article thumbnail

How Contextual Data is Driving the Future of Telehealth

TDAN

The expansion of big data applications has created opportunities across economic sectors. In healthcare, however, the potential of big data applications goes far beyond the financial. The contextual data gleaned from big data can drive healthcare solutions and accessibility to new heights.

article thumbnail

ETL vs ELT in 2022: Do they matter?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data is ubiquitous in our modern life. Obtaining, structuring, and analyzing these data into new, relevant information is crucial in today’s world. The post ETL vs ELT in 2022: Do they matter?

Insiders

Sign Up for our Newsletter

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

article thumbnail

4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

Contextual data understanding Data systems often cause major problems in manufacturing firms. IBM built a workforce advisor that uses summarization and contextual data understanding with intent detection and multi-modal interaction. They are often disparate, siloed, and multi-modal.

article thumbnail

The Award Winning Formula: How Cloudera Empowered OCBC With Trusted Data To Unlock Business Value from AI

Cloudera

Through Cloudera, OCBC built a data lake and an Enterprise Data Science platform in a private cloud environment to introduce a more resilient infrastructure and platform capable of managing projects with increasing volume, variety, and velocity of data, while also enabling real-time analytics.

article thumbnail

Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

By feeding customer interaction data and financial transaction records into LLMs, OCBC Bank has developed AI-powered chatbots that provide personalized financial advice and support. The bank has also used GenAI to automate document processing, reducing manual effort and improving efficiency.

article thumbnail

Achieving Trusted AI in Manufacturing

Cloudera

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

article thumbnail

Alteryx works in generative AI for speedy analytics results

CIO Business Intelligence

The first, dubbed Magic Documents, applies AI to Alteryx’s Auto Insights feature, creating contextualized data visualizations in several forms, including PowerPoint, email and more. Alteryx’s AiDIN engine will power three new features, according to a company announcement Wednesday.