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EVENT DETAILS |
Come join us at the second event of our free technical meetup series, "Dynamic Talks", in San Francisco!Topic: Contextual recommendation & next best action modelsThe first talk will be given by Ilya Katsov, Head of Practice, Industrial AI at Grid Dynamics, & will be about decision automation in marketing systems using reinforcement learning.The second talk will be given by Pallav Agrawal, Director of Data Science at Levi's, & will be about realtime contextual product recommendations that scale & generate revenue. The third talk will be given by Madhura Dudhgaonkar, Senior Director, Machine Learning Products at Workday, & will be about machine learning services - how to begin, & when do you start scaling? Come enjoy a night of technical talks & networking opportunities at the Microsoft Reactor space in San Francisco. We hope to see you there!Agenda
[6:00pm - 6:20pm]: Guests arrive, pizza & drinks are served
[6:20pm - 7:00pm]: First talk will be presented byIlya Katsov on"Decision Automation in Marketing Systems using Reinforcement Learning", followed by a Q&A
[7:00pm - 7:10pm]: Networking break
[7:10pm - 7:50pm]: Second talk will be presented by Pallav Agrawal on "Realtime Contextual Product Recommendations...that scale & generate revenue", followed by a Q&A
[7:50pm - 8:00pm]: Networking break
[8:00pm - 8:40pm] Third talk will be presented by Madhura Dudhgaonkar on "ML Services - How do you begin & when do you start scaling?", followed by a Q&A
[8:40pm - 9:00pm] More networking time, closing remarks & the event ends
Ilya Katsov's talk details:
Title:"Decision Automation in Marketing Systems using Reinforcement Learning"
Abstract:In this talk, we will discuss automatic decision-making & AI techniques for customer relationship management. First, we will present a methodology that helps to develop highly automated promotion & loyalty management systems. Next, we will walk through practical examples of how predictive models can be used to characterize customer intent, & how optimization & reinforcement learning techniques can be used to build next best action models that incorporate targeting, budgeting, & pricing decisions.
About Ilya Katsov:
Ilya joined Grid Dynamics in 2009, & since then has been leading engagements with a number of major retail & technology companies, focusing primarily on Big Data, Machine Learning, & Economic Modeling. He is currently managing the Industrial AI consulting practice that helps clients become successful AI adopters & deliver innovative AI solutions. He is the author of several scientific articles & international patents, & also authored a book, Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations (2017).
Pallav Agrawal's talk details:
Title: "Realtime Contextual Product Recommendationsthat scale & generate revenue"
Abstract:Recommendation systems are all around us. E-commerce companies like Amazon recommend products we are likely to buy based on our browsing behavior. Netflix suggests what shows we should watch based on our binging habits. Spotify builds a personalized playlist we would enjoy listening to, based on their understanding of what musical genre we are into.
In this talk, we will explore recent advances in the area of product recommendations in both research & practice. We will see how machine learning, design thinking & solid data engineering principles are combined to create an engaging customer experience that positively impacts the bottom line.
We will look at how we use various deep learning architectures to obtain image & text embeddings that supplement user & product based features to generate product recommendations that align closely with a consumer's aesthetic preferences.
The talk would be of interest to data scientists, data engineers, product managers, UX designers & anyone interested in machine learning.
About Pallav Agrawal:
During the daytime, Pallav works as a Data Scientist & tries to extract meaningful signals from the noisy world we live in. As the moon rises & evening sets in, all bets are off & one might find Pallav on his bike riding through the Berkeley hills in bright colored lycra or performing never-before-scenes of Dramedy with his Improv troupe.
Pallav is a part-time Human Centered Design Thinking coach & has helped non-profits & early-age startups develop clarity on their mission & recognize growth areas. He moved to the Bay Area in 2010, & somehow managed to acquire a Masters in Structural Engineering after spending two years actually learning how to think.
He is an avid follower of Seth Godin, Ken Robinson, & Nicholas Taleb, & is currently looking at ways to explain algorithms through cute, anthropomorphized animals.
Madhura Dudhgaonkar's talk details:
Title:ML Services - How do you begin & when do you start scaling?
Abstract:So you have heard all the hype around how Machine Learning is going to change the world. But within your business context, where do you start? How do you get leadership buy-in for investment? And how & when you start scaling your ML Services?
In this session, you will walk away with an actionable framework to bootstrap & scale a machine learning services team. You will see the framework in action through an actual 0 to 1 product journey involving deep learning where we delivered value in record speed in-spite of not having a dataset when we started. You will get practical tips on how to make decisions about when & how to scale your capability to scale ML Services & platform. Some of the tips are pretty counterintuitive & revealed themselves with our experience of productizing ML services over the last 5+ years. (Using a diverse range of technologies - Vision, Language, Graph, Anomaly Detection, Search Relevance, Personalization)
About Madhura Dudhgaonkar:
Madhura Dudhgaonkar is a Machine Learning Product Leader at Workday who is passionate about leveraging technology to make our lives better. Madhura's career journey goes from being a hands-on engineer to leading large product organizations across SUN Microsystems, Adobe, & now Workday. Her background covers building both consumer & enterprise products - the latest involving multiple 0 to 1 product journeys leveraging Machine Learning. She is considered a thought leader in building ML products, & is frequently invited to speak at AI conferences.
Madhura holds a Master's degree in math & computer science. She is also passionate about creating a future where talent shines & grows regardless of where they come from & what they look like. She drives diversity & inclusion work via leading a Women at Workday chapter. When not obsessing over technology, she can be found outdoors, running, hiking or snowboarding.
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