Wayne Chung CTO FBI Introduction The field of cybersecurity has slowly progressed from an art to a science. It has been a long and complicated journey that is still punctuated by misunderstandings and lack of rigor. The field of artificial intelligence, however, has further transformed from a science… Read More
Anne LiftonManager of Data ScienceNordstrom Overview Anne Lifton is a Manager of Data Science at Nordstrom and in this presentation gives her own life hacks that she has come up with through her experience working in a variety of different fields that utilize machine learning and the skills… Read More
Jolene MorkSenior Data ScientistMacy’s Iain StittData ScientistMacy’s Bhagyesh PhanseVP, Data ScienceMacy’s Overview In this presentation a team of Data Scientists, Bhagyesh Phanse (VP), Jolen Mork (Senior DS), and Iain Stitt (DS), from Macy’s discuss the challenges and solutions reached in product forecasting… Read More
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
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
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
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
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
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
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
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