Abstract: Systems, methods and products for intelligent delivery of communications, where a machine learning engine is trained to identify an output channel for delivery of a communication based on received context information and intended recipient information and to route the communication to the selected channel. An intelligent delivery task in a communication flow model is performed by the machine learning engine, which receives customer/recipient data such as age, region, gender, etc., and context data such as communication type, time of day, working hours, etc., and uses this data to determine which of a set of different channels is likely to be most effecting for sending the communication to the recipient. A user therefore does not have to build a complex static communication flow, but simply adds an intelligent delivery task to the flow. The output channel is dynamically selected and may vary for different recipients and communications.

Abstract: A system includes a drill guide and a gauge wire. The drill guide has two arms rotatable relative to each other about a hinge, with each arm including a split portion of a guide. When the arms are in a closed configuration, the split portions come together to form a tubular guide. Because the arms can be opened and closed about the hinge, the guide can be split and removed from over a drill bit or pin without first removing the drill bit from the bone or the drill from the drill bit or pin. Each arm also includes a semicircular form which when the arms are closed defines a gauge wire hole parallel to the guide which is sized to receive a gauge wire. The gauge wire includes depth indicia along its length which is used to indicate the length of a fixation device for use in a procedure.