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 ...

How Orchestration Helps Solve The Data Challenge Behind The Next Wave Of Automotive AI

The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...
Tech Xplore on MSN

Discrete spatial diffusion models data while obeying scientific principles

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
TechRepublic

Data Modeling vs. Data Analysis: An In-Depth Comparison

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...
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 ...
eWeek

What Is Data Modeling? Types, Techniques & Examples

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
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 ...
Smithsonian Magazine

What Data Scientists Learned by Modeling the Spread of Covid-19

A Covid-19 restrictions sign hangs outside a supermarket in Austin, Texas. Lauren Ancel Meyers at the University of Texas at Austin has shared her team’s modeling results with city officials who make ...