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Building vs. buying AI News
May 18, 2018
A new developer kit from Intel seeks to lower the bar for doing deep learning on CPUs and other types of chips to extract more intelligence from video.
July 31, 2017
Think before you act on artificial intelligence technologies to ensure that your efforts to become a "cognitive business" lead you in the right direction.
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The emergence of AI-as-a-service tools is helping more enterprises access the benefits of AI, not just the leading-edge tech companies that pioneered the technology. Continue Reading
In this podcast, Trulia's vice president of engineering discusses the importance of computer vision applications to the website's overall goal of helping buyers find homes. Continue Reading
AI washing is a marketing effort designed to associate brands and products with artificial intelligence, even though the connection may be tenuous or non-existent. Continue Reading
Evaluate Building vs. buying AI Vendors & Products
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Before autoML can improve model building and deployment, enterprises need to choose a platform. Here, we evaluate autoML platforms by category, key features and accessibility. Continue Reading
Once a machine learning model is trained, developers need to operationalize it. This turns out to be a significant challenge for many enterprises. Continue Reading
At Wayfair, using computer vision and NLP to understand the meaning behind images and searches is the key to customer recommendation, satisfaction and easy substitutability. Continue Reading
Problem Solve Building vs. buying AI Issues
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Most data science projects end up facing similar problems, such as lack of robustness and data quality issues. In this feature, experts offer tips on how to overcome these challenges. Continue Reading