Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

Schedule: Interacting with AI sessions

1:40pm–5:10pm Monday, April 30, 2018
Location: Sutton South
Greg Werner (3Blades), N C
Average rating: ****.
(4.00, 2 ratings)
Greg Werner walks you through using MXNet and TensorFlow to train deep learning models and deploy them using the leading serverless compute services in the market: AWS Lambda, Google Cloud Functions, and Azure Functions. You'll also learn how to monitor and iterate upon trained models for continued success using standard development and operations tools. Read more.
11:05am–11:45am Tuesday, May 1, 2018
Location: Nassau East/West
Scott Zoldi (FICO)
Average rating: ****.
(4.75, 4 ratings)
Scott Zoldi discusses innovations in explainable AI, such as Reason Reporter, which explains the workings of neural network models used to detect fraudulent payment card transactions in real time, and offers a comparative study with local interpretable model-agnostic explanations (LIME) that demonstrates why the former are better at providing explanations. Read more.
1:45pm–2:25pm Tuesday, May 1, 2018
Location: Nassau East/West
Aurélien Géron (Kiwisoft)
Average rating: ***..
(3.83, 6 ratings)
The stock market is well known to be extremely random, making investment decisions difficult, but deep learning can help. Drawing on a concrete financial use case, Aurélien Géron explains how LSTM networks can be used for forecasting. Read more.
4:00pm–4:40pm Tuesday, May 1, 2018
Location: Concourse A
Joshua Patterson (NVIDIA), Aaron Sant-Miller (Booz Allen Hamilton)
Average rating: *****
(5.00, 1 rating)
Drawing on NVIDIA’s system for detecting anomalies on various NVIDIA platforms, Joshua Patterson and Aaron Sant-Miller explain how to bootstrap a deep learning framework to detect risk and threats in operational production systems, using best-of-breed GPU-accelerated open source tools. Read more.
4:50pm–5:30pm Tuesday, May 1, 2018
Location: Grand Ballroom West
David C Martin (IBM Watson)
David Martin explores cognitive function in conjunction with edge computing and IoT sensors and actuators for eldercare scenarios—specifically the identification of individuals, daily activity monitoring, and aberration detection performed on-premises using HomeAssistant, the Intu open source project, and IBM's Watson cognitive services. Read more.
4:50pm–5:30pm Tuesday, May 1, 2018
Location: Sutton North/Center
Chris Benson (Practical AI)
Average rating: ***..
(3.00, 2 ratings)
Deep learning is the driving force behind the current AI revolution and will impact every industry on the planet. However, success requires an AI strategy. Chris Benson walks you through creating a strategy for delivering deep learning into production and explores how deep learning is integrated into a modern enterprise architecture. Read more.
4:50pm–5:30pm Tuesday, May 1, 2018
Location: Nassau East/West
Average rating: ****.
(4.00, 2 ratings)
Historically, the consumer loan industry has restricted itself to using relatively simple machine learning models and techniques to accept or deny loan applicants. However, more powerful (but also more complicated) methods can significantly improve business outcomes. Sean Kamkar shares a framework for evaluating, explaining, and managing these more complex methods. Read more.
11:55am–12:35pm Wednesday, May 2, 2018
Location: Grand Ballroom West
Tim Kraska (MIT)
Average rating: *****
(5.00, 2 ratings)
Tim Kraska explains how fundamental data structures can be enhanced using machine learning with wide-reaching implications even beyond indexes, arguing that all existing index structures can be replaced with other types of models, including deep learning models (i.e., learned indexes). Read more.
11:55am–12:35pm Wednesday, May 2, 2018
Location: Concourse A
Andrew Ilyas (Massachusetts Institute of Technology), Logan Engstrom (Massachusetts Institute of Technology), Anish Athalye (Massachusetts Institute of Technology)
Average rating: *****
(5.00, 2 ratings)
Andrew Ilyas, Logan Engstrom, and Anish Athalye share an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at. Read more.
1:45pm–2:25pm Wednesday, May 2, 2018
Location: Concourse A
Kaz Sato (Google)
Average rating: ****.
(4.00, 2 ratings)
TensorFlow Lite—TensorFlow’s lightweight solution for Android, iOS, and embedded devices—enables on-device machine learning inference with low latency and a small binary size. Kazunori Sato walks you through using TensorFlow Lite, helping you overcome the challenges to bring the latest AI technology to production mobile apps and embedded systems. Read more.
2:35pm–3:15pm Wednesday, May 2, 2018
Location: Morgan
Dr. Sid J. Reddy (Conversica)
Sid Reddy shares Conversica's artificial intelligence approach to creating, deploying, and continuously improving an automated sales assistant that engages in a genuinely human conversation at scale with every one of an organization’s sales leads. Read more.
4:00pm–4:40pm Wednesday, May 2, 2018
Location: Regent Parlor
Emily Pavlini (Diffeo), Max Kleiman-Weiner (Diffeo)
Recent advances have made machines more autonomous, but much work remains for AI to collaborate with people. Emily Pavlini and Max Kleiman-Weiner share new insights inspired by the way humans accumulate knowledge and naturally work together that enable machines and people to work and learn as a team, discovering new knowledge in unstructured natural language content together. Read more.
4:00pm–4:40pm Wednesday, May 2, 2018
Location: Nassau East/West
Pramit Choudhary (h2o.ai)
Average rating: ****.
(4.67, 3 ratings)
Predicting the target label for computer vision machine learning problems is not enough. You must also understand the why, what, and how of the categorization process. Pramit Choudhary offers an overview of ways to faithfully interpret and evaluate deep neural network models, including CNN image models to understand the impact of salient features in driving categorization. Read more.
4:50pm–5:30pm Wednesday, May 2, 2018
Location: Regent Parlor
Ian Beaver (Verint), Cynthia Freeman (Next IT)
Average rating: ****.
(4.60, 5 ratings)
Conversation is emerging as the next great human-machine interface. Ian Beaver and Cynthia Freeman outline the challenges faced by the AI industry to relate to humans in the way they relate to each other and highlight findings from a recent study to demonstrate relational strategies used by humans in conversation and explain how virtual assistants must evolve to communicate effectively. Read more.