Dynamic Talks: Redmond "Customer intelligence: a machine learning approach"

Are you going?

57 people going


Microsoft Building 20

3709 Microsoft Way · Redmond, WA

How to find us

We will have signage directing you to the correct room.

Location image of event venue


Come join us at the second event of our free technical meetup series, "Dynamic Talks", in Redmond! Enjoy a night of technical talks and networking opportunities at the Microsoft Building 20 - Reactor Wing!


[6:00pm - 6:20pm]: Guests arrive, pizza and drinks are served

[6:20pm - 7:00pm]: First talk will be presented by Ilya Katsov on “Customer intelligence: a machine learning approach”, followed by a Q&A

[7:00pm - 7:10pm]: Networking break

[7:10pm - 7:50pm]: Second talk will be presented by Anand Oka on "Customer Intelligence: learning methods in adversarial situations", followed by a Q&A

[7:50pm - 8:00pm]: Another networking break

[8:00pm - 8:40pm]: Third talk will be presented by Aaron Wroblewski on "Personalizing User Experiences: Beyond AB Testing", followed by a Q&A

[8:40pm - 9:00pm]: More networking, closing remarks, and the event ends

Ilya Katsov's talk details:

Title: "Customer intelligence: a machine learning approach"

Abstract: In this talk, we will discuss automatic decision-making and AI techniques for customer relationship management. First, we will present a methodology that helps to develop highly automated promotion and loyalty management systems. Next, we will walk through practical examples of how advanced customer and content signals can be generated using predictive models, and how optimization and reinforcement learning techniques can be used for targeting, budgeting, and pricing decisions.

About Ilya Katsov:

Ilya joined Grid Dynamics in 2009, and since then has been leading engagements with a number of major retail and technology companies. He is currently managing the Industrial AI consulting practice and is the author of several scientific articles and international patents, and also authored a book, “Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations” (2017).

Anand Oka's talk details:

Title: "Customer Intelligence: learning methods in adversarial situations"

Abstract: Digital transformation enables more enterprises to rely on bringing their services to the cloud. In this transformation enterprises depend heavily on customer intelligence to give better usage and experience to their users. While this is great for the economy, there are adversarial actors working hard to abuse the services from usage to commerce. In this talk, we’ll talk about few machine learning techniques and optimization methods to combat this situation while providing excellent service to legitimate users. Learn how at Microsoft, we protect our services serving billions of users learning on petabytes of data.

About Anand Oka:

Anand Oka is a Principal Group Program Manager in the Business Applications Group of Microsoft, where he drives innovative applications of connected customer knowledge and cutting-edge AI to solve challenges faced by enterprises who are making the Digital Transition, such as protection from Fraud and Abuse.

Aaron Wroblewski's talk details:

Title: "Personalizing User Experiences: Beyond AB Testing"

Abstract: In this talk, you’ll hear about what personalization problems Zillow is trying to solve with bandits and how they’ve been used in industry by companies like Yahoo, Amazon, and Netflix. You’ll hear about the pitfalls of a building a system like this one, and the tests, metrics and solutions that helped us avoid them. Finally, we’ll cover a case study example and share specifics of how we trained our machine learned model including the tools and the customer data we used, and share the results we achieved.

About Aaron Wroblewski:

Aaron Wroblewski is AI Engineering Lead for the Consumer Analytics team at Zillow Group, where he supports his team in building AI marketing automation. A product manager and engineer with 10+ years’ experience, Aaron is passionate about helping engineers, scientists, and business stakeholders work together to understand and personalize every step of customer journeys.