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Call Sam Koslowsky at  (212) 520-3259 or email him.



Use of Machine Learning to Personalize Website Interactions and Marketing email Messages.

  presentation slides

The growth of the Internet and email as marketing tools presents new challenges and new opportunities for marketers. Dr. Gilman will address the major issues and challenges faced by companies in interacting with customers.

A new method, which uses machine learning and Predictive Analytics will be discussed which can provide personalization of touch points, leverage past interactions and deal with sparse data to increase the ROI of these ever increasing modes of interaction.

Personalization, sometimes called one-to-one marketing implies that each customer will receive an interaction specifically tailored towards their needs or interests.

He will cover two important goals of this new era in marketing:
- Increasing the conversion rate of site visitors to an ecommerce website and
- Determining the optimum personalized e mail message and/or product offer in an email campaign.



Michael J. Gilman, PhD
CEO of Data Mining Technologies Inc. a computer software publisher and consulting firm specializing in data mining projects. He is the architect of Nuggets, a data mining toolkit, and other business and technical software.

Over 20 years experience in the areas of corporate management, computer consulting, business consulting, project management, systems analysis, and university teaching. Vice President of Strategic and logistic planning and Director of Management Science at Hoechst Celanese. His clients include Ernst and Young, Chubb Insurance, General Electric, Celanese Corporation, American Express, Warner Communications, Texaco, Con Edison, Chase Manhattan Bank, US Navy and numerous other companies. He served as Adjunct Professor of Business at Hofstra University where he has taught business, mathematics and computer courses. He is a frequent speaker on data mining subjects to business and academia. He has extensive theoretical and practical knowledge of Data Mining, Predictive Analytics, Optimization Techniques as both a consultant and algorithm developer in both the corporate and scientific domains.

Education: He holds a Ph.D. in Management Science from Polytechnic University of New York, a Masters degree with a major in Computer Science from New York University and a Bachelors Degree in Electrical Engineering from CUNY. He has published articles and papers and presented seminars to the business and scientific communities



Wednesday January 13, 2010 Noon - 2 PM


The Penn Club, 30 West 44th Street, New York, NY



$50 for non-members, $40 for chapter members,
$5 surcharge for walk-in without reservation.

Free meeting to new members: Luncheon seminar fee is waived if
attendee joins chapter as a new first-time member (attendee must
complete new member application and pay $30 chapter membership fee).



Call Sam Koslowsky at  (212) 520-3259 or email him.

Browse the meeting schedule , or get reservation information .