Tag: data science

Is Retail Ready for AI? – Lessons from IRCE @ RetailX

Artificial intelligence (AI) continues to be the biggest buzzword in 2019. Whether it be personalizing product recommendations on your eCommerce site to deliver better customer experience or detecting anomalies on your manufacturing line, AI can and should be used to empower everyone to make better-informed decisions with data. In fact, HBR reports that AI will

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Inside Ople – Nahid Alam

Having already founded a start-up and worked in Venture Capital, Nahid Alam has joined Ople, bringing even more diverse experience to the Ople team. With a strong software and machine learning background, Nahid joined the team as Lead Software Engineer with the primary responsibility of implementing new machine learning algorithms in the Ople platform. Tell

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Artificial Intelligence: Ople’s Pedro Alves on Learning to Learn to Learn, Big Data and Neural Networks

Our founder and CEO, Pedro Alves, had the opportunity to sit down for an interview with The Kamla Show to talk about Ople’s novel approach to Artificial Intelligence. Pedro and Kamla discussed the future of AI, as well as its current state and limitations. Pedro is driven to make AI something that is easy, cheap,

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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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