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Enterprise API Security Requirements for using Predictive APIs — Jason Macy (Forum Systems)
Oct
10
2:30 PM14:30

Enterprise API Security Requirements for using Predictive APIs — Jason Macy (Forum Systems)

Enterprise business analysts can no longer ignore the value of using public cloud-based machine learning solutions. The cost, quality, ease-of-use and rapid development in predictive APIs enables corporations to use such public cloud services for effectively modelling their private data. Within such hybrid public-private cloud environments, the need for API security is greater than ever. Building a proper API security infrastructure without a long-term API strategy can be a challenge, and over time become both costly and expose your organization to serious security risks.

JJason Macy is the Chief Technical Officer responsible for innovation and product strategy for global operations at Forum Systems. Jason has been a leading visionary for enterprise architecture design and successful deployment API identity and security technology. With hundreds of deployments worldwide, Jason’s unique ability to pragmatically solve complex, industry use cases and provide sustained engineering initiatives continues to forge the leadership role of Forum Systems product technology. Drawing from experience from virtually every industry sector, Jason has helped to evolve the Forum Sentry technology platform to be the global leader in FIPS 140-2 API security and identity.

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Accelerating Model Development and Deployment with the right API Abstraction — Dallin Akagi (DataRobot)
Oct
10
2:00 PM14:00

Accelerating Model Development and Deployment with the right API Abstraction — Dallin Akagi (DataRobot)

The amount of value that we can get out of our data depends on both the accuracy of the models built around them and the speed with which these can be built, tested, and deployed. In this talk we present the API of DataRobot, focusing on the reasons why we focus on a higher-level modeling abstraction than other APIs. We will also share a use case illustrating how this abstraction level makes it possible to accelerate model deployment development.

Dallin is a data scientist and engineer at DataRobot, building a REST API for automated machine learning. He previously worked in a computer vision lab for the Department of Defense studying neural networks and deep learning. He studied Computer Science at CalTech.

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[Tutorial] Deploying Python Models As an API — Henri Dwyer (Dataiku)
Oct
10
1:30 PM13:30

[Tutorial] Deploying Python Models As an API — Henri Dwyer (Dataiku)

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