QCon.ai Unveils Conference Session Tracks At Its San Francisco Applied AI Conference For Software Developers

Share Article

Team behind QCon and InfoQ announce the tracks for their new applied AI and machine learning conference for software engineers, taking place April 9-11, 2018, San Francisco, CA.

Today, QCon.ai, a brand new AI and machine learning software development conference from the team behind QCon and InfoQ.com which is taking place in San Francisco, April 9-11, 2018, announced their conference tracks. The tracks have been developed by a committee of practitioners who create a vision for the conference tracks, shape the agenda, and identify speakers that can share their insights and knowledge to help software engineers apply AI and machine learning in their roles. The tracks announced today are:

  • Predictive Data Pipelines & Architectures: Best practices for building real-world data pipelines doing interesting things like predictions, recommender systems, fraud prevention, ranking systems, and more
  • Real-world Data Engineering: Showcasing DataEng tech and highlighting the strengths of each in real-world applications
  • ML in Action: Security & Risk: Applied Machine Learning track demonstrating how to train, score, and handle security and fraud use cases.
  • Deep Learning Applications & Practices: Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe across machine translation, computer vision
  • Handling Sequential Data Like an Expert (Half-Day): Discussing the complexities of time, including hyper loglog, count min sketch, and more
  • ML Applied to Operations (Half-Day): Machine Learning in the data center. Exploring topics like Dynamic rebalancing in Dataflow, Predictive auto-scaling, and fault prediction.
  • AI Meets the Physical World: AI use cases from drones to self-driving cars. The track where AI touches the physical world.

Conference Chair, software engineer and principal tech advisor, Wes Reisz, said: “I’m excited about this conference. AI and machine learning are changing and shaping the future of software. Traditionally, AI/ML has been the field for research and PhD level data scientists. But as tooling and libraries are becoming more available and approachable, that’s changing. More and more software engineers are applying AI/ML into their daily work. QCon.ai is the conference to help them understand when it makes sense to apply AI/ML.” Reisz continued: “The tracks have all been developed from the point of view of a software engineer, rather than a data scientist. By focusing on practitioners in our conferences, we aim to accelerate the software side of human technological progress to support innovation and early adoption of new software, technologies and practices.”

QCon.ai is a two day deep dive AI, machine learning and data engineering conference designed specifically for software engineers, architects, and technical managers. The conference and optional day of workshops are for technical engineers who want to uncover the real-world uses cases for applying artificial intelligence and machine learning in engineering but who may not come from a data science background.

Charles Humble, Editor in Chief, InfoQ.com said: “AI and machine learning are key emerging trends that have broad applicability in a whole range of industries. QCon.ai will be a practical, real-world event for software engineers, architects and technical managers who want to learn about the successes and use-cases for AI.”

For further information on the conference and to register a place, visit https://qcon.ai/

Media Contacts
Wesley Reisz
Principal Technical Advisor & Chair of QCon SF, NYC, & London
Host of The InfoQ Podcast
wes(at)c4media(dot)com

Ian Robins
Director of Marketing
ian(at)C4media(dot)com

About QCon.ai
QCon.ai is an applied AI and machine learning software development conference to help software engineers, architects, and technical managers better understand and apply AI and machine learning from a software engineering perspective rather than a data scientist’s. All speakers will be AI and machine learning practitioners.

Details at a glance:
Takes place April 9-11, 2018, Parc 55 - A Hilton Hotel, San Francisco, CA
Optional workshop - April 9, 2018
2 day conference - April 10-11, 2018
Applied Software Engineering Practices with Machine Learning / Artificial Intelligence
Conference with over 30 sessions across 2 days
1 day of optional workshops
Practitioners over evangelists
Never hidden marketing

About C4 Media
Software is changing the world. In 2006, Floyd Marinescu, along with Roxanne Beverstein, and Alex Popescu, saw a need for unbiased content and information in the enterprise development community. That's where we - with your help - stepped in. With a mission and passion for empowering developers, we founded C4Media to build a "community of communities created by the community and for the community." c4media.com

About QCon Conferences
QCon is a community-driven conference with over 100 speakers and thousands of influential, inspiring attendees driving innovation in software development. QCon conferences are meant to inspire with fresh ideas and connections with amazing people. Designed by practitioners who are solving the tough problems in leading companies, QCon features independent and unbiased content, techniques, and technologies that drive software development forward. https://qconferences.com/

About InfoQ
InfoQ content is currently published in English, Chinese, Japanese and Brazilian Portuguese. With a current readership base of over 1,200,000 unique visitors per month and growing, InfoQ's mission is to facilitate the spread of knowledge and innovation in enterprise software development. It is the software industry's leading community-based resource for practitioner-led education. We're passionate about what we do, and we thank you, our community of innovative practitioners and influencers, for your continued engagement, trust, and loyalty. https://www.infoq.com/

Share article on social media or email:

View article via:

Pdf Print

Contact Author

Ian Robins
C4 Media
+44 2032871127
Email >
Visit website