Bank of America Corporation

Gaurav Bansal

Shekhar Singh Mehra

Deviprasad Tatti

Sandeep Kumar Chauhan

Pinak Chakraborty

Ashwin Kumar Yedte

Yogesh Raghuvanshi

Vinod Maghnani

Saisrikanth Chitty

Vidya Raghunathan

Mithun Kumar

Chetan Singh Naruka

Nikhil Pathak

Raja Venkatesh Gottumukkala

Sivasankar Karunagaran

Surendra Korrapati

Ramkumar Pk

Nipun Mahajan

Imran Khan

Sunish Satapathy

Prajit Kumar Datta

Akash Sambajee Rao Bhole

Dheeraj Singh

Systems, methods, and apparatus are provided for intelligent, integrated, and interactive remote reporting. A remote natural language request for a report may be received from a user at an edge device. A first machine learning model may generate a list of existing reports based on past usage by the user. If no existing report satisfies the request, a second, enterprise-level machine learning model may map the request to relevant data sets and rank the mapped data sets along with additional related data sets based on enterprise-wide usage. An integrated reporting platform may receive selected data sets and report parameters as a JSON request, convert the request to compatible executable instructions, and generate the report. The integrated reporting platform may be a wrapper layer encompassing multiple proprietary reporting engines. Feedback from the integrated reporting platform may be applied to update the machine learning models.

Intelligent integrated remote reporting system

According to certain embodiments, a software development system comprises memory and a processor operably coupled to the memory. The memory is operable to store a plurality of code templates, each coded according to syntax of a respective programming language. The processor is configured to receive a user instruction in natural language and perform processing of the user instruction to yield a structured user instruction. The processor is further configured to determine a pre-defined structure that maps to the structured user instruction, select a code template associated with the pre-defined structure that maps to the structured user instruction, and use the selected code template to generate software code that implements functionality of the structured user instruction according to the syntax of the respective programming language of the selected code template.

Software development system

A quantum computing based video alert system converts captured video and audio signals, in real time, into a sequence of video qubits and a sequence of audio qubits. An entanglement score is generated based on a comparison of the video qubits to historical video qubits that are verified to show malicious activity. A second entanglement score is generated based on a comparison of the audio qubits to historical audio qubits that are verified to show malicious activity. A probability score is generated for each segment of the video qubit sequence and for each segment of the audio qubit sequence. If the probability score for the video qubit sequence, the audio qubit sequence, or a combination of probability scores for both the video qubit sequence and the audio qubit sequence meet a threshold, then an alert is generated to identify possible malicious activity at the location of a CCTV camera capturing the real-time data.

Quantum computing-based video alert system

Systems, methods and apparatus are provided for altering a static password between entry and authentication using a dynamic logic. A client application may receive entry of a user password and record an amount of pressure associated with the entry. The client application may dynamically select a virtual contact surface material and generate audio files corresponding to writing or typing the password characters on the selected surface material with the recorded amount of pressure. The client application may compress the audio files by embedding them within the same digital space according to a time-based logic. The dynamic password files may be routed to a central server. Data packet fragmentation may further improve security during transmission. The central server may reconstruct the password for authentication using the time-based logic.

Dynamic password generation

Embodiments of the invention are directed to systems, methods and computer program products for utilizing resources from multiple sources to complete a resource distribution. The invention may receive a distribution request from an entity, where the distribution request includes information identifying a first resource distribution device provided by a user to the entity, a first source associated with the user, and a request amount of resources. The invention may determine whether the requested amount of resources is greater than a first amount of resources in the first source, determine whether the first resource distribution device is associated with one or more other sources associated with the user, and determine whether a sum of the first amount of resources in the first source and a second amount of resources in the one or more other sources is greater than or equal to the requested amount of resources.

System for utilizing resources from multiple sources to complete a resource distribution

Systems and methods for determining the impact of a modification made to an API is provided. The system may include an association rule learning subsystem and a recommender subsystem. The association rule learning subsystem may receive input from an API, a metadata processor and a plurality of production logs. The API may include a plurality of API elements. The association rule learning subsystem may link each API element with one or more data elements retrieved by the metadata processors based on data retrieved from the plurality of production logs. The association rule learning subsystem may create and output a tree of API elements and linked data elements. A recommender subsystem may receive the tree. The recommender subsystem may prioritize the data elements included in the tree based on data element severity, data element frequency and data element complexity. The recommender subsystem may select a prioritized subset of the data elements.

Model to recommend impacted systems

A memory stores a first log and a collection of queries. A processor accesses a second log that includes a first, second, third and fourth historical query, determines that the first and second historical queries belong to a first similarity group and the third and fourth historical queries belong to a second similarity group, and ranks the queries within groups based on static and dynamic features. The processor further determines the third historical query is frequently submitted and copies the highest ranked similar queries into the collection. The processor receives a first database query, stores it in both logs, determines it is not similar to queries stored in memory, further determines that it belongs to the first similarity group, copies the highest ranked similar queries to the first log, and returns a report containing the similar queries. The processor further receives and executes a second query selected from the report.

Database query tool

A system provides a webpage dynamically generated based on a disability of a user. The system detects a particular disability of a user attempting to access a webpage using a user device. The system sends a request to a server to modify the webpage based on the particular disability. The system determines whether the particular disability exists in a disability type database. In response to a determination that the particular disability does not exist in the disability type database, the system retrieves configurations to modify the webpage for the particular disability from the disability guideline database. The system dynamically modifies the webpage for the particular disability using the retrieved configurations. The system sends the dynamically modified webpage to the user device. The system displays the dynamically modified webpage on the web browser on the user device.

Real-time disability identification and preferential interaction modification

Systems, computer program products, and methods are described herein for providing real-time intelligence engine for data asset discovery. The present invention is configured to receive an indication that a first user has initiated a creation of a first multi-dimensional cube using a first computing node; initiate an asset recovery engine on the first computing device to: compare attributes associated with the first multi-dimensional cube with attributes associated with the multi-dimensional cubes stored on the first edge computing unit of the first computing node to determine a match; retrieve a first configuration file associated with the subset of the one or more multi-dimensional cubes stored on the first edge computing unit of the first computing node; and execute the creation of the first multi-dimensional cube based on the first configuration file using the first computing node.

Real-time intelligence engine for data asset discovery

Aspects of the disclosure relate to real-time knowledge-based widget prioritization and display. A computing platform may detect, via a computing device, a voice-based interaction between an enterprise agent and a customer. Then, the computing platform may cause, via the computing device, the voice-based interaction to be captured as audio data. The computing platform may then transform the audio data to textual data. Subsequently, the computing platform may identify, in the textual data, a customer query. Then, the computing platform may retrieve, in real-time and based on the voice-based interaction and from a repository of widgets, a first widget, where the first widget includes information at least partially responsive to the customer query. Then, the computing platform may display, to the enterprise agent and via a graphical user interface in use by the enterprise agent, the first widget.

Real-time knowledge-based widget prioritization and display

Aspects of the disclosure relate to computing systems for receiving user requests through channels of a webpage and performing computational functions corresponding to the user requests. In one embodiment, a computing platform may detect a change corresponding to input parameters for performing a user request through a first representation of a webpage. The computing platform may update, based on the detected change corresponding to the input parameters, a natural language processing application associated with a second representation of the webpage. The computing platform may generate, based on the updated natural language processing application associated with the second representation of the webpage, a logical table including one or more questions to ask a user through the second representation of the webpage in response to one or more user inputs.

Auto identification and mapping of functional attributes from visual representation

A system includes devices, first and second cluster servers, and a global server. The first cluster server updates a second set of parameters for the first device and a first set of parameters for the second device. The second cluster server updates a fourth set of parameters for the third device and a third set of parameters for the fourth device. The global server updates the first set of parameters and the second set of parameters for the second cluster server and updates the third set of parameters and the fourth set of parameters for the first cluster server.

Growing community of inventors

Hyderabad Telangana, India

Gaurav Bansal