Filtering by: API Track

End to End Machine Learning with MLDB.ai — Jeremy Barnes (MLDB.ai)
Oct
12
12:00 PM12:00

End to End Machine Learning with MLDB.ai — Jeremy Barnes (MLDB.ai)

MLDB is an open-source database designed for machine learning. You can install it wherever you want and send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs. In this talk, we will cover how to build a Predictive API "end to end" from data exploration to model evaluation to deployment, all using only simple MLDB API calls from MLDB's Notebook interface.

Jeremy Barnes is an entrepreneur and technology leader, active at the intersection of artificial intelligence and industry. He has 15 of years of experience applying machine learning to develop innovative products. Prior to MLDB.ai, he co-founded Datacratic, an enterprise software company developing machine learning technology for the marketing industry. Before that, Jeremy co-founded Idilia, a computational linguistics company, where he was responsible for research and development of Idilia's machine learning based core computational linguistics technology.

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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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Predict what color of shoes your customer wants to buy next! — Bas Nieland (Datatrics)
Oct
10
11:40 AM11:40

Predict what color of shoes your customer wants to buy next! — Bas Nieland (Datatrics)

How to use predictive APIs for 'Next Best Action'-marketing based on various datasets, predictive APIs and BigML's infrastructure.

Datatrics makes predictive marketing accessible, actionable and easy to use. With Datatrics, small and medium-sized enterprises can easily integrate their data, gain valuable insights and get actionable results that help them - and their team - to reach marketing goals. As Chief Technology Officer, Bas is responsible for the strategic development of the platform. Previously, Bas has worked in similar roles for Green Orange Digital Marketing and the financial analytics startup StockFluence.

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