Category Archives: big data

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Any marketer who’s not using image A.I. is missing out

Everyone knows the number and it doesn’t lie: 1.6 Billion images uploaded daily. Out of the main platforms people use to communicate daily, the top 5 (Instagram, Snapchat, Whatsapp, Facebook, Pinterest) use almost exclusively photographs. It is estimated that 75% of the web’s real estate is also made of images. Yet marketers seem to completely ignore this vast pool of extremely valuable information, choosing to rely instead on inefficient hashtags or vague keywords. The numbers tell the story: Snapchat (8,796 photos shared per second), Whatsapp (8,102 Photos shared per…

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Is Amazon serious about visual recognition ?

Amazon is the latest big company to throw itself into the visual content recognition market.  Armed with the late 2015 acquisition of Orbeus, makers of ReKognition and Photo Time, it just launched its own APi service, also called ReKognition. After giants like Google, IBM, Microsoft, and smaller companies like Imagga or Clarifai, it is the latest, and maybe most formidable, offering in this space At first glance, nothing really new here, if compared to other similar services. In fact, it seems that Amazon is done little…

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10 Questions to a GM : Picscout Insights for Business

We live in a world dominated by visual content. Yet, we have little to no knowledge on what and how that content works.  We publish, share and consume thousands of images a day, yet we have no idea why a particular image has so much engagement and the other, none. That is about to change. Mixing analytics with A.I., Israeli-based company Picscout is breaking the chains of ignorance and promises to inject science where instinct previously ruled. With Insight for Business ( and it’s consumer version…

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10 Questions to a founder : Beautifeye

While we are all aware photos have a massively dominating position on the web, we are also painfully aware of how little is done to tap into this massive source of data.  What people photograph and share reveal a lot about what they can and will consume. Few  startups offer solutions, mostly because the task is not simple.  The massive volume, the separated ( and walled) locations, the current limitations of content recognition makes it extremely difficult to return meaningful and actionable results. However, some jump…

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LDV Vision Summit : A recap

Tell me something I don’t know. Every year, this is the challenge raised by the LDV Vision Summit in front of an audience made of experts in their fields, scientists, researchers, founders, CEO’s, investors and pundits. And every year, the same reaction: Wow, I didn’t know that. The 2016 edition, which just closed a few days ago, did not disappoint. In a field where breakthroughs are seemingly far between, there is still room for anyone to discover research, studies, applications or companies that reveal yet another…

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10 Questions for a 3D vision engineer : Gaile Gordon

Machine vision is partially blind. Of all the information a camera can capture, one essential part is always missing. Unlike popular belief, 3D capture is not about rendering a 3D environment but rather giving vision sensors the power to integrate depth, very much as our own eyes ( and brain) perform.  How we perceive and understand our world is very much influenced by our ability to integrate spatial dimension. Gaile Gordon, senior director of Technology at Enlighted, who has spent most of her career researching 3D…

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10 Questions to an artist/engineer : Gregor Hochmuth

– A little about you, what is your background ? I’m a fairly recent New Yorker, having moved here only about a year and a half ago. I had been living in San Francisco for many years until then and working at a number of tech companies out here: First at Google as a product manager, then joined Instagram when the company was still very small. Once we were acquired by Facebook, I stayed for another year and a half before deciding it was time…

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10 Questions for an investor: IBM Watson

After Watson’s success at winning Jeopardy competitions, IBM created a whole new business unit entirely dedicated to taking advantage of its impressive capabilities. Using cloud computing and  cognitive A.I., the IBM Watson ecosystem can process language, text, image, speech or data as input for anyone at any scale. Realizing that the biggest promises reside in the uncharted startup world, it soon dedicated a $100 M investment fund. Ahead of his participation as a judge at the LDV Vision Summit startup competition,  we sat down with…

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10 Questions to a founder : Vidlet

And it’s back. In a little more than a month, the third edition of the LDV Vision Summit promises to be as enriching, if not more, than the previous two. 2  days jammed packed with sessions, presentations, a start-up competition and plenty of opportunities to network, all around visual tech. And as now tradition, we start our series of short interviews with some of the presenters about to take the stage. Doreen Lorenzo, co-founder of Vidlet, shares with us some insight about her company, the marketplace,…

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Visualizing User-Generated Content to Better Understand Humanity

Making sense of the trillions of images now available on-line can reveal fascinating information about our society. Taking the first steps in this complex field that mixes art, computer science and sociology, Dr Lev Manovich, professor at the Graduate Center of the City University of New York explains, via a few of his projects, how we can learn by just looking at what others are capturing. This is the transcript of his 2015 LDV Vision Summit presentation: We all hear this expression “thinking outside of…

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