Presented By
O’Reilly + Intel AI
Put AI to Work
Sep 9-12, 2019
San Jose, CA
Organizations that successfully apply AI innovate and compete more effectively. Make plans to join us at the AI Conference and chart your business transformation.

Monday, 09/09/2019

8:00am

8:00am–9:00am Monday, 09/09/2019
Location: TBD
Morning Coffee (1h)

9:00am

9:00am–5:00pm Monday, 09/09/2019
Training
Location: 231 B
TBC
Add to your personal schedule
9:00am–5:00pm Monday, 09/09/2019
Training
Location: LL21 E
Rich Ott (The Data Incubator)
PyTorch is a machine learning library for Python that allows users to build deep neural networks with great flexibility. Its easy to use API and seamless use of GPUs make it a sought after tool for deep learning. This course will introduce the PyTorch workflow and demonstrate how to use it. Students will be equipped with the knowledge to build deep learning models using real-world datasets. Read more.
Add to your personal schedule
9:00am–5:00pm Monday, 09/09/2019
Training
Location: LL21 F
Delip Rao (R7 Speech Science)
Delip Rao explores natural language processing with deep learning, walking you through neural network architectures and NLP tasks and teaching you how to apply these architectures for those tasks. Read more.
Add to your personal schedule
9:00am–5:00pm Monday, 09/09/2019
Training
Location: 111
Robert Schroll (The Data Incubator)
The TensorFlow library provides for the use of computational graphs, with automatic parallelization across resources. This architecture is ideal for implementing neural networks. This training will introduce TensorFlow's capabilities in Python. It will move from building machine learning algorithms piece by piece to using the Keras API provided by TensorFlow with several hands-on applications. Read more.
Add to your personal schedule
9:00am–5:00pm Monday, 09/09/2019
Training
Location: 114
Dylan Bargteil (The Data Incubator), Michael Li (The Data Incubator)
This course is a non-technical overview of AI and data science. You’ll learn common techniques, how to apply them in your organization, and common pitfalls to avoid. Though this course, you’ll pick up the language and develop a framework to be able to effectively engage with technical experts and utilize their input and analysis for your business’s strategic priorities and decision making. Read more.
Add to your personal schedule
9:00am–5:00pm Monday, 09/09/2019
Training
Location: Market
Amir Issaei (Databricks)
The course covers the fundamentals of neural networks and how to build distributed Keras/TensorFlow models on top of Spark DataFrames. Throughout the class, you will use Keras, TensorFlow, Deep Learning Pipelines, and Horovod to build and tune models. You will also use MLflow to track experiments and manage the machine learning lifecycle. NOTE: This course is taught entirely in Python. Read more.

10:30am

10:30am–11:00am Monday, 09/09/2019
Location: TBD
Morning Break (30m)

12:30pm

12:30pm–1:30pm Monday, 09/09/2019
Location: TBD
Lunch (1h)

3:00pm

3:00pm–3:30pm Monday, 09/09/2019
Location: TBD
Afternoon Break (30m)

Tuesday, 09/10/2019

8:00am

8:00am–9:00am Tuesday, 09/10/2019
Location: TBD
Morning Coffee (1h)

9:00am

Add to your personal schedule
9:00am–12:30pm Tuesday, 09/10/2019
Tutorial
Executive Briefing/Best Practices
Location: 230 A
Ira Cohen (Anodot)
The goal of the tutorial is to learn and experience what it takes to be a manage machine learning (ML ) based products. In the tutorial we will go through the cycle of developing machine learning based capabilities (or entire products) and the role of the (product) manager in each step of the cycle. Read more.
Add to your personal schedule
9:00am–5:00pm Tuesday, 09/10/2019
Kristian Hammond (Northwestern Computer Science)
Even as AI technologies move into common use, many enterprise decision makers remain baffled about what the different technologies actually do and how they can be integrated into their businesses. Rather than focusing on the technologies alone, Kristian Hammond provides a practical framework for understanding your role in problem solving and decision making. Read more.
Add to your personal schedule
9:00am–12:30pm Tuesday, 09/10/2019
Tutorial
Models and Methods
Location: 230 C
Lukas Biewald (CrowdFlower)
Introduction to building and deploying LSTMs, GRUs and other text classification techniques using Keras and Scikit Learn. Read more.
Add to your personal schedule
9:00am–12:30pm Tuesday, 09/10/2019
Tutorial
Implementing AI
Location: LL21 A/B
In this workshop, you will get hands-on experience in developing intelligent AI assistants based entirely on machine learning and using only open source tools - Rasa NLU and Rasa Core. You will learn the fundamentals of conversational AI and the best practices of developing AI assistants that scale and learn from real conversational data. Read more.
Add to your personal schedule
9:00am–12:30pm Tuesday, 09/10/2019
Skyler Thomas (MapR)
The popular open source Kubeflow project is one of the best ways to start doing machine learning and AI on top of Kubernetes. However, Kubeflow is a huge project with dozens of large complex components. In this hands-on session, we will learn about the Kubeflow components and how they interact with Kubernetes. We explore the machine learning lifecycle from model training to model serving. Read more.
Add to your personal schedule
9:00am–12:30pm Tuesday, 09/10/2019
Tutorial
Interacting with AI
Location: Almaden Ballroom
Jason Dai (Intel), Yuhao Yang (Intel), Jennie Wang (Intel), Guoqiong Song (Intel)
Jason Dai, Yuhao Yang, Jennie Wang, and Guoqiong Song explain how to build and productionize deep learning applications for big data with Analytics Zoo—a unified analytics and AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline—using real-world use cases from JD.com, MLSListings, the World Bank, Baosight, and Midea/KUKA. Read more.

10:30am

10:30am–11:00am Tuesday, 09/10/2019
Location: TBD
Morning Break (30m)

12:30pm

12:30pm–1:30pm Tuesday, 09/10/2019
Location: TBD
Lunch (1h)

1:30pm

Add to your personal schedule
1:30pm–5:00pm Tuesday, 09/10/2019
Tutorial
Impact of AI on Business and Society
Location: 230 A
Chris Butler (IPSoft)
Purpose, a well-defined problem, and trust from people are important factors to any system, especially those that employ AI. Chris Butler leads you through exercises that borrow from the principles of design thinking to help you create more impactful solutions and better team alignment. Read more.
Add to your personal schedule
1:30pm–5:00pm Tuesday, 09/10/2019
Tutorial
Location: 230 C
Mo Patel (Independent)
This tutorial will focus on all aspects of the PyTorch lifecycle via hand on examples such as image classification, text classification, and linear modeling. Other aspects of machine learning such as transfer learning, data modeling and deploying to production will be covered via immersive labs. Read more.
Add to your personal schedule
1:30pm–5:00pm Tuesday, 09/10/2019
Tutorial
Implementing AI, Models and Methods
Location: LL21 A/B
Neil Conway (Determined AI), Yoav Zimmerman (Determined AI)
Success with deep learning requires understanding more than just TensorFlow or Keras. In this tutorial, we will describe a range of practical problems faced by DL practitioners and the software tools and techniques needed to address them, including data prep/augmentation, GPU scheduling, hyperparameter tuning, distributed training, metrics management, deployment, and mobile/edge optimization. Read more.
Add to your personal schedule
1:30pm–5:00pm Tuesday, 09/10/2019
Tutorial
Implementing AI
Location: LL21 C/D
Boris Lublinsky (Lightbend), Dean Wampler (Lightbend)
This hands-on tutorial examines production use of ML in streaming data pipelines; how to do periodic model retraining and low-latency scoring in live streams. We'll discuss Kafka as the data backplane, pros and cons of microservices vs. systems like Spark and Flink, tips for Tensorflow and SparkML, performance considerations, model metadata tracking, and other techniques. Read more.
Add to your personal schedule
1:30pm–5:00pm Tuesday, 09/10/2019
Tutorial
Implementing AI
Location: Almaden Ballroom
Robert Nishihara (UC Berkeley), Philipp Moritz (UC Berkeley), Ion Stoica (UC Berkeley)
Ray is a general purpose framework for programming your cluster. We will lead a deep dive into Ray, walking you through its API and system architecture and sharing application examples, including several state-of-the-art AI algorithms. Read more.

3:00pm

3:00pm–3:30pm Tuesday, 09/10/2019
Location: TBD
Afternoon Break (30m)

Wednesday, 09/11/2019

8:00am

8:00am–9:00am Wednesday, 09/11/2019
Location: Hall 2 Foyer
Morning Coffee (1h)

10:35am

10:35am–11:05am Wednesday, 09/11/2019
Location: Expo Hall
Morning Break (30m)

11:05am

11:05am–11:45am Wednesday, 09/11/2019
Location: 230 C
TBC
11:05am–11:45am Wednesday, 09/11/2019
Location: LL21 A/B
TBC
11:05am–11:45am Wednesday, 09/11/2019
Location: LL21 C/D
TBC
11:05am–11:45am Wednesday, 09/11/2019
Location: Almaden Ballroom
TBC
11:05am–11:45am Wednesday, 09/11/2019
Location: Expo Hall 3
TBC
11:05am–11:45am Wednesday, 09/11/2019
Location: 230 A/B
TBC
11:05am–11:45am Wednesday, 09/11/2019
Location: LL21 E
TBC

11:55am

11:55am–12:35pm Wednesday, 09/11/2019
Location: 230 C
TBC
11:55am–12:35pm Wednesday, 09/11/2019
Location: LL21 A/B
TBC
11:55am–12:35pm Wednesday, 09/11/2019
Location: LL21 C/D
TBC
11:55am–12:35pm Wednesday, 09/11/2019
Location: Almaden Ballroom
TBC
11:55am–12:35pm Wednesday, 09/11/2019
Location: Expo Hall 3
TBC
11:55am–12:35pm Wednesday, 09/11/2019
Location: 230 A/B
TBC
11:55am–12:35pm Wednesday, 09/11/2019
Location: LL21 E
TBC

12:35pm

12:35pm–1:45pm Wednesday, 09/11/2019
Location: Expo Hall
Lunch (1h 10m)

1:45pm

1:45pm–2:25pm Wednesday, 09/11/2019
Location: 230 C
TBC
1:45pm–2:25pm Wednesday, 09/11/2019
Location: LL21 A/B
TBC
1:45pm–2:25pm Wednesday, 09/11/2019
Location: LL21 C/D
TBC
1:45pm–2:25pm Wednesday, 09/11/2019
Location: Almaden Ballroom
TBC
1:45pm–2:25pm Wednesday, 09/11/2019
Location: Expo Hall 3
TBC
1:45pm–2:25pm Wednesday, 09/11/2019
Location: 230 A/B
TBC
1:45pm–2:25pm Wednesday, 09/11/2019
Location: LL21 E
TBC

2:35pm

2:35pm–3:15pm Wednesday, 09/11/2019
Location: 230 C
TBC
2:35pm–3:15pm Wednesday, 09/11/2019
Location: LL21 A/B
TBC
2:35pm–3:15pm Wednesday, 09/11/2019
Location: LL21 C/D
TBC
2:35pm–3:15pm Wednesday, 09/11/2019
Location: Almaden Ballroom
TBC
2:35pm–3:15pm Wednesday, 09/11/2019
Location: Expo Hall 3
TBC
2:35pm–3:15pm Wednesday, 09/11/2019
Location: 230 A/B
TBC
2:35pm–3:15pm Wednesday, 09/11/2019
Location: LL21 E
TBC

3:15pm

3:15pm–4:00pm Wednesday, 09/11/2019
Location: Expo Hall
Afternoon Break (45m)

4:00pm

4:00pm–4:40pm Wednesday, 09/11/2019
Location: 230 C
TBC
4:00pm–4:40pm Wednesday, 09/11/2019
Location: LL21 A/B
TBC
4:00pm–4:40pm Wednesday, 09/11/2019
Location: LL21 C/D
TBC
4:00pm–4:40pm Wednesday, 09/11/2019
Location: Almaden Ballroom
TBC
4:00pm–4:40pm Wednesday, 09/11/2019
Location: Expo Hall 3
TBC
4:00pm–4:40pm Wednesday, 09/11/2019
Location: 230 A/B
TBC
4:00pm–4:40pm Wednesday, 09/11/2019
Location: LL21 E
TBC

4:50pm

4:50pm–5:30pm Wednesday, 09/11/2019
Location: 230 C
TBC
4:50pm–5:30pm Wednesday, 09/11/2019
Location: LL21 A/B
TBC
4:50pm–5:30pm Wednesday, 09/11/2019
Location: LL21 C/D
TBC
4:50pm–5:30pm Wednesday, 09/11/2019
Location: Almaden Ballroom
TBC
4:50pm–5:30pm Wednesday, 09/11/2019
Location: Expo Hall 3
TBC
4:50pm–5:30pm Wednesday, 09/11/2019
Location: 230 A/B
TBC
4:50pm–5:30pm Wednesday, 09/11/2019
Location: LL21 E
TBC

Thursday, 09/12/2019

8:00am

8:00am–9:00am Thursday, 09/12/2019
Location: Hall 2 Foyer
Morning Coffee (1h)

10:35am

10:35am–11:05am Thursday, 09/12/2019
Location: Expo Hall
Morning Break (30m)

11:10am

11:10am–11:50am Thursday, 09/12/2019
Location: 230 C
TBC
11:10am–11:50am Thursday, 09/12/2019
Location: LL21 A/B
TBC
11:10am–11:50am Thursday, 09/12/2019
Location: LL21 C/D
TBC
11:10am–11:50am Thursday, 09/12/2019
Location: Almaden Ballroom
TBC
11:10am–11:50am Thursday, 09/12/2019
Location: Expo Hall 3
TBC
11:10am–11:50am Thursday, 09/12/2019
Location: 230 A/B
TBC
11:10am–11:50am Thursday, 09/12/2019
Location: LL21 E
TBC

11:55am

11:55am–12:35pm Thursday, 09/12/2019
Location: 230 C
TBC
11:55am–12:35pm Thursday, 09/12/2019
Location: LL21 A/B
TBC
11:55am–12:35pm Thursday, 09/12/2019
Location: LL21 C/D
TBC
11:55am–12:35pm Thursday, 09/12/2019
Location: Almaden Ballroom
TBC
11:55am–12:35pm Thursday, 09/12/2019
Location: Expo Hall 3
TBC
11:55am–12:35pm Thursday, 09/12/2019
Location: 230 A/B
TBC
11:55am–12:35pm Thursday, 09/12/2019
Location: LL21 E
TBC

12:35pm

12:35pm–1:45pm Thursday, 09/12/2019
Location: Expo Hall
Lunch (1h 10m)

1:45pm

1:45pm–2:25pm Thursday, 09/12/2019
Location: 230 C
TBC
1:45pm–2:25pm Thursday, 09/12/2019
Location: LL21 A/B
TBC
1:45pm–2:25pm Thursday, 09/12/2019
Location: LL21 C/D
TBC
1:45pm–2:25pm Thursday, 09/12/2019
Location: Almaden Ballroom
TBC
1:45pm–2:25pm Thursday, 09/12/2019
Location: Expo Hall 3
TBC
1:45pm–2:25pm Thursday, 09/12/2019
Location: 230 A/B
TBC
1:45pm–2:25pm Thursday, 09/12/2019
Location: LL21 E
TBC

2:35pm

2:35pm–3:15pm Thursday, 09/12/2019
Location: 230 C
TBC
2:35pm–3:15pm Thursday, 09/12/2019
Location: LL21 A/B
TBC
2:35pm–3:15pm Thursday, 09/12/2019
Location: LL21 C/D
TBC
2:35pm–3:15pm Thursday, 09/12/2019
Location: Almaden Ballroom
TBC
2:35pm–3:15pm Thursday, 09/12/2019
Location: Expo Hall 3
TBC
2:35pm–3:15pm Thursday, 09/12/2019
Location: 230 A/B
TBC
2:35pm–3:15pm Thursday, 09/12/2019
Location: LL21 E
TBC

3:15pm

3:15pm–4:00pm Thursday, 09/12/2019
Location: Expo Hall
Afternoon Break (45m)

4:00pm

4:00pm–4:40pm Thursday, 09/12/2019
Location: 230 C
TBC
4:00pm–4:40pm Thursday, 09/12/2019
Location: LL21 A/B
TBC
4:00pm–4:40pm Thursday, 09/12/2019
Location: LL21 C/D
TBC
4:00pm–4:40pm Thursday, 09/12/2019
Location: Almaden Ballroom
TBC
4:00pm–4:40pm Thursday, 09/12/2019
Location: Expo Hall 3
TBC
4:00pm–4:40pm Thursday, 09/12/2019
Location: 230 A/B
TBC
4:00pm–4:40pm Thursday, 09/12/2019
Location: LL21 E
TBC

4:50pm

4:50pm–5:30pm Thursday, 09/12/2019
Location: 230 C
TBC
4:50pm–5:30pm Thursday, 09/12/2019
Location: LL21 A/B
TBC
4:50pm–5:30pm Thursday, 09/12/2019
Location: LL21 C/D
TBC
4:50pm–5:30pm Thursday, 09/12/2019
Location: Almaden Ballroom
TBC
4:50pm–5:30pm Thursday, 09/12/2019
Location: Expo Hall 3
TBC
4:50pm–5:30pm Thursday, 09/12/2019
Location: 230 A/B
TBC
4:50pm–5:30pm Thursday, 09/12/2019
Location: LL21 E
TBC