Tag: data science

Ople Live: Reboot Data Science Webinar #1 Recap

Last Thursday, Pedro and Giba hosted the first Ople Live: Reboot Data Science Webinar to discuss the current state of Artificial Intelligence and Data Science. Here are a couple of highlights from the webinar. Putting Models into Product Clip (1:46) https://youtu.be/v7iDdrrS9uA Visit our Product page to see how easy it is to put AI models

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Inside Ople – Sergei Bernadsky

When you first meet Sergei, you may find him very calm and pleasant, which he is most of the time. But when it comes to Machine Learning and Foosball, you will be faced with a very different person. We call him Sergio. Tell us a little bit about yourself. I graduated with a Master’s degree

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Inside Ople – Srikanth Munjuluri

In order to achieve a dream, people make decisions that seem unreasonable at the moment. Our Research Engineer, Srikanth Munjuluri, made such irrational decision a few years ago. He left his Ph.D. program and came to the U.S. to get a Master’s degree in Computer Science because he wanted to dive deeper into the world

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Lessons from AI & Big Data Expo North America 2018

Last week, the Ople team exhibited at AI & Big Data Conference & Expo North America 2018. As I mentioned in our previous event post “Plug and Play Fall Summit 2018 Recap,” we have been listening to our customers, and the team has been working hard to bring AI transparency, including model explainability, to the Ople

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Ople Unlocks the Black Box of Artificial Intelligence; First to Market with Transparent AI

Widespread adoption of AI is being held back, in regulated and unregulated industries, by a lack of transparency into AI models. Ople’s latest release opens the black box of the artificial intelligence decision-making process, making Ople the first to market with transparent AI. On November 28, 2018, the venture-funded, Silicon Valley company is rolling out a

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Model Explainability in an Unregulated World

In my last blog on the topic of transparent AI, I wrote about the necessity of transparency in heavily regulated industries. This post is about the importance and value that model transparency has in less/unregulated industries. Industries that fit this description include retail, digital advertising, manufacturing to name a few. There are various reasons why

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Model Explainability in a Regulated World

Today’s Artificial Intelligence, called “the new electricity”, under-delivers and underwhelms. The commonly acknowledged issues that reverberate are: “Not enough talent,” “Too expensive,” “Too hard,” and “Just not there yet.” Even if an AI company were to solve all of the complexity issues, however, other significant factors still largely deter the benefits of AI. One such major issue is

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Plug and Play Fall Summit 2018 Recap

During Plug and Play’s Fall Summit 2018, we showed a preview of our latest release, and it wowed the audience! People lined up after the talk to get a chance to talk to Julian. Take a look at the presentation to see why people were so excited! Over the past few months, we were frequently

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VB Summit 2018 Recap

How do you use AI to disrupt your business? What do you need to do in order to find value, justify the expense, create an impact on your business? These are some of the questions that were asked and answered at VB Summit 2018. Many executives from global companies like Microsoft, Google, Deloitte, and Uber,

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AI for AI Startup Ople Secures $8M in Series A

Ople, Inc., a Silicon Valley-based artificial intelligence software company, has secured $8M in Series A funding to expand the capabilities of its AI building AI™ platform. Triage Ventures led the round, with Hack VC joining and seed investors continuing their support. Ople has grown dramatically in 2018, continuing to lead the fast-changing AI industry with

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