Day 2 - 14 November 2019

09:30AM

AI Technology Solutions: Chair’s Welcome and Opening Remarks

Hide Details

09:50AM

Keynote: The AI and ML landscape 

Hide Details

10:20AM

Chandra Khatri

Senior AI Research Scientist - Uber AI 

Uber

Associated Talks:

10:20AM - Day 2

View Holy Grail of AI: Building Open Domain Conversational AI Systems

View Full Info

Holy Grail of AI: Building Open Domain Conversational AI Systems

. Chandra Khatri, Senior AI Research Scientist - Uber AI , Uber
Hide Details
More Details

10:50AM

Case Study: Dasha.ai

To follow soon..

Hide Details
More Details

11:10AM

Networking Break

11:40AM

The new disruptor – combining artificial intelligence with AR and VR 

  • What is the potential of using AI for AR and VR? 
Hide Details
More Details

12:10PM

Ben Weber

Distinguished Data Scientist

Zynga

Associated Talks:

12:10PM - Day 2

View Automated Feature Engineering at Zynga

View Full Info

Automated Feature Engineering at Zynga

Zynga is a publisher for mobile gaming with studios located across the globe. We have a diverse portfolio of games and our data scientists need to be able to provide actionable insights across diverse event taxonomies. One of the challenges that we face is that we want to build data products that scale across our catalog of titles, while minimizing the amount of domain knowledge needed in order to build predictive models. An approach we use is automated feature engineering to solve a variety of use cases ranging from anomaly detection to propensity modeling to clustering.

This session will discuss how Zynga is leveraging recent machine learning libraries to take data products from prototype to production that scale across all of our titles. We are utilizing Python libraries to translate our data sets from narrow and deep to shallow and wide representations that empowers our data scientists to apply supervised and unsupervised learning methods. We’ll discuss how we’ve scaled up these libraries to work with massive datasets on PySpark using Pandas UDFs, and made feature generation an accessible tool for our analytics organization. The result of this infrastructure is that our data scientists are spending less time on developing models, and instead are focusing on using predictive models to improve our games and live services.

We’ll provide a deep dive into our modeling infrastructure and show how we translate our tracking data into a representation that powers segmentation, propensity, and anomaly modeling. Along the way, we’ll call out pitfalls that we encountered, issues we faced when scaling up these methods, and some takeaways that your organization can apply when leveraging automated feature engineering.

. Ben Weber, Distinguished Data Scientist, Zynga
Hide Details
More Details

12:40PM

Networking Break

02:00PM

Designing ethical AI systems without bias 

 

  • How can we design ML techniques and algorithms without bias and discrimination?
  • Who is accountable? The tech community, Governments? 
  • How do humans stay in control and stop the machines from taking over? 
Hide Details
More Details

02:30PM

Etienne Bernard

Machine Learning Lead Architect

Wolfram

Associated Talks:

02:30PM - Day 2

View Automatic Machine Learning & Symbolic Neural Networks in the Wolfram Language

View Full Info

Automatic Machine Learning & Symbolic Neural Networks in the Wolfram Language

To follow soon…

. Etienne Bernard, Machine Learning Lead Architect, Wolfram
Hide Details
More Details

03:00PM

Pengyu Hou

Software Engineer

Airbnb

Associated Talks:

03:00PM - Day 2

View Case Study: Airbnb

View Full Info

Nikhil Simha

Software Engineer

Airbnb

Associated Talks:

03:00PM - Day 2

View Case Study: Airbnb

View Full Info

Case Study: Airbnb

To follow soon…

. Pengyu Hou, Software Engineer, Airbnb
. Nikhil Simha, Software Engineer , Airbnb
Hide Details
More Details

03:30PM

Scott Shadley

VP Marketing

NGD Systems, Inc.

Associated Talks:

03:30PM - Day 2

View Case Study: NGD Systems, Inc.

View Full Info

Case Study: NGD Systems, Inc.

To follow soon…

. Scott Shadley, VP Marketing, NGD Systems, Inc.
Hide Details
More Details

03:50PM

Session Close

Powered by WishList Member - Membership Software