There are just over seven weeks until QCon.ai, a dedicated AI and machine learning conference for senior software engineers, architects, and technical managers, takes place in San Francisco (9-11 April). Register now to save your seat!

Our schedule features expert-level technical talks from engineers at companies like Coinbase, Stitch Fix, Google, Udacity, PayPal, ING Bank, Celect, Stripe, Instacart, Salesforce, Opendoor, and many more. The twist is that these expert-level talks focus on the non-specialized software engineer. Take a look at the full schedule at QCon.ai as well as our speaker lineup.

Announcing our keynote: Matt Ranney, Sr. Staff Engineer @UberATG
We're pleased to announce our opening keynote as Matt Ranney, Sr. Staff Engineer @UberATG. 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. In this talk, Ranney will break down the software components that come together to make an Uber vehicle drive itself. You'll also learn about how they thoroughly test new software before it is deployed to the fleet.

Latest use-case oriented sessions added on how software innovators apply AI & ML
With six tracks featuring over 30 technical sessions across two days, QCon.ai talks range from shorter breadth focused talks to longer case study oriented ones. Over the last few weeks, we've added a number of new talks to our schedule. These include:

• Simplifying ML Workflows with Apache Beam by Tyler Akidau (Founder/Committer on Apache Beam & Engineer @Google)
• Machine Learning Pipeline for Real-Time Forecasting @Uber Marketplace by Danny Yuan (Real-time Streaming Lead @Uber) & Chong Sun (Senior Software Engineer @Uber)
• pDB: Scalable Prediction Infrastructure with Precision and Provenance by Balaji Rengarajan (Senior Data Scientist @Celect)
• Two Effective Algorithms for Time Series Forecasting by Danny Yuan (Real-time Streaming Lead @Uber)
• Transmogrification: The Magic of Feature Engineering by Leah McGuire (Principal Member of Technical Staff @Salesforce) & Mayukh Bhaowal (Director of Product Management @Salesforce)
• pDB: Abstraction for Modeling Predictive Machine Learning Problems by Balaji Rengarajan (Senior Data Scientist @Celect)
• Gimel: PayPal's Analytics Data Platform by Deepak Chandramouli (Analytics Tech Lead @PayPal)
• When We Spark and When We Don't: Developing Data and ML Pipelines at Stitch Fix by Jeff Magnuson (VP Data Platform @StitchFix)
• A Whirlwind Overview of Apache Beam by Eugene Kirpichov (Cloud Dataflow Staff SE @Google)
• Interpretability of Machine Learning Models by Mike Lee Williams (Research engineer @Cloudera Fast Forward Labs)
• Measuring Business Impact of Machine Learning System by Jevin Bhorania (Cash Data Science Lead @Square)
• How Instacart Applies Deep Learning by Jeremy Stanley (VP of data science @Instacart)
• Understanding Software System Behavior with ML and Time Series Data by David Andrzejewski (Engineering Manager @SumoLogic)

Gain hands-on experience in our self-paced codelabs
We're introducing a new learning experience option at QCon.ai: codelabs. Codelabs are a combination of self-paced tutorials followed by office hours with the creators. Codelabs let you work hands-on with AI tooling with the opportunity to get your questions answered, unblock on a tricky bit of code from the lab, or simply chat about your own use case with the lab's creators. Here are some of the currently confirmed codelabs:

• Python / Machine Learning Lab
• Tensorflow without a PhD
• Apache Beam
• TensorBoard Codelab
• Multiple Codelabs featuring IBM Watson

NEW: Be part of our live InfoQ Podcast recording on ‘Building a data science capability'
Join Charles Humble (the Chief Editor of InfoQ) and Wes Reisz (Host of The InfoQ Podcast) in a panel discussion recording of the first ever live recording of The InfoQ Podcast. Come hear from our panel and learn what it takes to build a data science capability. Questions will include: what the new roles in a data-driven company are, what to look for in hiring a data science leader, and you will have the opportunity to ask your own questions.

You can find out more about the conference, the schedule and a full list of speakers at QCon.ai. Should any of your colleagues express interest in attending as well, we offer discounts for groups as small as three people. Drop us a note at info@qcon.ai if you wish to receive more information. We hope to see you there.

Sincerely,
The QCon team

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