article thumbnail

Rocket Mortgage lays foundation for generative AI success

CIO Business Intelligence

Modernizing data operations CIOs like Woodring know well that the quality of an AI model depends in large part on the quality of the data involved — and how that data is injected from databases, data warehouses, cloud data lakes, and the like into large language models.

Data Lake 134
article thumbnail

TransUnion transforms its business model with IT

CIO Business Intelligence

Following its acquisition of Neustar, a Google Cloud Platform customer, TransUnion embraced a multicloud infrastructure that also supports GCP, but the crown jewel of its technology modernization is OneTru, and its 50 petabytes of data assets amassed over decades.

Modeling 114
Insiders

Sign Up for our Newsletter

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

article thumbnail

Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

article thumbnail

Understanding Structured and Unstructured Data

Sisense

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

article thumbnail

Data Swamp, Data Lake, Data Lakehouse: What to Know

Alation

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. Many organizations have built a data lake to solve their data storage, access, and utilization challenges.

article thumbnail

Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

Data is only useful when it is actionable for which it needs to be supplemented with context and creativity. Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. IoT, Artificial Intelligence and Healthcare.

IoT 56
article thumbnail

Why companies need to accelerate data warehousing solution modernization

IBM Big Data Hub

Unexpected situations like the COVID-19 pandemic and the ongoing macroeconomic atmosphere are wake-up calls for companies worldwide to exponentially accelerate digital transformation. Benefits of new data warehousing technology Everything is data, regardless of whether it’s structured, semi-structured, or unstructured.