Abstract: Included are embodiments for providing statistical and crowd sourced predictions that includes a memory component that stores logic that causes the system to determine default player ratings for a plurality of players based on statistical data, receive user player rankings from a plurality of users, and convert the user player rankings into user ratings. In some embodiments, the logic causes the system to determine team data for a plurality of teams, where each of the plurality of teams includes a player that has been rated and simulate a game between at least two of the plurality of teams, and where the simulation is made based on the default player ratings, the user ratings, and the team data. In some embodiments, the logic causes the system to determine an outcome of the game from the simulation and provide the outcome to the plurality of users for display.

Abstract: An interactive voice and data response system that directs input to a voice, text, and web-capable software-based router, which is able to intelligently respond to the input by drawing on a combination of human agents, advanced speech recognition and expert systems, connected to the router via a TCP/IP network. The digitized input is broken down into components so that the customer interaction is managed as a series of small tasks rather than one ongoing conversation. The router manages the interactions and keeps pace with a real-time conversation. The system utilizes both speech recognition and human intelligence for purposes of interpreting customer utterance or customer text. The system may use more than one human agent, or both human agents and speech recognition software, to interpret simultaneously the same component for error-checking and interpretation accuracy.

Abstract: An interactive voice and data response system then directs input to a voice, text, and web-capable software-based router, which is able to intelligently respond to the input by drawing on a combination of human agents, advanced speech recognition and expert systems, connected to the router via a TCP/IP network. The digitized input is broken down into components so that the customer interaction is managed as a series of small tasks rather than one ongoing conversation. The router manages the interactions and keeps pace with a real-time conversation. The system utilizes both speech recognition and human intelligence for purposes of interpreting customer utterance or customer text. The system may use more than one human agent, or both human agents and speech recognition software, to interpret simultaneously the same component for error-checking and interpretation accuracy.