Abstract: Provided herein are exemplary embodiments including a computer-implemented method of using artificial intelligence for automatically collecting and enriching network data for a smart campaign with autopilot features. The method includes, collecting a set of network data relevant to a smart campaign with autopilot features, applying one or more transformations to the collected set of data to create a modified set of data, generating from the modified set of data, enriched network data for a smart campaign with autopilot features, the enriched network data having content, context and event data, and using the enriched data to deploy a personalized campaign by identifying an audience, time, channel, content and goal of the communication.

Abstract: Methods and systems are provided for communication of one or more campaigns via personalized electronic messaging. An example method includes automatically creating an electronic communication personalized for each of a plurality of individual customers of a client. The automatically creating may include dynamic configuring the electronic communication for each individual customer into a single campaign for the client to optimize both relevancy for each of a plurality of individual customers and one or more desired business outcomes for the client. The dynamic configuring can include decision making using at least a business context. Performance goals of a business can comprise the business context. The decision-making can further use a user context and/or an external context. The electronic communication can be dynamically configured to include personalized recommendations and may further include personalized content and/or a personalized offer.

Abstract: Methods and systems are provided for communication of one or more campaigns via personalized electronic messaging. An example method includes automatically creating an electronic communication personalized for each of a plurality of individual customers of a client. The automatically creating may include dynamic configuring the electronic communication for each individual customer into a single campaign for the client to optimize both relevancy for each of a plurality of individual customers and one or more desired business outcomes for the client. The dynamic configuring can include decision making using at least a business context. Performance goals of a business can comprise the business context. The decision-making can further use a user context and/or an external context. The electronic communication can be dynamically configured to include personalized recommendations and may further include personalized content and/or a personalized offer.

Abstract: A method of electrically coupling a central processing unit (CPU) of a network server to a plurality of network interface modules. The method comprises providing each of the plurality of network interface modules with a respective bus adapter chip to route an I/O bus having a first format from the central processing unit to a primary side of each of the plurality of bus adaptor chips and routing another I/O bus of the first format from a secondary side of each of the plurality of bus adapter chips to respective ones of the network interface modules. The bus adapter chips also provide for arbitered access along the I/O buses and isolation of the CPU from electrical disruption when one the network interface modules is removed.