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Design Challenges for Real Predictive Platforms

Max Gasner (Salesforce.com)
Hardcore Data Science
Ballroom AB
Average rating: ****.
(4.29, 7 ratings)

The first databases were tightly coupled to their implementation details and use cases, until the relational revolution opened up the field and made database systems flexible enough to support a wide variety of applications with minimal configuration. What will it take to make predictive systems as ubiquitous and easy to use as databases? We’ll discuss the crucial design criteria for future predictive platforms and the kinds of interfaces they need to be able to support, as well as the challenges that lie between the state of the art and the future we envision.

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Max Gasner

SMTS, Predictive Intelligence, Salesforce.com

Co-founder of Prior Knowledge, now working on predictive analytics at Salesforce.