Background

Nauto’s intelligent driver safety system assesses how drivers interact with a vehicle and the road ahead and makes predictions using machine learning (ML).

Enabled by Qubole and Amazon SageMaker, Nauto automates processes and continuously trains, validates, and tests ML models faster than ever — to help drivers prevent collisions with real-time coaching.

Join our webinar to learn how Nauto increased productivity of its data science and artificial intelligence teams, reducing the time to deliver algorithms and insights from weeks to days.

Register to learn

  • How to build, manage, and scale infrastructure to support machine learning applications

  • How to prepare and understand data to continuously train models and make better recommendations

  • How to reduce the cost of managing and operating a big data and machine learning infrastructure

Who should attend?

Data science teams, data engineering teams, data analytics teams, data users

Speakers

Chaitanya Hazarey - AI/ML Specialist Solutions Architect, Amazon Web Services (AWS)

Harsh Jetly - Sr. Solutions Architect, Qubole 

Lei Pan - Director of Engineering, Nauto

REGISTER

Now

Date Thursday, July 18, 2019

Time 11:00 AM PT | 2:00 PM ET

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