QCon.ai software conference - Last chance to register!

QCon.ai software conference - Last chance to register! There are only 4 weeks until [QCon.ai San Francisco]( takes place this April 15-17. [Gartner]( predicts by 2023, 40% of Infrastructure and Operations teams will use AI-augmented automation in large enterprises. How are the innovators using classic machine learning and the latest in deep learning today? What's the best (and worst) use case for applying each? Will today's roadmap get you there? QCon.ai is a three-day software conference focused on helping software engineers validate their machine learning roadmap and share knowledge about what's working today. It's a conference focused on software engineers looking to mature their craft and gain insight into these questions (and more). Some of this year's featured sessions include: Amit Nene Staff Engineer, Tech Lead Manager @Uber Talk: [Michelangelo Palette: A Feature Engineering Platform at Uber]( Sean Taylor Core Statistics Team @Facebook Talk: [Forecasting with Prophet]( Louise Poubel Software Engineer @OpenRoboticsOrg Talk: [From Robot Simulation to the Real-World]( Allison Buchholtz-Au PM @MIcrosoft & Shengyu Fu Principal Data Scientist Manager @Microsoft Talk: [Improving Developer Productivity with Visual Studio Intellisense]( Sravya Tirukkovalur Senior Machine Learning Engineer @Adobe Talk: [Deep Learning from a SWE's Perspective]( Joel Grus Senior Research Engineer @AllenInstitute & wrote Data Science from Scratch Talk: [Modern NLP for Pre-Modern Practitioners]( Each of QCon.ai's speakers is working on real-world AI and ML production projects. Learn from [speakers driving innovation and change]( in AI and machine learning from companies including [Google, Facebook, Stitch Fix, PayPal, Airbnb, Slack, and more](. There's no sales pitch - just great content that will help you and your team get a much broader and deeper understanding as to where AI is headed, and where it is actively being applied to help you validate your AI and ML practices and roadmap. Some of the speakers attending this year include: - [Gwen Shapira](, Principal Data Architect @Confluent, PMC Member @Kafka) - [Roland Meertens](, Machine Learning Engineer @Autonomous Intelligent Driving - [Josh Wills](, Software Engineer, Search, Learning, and Intelligence @SlackHQ - [Katharine Jarmul](, Co-Founder of KIProtect - [Pete Warden](, Technical Lead of TensorFlow Mobile @Google - [Mike Lee Williams](, Research engineer @Cloudera Fast Forward Labs - [Sid Anand](, Chief Data Engineer @PayPal - [Keunwoo Choi](, Research Scientist @Spotify - ind out more about our [schedule](, [tracks](, [speakers](, and [workshops](. High-quality talks from the innovators in the industry with no sales pitch. Helped me to get a much broader and deeper understanding of where AI is headed and some of the areas where it is actively applied. Prathima Donapudi Sr Software Engineer @Netflix Not just fluff. I have confidence I'm seeing things that actually work in production and I can take back to my organization! Manas Khare AVP, Lead Architect, Enterprise Architecture @CapitalGroup Continue the conversations in the hallways, over lunch, and at speaker AMAs Attendees at QCon.ai are software engineers working on all aspects of AI and machine learning. We've designed the conference to facilitate the sharing of knowledge between speakers and attendees ensuring you learn new things and go home with lots of ideas and inspiration to evolve your AI practices: - Evening Keynote at the End of Day 1 from Anita Sengupta on the Future of Transportation Day one of QCon.ai opens with the creator of Keras/software engineer @Google discussing best practices for machine learning and the upcoming changes with TensorFlow 2.0 and Keras. After a full day of deep technical sessions geared for SWEs, the day ends with aeronautics engineer [Dr. Anita Sengupta]( (Chief Product Officer working on Electric Autonomous VTOL Air Taxis, designed Mars Curiosity Rover's supersonic parachute, worked on the Cold Atom Lab for the International Space Station, & Virgin Atlantic's Hyperloop) talking about the future of transportation. - 20 Minute Breaks "The Hallway Track" Network and connect with engineers like you during longer breaks. - Ask Me Anything Sessions with the Speakers AMAs (Ask Me Anything) are Q&A periods with our speakers outside of the normal track boundaries. In addition to the conference sessions, 4-5 speakers in an open format answer questions around topics such as reinforcement learning, transfer learning, deep learning and building machine learning capabilities. AMAs are yet another opportunity to connect with speakers and learn from their journey in ML. These intentionally smaller sessions are unrecorded and a great way to discuss and unblock on issues you're grappling with. Note: If you are considering sending a team, we offer discounts for teams of 3+ who wish to attend. You can purchase group tickets now and confirm the attendees' names later. We hope to see you at QCon.ai San Francisco this April! [Register to save your seat]( Sincerely, The QCon team Follow QCon on You have received this email because you opted-in to the ''InfoQ Industry Email Notices'' box when you registered to InfoQ.com, where we send infrequent notices on behalf of our partners, user groups, conferences, etc. To unsubscribe to the InfoQ Industry Email Notices, please click the following link: [Unsubscribe](