International Business Machines Corporation

Kyndryl, Inc.

Gautam K Bhat

Gregory J Boss

Kevin Charles Mcconnell

Minh Q Pham

Stacey C Ramos

Nalini M

Muniyandi Perumal Thevar

Sarita Lavania

Sudhanva Kulkarni

Michael Bender

Rhonda L Childress

Nalini Muthurajan

Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises receiving and storing input data from at least two users; calculating a risk score for each identified risk in the received data based on priority risk factors affecting respectively identified risks; dynamically optimizing a risk analysis of the received input for multiple users within a user interface of a computing device by recalculating risk scores based on the received data and identified risks; and generating a notification for the user interface of the computing device based on the dynamic optimization of the risk analysis of the received input.

Dynamic risk based analysis model

A computer-implemented method, computer system, and computer program product for managing a database are disclosed. Features thereof include selecting data lines for analytics, each data line including original data, and adding, to each of the selected data lines, a set of additional bytes to represent metadata about a corresponding one of the data lines. The features further include receiving a request to receive a first data line, and reading a first set of additional bytes corresponding to the first data line.

Built-in analytics for database management

Methods, computer program products, and/or systems are provided that perform the following operations: reading lines of code included in a collection of source code; identifying an assigned tag in the collection of source code; identifying a start tag location and an end tag location associated with the assigned tag, wherein the lines of code included between the start tag location and the end tag location identify a code block; processing the code block to generate logging data for the code block based, at least in part, on the assigned tag; and providing the logging data for linking to executable byte code compiled from the collection of source code, wherein the logging data is used to log code data relating to the code block during execution of the executable byte code.

Intelligent logging and automated code documentation

Techniques for data evaluation using machine learning are provided. A textual document is received, and the textual document is parsed using a recurrent neural network (RNN) to extract a plurality of keywords. A first subset of keywords which are known by a user and a second subset of keywords which are unknown by the user are each identified. A summary of the textual document is generated based on the second subset of keywords. The summary is output, comprising: outputting information related to a first keyword of the second subset of keywords and, upon determining that the first keyword is understood by the user, outputting information related to a second keyword of the second subset of keywords.

Effective text parsing using machine learning

A method, computer program product, and system includes a processor(s) obtaining real time data related to an agricultural site by continuously monitoring remote data collection entities at the agricultural site, which include satellites, ground monitoring stations, and sensors. The processor(s) determine which data of the real time data can be utilized in subsequent decisions and accumulate a portion of the real time data in a data store, based on a timestamp of the portion indicating that the portion of the real time data is no longer current and is historical data. Based on obtaining a request for a recommendation, the processor(s) generate based on a cognitive analysis of the historical data, the real time data that can be utilized, and the agricultural data from the controlled environment, at least one agricultural model. The processor(s) determine the recommendation from the model and transmit the recommendation to the client.

Cognitive based decision support system for agriculture

A processor may receive an indication form a radio frequency identification (RFID) device that a mobile device is in a predetermined area. The processor may send a private key on a first frequency at a first time to the mobile device. The processor may receive a communication request from the mobile device that may contain a public decryption key. The processor may send encrypted configuration information and encrypted state information to the mobile device. In some embodiments, an RFID device, may identify that a mobile device is within a predetermined area. The RFID device may send a tag to the mobile device. The RFID may send a notification to a communicator that the tag has been sent. The RFID may acquire the encrypted configuration information and encrypted state information form the communicator. The RFID device may push the encrypted configuration information and the encrypted state information to the mobile device.

Secure communication with a traffic control system

Systems and methods for alerting a driver to a status of a traffic signal are disclosed. A computer-implemented method includes: detecting, by a computing device, that a vehicle is stopped at an intersection with a traffic signal; determining, by the computing device, an attention focus area of a driver of the vehicle; determining, by the computing device, a target display device based on the determined attention focus area; and causing, by the computing device, the determined target display device to display information to alert the driver of a status of the traffic signal.

Using automobile driver attention focus area to share traffic intersection status

A method of processing audio through devices connected in a network. The devices include at least a device of a first user and at least one of the devices is a device of another user. The devices comprising at least an audio sensor for detecting audio from the other user, and the device of the first user comprising a processor coupled to at least a speaker for outputting audio. The device of the first user monitors audio from at least one audio sensor on a device of another user for preferences selected by the first user. When the device of the first user detects a preference within the audio, the device of the first user sends a notification to the first user regarding preference detected; and based on an input from the first user, plays the audio for the first user through the speaker.

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Kadri, India

Gautam K Bhat