Speaker Categories

March 10, 2020

Machine Learning in Production: From Research to the Customer

Ameen KazerouniLead Data ScientistZappos Overview In this presentation Ameen Kazerouni, the Lead Data Scientist at Zappos, walks through the entire process of developing a proper machine learning process that can be scaled and deployed to solve business problems. Ameen began his own journey in the Biomedical Informatics but… Read More

March 10, 2020

Chatbot & Human-to-Human Transition

Rich Hultman Senior UX Manager – Services & Strategic Growth Office Best Buy To be discussed: Chatbot benefits for a decade-old chat application, and how these sessions provide agents with improved customer interactions. The right mix for human hand-off and user expectations  The importance of channel expertise, automated… Read More

March 10, 2020

We Need to Talk About AI Ethics

Linda Leopold Head of AI Policy H&M Introduction Linda leads the work on sustainable and ethical AI at H&M, including delving into such questions as “what does ‘responsible AI’ mean for a retail company?” and “what is the connection between AI and sustainability?” Also: “how do we get… Read More

March 10, 2020

Using the Data You Have to Get the Data You Want

Ryan Kee Director – Innovation, AI WalMart Introduction Points to Address: Looking at data not so much from a tech standpoint but from a process standpoint How can we use data from the back door to the front door? Considering availability: how can we create the product our… Read More

March 4, 2020

All About Time Series Modeling With Neural Networks

Seth WeidmanSenior Data ScientistFacebook Overview In this presentation, Seth speaks to the details of   different types of time series and how to apply them to different problems experienced in the workplace. He covers tricks used to train models effectively in order for accurate predictions to be made… Read More

March 4, 2020

An Ensemble Approach to Predict Default Risk in Stress Testing

Yun ZhengVP of Innovation & Global RiskAnalyticsHSBC Overview This presentation discussed the importance of performing stress tests on financial models that are used to predict the term structure of corporate default probabilities. This is accomplished by using an ensemble approach using different machine learning algorithms that minimize… Read More

February 27, 2020

AI & Beyond the Quant

Victor MartinezLead Data ScientistState Street Overview In this presentation, Victor Martinez talks about the complexities of properly applying machine learning algorithms to today’s financial markets. Primarily focusing on time series implementation and analysis, he differentiates between stationary and non-stationary relationships to describe the difficulty in creating reliable and… Read More

February 27, 2020

Model Development Strategies for Time Series Forecasting

Jun KimDirector – Finance Decision ScienceAmerican Express Overview In this presentation, Jun Kim talks about leading a team of data scientists at American Express to create time series models to predict future financial trends. He focuses more on the practical application of model development rather than actual model… Read More

February 27, 2020

Machine Learning and Artificial Intelligence in Banking

Artit “Art” Wangperawong Distinguished Engineer US Bank Introduction Every company’s AI journey is different. We’re all trying to figure out how we use AI for our business or our productivity and development. We’re all on different paths and at different parts of the journey. It also may lead… Read More

February 27, 2020

A Human and Machine Approach to Wealth Management

Chris Kovel Head of Wealth Management Analytics, Intelligence & Data Technology Morgan Stanley Chis Kovel Bio Chris works in Morgan Stanley’s IT department, helping to develop and enhance such digital technologies as data, analytics, artificial intelligence, machine learning, call center, intelligent agents and CRM.  He holds two patents… Read More