Conference: Jun 26-28, 2017
Workshops: Jun 29-30, 2017
Presentation: Building an AI in the Cloud
Location:
- Salon C
Duration
Day of week:
- Wednesday
Level:
- Intermediate
Persona:
- Architect
- CTO/CIO/Leadership
- Data Scientist
Abstract
Building a successful cloud-based A.I. dev platform on top of an open-source machine learning project is more complicated than one would imagine. Simply offering a hosted version of the project is hardly the answer. The secret to success is to differentiate the needs between the open-source users and the potential SaaS users. Oftentimes, they are of different species.
With years of experience building , Simon will walk through how the team at PredictionIO (acquired by Salesforce) navigated this roadmap and he will share the on-going challenges ML SaaS platforms face when developers try to build customized large-scale predictive applications on production environments.
Specifically, Simon will walk through these topics:
- The ML platform product design dilemma
- The difference between building A.I. in a lab and for real applications on production
- The uniqueness of several predictive applications
- The steps to build an end-to-end Machine Learning solution, from data sourcing to live monitoring
- The future of A.I. dev platforms
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Tracks
Monday, 13 June
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Architectures You've Always Wondered About
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Stream Processing @ Scale
Technologies and techniques to handle ever increasing data streams
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Culture As Differentiator
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Practical DevOps for Cloud Architectures
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Incredible Power of an Open-Sourced .NET
.NET is more than you may think. From Rx to C# 7 designed in the open, learn more about the power of open source .NET
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Sponsored Solutions Track 1
Tuesday, 14 June
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Better than Resilient: Antifragile
Failure is a constant in production systems, learn how to wield it to your advantage to build more robust systems.
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Innovations in Java and the Java Ecosystem
Cutting Edge Java Innovations for the Real World
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Modern CS in the Real World
Real-world Industry adoption of modern CS ideas
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Containers: From Dev to Prod
Beyond the buzz and into the how and why of running containers in production
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Security War Stories
Expert-level security track led by well known and respected leaders in the field
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Sponsored Solutions Track 2
Wednesday, 15 June
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Microservices and Monoliths
Practical lessons on services. Asks the question when and when to NOT go with Microservices?
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Modern API Architecture - Tools, Methods, Tactics
API-based application development, and the tooling and techniques to support effectively working with APIs in the small or at scale. Using internal and external APIs
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Commoditized Machine Learning
Barriers to entry for applied ML are lower than ever before, jumpstart your journey
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Full Stack JavaScript
Browser, server, devices - JavaScript is everywhere
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Optimizing Yourself
Keeping life in balance is always a challenge. Learning lifehacks
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Sponsored Solutions Track 3