Data Science Institute-Industry-Innovation Seminar: KPMG
Wednesday,
October 4, 2017
3:00 PM - 4:00 PM
Data in the Real World: Driving Decisions and Earning Trust in Data
Presented by Arthur Franke and Carl Barrelet
At KPMG, our approach to data and analytics is centered on helping our clients realize the potential of using data science to drive strategic decisions, and to trust in integrating algorithms as part of their day-to-day business. First, we examine Always-on Signals, a data science framework developed at KPMG to harvest the potential of endogenous and exogenous signals. We will focus on one simple and yet powerful demonstration of Always-on signals called Density Signals that is rooted in geospatial data. The emphasis will be on the graphical illustration and the business use case of Density Signals as applied to a typical client need. Then, we will consider the use of virtual assistants and dialogue systems in the workplace and in customer-facing applications. While these powerful tools are disrupting how customers interact with businesses, and how users interact with their data, there is often misunderstanding as to the effort required to build and maintain a ‘virtual voice’ of an organization. We will take a look at a few key considerations where data science is essential to supporting and growing an automated dialogue system.
Presented by Arthur Franke and Carl Barrelet
At KPMG, our approach to data and analytics is centered on helping our clients realize the potential of using data science to drive strategic decisions, and to trust in integrating algorithms as part of their day-to-day business. First, we examine Always-on Signals, a data science framework developed at KPMG to harvest the potential of endogenous and exogenous signals. We will focus on one simple and yet powerful demonstration of Always-on signals called Density Signals that is rooted in geospatial data. The emphasis will be on the graphical illustration and the business use case of Density Signals as applied to a typical client need. Then, we will consider the use of virtual assistants and dialogue systems in the workplace and in customer-facing applications. While these powerful tools are disrupting how customers interact with businesses, and how users interact with their data, there is often misunderstanding as to the effort required to build and maintain a ‘virtual voice’ of an organization. We will take a look at a few key considerations where data science is essential to supporting and growing an automated dialogue system.
SPEAKER BIOS:
Arthur Franke (GSAS '13) is a member of the Machine Learning and Artificial Intelligence group within KPMG’s D&A Center of Excellence. Based out of New York, his work focuses on helping clients utilize machine learning and statistical optimization in their day-to-day business, and on demystifying Natural Language Processing, Deep Learning, and other powerful techniques. While at Columbia, Arthur’s analysis work as part of a multinational physics experiment led to four publications, and even an appearance of his research results on the television show The Big Bang Theory. In his free time, his is maintains two astronomy-related virtual assistant skills.
Carl Barrelet is a Data Scientist at KPMG’s Data & Analytics Center of Excellence, in New York City. He combines 8 years of experience in venture capital with an extended academic experience in science and applied data analytics. Carl’s current and past clients include commodity trading houses, energy, and financial services companies. He received his PhD from Harvard University, with his research work having appeared in science and engineering journals including Nature Photonics, the Journal of the American Chemical Society and Physical Review Letters.
OPEN TO THE PUBLIC | REGISTRATION *NOT* REQUIRED
LIVESTREAMING AND RECORDING WILL *NOT* BE AVAILABLE
Arthur Franke (GSAS '13) is a member of the Machine Learning and Artificial Intelligence group within KPMG’s D&A Center of Excellence. Based out of New York, his work focuses on helping clients utilize machine learning and statistical optimization in their day-to-day business, and on demystifying Natural Language Processing, Deep Learning, and other powerful techniques. While at Columbia, Arthur’s analysis work as part of a multinational physics experiment led to four publications, and even an appearance of his research results on the television show The Big Bang Theory. In his free time, his is maintains two astronomy-related virtual assistant skills.
Carl Barrelet is a Data Scientist at KPMG’s Data & Analytics Center of Excellence, in New York City. He combines 8 years of experience in venture capital with an extended academic experience in science and applied data analytics. Carl’s current and past clients include commodity trading houses, energy, and financial services companies. He received his PhD from Harvard University, with his research work having appeared in science and engineering journals including Nature Photonics, the Journal of the American Chemical Society and Physical Review Letters.
OPEN TO THE PUBLIC | REGISTRATION *NOT* REQUIRED
LIVESTREAMING AND RECORDING WILL *NOT* BE AVAILABLE
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