Sisu at the O’Reilly AI Conference San Jose:
Usable Machine Learning

By Grant Shirk - September 3, 2019

The full video of Peter Bailis’s talk at the O’Reilly AI conference is now available to view.


Next month, the brightest minds in machine learning, artificial intelligence, and advanced analytics are descending on San Jose, California for the 2019 O’Reilly Artificial Intelligence Conference. Perennially one of the top conferences in the field, the O’Reilly AI Conference is unique in its focus on bridging tech and business to “push the boundaries of AI” and transform industries.

We’re looking forward to the show and joining the discussion about how businesses can put their data to work more effectively – without having to hire highly specialized talent. If you’re headed to San Jose, we’d love to meet and learn how you’re tackling these very challenges.

Sisu at the O’Reilly AI Conference

There are multiple ways to engage with the Sisu team at the O’Reilly AI Conference, from our booth in the Expo Hall (#217) to an Executive Briefing on usable machine learning from our CEO Peter Bailis. Details below:

Expo Hall – Booth #217 If you want to see what’s new in the world of fast operational analytics, stop by Booth #217 for live demos, discussions, and new solutions to your toughest data questions. Come find out how we can make you and your analytics teams 10x more powerful and productive.

If you’d like to schedule a meeting with us, O’Reilly is facilitating face-to-face conversations at the show. Visit this link and request a conversation with Sisu, and they’ll take care of the rest. Or, just send us a note at [email protected].

Executive Briefing: Usable machine learning—Lessons from Stanford and beyond Next, on Wednesday September 11th at 2:35pm, stop by the AI Business Summit and hear Peter Bailis, Stanford Professor and Sisu CEO discuss Usable Machine Learning – Lessons from Stanford and Beyond.

In his presentation Peter will draw on his research and startup experience to examine:

  • Why deep networks aren’t a panacea for most organizations’ data
  • How usability and speed are the best path to better models, and
  • Why automating feature selection is more practical than AutoML

If you’re still considering attending the show, or just procrastinated on buying your passes yet, please use our discount code (Sisu20) for 20% off. Register here to get the discount.

See you at O’Reilly!

Read more

Three Takeaways from SysML 2019:
More Data, Better Tools, Accessible Models

Reflecting on the research and discussions at SysML 2019, program committee member Peter Bailis shares his observations on three emerging trends.

Read more

Three Inconvenient Truths about the State of Enterprise ML

Last week at TieCON 2019, Sisu CEO Peter Bailis challenged conventional wisdom around enterprise ML with three principles for making ML accessible to all.

Read more