Bitext

JANUARY 20, 2025

In the era of data-driven decision-making, Knowledge Graphs (KGs) have emerged as pivotal tools for structuring, organizing, and interconnecting vast amounts of information. From enhancing search engine capabilities to powering AI-driven insights, KGs rely heavily on extracting, interpreting, and linking data elements with precision.

Chatbots 52

Chatbots Linked Data AI Chatbots AI 52

ODSC - Open Data Science

APRIL 27, 2023

In a recent study, “Synthetic data in healthcare: a narrative review” , the researchers identified seven areas where synthetic data helps bridge the data gap: health IT development, public release of datasets, simulation and prediction research, linking data, education and training, hypothesis, methods, and algorithm testing.

Machine Learning 52

Machine Learning Data Science Deep Learning Linked Data 52

Allen AI

MAY 30, 2023

In general we believe that AI making judgments/predictions based on limited information and context is risky, especially with the increasing popularity of chatbots.

Computational Linguistics 52

Computational Linguistics Linked Data Chatbots NLP 52

Bugra Akyildiz

DECEMBER 3, 2022

An excellent example is in the following where the chatbot helps the engineer to debug a problem. You can interact with the chatbot in the following website: [link] Some of the limitations are in the following: ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers.

OpenAI 52

OpenAI ChatGPT Data Drift Robotics 52

Flipboard

NOVEMBER 27, 2024

In the context of enterprise data asset search powered by a metadata catalog hosted on services such Amazon DataZone, AWS Glue, and other third-party catalogs, knowledge graphs can help integrate this linked data and also enable a scalable search paradigm that integrates metadata that evolves over time.

Metadata 146

Metadata Auto-complete Data Discovery ML Engineer 146