Blogs

Ople raises $2M to accelerate AI building AI

Ople.ai closes $2M in seed funding Today, we are excited to announce that we have raised $2 Million to accelerate the delivery of the first AI driven data-science platform.  Ople’s platform uses AI to build AI, modeling the behavior of the world’s best data scientists to produce world-class AI models in hours rather than weeks. Unlike brute-force or AutoML approaches,

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2017 AI Expo Talk – Pedro Alves

Pedro Alves of Ople.ai giving a talk at AI Expo 2017 in Santa Clara, CA. Ople.ai is using artificial intelligence to build artificial intelligence.

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Great time at ComTech Forum: Deep Learning

We had a great time at the Telecom Council’s ComTech Forum on Deep Learning. We met some great people and had some fun conversations about the cost, time and complexity of delivering huge impact with deep-learning. We heard a lot about the state of data-science in the Telecom, Media and Entertainment industry from tech leaders

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If AI has the power to transform all industries, why hasn’t it?

There is a ton of noise about AI today. A quick search on Google for “Artificial Intelligence” returned 82M results and almost 4M news stories. Bloomberg reported this week that mentions of AI in earnings transcripts has risen from less than 60 in 2016 to over 250 in just Q1 of this year! In a

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Training an army of Wilburs and Orvilles the (W)right way.

There is an enormous corpus of articles, blogs, discussions and posts around the subject of the AI/machine learning/deep learning supply and demand problem. I do not think anyone doubts or questions the fact that there is a deficit of scientists. Most of the disagreements are around the scale of the deficit, what that supply and

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Making Assumptions – Musings from a Silicon Valley Data Scientist

The following article discusses one of the many things that I have learned as a data scientist. It does not involve any popular new methods or deep learning, and perhaps does not sound as cool. It is something much more primary, but absolutely crucial to any scientist’s career. Whenever a problem is given to someone

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A change is coming to AI.

I will try to make this article concise and to the point. As I reflect about everything I want to say about this topic that goal quickly seems unachievable, but here I go. Data science is my passion. I have been doing it and machine learning for well over a decade across a dozen different

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