Best Career Placement
The Data Science program is proud to announce that IBM lawyers have submitted the very first patent application to the U.S. Patent Office behalf of a GQP team. IBM gives this disclosure its full support and is confident we will see it registered within the next few years.
The exciting new disclosure relates to event planning and management, a multi-million dollar, international industry that includes events of all sizes, from the Olympics to a small religious ceremony.
Selecting the best date and time for an event, one that guarantees the highest attendance rate determines the difference between success and failure for the organizers, the guests of honor, and the occasion. Instead of a guessing game, this new invention relies on cognitive learning to direct organizers to the prime time and date for a concert, conference, convention, festival, wedding or any number of organized programs where good attendance is paramount.
If a planned gathering does not have excellent attendance, the organizers look incompetent. They will lose profits or contributions, and future business will be lost, along with their reputation. When planning begins, one of the first considerations is to determine the best time and date for the gathering; one that will draw the most significant number of attendees. Organizers must ascertain what other occasions or holidays, religious or otherwise, are previously scheduled so as not to cause a conflict.
In this new application, a computer-implemented method is used to select an optimal date to maximize attendance. It uses a data processing system that takes event data, including at least one location, a range of times, characteristics of the target audience, and attributes of the scheduled function. The data processing system retrieves web search data, social media data, forecasted weather data and traffic predictions corresponding to the input data.
The data processing system analyzes the data to determine a set of optimal dates that promise to maximize attendance of the intended audience at the planned event. The data processing system ranks the defined set of the ideal times for the scheduled event based on weights assigned to each of the attributes of the audience and the characteristics of the scheduled event.