Abstract: A method for providing portfolio deviation analytics to facilitate collateral management is disclosed. The method includes retrieving trade data from a source based on a predetermined schedule, the trade data including transaction information and valuations information; retrieving reference data from a reference data hub; parsing the reference data to identify portfolios and corresponding parameters; identifying a deviation amount for each of the portfolios based on the corresponding trade data and the corresponding parameters; determining a resolution action for each of the portfolios based on the corresponding deviation amount; and automatically initiating the resolution action.

Abstract: A method for performing preemptive scaling is disclosed. The method includes monitoring of incoming data volume outside of a cloud network at a node upstream from the cloud network, and identifying micro services required for processing of the incoming data volume. The method further includes determining a number of instances for each of the identified micro services, and contemporaneously creating the determined number of instances for each of the identified micro services in the cloud for processing of the incoming data volume.

Abstract: A method for facilitating integrated computations in a microservice environment is disclosed. The method includes determining a list of profiles based on a generated global context, the list relating to an ordered representation of the profiles for calculating; loading data sets from various sources, each of the data sets including a context identifier; aggregating trade data from a trade capture listener to prepare for the calculating, the trade data including trade valuation data; retrieving position data for each of the profiles in the list, the position data including corresponding position valuation data; invoking computation devices for each of the profiles in the list based on a corresponding agreement type, the data sets, the trade data, and the position data; and notifying downstream applications based on the corresponding agreement type, the notification including an availability of a calculation result from the computation devices.

Abstract: A method for providing a canonical data model is disclosed. The method includes receiving, via a graphical user interface, requests to generate machine learning models, the requests including configuration data for the machine learning models; identifying the canonical data model that corresponds to the requested machine learning models, the canonical data model including various predetermined parameters; automatically mapping the configuration data to the various predetermined parameters; automatically generating the machine learning models based on a result of the mapping; and outputting the machine learning models in response to the requests.

Abstract: Various methods, apparatuses/systems, and media for real-time data dependency management are disclosed. A processor extracts data entity events from a plurality of data sets from upstream application; identifies dependent data entities for each data entity event based on initializing a data dependency graph with parent data nodes that represent all entities and their respective child data dependencies; publishes a data dependency event for each required parent data node in the data dependency graph; publishes a data dependency ready event for a certain parent node based on determining the certain parent node is configured for event publishing and that the certain parent node's child data dependencies are available; transmits the data dependency ready event to a task orchestration service platform; and orchestrates, upon receiving the data dependency ready event by the task orchestration service platform, a process instance and executes tasks for a corresponding data entity based on the process instance.

Abstract: A method for performing preemptive scaling is disclosed. The method includes monitoring of incoming data volume outside of a cloud network at a node upstream from the cloud network, and identifying micro services required for processing of the incoming data volume. The method further includes determining a number of instances for each of the identified micro services, and contemporaneously creating the determined number of instances for each of the identified micro services in the cloud for processing of the incoming data volume.

Abstract: Various methods, apparatuses/systems, and media for real-time data dependency management are disclosed. A processor extracts data entity events from a plurality of data sets from upstream application; identifies dependent data entities for each data entity event based on initializing a data dependency graph with parent data nodes that represent all entities and their respective child data dependencies; publishes a data dependency event for each required parent data node in the data dependency graph; publishes a data dependency ready event for a certain parent node based on determining the certain parent node is configured for event publishing and that the certain parent node's child data dependencies are available; transmits the data dependency ready event to a task orchestration service platform; and orchestrates, upon receiving the data dependency ready event by the task orchestration service platform, a process instance and executes tasks for a corresponding data entity based on the process instance.

Abstract: A method for performing preemptive scaling is disclosed. The method includes monitoring of incoming data volume outside of a cloud network at a node upstream from the cloud network, and identifying micro services required for processing of the incoming data volume. The method further includes determining a number of instances for each of the identified micro services, and contemporaneously creating the determined number of instances for each of the identified micro services in the cloud for processing of the incoming data volume.

Abstract: A method for providing portfolio deviation analytics to facilitate collateral management is disclosed. The method includes retrieving trade data from a source based on a predetermined schedule, the trade data including transaction information and valuations information; retrieving reference data from a reference data hub; parsing the reference data to identify portfolios and corresponding parameters; identifying a deviation amount for each of the portfolios based on the corresponding trade data and the corresponding parameters; determining a resolution action for each of the portfolios based on the corresponding deviation amount; and automatically initiating the resolution action.

Abstract: A method for facilitating management of a plurality of statement events is disclosed. The method includes receiving an event, the event relating to an agreement status of a statement; retrieving a profile that corresponds to the statement, the profile including a statement dependency and a rule; mapping the statement based on the statement dependency and the rule; aggregating data that corresponds to the statement from a source; determining a completion status that corresponds to the statement; and publishing a ready event that corresponds to the statement based on a result of the mapping, the aggregated data, and the completion status.

Abstract: The present application relates to a regioselective and stereoselective processes for the preparation of dehydroepi-androsterone (DHEA) and processes for its intermediates.

Abstract: The present application relates to a regioselective and stereoselective processes for the preparation of dehydroepiandrosterone (DHEA) and processes for its intermediates.

Abstract: The present invention relates to an improved process for the preparation of Tenofovir Disoproxil and its pharmaceutically acceptable salts comprising the steps of: a) esterifying Tenofovir with chloromethyl isopropyl carbonate in presence of a base, phase transfer catalyst and optionally dehydrating agent, in a suitable solvent; b) optionally purifying Tenofovir Disoproxil; and c) converting of Tenofovir Disoproxil into its pharmaceutically acceptable salts. The present invention further relates to a process for the preparation of Tenofovir by reacting 1-(6-amino-purin-9-yl)-propan-2-ol with toluene-4-sulfonic acid diethoxy phosphoryl methyl ester in presence of a base in a non-polar solvent medium followed by hydrolysis.

Abstract: The present invention relates to an improved process for the preparation of Tenofovir Disoproxil and its pharmaceutically acceptable salts comprising the steps of: a) esterifying Tenofovir with chloromethyl isopropyl carbonate in presence of a base, phase transfer catalyst and optionally dehydrating agent, in a suitable solvent; b) optionally purifying Tenofovir Disoproxil; and c) converting of Tenofovir Disoproxil into its pharmaceutically acceptable salts. The present invention further relates to a process for the preparation of Tenofovir by reacting 1-(6-amino-purin-9-yl)-propan-2-ol with toluene-4-sulfonic acid diethoxy phosphoryl methyl ester in presence of a base in a non-polar solvent medium followed by hydrolysis.