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Wednesday, July 11, 2018

5 Artificial Intelligence Business Lessons From The Masters | AI & Big Data - Forbes Now

The big data and analytics market continues to morph as Artificial Intelligence (AI) fields, such as machine learning and deep learning, provide new ways to generate business insights, as Forbes Now reports. 
 
 
O’Reillys recent set of Strata Data conferences showcased how AI technologies are changing what companies can do with data across a wide range of industries. Here are four themes from Strata Data that universally apply across various industries and company sizes.

1. Both humans and machines are needed to deliver the best result.

Pinterest's VP of Engineering, Li Wan, shared the challenges and opportunities of creating a visual discovery engine. Wan described the challenges with naming an image while also understanding what’s in it and the style behind the image. Correctly defining image attributes is crucial for delivering a successful user experience. For example, a living room has multiple items in it. The company uses computer vision technology to break down the image, understand the objects within the picture and recommend similar things for you to consider.

Since there are 100 billion pins in the database, Pinterest can’t rank every pin for every user in real time. To accomplish this herculean feat, Pinterest uses a graph-based recommendation engine that filters the candidate recommendations for every user. It uses machine models to predict the engagement level of a Pinterest user to a pin and the relevance of pin for a user. It sounds like a simple classification problem, but the system not only has to detect an item, such as a chair, within millions of images. Additionally, the AI system has to understand the style of the object, requiring Pinterest to create feature vectors to help recommend an image based on a user’s style. Where does the human element come in? Data specialists clean, validate and label the data. 
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Source: Forbes Now


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