Sameep Mehta

System and method for robust GraphQL query evaluation

PERFORMING IN-CONTEXT LEARNING USING SELECT POOL ENTRIES

CAUSALLY-AWARE ATTRIBUTE CONTROLLED STATEMENT GENERATION IN LANGUAGE MODELS

MODIFYING DATA PIPELINE AND DATASET QUALITY USING DATA OBSERVABILITY

SEMANTICALLY SIMILAR HISTORICAL EXAMPLE BASED DATA TRANSFORMATION

AUTOMATIC GENERATION AND UPDATION OF DIALOG FLOWS WITH NEW CAPABILITIES

TRAINING FOUNDATION MODELS ON TABULAR DATA

IDENTIFYING TRANSFORMATIONS IN DATA FABRIC USING COUNTERFACTUAL EXPLANATIONS OF ENTITY MATCHING

OPTIMIZING GOVERNED DATA TRANSFER IN A MULTI-CLOUD ENVIRONMENT USING LINEAGE DATA

GENERATION OF DATA TRANSFORMATIONS USING FINGERPRINTS

Entity explanation in data management

FINDING SIMILAR PARTICIPANTS IN A FEDERATED LEARNING ENVIRONMENT

ONLINE FAIRNESS MONITORING IN DYNAMIC ENVIRONMENT

WORKFLOW SIMULATION WITH ENVIRONMENT SIMULATION

Distributed Entity Re-Resolution Based on Streaming Updates

Automatically orchestrating a computerized workflow

AUTOMATED MODEL LINEAGE INFERENCE

GENERATING SMART AUTOMATED DATA MOVEMENT WORKFLOWS

SELECTING BEST CLOUD COMPUTING ENVIRONMENT IN A HYBRID CLOUD SCENARIO

EFFECTIVE PERFORMANCE ASSESSMENT

PRIORITIZED DATA CLEANING

ADJUSTING MACHINE LEARNING MODELS BASED ON SIMULATED FAIRNESS IMPACT

AUTOMATED FAIRNESS-DRIVEN GRAPH NODE LABEL CLASSIFICATION

PRIVACY-PRESERVING CLASS LABEL STANDARDIZATION IN FEDERATED LEARNING SETTINGS

Automated classification of data types for databases

DATA MODEL BASED SIMULATION UTILIZING DIGITAL TWIN REPLICAS

AUTOMATIC DATA DOMAIN IDENTIFICATION

Bucketing records using temporal point processes

FEDERATED LEARNING DATA SOURCE SELECTION

FEDERATED DATA STANDARDIZATION USING DATA PRIVACY TECHNIQUES

IDENTIFYING ANOMALOUS TRANSFORMATIONS USING LINEAGE DATA

Ordering annotation sets for machine learning

Factchecking artificial intelligence models using blockchain

GENERATION OF TRAINING DATA FROM REDACTED INFORMATION

AUTOMATED DATA QUALITY INSPECTION AND IMPROVEMENT FOR AUTOMATED MACHINE LEARNING

Extract-transform-load script generation

QUALITY ASSESSMENT OF MACHINE-LEARNING MODEL DATASET

Neural-based ontology generation and refinement

Generation of lineage data subset based upon business role

Content modification using natural language processing to include features of interest to various groups

Artificial intelligence certification of factsheets using blockchain

Generating explanations for context aware sequence-to-sequence models

Guiding customized textual persuasiveness to meet persuasion objectives of a communication at multiple levels

Determining data representative of bias within a model

Determining model-related bias associated with training data

DEEP-LEARNING MODEL CREATION RECOMMENDATIONS

Generation and management of an artificial intelligence (AI) model documentation throughout its life cycle

Domain aware explainable anomaly and drift detection for multi-variate raw data using a constraint repository

Annotation task instruction generation

Generating a framework for prioritizing machine learning model offerings via a platform

Deep learning model insights using provenance data

Automatic summarization with bias minimization

AUTOMATIC SUMMARIZATION WITH BIAS MINIMIZATION

Operations to transform dataset to intent

Secure distance computations

Schema-free in-graph indexing

Historical state snapshot construction over temporally evolving data

Expanding entity and relationship patterns to a collection of document annotators using run traces

Optimizing cloud service delivery within a cloud computing environment