Hybrid data lakes enable joint querying across structured and un-structured data, but provide no guarantees that the two modalities are complete, aligned, or representative of each other. This work introduces profiling metrics that make these hidden

IBM Quantum is at the forefront of quantum technology, leading advancements in hardware, middleware, and software. Our cutting-edge 156-qubit Heron processor chip demonstrates unprecedented computational power, capable of addressing complex optimizat

Application to enhance the effectiveness of coaching experience.

AI-based method to detect slang in a speech in real-time and translate it into the slang of the recipient language based on context.

Create and manage source data in a data lake using IBM Cloud Storage instances, and build a data pipeline to extract raw data from the source.

Analyze and transform structured dataset as per user requirements using Apache Spark and Python. Engineer a data pipeline to extract the raw data from source, create and maintain the source data in Data Lake using IBM Cloud Storage Instances. Apply r

Automated evaluation and grading of answers leveraging IBM Data Prep Kit

GraphQL is a powerful query language for APIs that allows clients to fetch precise data efficiently and flexibly, querying multiple resources with a single request. However, crafting complex GraphQL query operations can be challenging. Large Language

explore different LLMs, different chunking strategies, evaluation metrics and protocols for agentic AI applications