AWS re:Invent
Apr 
7
, 
2019

Tina Yin is a host of exceptional ability. Studies show that a vast majority of guests attending events by Tina have been known to leave more elated than visitors to Santa's Workshop, The Lost of Continent of Atlantis, and the Fountain of Youth.

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Diego Oppenheimer

CEO/Founder

Algorithmia

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3:30 PM — 4:00 PM

Presentation & Fireside Chat

Doors open a half hour in advance. Please find your seat in time for the presentation to begin.

3:30 PM — 4:00 PM

Presentation & Fireside Chat

Doors open a half hour in advance. Please find your seat in time for the presentation to begin.

Achieve Machine Learning Maturity

Give your team the framework and language to develop sophisticated machine learning initiatives.

We have had countless conversations with organizations of all sizes at various stages of their ML journeys, and we have developed a simple mapping system that you can use.

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Tue, Apr 2 | Seattle, WA

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AWS re:Invent
RSVPs Closed
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June 
12
 — 
June 
13
, 
2019

Why attend?

London Tech Week's flagship event

AWS re:Invent is a learning conference hosted by Amazon Web Services for the global cloud computing community. The event will feature keynote announcements, training and certification opportunities, access to more than 2,500 technical sessions, a partner expo, after-hours events, and so much more.

What's Happening at the Booth

Learn about machine learning and how we facilitate deploying models at scale.

 
Say hi at our booth and ask us how to:
- Choose the right machine learning infrastructure for you
- Deploy and scale models in minutes
- Overcome monolithic stack challenges

Booth Information

Find us at Booth #311

Can't Miss Talk

Continuous deployment for ML: The new software development lifecycle

 

Date:        Wednesday, December 4

Time:        1:40 PM - 2:00 PM

Location:  Aria, Level 1 West, Nuvola Theater 

Abstract
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Diego Oppenheimer

CEO and Founder

Algorithmia

Bio
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Agenda

3:30 PM — 4:00 PM

Presentation & Fireside Chat

Doors open a half hour in advance. Please find your seat in time for the presentation to begin.

5:00 PM — 5:30 PM

Open Q&A

Bring your thoughts and questions. Our panel will take as many as they can.

5:45 PM – 6:30 PM

Networking

Join us for a light refreshment and a networking session.

Agenda

3:30 PM — 4:00 PM

Presentation & Fireside Chat

Doors open a half hour in advance. Please find your seat in time for the presentation to begin.

4:30 PM — 5:00 PM

Open Q&A

Bring your thoughts and questions. Our panel will take as many as they can.

5:30 PM — 6:00 PM

Networking

Join us for a light refreshment and a networking session.

3:30 PM — 4:00 PM

Presentation & Fireside Chat

Doors open a half hour in advance. Please find your seat in time for the presentation to begin.

Venue

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Watch Us

Automating the use of AI/ML models at every scale with the Serverless AI Layer.

More Algorithmia Events

Tuesday Happy Hour

Tue, Apr 2 | Seattle, WA

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Machine Maturity Discussion

Thur, March 29 | Seattle, WA

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Algorithmia @ Big Data World

Mar 19 – Mar 20 | Seattle, WA

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Diego Oppenheimer

CEO and Founder, Algorithmia

 

Diego Oppenheimer, founder and CEO of Algorithmia, is an entrepreneur and product developer with an extensive background in all things data. Prior to founding Algorithmia he 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 Bachelors degree in Information Systems and a Masters degree in Business Intelligence and Data Analytics from Carnegie Mellon University.

Program Details

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Continuous deployment for ML: The new software development lifecycle

Diego Oppenheimer, CEO and Founder, Algorithmia

Machine learning (ML) will fundamentally change the way we build and maintain applications. How can we adapt our infrastructure, operations, staffing, and training to meet the challenges of the new software development lifecycle (SDLC) without throwing away everything that already works? ML is the future of application development, but presently, many ML teams are flailing without a process or trying to shoehorn their ML workflow into tools that don’t fit the requirements. This session helps you understand the differences between the traditional and ML-driven SDLCs. You also learn to build a process and stack to bring efficiency to emerging development.

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