High quality talks from the innovators in the industry with no sales pitch. Helped me to get a much broader and deeper understanding on where AI is headed and some of the areas where it is actively applied.
QCon.ai 2019 Conference Recap
Attendees talk about the Speakers
Bleeding-edge for the Enterprise
Bring trends from innovator and early adopter companies home to your team
Private On-device Recommendation
Deep Learning
Unsupervised Learning
Self-Driving Vehicles
Transfer Learning
Reinforcement Learning
Machine Learning Model Interpretability
Multi-Task Learning
Stream Processing
Chatbots
Recommendation Engines
Lambda/Serverless
Recommendations / Personalization / Relevance
Tensorflow
NLP /NLU
Sequential Data
Fairness / Privacy
DevOps
Containers
Spark Streaming
Kafka
Jupyter Notebooks
R / Python Use Cases & Tips
Is QCon.ai Right for You?
Our attendees roles are:
Software Developer / Programmer/ Engineer
Senior Developer / Engineer
Technical Team Lead and Higher (including):
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Technical Team Lead
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Senior Management (VP, CTO, CIO, Director)
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Architect: Technical / Application (platform specific)
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Enterprise Architect / Chief Architect
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Architect: Solution / Systems
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Technical Project Manager
Why QCon.ai
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.
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13 Years of QCon and InfoQ, now bringing you an AI-focused conference
QCon has been delivering a platform for senior developers, engineers, & leaders to discuss software engineering worldwide for over 13 years.
Artificial Intelligence & machine learning have been a part of many of our past QCon's:
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.
2019 Tracks
2019 Speakers
2019 Keynotes
Privacy: The Last Stand for Fair Algorithms
In a world where big data is continuously touted as "the new oil" and U.S. companies are shutting their websites down rather than following increased European privacy rules, why should we care or worry about privacy? Is privacy dead? If not, should we work to preserve it? In this talk, we'll dive into privacy for data science and why ensuring privacy for machine learning contributes to creating more ethical and fair models. We'll dive into research related to fair-and-private machine learning algorithms and privacy-preserving models, showing that caring about privacy and working to preserve user privacy in your machine learning workflows can help ensure a better model overall and support a more ethical product design.
Modern NLP for Pre-Modern Practitioners
"Transformers"? "BERT"? "ELMo"? What do NLP researchers actually do other than give things childish names? In this talk I'll discuss the kinds of problems NLP researchers are thinking about, explain their newest and hottest breakthroughs, and give you some ideas as to how you can incorporate these concepts and models into your work.
The Future of Transportation
In the evening keynote for QCon.ai, Dr. Sengupta discusses the future of transportation with an eye towards how machine learning and AI will help shape our future.Dr. Sengupta is an aerospace engineer, rocket scientist, and veteran of the space program. She worked for NASA for 16 years where her engineering projects included her PhD research on developing the ion propulsion system for the Dawn Mission (currently in the main asteroid belt), the supersonic parachute that landed the Curiosity rover on Mars, and the Cold Atom Laboratory an atomic physics facility now on board the International Space Station.After leaving NASA she led the development of the hyperloop as senior vice president of engineering systems at Virgin Hyperloop, a technology that can enable ground based travel in excess of airline speed. Her current engineering adventure is designing electrified autonomous VTOL air taxis for urban aerial transport, as Chief Product Officer and Vice President of Business Development at Airspace Experience Technologies. As an engineering savvy executive and pilot, she is now leading the mobility solutions for smart cities by eliminating congestion and reducing the carbon footprint of air travel.
2019 Workshops
2019 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
Stay at the QCon.ai venue
Special rate for attendees
(Possibility of early sell-out)
The hotel block is now closed.















