Abstract:
A method includes creating one or more first policy shims to be applied to a ML/AI module, applying the one or more first policy shims to an input or an output of the ML/AI module and executing the ML/AI module on a data set in response to the applying step. The one or more first policy shims includes an input policy shim and an output policy shim and the applying step includes applying the input policy shim to the data set prior to the executing step and applying the output policy shim to an output of the executing step.
Abstract:
A processing system including at least one processor may obtain a first ontology of a first type of data pipeline component, map the first ontology to a second ontology for a second type of data pipeline component that is stored in a catalog of data pipeline component types, provide a second data schema for the second type of data pipeline component as a template for a first data schema for the first type of data pipeline component, and add the first type of data pipeline component to the catalog of data pipeline component types, where the adding comprises storing the first ontology and the first data schema for the first type of data pipeline component in the catalog of data pipeline component types.
Abstract:
Embodiments relate to a method, system and storage medium for moving an item from the first location to a second location. The method includes characterizing the item to be moved with a set of item attributes. The method further includes characterizing the first location and the second location with a set of first location attributes and second location attributes. The method further includes specifying goals for the item to move from the first location to a second location. The method also includes accessing an origin template stored in a data store wherein the origin template is associated with the item and the first location and accessing a destination template stored in the data store wherein the destination template is associated with the item and the second location. The method further includes generating a moving plan from the origin template, the destination template and the goals, and executing the moving plan with an agent that moves the item from the first location to the second location.
Abstract:
A method for adapting quality of service to dynamics of a wireless telecommunications network is provided. The method includes collecting data relating to operation of an element in the network, wherein the collected data comprises radio-frequency (RF) data relating to operation of the network. The method also includes pre-calculating, from the collected data, a dynamic operational characteristic of the network, wherein the pre-calculating includes pre-calculating from the collected data to obtain a geometrical determination based on a geographical location of a wireless communications device within the network. The method further includes making available the pre-calculated characteristic of the network to an application of the device using the network, including storing the characteristic at a pre-calculation server accessible by the device so the device can selectively retrieve the characteristic, and updating the characteristic at a frequency based on a trigger related to volatility of the RF data being collected.
Abstract:
Automatic rating optimization is described. In an embodiment, ratings of a program can be received from one or more rating sources. Based on these ratings, a representation of a content selection mechanism can be sent to potential consumers of the content. Access events for the content can be counted over a duration of time so a determination can be made regarding how the ratings provided by each of the rating sources affect popularity of the content. A weight accorded to ratings received from each of the rating sources can be adjusted based on the determination. Profiles can be established for consumers and/or rating sources.
Abstract:
A method for managing appointments using a wireless device includes receiving scheduling data for a future appointment including a time associated with the future appointment. A current location of the wireless device is determined, and a reminder for the future appointment is provided at a time prior to the future appointment based on the current location of the wireless device. For example, the reminder may be provided at a time that varies based on the current location of the wireless device, a location associated with the future appointment, and an estimated travel time between the current location of the device and the location associated with the future appointment. Related methods, devices, and computer program products are also discussed.
Abstract:
Methods, systems, and computer program products that automatically control the installation of software applications on a device are provided. The installation of a software application on a device is detected. The installation is temporarily halted and information about the detected software application installation is collected. A danger level of the detected software application is assessed based upon the collected information. Installation of the detected software application is allowed to continue if the assessed danger level is below a threshold level and installation of the detected software application is terminated if the assessed danger level is above the threshold level.
Abstract:
A processing system including at least one processor may obtain a first ontology of a first type of data pipeline component, map the first ontology to a second ontology for a second type of data pipeline component that is stored in a catalog of data pipeline component types, provide a second data schema for the second type of data pipeline component as a template for a first data schema for the first type of data pipeline component, and add the first type of data pipeline component to the catalog of data pipeline component types, where the adding comprises storing the first ontology and the first data schema for the first type of data pipeline component in the catalog of data pipeline component types.
Abstract:
In one embodiment, a method includes monitoring, by a control loop including a processor and a memory, a first environment. The control loop includes one or more predetermined control loop parameters. The method also includes receiving, by the control loop and in response to monitoring the first environment, first data from the first environment and receiving, by the control loop, information from an adaptation control loop. The method also includes determining, by the control loop, to automatically adjust at least one of the one or more predetermined control loop parameters based at least in part on the information received from the adaptation control loop and automatically adjusting, by the control loop, the one or more predetermined control loop parameters. The method further includes determining, by the control loop, to initiate an action based on the first data collected from the first environment and the one or more adjusted control loop parameters.
Abstract:
Fast-aiding radio access network intelligent controllers (RICs) can assist other RICs that are experiencing performance issues. The system can take into account the availability of other RICs that can aid the RIC needing assistance. Therefore, multiple RICs cooperatively working together can generate synergies, and allow differentiated RICs to operate in both predefined and/or dynamically create RIC groups. Once a RIC that needs assistance is identified, other RICs can offload functionalities that are less important than the functionality of the RIC that is experiencing the performance issues. After the assisting RIC has offloaded its functionalities, it can then devote resources to the RIC that needs the assistance.