Big Data or Right Data? Opportunities and ChallengesSpeaker: Ricardo Baeza-Yates – Palo Alto, CA, United States
Topic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
AbstractBig data nowadays is a fashionable topic, independently of what people mean when they use this term. But being big is just a matter of volume, although there is no clear agreement in the size threshold. On the other hand, it is easy to capture large amounts of data using a brute force approach. So, the real goal should not be big data but to ask ourselves, for a given problem, what is the right data and how much of it is needed. For some problems, this would imply big data, but for most of the problems much less data will and is needed. Hence, in this presentation, we cover the opportunities and the challenges behind big data. Regarding the challenges, we explore the trade-offs involved with the main problems that arise with big data: scalability, redundancy, bias, the bubble filter and privacy.
About this LectureNumber of Slides: 100
Duration: 45 - 120 minutes
Languages Available: English, Portuguese, Spanish
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