Why AI Threat Models In Finance Must Follow The Data, Not The Code

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
Forbes

The Rise Of Large Database Models

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
TechRepublic

The different data model types and their uses

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...
dbta

The Importance of Canonical Data Models

An enterprise conceptual data model is often seen as a high mountain to be climbed, a journey that will last a lifetime. People have visions of 10 feet or more of wall in the corporate offices ...
dbta

Leveraging Data Models for Business Intelligence and Data Warehousing Agility

It has been widely documented - data is growing at astronomical rates. The amount of data your organization has is less important than how the data is being used. Is data growth hindering your ...
TechRepublic

How to use Excel’s Data Model to turn related data into meaningful information

How to use Excel’s Data Model to turn related data into meaningful information Your email has been sent Excel's Data Model feature allows you to build relationships between data sets for easier ...