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How Big Data, Artificial Intelligence and Deep Learning are Transforming Your World
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11/29/2017

When: Wednesday, November 29, 2017
From 5:45 pm to 8:00 pm
Where: PwC
300 Madison Avenue
New York, New York  10017
United States
Contact:

Registration Information
Online registration is available until: 11/27/2017
Details

 

How Big Data, Artificial Intelligence and Deep Learning are Transforming Your World

 

Big Data GraphicYou may know a little about Big Data and for certain are benefiting from artificial intelligence when you tell your GPS where you want to go or ask Siri to call your mom.

But the magnitude of Big Data and its impact on Artifical Intelligence is transforming your world in ways not seen since Edison turned on his first electric light.

Never before have companies been able to harness huge amounts of data through computerization and use the outcomes to make decisions to solve real business problems. For example, one of our panelists will describe how her organization is using Big Data to price all its generic drugs.

Deep Learning is a subset of Artificial Intelligence by which computers “teach” themselves how to build models for decision making without human programmers. Deep Learning, when combined with Big Data, can inform enabling technologies and transform many sectors. For examples, to AI and Big data add:

 

  • Robotics = Industry 4.0 (smart local manufacturing)
  • Cameras and sensor package = self-driving cars
  • Sensors and bioinformatic maps = precision medicine
  • Chatbots = personalized health monitoring, retail and music

Be sure to register for this panel to hear from our distinguished panel:

  • What exactly are Big Data, AI and Deep Learning
  • What do they mean for your industry
  • Asking the right questions about your data
  • Telling a story with your data
  • Data driven decision making
  • Finding the value in big data

You will learn how big data, AI and Deep Learning will change your life forever.

 

PANELISTS' PROFILE


Maureen Sullivan photoMaureen Swanson
Director of Generic Drug Pricing, AmerisourceBergen


Maureen Swanson is Director of Generic Drug Pricing at AmerisourceBergen, a Fortune 11 company with over $147B in Annual Revenue. With 10 years of pricing experience, Maureen has played a significant role in the development of ABC’s current Generic Drug go-to-market pricing strategy and this year led the organization’s pricing data and analytics transformation – the implementation of a best in class Pricing Analytics tool which is now serving as the backbone of all pricing activities and initiatives. This tool aggregates numerous complex data sets including master data, millions of rows of daily transactional data, competitive data, leakage data, customer segmentation data, pharmacy reimbursement data, and 3rd party benchmark data. With the implementation of the new analytics tool, Maureen and her team are able to process and leverage these disparate data sets to identify pricing opportunities and increase margin realization for the organization. In the most recent fiscal year, these initiatives have contributed nearly $20MM in margin expansion for the company. In her current role, Maureen is also responsible for the pricing activities related to the entire contract lifecycle for ABC’s Strategic Accounts; including deal development & negotiation, price maintenance, issue resolution, and growth opportunities.  Maureen received a B.S. in Supply Chain Management from Lehigh University.

Claudia Perlich ImageClaudia Perlich
Chief Scientist, Dstillery

Prior to joining Dstillery (former Media6Degrees), Claudia Perlich spent five years working at the Data Analytics Research group at the IBM T.J. Watson Research Center, concentrating on research in data analytics and machine learning for complex real-world domains and applications. She has been published in over 30 scientific publications and holds multiple patents in the area of machine learning. Claudia has won many data mining competitions, including the prestigious 2007 KDD CUP on movie ratings, the 2008 KDD CUP on breast-cancer detection, and the 2009 KDD CUP on churn and propensity predictions for telecommunication customers.

Claudia received her Ph.D. in Information Systems from Stern School of Business, New York University in 2005, and holds a Master of Computer Science from Colorado University.

Amy Pierce ImageAmy Peirce
Partner, Technology, Media & Telecommunications Analytics


Amy Peirce is a Partner with PwC ‘s Advisory Services and she leads the analytics practice lead for the technology sector. She has 18 years of experience bringing data and analytics to the high-tech, communications and FS industries.

Prior to joining PwC, Amy worked for Incubic, a venture capital firm focused on early-stage investments in photonics, telecommunications and life sciences.
Amy earned her master of business administration from Duke University’s Fuqua School of Business in Durham, North Carolina. She also holds a bachelor of science in physics from Willamette University in Salem, Oregon.

Pia Ramchandani ImagePia Ramchandani
Director, Artificial Intelligence Accelerator


Pia Ramchandani is a director in PwC’s Analytics Practice and co-leads the Artificial Intelligence Accelerator lab (AIA), a team focused on developing AI capabilities for PwC. Pia has over nine years of modeling experience across AI and analytics, with a focus on simulation (including agent-based modeling, system dynamics and discrete event simulations), stochastic modeling, machine learning, optimization, natural language processing and decision sciences. She has led artificial intelligence (AI) and analytics engagements helping clients with big-bet strategic issues such as new market entry, product adoption, population health management, channel distribution, customer acquisition/retention, and policyholder behavior analysis. She has worked primarily in the insurance and healthcare industries and is based in New York.

 



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Event Schedule
5:45 - 6:30 pm Registration and Networking
6:30 - 7:30 pm Panel Discussion
7:30 - 8:00 pm Q&A and Networking
  

Cost
$45 FWA Members  |  $60 Non-Members  |  Refreshments Included


Special Note
The Rockefeller Tree Lighting event may impact your transportation options.  Please plan to take the subway (4/5/6/7 to Grand Central Station) or schedule extra time for travel to the PwC location.
    


 

Special thanks to PwC for hosting space for this event.

  

This event is organized by the Emerging Technology Committee of the FWA of New York, Inc. with special recognition to Lauren Leipold, Zoe Pangalos, and Megha Sachdeva.


About the FWA
Established in 1956, the FWA is a 501(c)(3) nonprofit professional organization with a membership of approximately 1000 female and male professionals working in the financial services industry or who hold a financial position in another industry. The FWA has a long tradition of encouraging women to seek career opportunities in finance and business through mentorship and networking.


 

Reservations Required -- Bring Photo ID -- NO WALK-INS
  Reservations/Cancellations and payments are required by Monday, November 27, 2017


 

 
 

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