Remove Cost-Benefit Remove Knowledge Discovery Remove Modeling
article thumbnail

Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Data Lake 101
article thumbnail

Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

Over the next decade, the companies that will beat competitors will be “model-driven” businesses. These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. anomaly detection).

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. standards modeled in a knowledge graph!

article thumbnail

Three’s Company Too: Metadata, Data and Text Analysis

Ontotext

XML and later JSON were the languages that enabled data interchange by establishing a common data model by establishing a standard description of the data being shared. Separating the definitions of the metadata from the data had the benefit of simplifying validation and introducing flexibility. Metadata has immediate SEO benefits.

article thumbnail

KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. If we want to understand and describe how things work and relate, unambiguously exchange data, or reuse it, we need a semantic data model. Abstract art and knowledge graphs: embracing your mess!

article thumbnail

Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. million users.

article thumbnail

Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies

Ontotext

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. So we have built a dataset using schema.org to model and structure this content into a knowledge graph. Talk to Your Graph is user-friendly and easy to set up.