02:10

Cognitive biases in the architect's life, Birgitta Boeckeler (ThoughtWorks)

03:14

My love letter to computer science is very short, James Mickens (Harvard University)

03:11

Controlled chaos: The inevitable marriage of DevOps and security, Kelly Shortridge (Capsule8)

02:30

The three-headed dog: Architecture, process, structure, Allen Holub (Holub Associates)

09:37

Reliability is the most important feature of any product with Lyon Wong and Ashar Rizqi (Blameless)

07:17

The challenge of deploying ML in a real-world environment with Craig Wiley (Google)

06:28

How do I start with Kubernetes in the enterprise with Karthik Gaekwad (Oracle Cloud Infrastructure)

11:27

Developing capabilities to cope with the new trends in software architecture with Haiyun Xu (SIG)

08:08

Understanding the wholistic reach and scope of data with Roland Scharrer (AXA)

10:17

Building AI trust for healthcare and clinical industries with Asif Hasan (Quantiphi)

05:40

How do we improve and integrate AI in the enterprise with Fred Reiss (IBM)

07:07

Deep learning to operationalize infrastructure with Prasad Vellanki (One Convergence)

17:08

Harnessing and fine-tuning open source ML training models with Al Kari (Manceps)

11:37

Curating machine learning services and models to enable faster adoption with Ujval Kapasi (NVIDIA)

10:42

Creating a visual interface for machine learning with Martin and Robert (PerceptiLabs)

10:02

MLIR: Accelerating AI - Chris Lattner and Tatiana Shpeisman

08:52

Personalization of Spotify Home and TensorFlow - Tony Jebara

07:49

TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow - Mike Liang

09:37

“Human Error”: How can we help people build models that do what they expect - Anna Roth

05:53

Sticker recommendation and AI-driven Innovations on Hike messaging platform - Ankur Narang

13:18

TensorFlow community announcements - Kemal El Moujahid

10:11

Enterprise-ready TensorFlow in the Cloud (sponsored by Google Cloud Platform) - Craig Wiley

05:22

TensorFlow, open source, and IBM (sponsored by IBM) - Frederick Reiss

05:22

Accelerating TensorFlow for research and deployment (sponsored by NVIDIA) - Ujval Kapasi

03:28

AI isn't magic. It’s Computer Science. - Robert Thomas (IBM), Tim O'Reilly (O'Reilly Media)

10:36

Accelerating ML at Twitter - Theodore Summe

12:34

TFX: An end-to-end ML platform for everyone - Konstantinos Katsiapis and Anusha Ramesh

12:08

The latest from TensorFlow - Megan Kacholia

14:27

TensorFlow Lite: ML for mobile and IoT devices - Sarah Sirajuddin and Jared Duke

15:52

TensorFlow.js: Bringing machine learning to JavaScript - Sandeep Gupta and Joseph Paul Cohen

25:45

Opening keynote - Jeff Dean

04:37

Large-scale machine learning at Facebook, Kim Hazelwood (Facebook), Mohamed Fawzy (Facebook)

09:45

Inference chips running multi-model, parallel, low-watt solutions, with Alexis Crowell (Intel AI)

07:00

Tackling security, infrastructure, hardware for a better AI, with Thomas Henson (Dell EMC)

06:41

Solving our struggles in the new and complex world of data management, with Siva Sivakumar (Cisco)

05:41

Transitioning AI from the lab to real-life applications, with Diana Shaw (SAS)

11:02

Unlocking the full value of your data with operational analytics, ML & AI -- Peter Guagenti (MemSQL)

14:05

Reinforcement learning and it's growing role in AI, with Edward Jezierski (Microsoft)

10:12

The future of Google Cloud data processing (sponsored by Google Cloud) - James Malone (Google)

07:02

Advancing your business with enterprise data cloud, with Anupam Singh (Cloudera)

05:20

Unleash the Power of Data at Scale (sponsored by Intel) - Jeremy Rader (Intel)

06:04

Intel’s shift to delivering end-to-end data solutions, with Jeremy Rader (Intel)

09:21

Unlocking the value of your data (sponsored by IBM) - Daniel Hernandez (IBM)

03:51

Data Science Pioneers (sponsored by Dataiku) - Jed Dougherty (Dataiku)

07:31

Considerations for producing the best AI and Machine Learning models, with Jed Dougherty (Dataiku)

04:31

How to unlock the full potential of your operational data (sponsored by MemSQL) - Nikita Shamgunov

18:31

The AI Ladder, Tim O’Reilly and Roger Magoulas talk with IBM’s Rob Thomas about his report.

09:33

The game-changing future for Data and AI, with Madhu Kochar (IBM)

00:53

Zero to ML hero with TensorFlow 2.0 - Laurence Moroney (Google)

01:59

Strata Data Awards: Winners Announced

03:29

Designing for humanlike interaction - Jonathan Foster (Microsoft)

08:05

Leveraging data insights to increase efficiency and innovation, with Rohit Mahajan (Io-Tahoe)

12:48

Reinforcement learning and it's growing role in AI, with Edward Jezierski (Microsoft)

02:43

Staying safe in the AI era - Cassie Kozyrkov (Google)

05:40

RL in real life: Bringing reinforcement learning to the enterprise - Edward Jezierski (Microsoft)

12:04

How Disruptive Tech is Reshaping the Financial Services Industry - Swatee Singh (American Express)

11:59

How Disruptive Tech is Reshaping the Financial Services Industry - Swatee Singh (American Express)

04:10

Interactive Sports Analytics - Patrick Lucey (Stats Perform)

03:38

Data Sonification: Making Music from the yield curve - Alan Smith (Financial Times)

20:40

AI isn't magic. It’s computer science. Robert Thomas (IBM), Tim O'Reilly (O'Reilly Media)