Artificial Intelligence and the Anatomy of The (Healthy) Future

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For those of you unfamiliar with my work, I write frequently about Fourth Industrial Revolution (#4IR) themes such as Tech Innovation, Agtech, and Industrial Disruption. If I had to pick one area I find most exciting, most potentially disruptive and thus the best opportunity for return on investment, it would be A.I. Artificial Intelligence is the brain that makes everything work. It's easy to get lost in #4IR Tech Innovation jargon with complex topics such as: Artificial Intelligence (A.I.), Augmented Intelligence, Deep Learning, Machine Learning, Neural Networks Internet of Things (IOT), Internet of Industrial Things (IOIT), IOE (Internet of Everything) Blockchain, Fintech, Mobile Payments, Cryptocurrencies, Bitcoin Big Data, Data Science, Data Mining: Especially for Healthcare and Agriculture Cybersecurity, Cyber Terrorism, Hacking, Asymmetrical Warfare Smart Cities, Smart Grid, Energy Storage, Portable Power 3D and 4D Printing: BioPrinting, Cloud Manufacturing, Bionics, and printing objects that assemble and reshape themselves over time Industrial Revolution says that, ultimately, the innovation leads to disruption, change, and economic unrest… but also leads to a new era of opportunity and invention. Or is it the other way around? The anatomy of infrastructure is not unlike that of the human body, and we all know it's possible to live long, healthy lives.


Machine learning and big data know it wasn't you who just swiped your credit card

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You're sitting at home minding your own business when you get a call from your credit card's fraud detection unit asking if you've just made a purchase at a department store in your city. It wasn't you who bought expensive electronics using your credit card – in fact, it's been in your pocket all afternoon. So how did the bank know to flag this single purchase as most likely fraudulent? Credit card companies have a vested interest in identifying financial transactions that are illegitimate and criminal in nature. According to the Federal Reserve Payments Study, Americans used credit cards to pay for 26.2 billion purchases in 2012.


Extreme Computing @CloudExpo @NVIDIA #HPC #BigData #IoT #AI #ML #DL

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Extreme Computing in the Cloud...How to Get It for FREE! Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is being used on IBM Cloud, Amazon, and Microsoft Azure and how to gain access to these resources in the cloud... for FREE! Speaker Bio Michael O'Neill is an established leader for NVIDIA.


The Rise of Insurtech in the Age of Algorithms - Dataconomy

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Titled'Data Science for Banking & Insurance', Dataiku's free eBook includes recommendations, use cases, testimonials, and how-to checklists that enable you to make your mark in this new era of Fintech and Insurtech. Whether you are working in marketing, risk management, product design, finance, actuarial science, underwriting, or claim management, this ebook illustrates how banking and insurance can seize the analytics opportunity. Get your free copy here. In the internet era, giants of the digital age like Google, Apple, Facebook, and Amazon (GAFA) in Western markets and Chinese powerhouses like Baidu, Alibaba, Tencent, and Xiaomi (BATX) in Eastern markets have been increasingly straying away from their bread-and-butter products and testing the waters in large, established industries like banking. GAFA and BATX are beginning to offer services like online and mobile payments, money transfers, personal lending, account and savings management, peer-to-peer lending (crowdfunding), and currency trading.


Machine learning and big data know it wasn't you who just swiped your credit card

#artificialintelligence

You're sitting at home minding your own business when you get a call from your credit card's fraud detection unit asking if you've just made a purchase at a department store in your city. It wasn't you who bought expensive electronics using your credit card – in fact, it's been in your pocket all afternoon. So how did the bank know to flag this single purchase as most likely fraudulent? Credit card companies have a vested interest in identifying financial transactions that are illegitimate and criminal in nature. According to the Federal Reserve Payments Study, Americans used credit cards to pay for 26.2 billion purchases in 2012.