Remove Analytics Remove Data Lake Remove Digital Transformation Remove Unstructured Data
article thumbnail

Understanding Structured and Unstructured Data

Sisense

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Unstructured data.

article thumbnail

Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Real estate CIOs drive deals with data

CIO Business Intelligence

But in reality, some of the largest, most established realty franchises, such as Re/Max and Keller Williams, have made all the right moves, pursuing digital transformations built on the cloud and primed to make the most of emerging AI opportunities. minutes from the moment the property is listed. billion in 2022.

article thumbnail

WEBCAST: Automated Business Surveillance for Enterprises with BRIDGEi2i’s Watchtower

bridgei2i

She further explains how the traditional BI systems which offers data visualization and building data lakes of structured and unstructured data, compliant with KPIs and analytics infrastructure may not be adequate to handle the data explosion.

article thumbnail

Belcorp reimagines R&D with AI

CIO Business Intelligence

The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. The team leaned on data scientists and bio scientists for expert support. That, in turn, led to a slew of manual processes to make descriptive analysis of the test results. “We

article thumbnail

What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Communication and political savvy: Data architects need people skills.

article thumbnail

Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents

AWS Big Data

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.