very near future BYOD won’t be a ‘trend’ but a norm no one will think twice about. Facebook and Cambridge Analytica – Their power of influence is of great concern Everything started quite harmlessly. Search engines and recommendation platforms began to offer us personalized suggestions for products and services. This information is based on personal and meta-data that has been gathered from previous searches, purchases and mobility behavior, as well as social interactions. But it's not the intent or the statements people in technology make that matter, it's the structures and business models they're building. And that's the core of the problem. Either Facebook is a giant con of half a trillion dollars, and ads don't work on the site, and it doesn't work as a persuasion architecture, or its power of influence is of great concern. It's either one or the other. It's similar for Google, too. And many of these ad-finance platforms boast that they are free. In this context, we are the product that’s being sold. Think of all the data that Facebook has on you – every status update that you have ever typed, every messenger conversation, every place you logged in from, all your photographs that you uploaded there. If you start typing something, change your mind and delete it, Facebook keeps those and analyzes them, too. And it won't stop there. It is estimated that in 10 years’ time there will be 150 billion networked measuring sensors, 20 times more than people on Earth. Then, the amount of data will double every 12 hours. Again, the more that is known about us, the less likely our choices are to be free and not predetermined by others. Extricate yourself from social media as much as you can Today, tech companies’ algorithms know pretty well what we do, what we think and how we feel—possibly even better than our friends and family or even ourselves. Not to mention it tries to match you with your offline data. Companies also purchase a lot of data from data brokers. The world is becoming increasingly networked and ever larger amounts of data are accumulating.  We are talking about things like growing volumes and varieties of available data, computational processing that is cheaper and more powerful and affordable data storage. Stored data could be everything from your bank statements, Fintech accounts and financial records to your browsing history. They know many of the websites you visit, all the sites you are forced to sign into using your Facebook information, the drafts of posts you delete, what music you listen to and where you are at all times of the day when the app is open. They encourage deep surveillance on all of us so that the machine learning algorithms can work. That’s why Facebook wants to collect all the data it can about you. These algorithms may be able to detect people’s sexual orientation just from their dating profile pictures. In addition to searching for information on the Internet, buying things on ecommerce sites, booking app-based cabs and making payments and transfers on online payment platforms. They will also buy more devices, including wearables and smart speakers, which gather large amounts of data. You may have struggled to take data harvesting seriously because the "targeted" advertising on your Facebook feed – the last thing you looked at on Amazon and some dating sites – seems too lame to be nefarious. Take it seriously. Some software platforms are moving towards “persuasive computing.” Big tech giants like Facebook allow firms such as Cambridge Analytica to syphon away 87 million user profiles, while the average Internet of Things device is so easy to hack that a kid can do it. I didn’t really feel like contacting the developers of 72 different apps before deleting my Facebook account, so I am unclear about the fate of the data they have amassed. Presumably it’s all floating around in the cloud somewhere. So, I would urge you to extricate yourself from social media as much as you can. Deleting your Facebook account may not put an end to the surveillance state, but it sends an important message to big tech that we don’t trust them any longer. And mind you, Facebook doesn’t own your content, you do. Article written by Raj Kosaraju Image credit by Getty Images, NurPhoto Want more? For Job Seekers | For Employers | For Influencers
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