Abstract: Method, computer program product, and computer system are provided. Questions are extracted from a chat in real-time during an online meeting and are aggregated into groups of duplicate questions. The groups are presented to a subset of attendees whose question is in the group. Feedback is received and applied to the group from the subset of attendees. Whether a question is answerable is predicted. For answerable questions an amount of time to answer the question is predicted. The answerable questions are sequenced, filtered, prioritized, and presented to an attendee interface and a presenter interface.

Abstract: Method, computer program product, and computer system are provided. A model is trained, in real-time to identify likely duplicate questions. A level of duplication is identified between a question and a previously asked question in a meeting transcript. An asker is pointed to where in the meeting transcript the question was the previously asked. All duplicate questions are arranged in a single point question by topic. A new meeting transcript is generated and displayed to attendees, including each individual question and each single point question.

Abstract: Methods and systems for using machine learning to identify extremely rare events in high-dimensional space are disclosed. A method includes: identifying, by a computing device, a plurality of derived attributes using an external data source; selecting, by the computing device, a plurality of key performance indicators from the plurality of derived attributes using a neural network and based on an extremely rare event being modeled; constructing, by the computing device, a linear model using the plurality of key performance indicators; and predicting, by the computing device, occurrences of the extremely rare event using the linear model.

Abstract: Methods and systems for using machine learning to identify extremely rare events in high-dimensional space are disclosed. A method includes: identifying, by a computing device, a plurality of derived attributes using an external data source; selecting, by the computing device, a plurality of key performance indicators from the plurality of derived attributes using a neural network and based on an extremely rare event being modeled; constructing, by the computing device, a linear model using the plurality of key performance indicators; and predicting, by the computing device, occurrences of the extremely rare event using the linear model.

Abstract: In an approach for improving the virtual meeting user experience, a processor detects a user disengaging from a virtual meeting having at least two participants for a pre-set period of time or for a pre-set percentage of a total allotted time of a pre-scheduled virtual meeting. A processor retrieves data from a database. A processor prepares a summary that is tailored to a profile of the user and that covers a portion of the virtual meeting during which the user was disengaged. A processor detects the user reconnecting to the virtual meeting. A processor determines whether the user will review the summary before rejoining the virtual meeting. Responsive to determining the user will review the summary before rejoining the virtual meeting, a processor prompts the user with a set of default user preferences to review the summary. A processor outputs the summary to the user.

Abstract: A method including: analyzing, by a computing device, a plurality of portions of a document; determining, by the computing device and based on the analyzing, a concept of each of the portions of the document; comparing, by the computing device, a title of the document with the concept of each of the portions of the document; determining, by the computing device and based on the comparing, an alignment of the concept of each of the portions of the document with the title; generating, by the computing device and based on the alignment, a propensity score for each of the portions of the document; and reordering, by the computing device and based on the propensity scores, the portions of the document from most aligned with the title to least aligned with the title.

Abstract: A circuit for suppressing undesired sub-harmonics includes a plurality of mixers, wherein the plurality of mixers are connected in parallel; a plurality of local oscillator signals (LO), wherein each of the plurality of LOs is associated with one of the plurality of mixers; an input to receive a plurality of phases of a driving clock, wherein each of the plurality of phases is a sub-harmonic of the driving clock, and wherein each phase of the driving clock is distributed to one of the plurality of mixers; wherein the plurality of mixers are configured to suppress one or more of the plurality of phases of the driving clock and amplify a desired phase of the driving clock.

Abstract: In an approach for improving the virtual meeting user experience, a processor detects a user disengaging from a virtual meeting having at least two participants for a pre-set period of time or for a pre-set percentage of a total allotted time of a pre-scheduled virtual meeting. A processor retrieves data from a database. A processor prepares a summary that is tailored to a profile of the user and that covers a portion of the virtual meeting during which the user was disengaged. A processor detects the user reconnecting to the virtual meeting. A processor determines whether the user will review the summary before rejoining the virtual meeting. Responsive to determining the user will review the summary before rejoining the virtual meeting, a processor prompts the user with a set of default user preferences to review the summary. A processor outputs the summary to the user.

Abstract: Embodiments minimize downtime involved in moving a PDB between CDBs by allowing read-write access to the PDB through most of the moving operation, and by transparently forwarding connection requests, for the PDB, from the source CDB to the destination CDB. The files of a source PDB are copied from a source CDB to a destination CDB, during which the source PDB may be in read-write mode. The source PDB is then closed to write operations so that changes to the source PDB cease. Another round of recovery is performed on the PDB clone, which applies all changes that have been performed on the source PDB during the copy operation and the PDB clone is opened for read and write operations. Forwarding information is registered with the source location, which information is used to automatically forward connection requests, received at the source location for the moved PDB, to the destination location.

Abstract: A method including: analyzing, by a computing device, a plurality of portions of a document; determining, by the computing device and based on the analyzing, a concept of each of the portions of the document; comparing, by the computing device, a title of the document with the concept of each of the portions of the document; determining, by the computing device and based on the comparing, an alignment of the concept of each of the portions of the document with the title; generating, by the computing device and based on the alignment, a propensity score for each of the portions of the document; and reordering, by the computing device and based on the propensity scores, the portions of the document from most aligned with the title to least aligned with the title.

Abstract: Provided herein are data cloud administration techniques that achieve autonomy by using a rules engine that reacts to a database system event by autonomously submitting an asynchronous job to reconfigure a database. In an embodiment, a rules engine receives an event from a DBMS. Based on the event, the rules engine executes a rule to generate a request that indicates configuration details for a database. The rules engine sends the request to a request broker. The request broker dispatches an asynchronous job based on the request. The asynchronous job configures the database based on the configuration details. Thus, databases in a cloud, data grid, or data center may be administered autonomously (without human intervention) base on dynamic conditions that are foreseen and unforeseen.

Abstract: Provided herein are workload management techniques that asynchronously configure pluggable databases within a compute cloud. In an embodiment, the compute cloud receives an administrative request that indicates configuration details for a pluggable database. The compute cloud generates a configuration descriptor that specifies an asynchronous job based on the configuration details of the request. The compute cloud accesses hosting metadata to detect at least one of: a) a current container database that already hosts the pluggable database, b) a target container database that will host the pluggable database, or c) a particular computer that hosts at least one of: the current container database, or the target container database. The compute cloud executes the asynchronous job to configure the pluggable database based on at least one of: the hosting metadata, or the configuration descriptor.

Abstract: A method, computer system, and computer program product for dynamic digital channel journey analysis are provided. The embodiment may include obtaining information related to user page accesses and flows. The embodiment may also include creating a period graph for a measurement period. The embodiment may further include computing an initial yield leakage value for the measurement period. The embodiment may also include creating a temporal reference. The embodiment may further include updating the period graph based on the yield leakage value and the temporal reference. The embodiment may also include identifying a link where the yield leakage value is high and where the link leads to.

Abstract: Techniques are provided for using a sparse file to create a hot archive of a pluggable database of a container database. In an embodiment and while a source pluggable database is in service, a source database server creates a clone of the source pluggable database. Also while the source pluggable database is in service, the source database server creates an archive of the source pluggable database that is based on the clone. Eventually, a need arises to consume the archive. A target database server (which may also be the source database server) creates a target pluggable database based on the archive.

Abstract: Embodiments minimize downtime involved in moving a PDB between CDBs by allowing read-write access to the PDB through most of the moving operation, and by transparently forwarding connection requests, for the PDB, from the source CDB to the destination CDB. The files of a source PDB are copied from a source CDB to a destination CDB, during which the source PDB may be in read-write mode. The source PDB is then closed to write operations so that changes to the source PDB cease. Another round of recovery is performed on the PDB clone, which applies all changes that have been performed on the source PDB during the copy operation and the PDB clone is opened for read and write operations. Forwarding information is registered with the source location, which information is used to automatically forward connection requests, received at the source location for the moved PDB, to the destination location.

Abstract: Embodiments create a clone of a PDB while the PDB accepts write operations. While the PDB remains in read-write mode, the DBMS copies the data of the PDB and sends the data to a destination location. The DBMS performs data recovery on the PDB clone based on redo entries that record changes made to the source PDB while the DBMS copied the source PDB files. This data recovery makes all changes, to the PDB clone, that occurred to the source PDB during the copy operation. The redo information, on which the data recovery is based, is foreign to the PDB clone since the redo entries were recorded for a different PDB. In order to apply foreign redo information to perform recovery on the PDB clone, a DBMS managing the PDB clone maintains mapping information that maps PDB source reference information to corresponding information for the PDB clone.

Abstract: Embodiments incrementally refresh a clone of a source PDB while the source PDB accepts write operations. Specifically, refreshing the PDB clone incorporates changes made to the source PDB since a refresh reference time stamp, which marks the time at which the PDB clone was created or, if the PDB clone has been previously refreshed, the time at which the PDB clone was last refreshed. A PDB clone is incrementally refreshed by incorporating, into the PDB clone data, those source data blocks that have changed since the refresh reference time stamp. Recovery is performed on the PDB clone, once the blocks are copied, to apply any changes made to the source PDB while the blocks were being copied, which recovery makes the PDB clone files consistent. This recovery is based on redo entries recorded for the source PDB during the time it took to copy the blocks to the PDB clone.

Abstract: Embodiments minimize downtime involved in moving a PDB between CDBs by allowing read-write access to the PDB through most of the moving operation, and by transparently forwarding connection requests, for the PDB, from the source CDB to the destination CDB. The files of a source PDB are copied from a source CDB to a destination CDB, during which the source PDB may be in read-write mode. The source PDB is then closed to write operations so that changes to the source PDB cease. Another round of recovery is performed on the PDB clone, which applies all changes that have been performed on the source PDB during the copy operation and the PDB clone is opened for read and write operations. Forwarding information is registered with the source location, which information is used to automatically forward connection requests, received at the source location for the moved PDB, to the destination location.

Abstract: In an approach, a database management system is configured in a manner that allows all pluggable databases within a cluster to be treated, from the perspective of a user, as though stored on a single container database, even when the pluggable databases are distributed across a plurality of container databases. When a command is received by a database server that is to be executed on all or a subset of the pluggable databases within the cluster, the database inspects mapping information replicated on all container databases within the cluster by a cluster synchronization server to determine which container databases store pluggable databases implicated by the command. The command is then forwarded to the database servers responsible for the determined container databases for execution. As a result, the commands issued by the user can be agnostic in regard to the actual location of the pluggable databases within the cluster.

Abstract: An apparatus for simultaneous transmit and receive is provided. The apparatus is capable of rejecting or passing transmitter and receiver signals. The apparatus includes: a transmitter; an antenna (e.g., a shared antenna); a receiver including switches controllable by time varying signals; and a quadrature coupler including first, second, third, and fourth ports, wherein the first port is coupled to the transmitter, wherein the second port is coupled to the antenna, and wherein the third and fourth ports are coupled to the receiver.