AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 130

Statistics Data Lake Optimization Data-driven 130

CIO Business Intelligence

NOVEMBER 16, 2023

Locally run open source models Boston-based Ikigai Labs offers a platform that allows companies to build custom large graphical models, or AI models designed to work with structured data. If AArete used a hosted model and connected to it via API, trust issues come up. We don’t want to take those risks.”

Modeling 139

Modeling Enterprise Sales Marketing 139

AWS Big Data

MARCH 13, 2024

Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted. To query the data with Athena, complete the following steps: On the Athena console, open the query editor.

Analytics 122

Analytics IoT Metadata Internet of Things 122

Cloudera

OCTOBER 17, 2023

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. Lastly, real-time processing and movement of multi structured data including prompts and embeddings is critical for harnessing the transformative power of AI.

Data-driven 79

Data-driven Enterprise IoT Data Warehouse 79

CDW Research Hub

JULY 31, 2019

Level 5 and beyond : at this level, contextual assistants are able to monitor and manage a host of other assistants in order to run certain aspects of enterprise operations. Natural Language Understanding (NLU) is a subset of NLP that turns natural language into structured data. && python -m spacy download en.

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

Ontotext

DECEMBER 6, 2024

Out of the box RAG struggles to connect dots, for questions that require traversing disparate chunks of data. RAG is less effective for structured data and performs poorly when there is a need to understand semantic concepts and relationships across documents or chunks. Ready to scale RAG from prototype to production?

Modeling 59

Modeling Cost-Benefit Experimentation Optimization 59