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公开(公告)号:US12111825B2
公开(公告)日:2024-10-08
申请号:US17984568
申请日:2022-11-10
Applicant: BANK OF AMERICA CORPORATION
Inventor: Prajith Rugmini Balakrishnan , Anurag Prakash Varde
CPC classification number: G06F16/2386 , G06F16/2358 , G06F16/26
Abstract: Systems, computer program products, and methods are described herein for event-driven batch processing with granular operational access. The present disclosure is configured to retrieve, from one or more feature databases, one or more attributes to process one or more records associated with a first batch cycle; retrieve, from one or more configuration databases, one or more resources associated with the one or more records; generate a dashboard interface for the one or more records, wherein the dashboard interface comprises the one or more attributes, the one or more resources, and one or more operational access parameters associated with the processing of the one or more records; and provide, to a user input device associated with a user, the dashboard interface.
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公开(公告)号:US12099484B2
公开(公告)日:2024-09-24
申请号:US18510236
申请日:2023-11-15
Applicant: Oracle International Corporation
Inventor: Debajyoti Roy
IPC: G06F16/21 , G06F16/215 , G06F16/23 , G06N20/00
CPC classification number: G06F16/215 , G06F16/217 , G06F16/2386 , G06N20/00
Abstract: Techniques are disclosed for tuning external invocations utilizing weight-based parameter resampling. In one example, a computer system determines a plurality of samples, each sample being associated with a parameter value of a plurality of potential parameter values of a particular parameter. The computer system assigns weights to each of the parameter values, and then selects a first sample for processing via a first external invocation based on a weight of the parameter value of the first sample. The computer system then determines feedback data associated with a level of performance of the first external invocation. The computer system adjusts the weights of the parameter values of the particular parameter based on the feedback data. The computer system then selects a second sample of the plurality of samples to be processed via execution of a second external invocation based on the adjustment of weights of the parameter values.
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公开(公告)号:US12079206B2
公开(公告)日:2024-09-03
申请号:US18091313
申请日:2022-12-29
Applicant: Salesforce, Inc.
Inventor: Narsimha Reddy Challa , Swaroop Jayanthi , Komalapriya J , Ramalinga Raju Kalidindi
CPC classification number: G06F16/2386 , G06F16/273
Abstract: An online system performs replication of database from one system to another. A source database is replicated to a target database by performing an initial bulk copy followed by repeated change data capture. The system performs batching to group events generated by the change data capture events. The system performs a multi-constrained analysis to determine when a batch is ready for sending. The system uses multiple buffers for transmitting events to decouple the receiving and sending of events. The online system may be a multi-tenant system the source and target databases stores data of tenants. The system determines a tenant score to adjust the resources allocated during event transfer. The system splits an event into partial events, to avoid dependency between the partial events so that tasks can be executed independent of each other. Therefore, the system performs replication with reduced synchronization overhead.
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公开(公告)号:US12069143B2
公开(公告)日:2024-08-20
申请号:US17700210
申请日:2022-03-21
Applicant: People.ai, Inc.
Inventor: Oleg Rogynskyy , Dylan Halladay , Stefan Hermanek , Yurii Brunets
IPC: G06F16/00 , G06F7/14 , G06F9/54 , G06F11/30 , G06F11/34 , G06F16/11 , G06F16/17 , G06F16/178 , G06F16/182 , G06F16/21 , G06F16/215 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/2455 , G06F16/2457 , G06F16/2458 , G06F16/25 , G06F16/26 , G06F16/27 , G06F16/28 , G06F16/29 , G06F16/31 , G06F16/335 , G06F16/35 , G06F16/901 , G06F16/903 , G06F16/9035 , G06F16/906 , G06F16/9535 , G06F21/62 , G06F40/20 , G06F40/237 , G06F40/295 , G06N3/08 , G06N5/025 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/0631 , G06Q10/0639 , G06Q10/107 , G06Q10/109 , G06Q10/1091 , G06Q10/1093 , G06Q50/22 , G16H50/20 , H04L41/14 , H04L43/00 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L51/046 , H04L51/212 , H04L51/234 , H04L51/42 , H04L61/45 , H04L67/125 , H04L67/30 , H04L67/303 , H04L67/306 , H04L67/50 , H04M3/436 , H04M15/00 , G06F40/205 , G06N20/00 , G06Q10/10 , G16H15/00 , G16H50/30 , H04L12/14 , H04L101/00 , H04L101/35 , H04L101/37 , H04M3/22 , H04M3/56
CPC classification number: H04L67/535 , G06F7/14 , G06F9/542 , G06F11/3024 , G06F11/3452 , G06F11/3495 , G06F16/122 , G06F16/1734 , G06F16/178 , G06F16/182 , G06F16/212 , G06F16/215 , G06F16/219 , G06F16/22 , G06F16/221 , G06F16/2228 , G06F16/2264 , G06F16/2272 , G06F16/23 , G06F16/235 , G06F16/2358 , G06F16/2365 , G06F16/2379 , G06F16/2386 , G06F16/245 , G06F16/24558 , G06F16/24564 , G06F16/2457 , G06F16/24575 , G06F16/24578 , G06F16/2477 , G06F16/254 , G06F16/256 , G06F16/26 , G06F16/27 , G06F16/273 , G06F16/28 , G06F16/285 , G06F16/288 , G06F16/289 , G06F16/29 , G06F16/313 , G06F16/337 , G06F16/355 , G06F16/901 , G06F16/9024 , G06F16/90344 , G06F16/9035 , G06F16/906 , G06F16/9535 , G06F21/6218 , G06F21/6245 , G06F40/20 , G06F40/237 , G06F40/295 , G06N3/08 , G06N5/025 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/063114 , G06Q10/06312 , G06Q10/06315 , G06Q10/06393 , G06Q10/06398 , G06Q10/107 , G06Q10/109 , G06Q10/1091 , G06Q10/1095 , G06Q50/22 , G16H50/20 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/14 , H04L51/046 , H04L51/212 , H04L51/234 , H04L51/42 , H04L61/45 , H04L67/125 , H04L67/30 , H04L67/303 , H04L67/306 , H04M3/436 , H04M15/755 , G06F40/205 , G06N20/00 , G06Q10/10 , G16H15/00 , G16H50/30 , H04L12/1407 , H04L2101/00 , H04L2101/35 , H04L2101/37 , H04M3/2218 , H04M3/56
Abstract: The present disclosure relates to systems and methods for determining an engagement profile of a participant by associating electronic activities to a profile. It may generate the engagement profile based on analysis of the electronic activity level. An example implementation may contain the following steps. The system may access for a first record object a plurality of electronic activities linked with the first record object. The system may identify for a participant from the plurality of electronic activities a set of electronic activities including the participant. The system may determine an engagement profile of the participant based on a first number of electronic activities of the set of electronic activities sent by the participant, a second number of the set of electronic activities received by the participant and a temporal distribution of the set of electronic activities. The system may store the engagement profile in one or more data structures.
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公开(公告)号:US12069142B2
公开(公告)日:2024-08-20
申请号:US17683245
申请日:2022-02-28
Applicant: People.ai, Inc.
Inventor: John Wulf , Sathya Hariesh Prakash , Yurii Brunets , Oleg Rogynskyy , Rajit Kurien Joseph , Yury Markovsky
IPC: H04L67/50 , G06F7/14 , G06F9/54 , G06F11/30 , G06F11/34 , G06F16/11 , G06F16/17 , G06F16/178 , G06F16/182 , G06F16/21 , G06F16/215 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/2455 , G06F16/2457 , G06F16/2458 , G06F16/25 , G06F16/26 , G06F16/27 , G06F16/28 , G06F16/29 , G06F16/31 , G06F16/335 , G06F16/35 , G06F16/901 , G06F16/903 , G06F16/9035 , G06F16/906 , G06F16/9535 , G06F21/62 , G06F40/20 , G06F40/237 , G06F40/295 , G06N3/08 , G06N5/025 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/0631 , G06Q10/0639 , G06Q10/107 , G06Q10/109 , G06Q10/1091 , G06Q10/1093 , G06Q50/22 , G16H50/20 , H04L41/14 , H04L43/00 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L51/046 , H04L51/212 , H04L51/234 , H04L51/42 , H04L61/45 , H04L67/125 , H04L67/30 , H04L67/303 , H04L67/306 , H04M3/436 , H04M15/00 , G06F40/205 , G06N20/00 , G06Q10/10 , G16H15/00 , G16H50/30 , H04L12/14 , H04L101/00 , H04L101/35 , H04L101/37 , H04M3/22 , H04M3/56
CPC classification number: H04L67/535 , G06F7/14 , G06F9/542 , G06F11/3024 , G06F11/3452 , G06F11/3495 , G06F16/122 , G06F16/1734 , G06F16/178 , G06F16/182 , G06F16/212 , G06F16/215 , G06F16/219 , G06F16/22 , G06F16/221 , G06F16/2228 , G06F16/2264 , G06F16/2272 , G06F16/23 , G06F16/235 , G06F16/2358 , G06F16/2365 , G06F16/2379 , G06F16/2386 , G06F16/245 , G06F16/24558 , G06F16/24564 , G06F16/2457 , G06F16/24575 , G06F16/24578 , G06F16/2477 , G06F16/254 , G06F16/256 , G06F16/26 , G06F16/27 , G06F16/273 , G06F16/28 , G06F16/285 , G06F16/288 , G06F16/289 , G06F16/29 , G06F16/313 , G06F16/337 , G06F16/355 , G06F16/901 , G06F16/9024 , G06F16/90344 , G06F16/9035 , G06F16/906 , G06F16/9535 , G06F21/6218 , G06F21/6245 , G06F40/20 , G06F40/237 , G06F40/295 , G06N3/08 , G06N5/025 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/063114 , G06Q10/06312 , G06Q10/06315 , G06Q10/06393 , G06Q10/06398 , G06Q10/107 , G06Q10/109 , G06Q10/1091 , G06Q10/1095 , G06Q50/22 , G16H50/20 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/14 , H04L51/046 , H04L51/212 , H04L51/234 , H04L51/42 , H04L61/45 , H04L67/125 , H04L67/30 , H04L67/303 , H04L67/306 , H04M3/436 , H04M15/755 , G06F40/205 , G06N20/00 , G06Q10/10 , G16H15/00 , G16H50/30 , H04L12/1407 , H04L2101/00 , H04L2101/35 , H04L2101/37 , H04M3/2218 , H04M3/56
Abstract: The present disclosure relates to methods, systems, and storage media for detecting events based on updates to node profiles from electronic activities. Exemplary implementations may access an electronic activity transmitted or received via an electronic account associated with a data source provider; generate a plurality of activity field-value pairs; maintain a plurality of node profiles; identify a first state of a first node profile of the plurality of node profiles; update the first node profile using the electronic activity; identify a second state of the first node profile subsequent to updating the first node profile using the electronic activity; detect a state change of the first node profile based on the first state and the second state; determine that the state change satisfies an event condition; and store an association between the first node profile and an event type corresponding to the event condition.
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公开(公告)号:US12032562B1
公开(公告)日:2024-07-09
申请号:US17491029
申请日:2021-09-30
Applicant: Amazon Technologies, Inc.
Inventor: James Zuber , Abhishek Kannan , Vishwas Narendra , Ernest S. Cohen , Bryan T. Wilkinson , Sameer Choudhary , Phillip H. Pruett , Nikhil Shah , Wilson Li
IPC: G06F16/23 , G06F16/22 , H04L67/1097
CPC classification number: G06F16/2386 , G06F16/2255 , G06F16/235 , G06F16/2365 , H04L67/1097
Abstract: Systems and methods are provided for efficiently maintaining a transaction sequence witness service to ensure that requests to read data provide consistent results across all storage nodes in a distributed system. Each storage node that stores data in response to a particular update event may first update the transaction sequence witness service with the sequence number for the update event. Thus, any other storage node that services a subsequent request for the data will be able to see, via the transaction sequence witness service, the sequence number that must be available on the storage node to respond to the request.
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公开(公告)号:US12026005B2
公开(公告)日:2024-07-02
申请号:US17968057
申请日:2022-10-18
Applicant: SAP SE
Inventor: Reinhard Sudmeier , Sreenivasulu Gelle , Alexander Ocher
CPC classification number: G06F16/254 , G06F16/2358 , G06F16/2386 , G06F16/258
Abstract: Embodiments are described for a data processing tool configured to cease operations of a plurality of database readers when detecting a congestion condition in the data processing tool. In some embodiments, the data processing tool comprises a memory, one or more processors, and a plurality of database readers. The one or more processors, coupled to the memory and the plurality of database readers are configured to determine a congestion condition in at least one data pipeline of a plurality of data pipelines of the data processing tool. Each data pipeline of the plurality of data pipelines connects a database reader and a transformer of the data processing tool, a transformer and a database writer of the data processing tool, or two transformers of the data processing tool. The one or more processors are further configured to refrain from reading data from one or more databases responsive to the congestion condition.
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公开(公告)号:US20240171649A1
公开(公告)日:2024-05-23
申请号:US18427768
申请日:2024-01-30
Applicant: People.ai, Inc.
Inventor: Oleg ROGYNSKYY , Yurii BRUNETS , Eric JESKE , Nicholas DINGWALL
IPC: H04L67/50 , G06F7/14 , G06F9/54 , G06F11/30 , G06F11/34 , G06F16/11 , G06F16/17 , G06F16/178 , G06F16/182 , G06F16/21 , G06F16/215 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/2455 , G06F16/2457 , G06F16/2458 , G06F16/25 , G06F16/26 , G06F16/27 , G06F16/28 , G06F16/29 , G06F16/31 , G06F16/335 , G06F16/35 , G06F16/901 , G06F16/903 , G06F16/9035 , G06F16/906 , G06F16/9535 , G06F21/62 , G06F40/20 , G06F40/205 , G06F40/237 , G06F40/295 , G06N3/08 , G06N5/025 , G06N5/04 , G06N7/02 , G06N20/00 , G06Q10/04 , G06Q10/0631 , G06Q10/0639 , G06Q10/10 , G06Q10/107 , G06Q10/109 , G06Q10/1091 , G06Q10/1093 , G06Q50/22 , G16H15/00 , G16H50/20 , G16H50/30 , H04L12/14 , H04L41/14 , H04L43/00 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L51/046 , H04L51/212 , H04L51/234 , H04L51/42 , H04L61/45 , H04L67/125 , H04L67/30 , H04L67/303 , H04L67/306 , H04L101/00 , H04L101/35 , H04L101/37 , H04M3/22 , H04M3/436 , H04M3/56 , H04M15/00
CPC classification number: H04L67/535 , G06F7/14 , G06F9/542 , G06F11/3024 , G06F11/3452 , G06F11/3495 , G06F16/122 , G06F16/1734 , G06F16/178 , G06F16/182 , G06F16/212 , G06F16/215 , G06F16/219 , G06F16/22 , G06F16/221 , G06F16/2228 , G06F16/2264 , G06F16/2272 , G06F16/23 , G06F16/235 , G06F16/2358 , G06F16/2365 , G06F16/2379 , G06F16/2386 , G06F16/245 , G06F16/24558 , G06F16/24564 , G06F16/2457 , G06F16/24575 , G06F16/24578 , G06F16/2477 , G06F16/254 , G06F16/256 , G06F16/26 , G06F16/27 , G06F16/273 , G06F16/28 , G06F16/285 , G06F16/288 , G06F16/289 , G06F16/29 , G06F16/313 , G06F16/337 , G06F16/355 , G06F16/901 , G06F16/9024 , G06F16/90344 , G06F16/9035 , G06F16/906 , G06F16/9535 , G06F21/6218 , G06F21/6245 , G06F40/20 , G06F40/237 , G06F40/295 , G06N3/08 , G06N5/025 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/063114 , G06Q10/06312 , G06Q10/06315 , G06Q10/06393 , G06Q10/06398 , G06Q10/107 , G06Q10/109 , G06Q10/1091 , G06Q10/1095 , G06Q50/22 , G16H50/20 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/14 , H04L51/046 , H04L51/212 , H04L51/234 , H04L51/42 , H04L61/45 , H04L67/125 , H04L67/30 , H04L67/303 , H04L67/306 , H04M3/436 , H04M15/755 , G06F40/205 , G06N20/00 , G06Q10/10 , G16H15/00 , G16H50/30 , H04L12/1407 , H04L2101/00 , H04L2101/35 , H04L2101/37 , H04M3/2218 , H04M3/56
Abstract: The present disclosure relates to systems and methods for determining an engagement profile of a participant by associating electronic activities to a profile. It may generate the engagement profile based on analysis of the electronic activity level. An example implementation may contain the following steps. The system may access for a first record object a plurality of electronic activities linked with the first record object. The system may identify for a participant from the plurality of electronic activities a set of electronic activities including the participant. The system may determine an engagement profile of the participant based on a first number of electronic activities of the set of electronic activities sent by the participant, a second number of the set of electronic activities received by the participant and a temporal distribution of the set of electronic activities. The system may store the engagement profile in one or more data structures.
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公开(公告)号:US11979468B2
公开(公告)日:2024-05-07
申请号:US17102397
申请日:2020-11-23
Applicant: People.ai, Inc.
Inventor: John Wulf , Sathya Hariesh Prakash , Tetiana Lutsaievska , Oleg Rogynskyy
IPC: G06F16/00 , G06F7/14 , G06F9/54 , G06F11/30 , G06F11/34 , G06F16/11 , G06F16/17 , G06F16/178 , G06F16/182 , G06F16/21 , G06F16/215 , G06F16/22 , G06F16/23 , G06F16/245 , G06F16/2455 , G06F16/2457 , G06F16/2458 , G06F16/25 , G06F16/26 , G06F16/27 , G06F16/28 , G06F16/29 , G06F16/31 , G06F16/335 , G06F16/35 , G06F16/901 , G06F16/903 , G06F16/9035 , G06F16/906 , G06F16/9535 , G06F21/62 , G06F40/20 , G06F40/237 , G06F40/295 , G06N3/08 , G06N5/025 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/0631 , G06Q10/0639 , G06Q10/107 , G06Q10/109 , G06Q10/1091 , G06Q10/1093 , G06Q50/22 , G16H50/20 , H04L41/14 , H04L43/00 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L51/046 , H04L51/212 , H04L51/234 , H04L51/42 , H04L61/45 , H04L67/125 , H04L67/30 , H04L67/303 , H04L67/306 , H04L67/50 , H04M3/436 , H04M15/00 , G06F40/205 , G06N20/00 , G06Q10/10 , G16H15/00 , G16H50/30 , H04L12/14 , H04L101/00 , H04L101/35 , H04L101/37 , H04M3/22 , H04M3/56
CPC classification number: H04L67/535 , G06F7/14 , G06F9/542 , G06F11/3024 , G06F11/3452 , G06F11/3495 , G06F16/122 , G06F16/1734 , G06F16/178 , G06F16/182 , G06F16/212 , G06F16/215 , G06F16/219 , G06F16/22 , G06F16/221 , G06F16/2228 , G06F16/2264 , G06F16/2272 , G06F16/23 , G06F16/235 , G06F16/2358 , G06F16/2365 , G06F16/2379 , G06F16/2386 , G06F16/245 , G06F16/24558 , G06F16/24564 , G06F16/2457 , G06F16/24575 , G06F16/24578 , G06F16/2477 , G06F16/254 , G06F16/256 , G06F16/26 , G06F16/27 , G06F16/273 , G06F16/28 , G06F16/285 , G06F16/288 , G06F16/289 , G06F16/29 , G06F16/313 , G06F16/337 , G06F16/355 , G06F16/901 , G06F16/9024 , G06F16/90344 , G06F16/9035 , G06F16/906 , G06F16/9535 , G06F21/6218 , G06F21/6245 , G06F40/20 , G06F40/237 , G06F40/295 , G06N3/08 , G06N5/025 , G06N5/04 , G06N7/02 , G06Q10/04 , G06Q10/063114 , G06Q10/06312 , G06Q10/06315 , G06Q10/06393 , G06Q10/06398 , G06Q10/107 , G06Q10/109 , G06Q10/1091 , G06Q10/1095 , G06Q50/22 , G16H50/20 , H04L41/14 , H04L43/026 , H04L43/045 , H04L43/062 , H04L43/065 , H04L43/067 , H04L43/0876 , H04L43/14 , H04L51/046 , H04L51/212 , H04L51/234 , H04L51/42 , H04L61/45 , H04L67/125 , H04L67/30 , H04L67/303 , H04L67/306 , H04M3/436 , H04M15/755 , G06F40/205 , G06N20/00 , G06Q10/10 , G16H15/00 , G16H50/30 , H04L12/1407 , H04L2101/00 , H04L2101/35 , H04L2101/37 , H04M3/2218 , H04M3/56
Abstract: The present disclosure relates to methods, systems, and storage media for detecting events based on updates to node profiles from electronic activities. Exemplary implementations may access an electronic activity transmitted or received via an electronic account associated with a data source provider; generate a plurality of activity field-value pairs; maintain a plurality of node profiles; identify a first state of a first node profile of the plurality of node profiles; update the first node profile using the electronic activity; identify a second state of the first node profile subsequent to updating the first node profile using the electronic activity; detect a state change of the first node profile based on the first state and the second state; determine that the state change satisfies an event condition; and store an association between the first node profile and an event type corresponding to the event condition.
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公开(公告)号:US11971882B2
公开(公告)日:2024-04-30
申请号:US17639125
申请日:2020-08-26
Applicant: THE FOURTH PARADIGM (BEIJING) TECH CO LTD
Inventor: Ni Mu , Taize Wang
CPC classification number: G06F16/2386 , G06F16/25 , G06F16/27
Abstract: The present disclosure discloses a system and method for batch and real-time feature computation, and the system includes: a management server, one or more batch feature computing units, one or more distributed computing units, one or more real-time feature computing units, an offline database and a real-time database. The management server receives a script containing feature computing logics, starts batch feature computation in a batch feature computing scenario, and deploys the script in a real-time feature computing scenario to generate a real-time computing plan, wherein the script containing the feature computing logics has unity for batch feature computing logics and real-time feature computing logics, and the real-time database obtains and stores data for the real-time feature computation from the offline database. According to the present disclosure, the batch feature computing logics and the real-time feature computing logics may be unified by the script.
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