What the heck is time-series data (and why do I need a time-series database)?

@tachyeonz : Here’s a riddle: what do self-driving Teslas, autonomous Wall Street trading algorithms, smart homes, transportation networks that fulfill lightning-fast same-day deliveries, and an open-data-publishing NYPD have in common?

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Farmers Look For Ways To Circumvent Tractor Software Locks

@tachyeonz : A new tractor often costs hundreds of thousands of dollars, but one thing not included in that price is the right to repair it. That has put farmers on the front lines of a battle pitting consumers against the makers of all kinds of consumer goods, from tractors to refrigerators to smartphones.

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5 helpful scenarious where MQTT can be used for Industrial Automation

@tachyeonz : MQTT (MQ Telemetry Transport or Message Queue Telemetry Transport) is gaining popularity over the last years thanks mainly to its simplicity and  lightweightness.  It has all necessary features and can be used for simple solutions for industrial automation.

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Digitization of the Supply Chain: The future is now.

@tachyeonz : Innovation and automation are running rampant in the current digitized global marketplace. The market is larger, and smaller than ever, all at the same time. It’s exciting and and frightening, and frankly, I love it.

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Why American Farmers Are Hacking Their Tractors With Ukrainian Firmware

@tachyeonz : To avoid the draconian locks that John Deere puts on the tractors they buy, farmers throughout America’s heartland have started hacking their equipment with firmware that’s cracked in Eastern Europe and traded on invite-only, paid online forums.

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Google Glass Didn’t Disappear. You Can Find It On The Factory Floor

@tachyeonz : Remember Google Glass? They’re the headsets that look like regular glasses but have a small computer on the side to speak to and access the Internet. If that’s not ringing a bell, it could be because Google Glass fizzled out and was discontinued in the consumer market.

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3 cool machine learning projects using TensorFlow and the Raspberry Pi

@tachyeonz : In early 2017, the Raspberry Pi Foundation announced a Google developer survey, which requested feedback from the maker community on what tools they wanted on the Raspberry Pi.

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Model-Drive Automotive Heath Monitoring and Predictive Maintenance

@tachyeonz : Rather than just listing all the new capabilities for system simulation and analysis in the latest release of ANSYS Simplorer, I thought it would be interesting to share a cool example of how our systems capabilities have been applied to health monitoring of an automotive braking system.

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IoT and IIOT Cybersecurity Market Map

@tachyeonz : CB Insights has identified 78 private companies at the intersection of cybersecurity and connected hardware, which includes: critical infrastructure, mobile phones, connected devices, enterprise endpoints, and connected cars.

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Hacking industrial vehicles from the internet

@tachyeonz : It is possible to monitor and control float trucks, public bus or delivery vans from the internet, obtaining their speed, position, and a lot other parameters. You can even control some parameters of the vehicle or hack into the canbus of the vehicle remotely.

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Industrial IoT Muscles up to Functional Safety with New Intel Solution

@tachyeonz : In my position as GM for industrial solutions in the Intel Internet of Things Group (IOTG) I’ve heard manufacturers consistently voice frustration on how to effectively and efficiently develop, design and deploy robust functional safety solutions to meet evolving safety standards and protect the

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TensorFlow Image Recognition on a Raspberry Pi

@tachyeonz : Editor’s note: This post is part of our Trainspotting series, a deep dive into the visual and audio detection components of our Caltrain project. You can find the introduction to the series here. SVDS has previously used real-time, publicly available data to improve Caltrain arrival predictions.

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