Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY

Designing a Machine Learning Operating Platform

Diego Oppenheimer (Algorithmia)
11:05am11:45am Thursday, April 18, 2019
Implementing AI
Location: Mercury Rotunda
Secondary topics:  AI in the Enterprise, Automation in machine learning and AI, Platforms and infrastructure

Who is this presentation for?

Data Scientist, Machine Learning Leadership, DevOps

Level

Intermediate

Prerequisite knowledge

This will be most interesting for large enterprise customers, and ML heavy tech companies–both technical and leadership will benefit.

What you'll learn

  • The most common problems ML organizations encounter as they grow
  • How large organizations have led the way with in-house systems
  • Pros and cons of build-versus-buy
  • Best practices for automating model deployment and management
  • Automation pitfalls to avoid

Description

You constructed data warehouses and filled your data lake. You hired data scientists and trained amazing models. But when it was time to make those models work, you found your tech stack and DevOps processes really didn’t work for ML.

Models require specialized hardware, produce spiky compute cycles, and are written in different languages than the models and applications that consume them. That all adds up to a mess of manual labor, broken deployments, and spiraling costs, and it means your ML investments are generating losses.

Here’s the good news: there’s a path forward. ML leaders such as Google, Uber, and Facebook have led the way, building AI-specific model deployment and management systems–and they’re working. But what does that mean for the rest of us?

In this talk, Diego Oppenheimer, CEO of Algorithmia, will draw upon his work with thousands of developers across hundreds of organizations and discuss the tools and processes every business will need to automate model deployment and management so they can optimize model performance, control compute costs, maintain governance, and keep data scientists doing data science.

Photo of Diego Oppenheimer

Diego Oppenheimer

Algorithmia

Diego Oppenheimer is the founder and CEO of Algorithmia. An entrepreneur and product developer with extensive background in all things data, Diego has designed, managed, and shipped some of Microsoft’s most used data analysis products, including Excel, Power Pivot, SQL Server, and Power BI. Diego holds a bachelor’s degree in information systems and a master’s degree in business intelligence and data analytics from Carnegie Mellon University.

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