IBM AI Systems Day     


IBM AI Systems Day - AI Sys 2019

IBM AI Systems Day 2019


The 2019 AI Systems Day will be held at DR5 and 6 in the MIT Samberg Conference Center in Cambridge, MA. This is a one day event that will feature a keynote, several short conference-style talks, and opportunities to discuss current research and results in systems and AI. It is part of the AI Research Week hosted by the MIT-IBM Watson AI Lab. The event will be on Wednesday September 18, 2019. This year is featuring a special track for AutoAI.

This workshop builds on the success of last year’s AI Systems Day workshop targeting the intersection of machine learning and systems. As machine learning techniques rapidly grow in popularity, the design, implementation, and deployment of systems that enable machine learning applications also rapidly grow in importance. Machine learning also feeds back into systems research to provide novel techniques and approaches.  

This workshop has expanded this year to include two parallel tracks and a morning and afternoon session: AI Systems, AI Lifecycle Management, AutoAI Algorithms, and HCI for AutoAI. Topics of interest include both systems for AI and AI for systems, including but not limited to: AutoAI algorithms, HCI of AutoAI and AI, AI lifecycle management, AI platforms, AI programming languages, algorithm toolkits and frameworks, distributed learning, GPU processing, data visualization, AI lifecycle acceleration, AI application composition, automated ML and synthesis, HCI of AI, security and ethics, hardware for AI. 

Registration and Logistics:

Registration is free but required. To register please visit:


Call for Submissions:

We welcome all topics related to Systems and AI, and encourage all results, including preliminary work and progress reports. Presentation of work accepted or already appeared at some conference with proceedings are also welcome. Talks are about 10 minutes long. If you want to present your work, please submit a title and abstract (about 300 words). For this year we also have a special AutoAI track to submit to. 

Please submit at:


Program (Tentative):

  • 09:30-11:00 - Keynote Speakers
  • 11:00-11:30 - Coffee Break
  • 11:30-12:30 - Session 1
    • General Track
      • Evelyn Duesterwald, IBM (invited) - "Operationalizing the End-to-End Continuous AI Lifecycle"
      • Erik Altman, IBM - "Synthesizing Credit Card Data to Enable System Optimization"
      • Hao Wang, Harvard - "Ground Metric Learning for Earth Mover's Distance"
    • AutoAI Sub-Track
      • Horst Samulowitz, IBM Research - "AutoAI Research: Challenges and Opportunities"
      • Dakuo Wang, IBM Research - "User Experience @ IBM AutoAI
      • Tim Kraska and Emanuel Zgraggen, MIT, - "Northstar: An Interactive Data Science Platform"
  • 12:30-13:30 - Lunch On Your Own
  • 13:30-15:00 - Session 2
    • General Track
      • Vinod Muthusamy, IBM (invited) - "Gradient compression using matrix factorization for efficient distributed deep learning"
      • Emrah Akin Sisbot, IBM - "Cognitive IoT Systems via Adaptive Swarm Intelligence"
      • Erik Altman, IBM - "IBM and ML Commons Benchmark Consortium"
      • Seetharami Seelam, IBM - "Infrastructure Challenges and Solutions with AI training on Clouds."
      • Tomasz Kornuta (IBM) - "PyTorchPipe: a framework for rapid prototyping and training of computational pipelines combining language and vision"
    • AutoAI Sub-Track
      • Udayan Khurana, IBM Research - "Feature Engineering @ IBM AutoAI"
      • Zhangyang (Atlas) Wang, Texas A&M University - "AutoGAN: Extending AutoML to Generative Adversarial Networks"
      • Kiran Kate, IBM Research -"Type-Driven Automated Learning with LALE"
      • Zhongshen Zeng, IBM Research - "Learning from User Feedback ---- Toolkit for bandits and reinforcement learning"
      • Yannis Katsis, IBM Research - "Building Scalable Knowledge Intelligence with SystemT and SystemER"
  • 15:00-15:30 - Coffee Break
  • 15:30-17:00 - Session 3
    • General Track - AI Hardware Session
      • Jeffrey Burns, IBM (invited) - "AI Computing Architectures and Hardware"
      • Wilfried Haensch, IBM (invited) - "Analog Computation for Deep Learning – The interaction between hardware and Algorithms"
      • Sean Wagner, IBM - "Hardware accelerator for arbitrary low-precision quantized neural networks"
    • AutoAI Sub-Track
      • Sijia Liu, IBM Research, -"AutoML Pipeline Configuration via Operator Splitting Method"
      • Roque Lopez, NYU - "Automatically Synthesizing End-to-End Machine Learning Pipelines using Model-Based Reinforcement Learning"
      • Shubham Agarwal, IBM Research - "TraceHub - A Platform to bridge gap between State-Of-The-Art Time-Series Analytics and Datasets"
      • Erin LeDell, H2O.AI - "Scalable Automatic Machine Learning in H2O"

Important Dates:

  • Abstract submission: 4 September 2019
  • Decision: 9 September 2019
  • Registration: 16 September 2019
  • IBM AI Systems Day: 18 September 2019

Time and Location

DR5 and 6 of the MIT Samberg Conference Center in Cambridge, MA

  • 50 Memorial Dr, Cambridge, MA 02142
  • DR 5 and 6 are on the 6th floor. Registration is in front of the rooms.
  • Keynotes start at 9:30am in DR5
  • Event is expected to end at 5:00pm

Important dates

  • Abstract submission: 4 September 2019
  • Decision: 9 September 2019
  • Registration Deadline: 16 September 2019
  • IBM AI Systems Day: 18 September 2019