17806307. INCREASING DATA DIVERSITY TO ENHANCE ARTIFICIAL INTELLIGENCE DECISIONS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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INCREASING DATA DIVERSITY TO ENHANCE ARTIFICIAL INTELLIGENCE DECISIONS

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Michael Boone of Lutz FL (US)

Jeremy R. Fox of Georgetown TX (US)

Tushar Agrawal of West Fargo ND (US)

Sarbajit K. Rakshit of Kolkata (IN)

INCREASING DATA DIVERSITY TO ENHANCE ARTIFICIAL INTELLIGENCE DECISIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17806307 titled 'INCREASING DATA DIVERSITY TO ENHANCE ARTIFICIAL INTELLIGENCE DECISIONS

Simplified Explanation

The patent application describes a computer-based method, system, and program for improving artificial intelligence decisions by increasing data diversity. Here are the key points:

  • The method involves generating a dataset of activities performed by workers at a facility.
  • A specific activity is selected, and a plan is generated for completing that activity based on the dataset.
  • Performance data is collected when the activity is completed using the generated plan.
  • The dataset is updated with the collected performance data.
  • The updated dataset is analyzed to identify areas where the efficiency of the plan can be improved.
  • Based on the analysis, recommendations are made to modify the initial plan.

Potential applications of this technology:

  • Enhancing decision-making processes in various industries such as manufacturing, logistics, and service sectors.
  • Optimizing resource allocation and task assignment in complex operations.
  • Improving efficiency and productivity in workforce management.

Problems solved by this technology:

  • Lack of diverse and comprehensive data for training artificial intelligence systems.
  • Inefficiencies in task planning and resource allocation.
  • Difficulty in identifying areas for improvement in existing plans.

Benefits of this technology:

  • Increased accuracy and effectiveness of artificial intelligence decisions.
  • Enhanced efficiency and productivity in completing activities.
  • Improved resource utilization and cost savings.
  • Ability to adapt and optimize plans based on real-time performance data.


Original Abstract Submitted

Provided is a computer-implemented method, system, and computer program product for increasing data diversity to enhance artificial intelligence decisions. A processor may generate a corpus of data for a facility, the corpus of data having activities performed by workers at the facility. The processor may select an activity to be completed. The processor may generate, based on the corpus, a first plan for completing the activity, the first plan having a set of tasks for completing the activity and a set of workers to perform the tasks. The processor may collect performance data that is generated when completing the activity using the first plan. The processor may update the corpus of data with the performance data. The processor may analyze the updated corpus of data to identify an aspect for improving efficiency of the first plan. The processor may recommend, based on the analyzing, modification of the first plan.

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