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Wednesday, May 9, 2018

QVC , On Air Program Host Job for 3rd Largest Ecommerce Company -

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Facebook has over 1700 Jobs: Here is How to Get a Job at Facebook -

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Nielsen Why You Want to Work at this Digital Transformation Organization -

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How fast is this Blockchain thing going to take over? -

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Should You Work at HBO or Netflix? -

Wednesday, January 31, 2018

Why Working at Hearst is Much Better than Houghton Mifflin Harcourt -

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What Will Making a VR Game While in Virtual Reality be like? -

Thursday, January 25, 2018

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Wednesday, January 24, 2018

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Thursday, January 18, 2018

Is it Better to work at Buzzfeed or The New York Times? -

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LeBook Business Development Job for Trend Setter -

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Executive Editor Job at Philadelphia Gay News -

Friday, November 10, 2017

How is VNTANA Creating Social Augmented Reality with Hologram Technology? -

Monday, October 30, 2017

Doob 3D Could Replace the Photo Industry with Real-Life Sculptures -

Sunday, October 29, 2017

Techcrunch Interviews: Infinite Analytics Can they Predict What you Will Buy Next? -

Thursday, October 19, 2017

Can SyncThink Read Your Mind? -

Wednesday, October 18, 2017

Is 360 Video the Future of Media? -

Wednesday, October 18, 2017

Tesla – Why you want to work at Tesla The Future of Cars – 1000 Jobs Available -

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Diffbot – Machine learning is the new Big Data and Giving it away might be a Money Maker.

Machine learning is the new Big Data and Giving it away might be a Money Maker.

“Everything’s becoming intelligent, but the limiting factor of intelligence is access to structured data,” Tung says. Diffbot, an artificial intelligence company that helps clients extract and combine data from multiple Web sources wants to scrape all the data on the web (all of it) to put it into a structured format. Making it useful for all sorts of business purposes and make money doing so.  The company says its technology “uses computer vision and NLP algorithms to extract and structure any web page into the world’s largest structured database… with no human curation or oversight.” Founded in 2009 The Palo Alto, CA-based startup announced today it raised $10 million from investors to expand its “knowledge-as-a-service” offerings to businesses and consumer apps.  They have raised close to $13 million since its seed round in 2012.  Diffbot’s plan is to catalog trillions of facts across the Web—many of them drawn from page elements such as comment forums, which can’t be mined by traditional search engines. Web-mining can be a competitive advantage for apps as well as the proliferating devices of the Internet of Things, Tung says. The startup says it has made a significant start on that goal, having indexed 1.2 billion…

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7 E-Commerce Shopping Innovations for Future Holidays

7 E-commerce Shopping Innovations for Future Holidays

Considering it’s the holiday shopping season I figured we should look into what’s on the E-commerce horizon. Ray Burke director of Indiana University’s Customer Interface Laboratory has spent years analyzing shopping habits. He was interviewed in a recent article on Popsci.com and he covers 7 topics about the future of buying commercial goods and consumer experience. E-commerce will become the only commerce; with the use of Big Data and Psychology they’re figuring out novel ways to track your in-store behavior, anticipate your needs, and help you find exactly what you need if it’s available. So let’s see what 7 innovations are in “store” for us literally: 1. Tracking Eye Movement 2. De-stressing Shoppers 3. Quicker Store Exits 4. Monitoring Moods 5. Instantaneous Product Printing 6. Intuitive personalization through feedback shopping 7. Sharing Economy Some of these may feel very intrusive in a “Big Brother” kind of way but at this very moment you still live in a consumer driven society and making buying easier keeps you happy and makes the retailer richer. It is a twisted win-win scenario. Besides shopping for the holidays just seems like a chore so perhaps all of these will genuinely help. Tracking Eye Movement –…

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What does Google’s D-WAVE, Blippar, and Machine Vision have to say about where media is heading?

What does Google’s DWAVE, Blippar, and Machine Vision have to say about where media is heading?

So why is a computer being able to see be so darn important, I’ll tell you why, so advertisers can know exactly who you are, wherever you are, and send a highly targeted product advertisement at you through some pretty clever channels. Let’s imagine a far future scenario, like in 16 months from now, where you are walking down the street and the HD digital display screen which is in actuality the glass of a storefront you happen to be passing near calls out to you specifically. “Hey Jeremy! I love the Ralph Lauren Jacket you’re wearing. We just got in the 2017 bold cut of that jacket in Dark Green, take a look” The display screen proceeds to show you what you would look like by overlaying the new jacket on top of the old while maintaining the street view behind you by using Augmented Reality. The display then proceeds to say “if you come in and buy one right now, we’ll offer you a %10 percent discount”. You say to yourself, damn, I look great in this jacket and walk right on in. SUCKER!!!! Honestly scenarios like this are in development right now. Not as cohesive as the…

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Disney and Carnegie Mellon is redefining Big Data with EM-Sense.

Disney and Carnegie Mellon is redefining Big Data with EM-Sense.

We’ve all grown up hearing and experiencing the “Magic of Disney”, but what does that really mean? Well thanks to their latest magic companies will know everything and we mean everything about you, like what you’re holding in your hands at this very moment. No cameras, drones, or stalkers required, basically just a smartwatch with some cool software. It’s called EM-Sense, developed by scientists at Disney Research and Carnegie Mellon University. So the question you should be asking yourself right now is “What the heck is Disney up to”? It seems like they are getting involved in every possible piece of technology, small, large, simple to super complex. But why? Not too long ago we wrote about their augmented reality coloring tech and their application of Li-Fi. Now they appear to be moving into stranger realms. A research paper was recently presented at a user interface software and technology symposium and it basically explained our bodies conduct electro-magnetic signals and this conduction can be easily measured. It also turns out that objects produce distinctive EM signals as well. By using the body as an antenna and software to filter the signals, EM-Sense has shown it is possible to discriminate reliably…

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Will Robots report the News and make Data journalism a thing of the Past?

Will Robots report the News and make Data journalist a thing of the past?

The only constant is that journalism has to re-invent itself. With technological outlets oozing into everyday culture, the way we get what’s happening out in the real-world is changing and it appears the new word on the streets is Data Journalism. Data is king, and we have become like machines who only acknowledge the values of numbers and statistics. More data; less social science based investigations and storytelling, towards data collecting, analysis and publishing based on code, algorithms and software from the computer sciences? Don’t worry just yet journalism is still all about storytelling, but the stories are being told from newer more scientifically integrated methods. Start-ups are most definitely trying to create a market position for data journalism. Perhaps in the future coders will be taking over the newsroom. It is amazing how quickly feeds from drones were implemented as a reporting tool. Right now we have programs that can be instructed to create rudimentary stories and rewrite them a myriad number of ways. Arduinos have allowed a number of individuals to create custom sensors that can be applied in the field for sensor-based journalism, where you can catalogue real world environmental data. You can capture anything from water…

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