Conference: April 10-11, 2018

Workshops: April 9, 2018

San Francisco, CA

Applied AI for Developers

Practices and use cases for applying AI & machine learning in software engineering

QCon.ai is a dedicated AI and machine learning conference for senior software engineers, architects, and technical managers.

April 9 - 11, 2018
Parc 55 - A Hilton Hotel, San Francisco, CA

Register before we sell out!

Benefits of attending QCon.ai:

  • Learn how software innovators are applying AI & machine learning in use-case oriented sessions
  • Hear about the tools and techniques of AI & machine learning
  • Go in-depth on key topics in our 1 day of workshops
  • Gain hands-on experience in our self-paced codelabs with access to the codelab creators
  • Meet with AI and ML leaders from Google, Udacity, Uber, Coinbase, PayPal, Stitch Fix, Stripe and many more.
  • Gain valuable insights and ideas to shape your AI and machine learning projects

AI and Machine Learning Software Development Conference
#QConAI

Tracks

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Real-world Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.

Keynotes

Inside a Self-Driving Uber

Over the course of three years, Uber’s self-driving vehicles have driven over 2 million miles and have completed over 50,000 passenger trips in Pittsburgh and Phoenix. Many of you might be curious as to how we built a fleet of self-driving vehicles capable of driving autonomously in varying terrains and conditions. In this talk, Matt will break down the software components that come together to make a self-driving Uber drive itself. You’ll also learn about how we thoroughly test new software before it is deployed to the fleet.

Sr. Staff Engineer @UberATG

The People Behind The Conference

Speakers for QCon.ai are invited by our committee of industry practitioners. This is our amazing committee
Director of Data Science @Coinbase
Soups Ranjan

Soups Ranjan is the Director of Data Science at Coinbase, one the largest bitcoin exchanges in the world. He manages the Risk & Data Science team that is chartered with preventing avoidable losses to the company due to payment fraud or account takeovers.

VP Data Science @StitchFix
Brad Klingerberg

Brad Klingenberg leads a team of 20+ data scientists working on human-in-the-loop machine learning at Stitch Fix. His team develop the recommendation algorithms that guide our stylists, the human experts who curate the items selected for clients. We also match our clients and stylists together and measure, monitor and optimize the role of human selection in our recommendation system.

Chief Data Engineer @PayPal
Sid Anand

Sid Anand currently serves as PayPal's Chief Data Engineer, focusing on ways to realize the value of data. Prior to joining PayPal, he held several positions including Agari's Data Architect, a Technical Lead in Search @ LinkedIn, Netflix’s Cloud Data Architect, Etsy’s VP of Engineering, and several technical roles at eBay.

Machine Learning Engineer @Autonomous Intelligent Driving
Roland Meertens

Roland Meertens is Machine Learning Engineer at Autonomous Intelligent Driving. He works on the machine learning side of the perception software stack that will be deployed to the autonomous vehicles that will soon roam urban environments in Germany.

Why QCon.ai

Why Senior Developers, Architects, and Software Engineers are looking for AI and Machine Learning Topics geared towards them?
QCon.ai: Applied AI for software engineers rather than data scientists
Sander Mak
Sr Software Engineer at Luminis Technologies

Machine learning is one of the trends that need your attention. We’ve all heard about deep learning and the cool stuff Google is doing with it, but I think that enterprise applications product owners will be asking for more of these features. While it’s not trivial to get into, I think machine learning is really a skill set that software engineers should acquire now.

Felipe Huici
Chief Researcher, Systems & ML at NEC Laboratories

What I see as a major trend is that a lot of things (not everything, but alot of them) are going to become more and more driven by machine learning algorithms. If you care about your resume, it is going to look nice to say I have machine learning experience.

Haley Tucker

Software Engineer, Netflix

What I’d like to look more into and spend more time on is the machine learning space. I keep running into problems in my current job that just feels like there is a machine learning solution to it. I think there is alot of value in spending time in that space.

Software is changing the world.
AI is changing software

Software development is always evolving. And Software engineers continue to evolve with it.

Before DataEng became a thing, we had DBA’s and ETL folks. Software Engineers became more involved with the work and created the DataEng field. Before DevOps, we had Operations/Systems Administrators. Software Engineers became more involved with the work and created DevOps. We are seeing the same thing happen in SecOps… security folks who have operational SE skillsets.

Now, AI and machine learning are changing and shaping the future of software. Traditionally, this has been the field for PhD level data scientists. But as tooling and libraries are becoming more available and understood, that’s changing. Software engineers are moving into this field creating new roles, such as Machine Learning Engineers.

Our hypothesis is that there are large numbers of software engineers who have the talent to harness data in how they work, but don’t know the right problems to solve with AI and machine learning in engineering. When should you use a machine learning algorithm? When is a rules engine the right approach? At QCon.ai, we’ll help senior software engineers and architects uncover the real-world patterns, practices, and use cases for applying artificial intelligence/machine learning in engineering.

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  • of QCon attendees rate the level of content as expert

QCon.ai San Francisco Venue & Hotel

Parc 55 San Francisco

Parc 55 San Francisco - A Hilton Hotel

This contemporary, high-rise hotel is 1 block from Union Square with stunning views all around and close to popular attractions, events, and shopping. The conference venue is at the same location as the hotel.

 

Address

Parc 55 San Francisco – a Hilton Hotel
55 Cyril Magnin Street
San Francisco, California
94102 USA
Tel: +1-415-392-8000

Reservations

QCon special rate starting at $284/night*.
*first-come-first serve basis and possibility of early sell-out

Online Reservations