For the best web experience, please use IE11+, Chrome, Firefox, or Safari

Is Your Data Ready for AI? A 5-Step Guide to AI Success

With 83% of CIOs making AI a top priority, data readiness is critical for success. This infographic outlines the essential steps to prepare your data for AI—from building trusted datasets to implementing governance and scaling modern architectures.
View Infographic

You may also be interested in.

On Demand Webcast

From Legacy to Cloud: Data Modeling Essentials for Modern Analytics & AI

Learn why data modeling for modern data platforms is the critical first step in your journey.
On Demand Webcast

Introducing erwin Data Intelligence 15: Advance AI Governance and Use of Trusted Data

Successful AI outcomes demand confidence in the data and AI models you deploy throughout your organization. See the new capabil...
E-book

Data Lake Playbook for a seamless data lake adoption

Moving to a cloud data lake? Plan smart. Get our free eBook to avoid costly missteps and unlock your data's full potential.
White Paper

3 Major Hurdles You'll Face Managing Multiple Database Platforms (And How to Overcome Them All)

The complexity of managing multiple database platforms can hinder your organization’s efficiency. This white paper explores the...
E-book

The Case for Switching from SAP PowerDesigner to erwin Data Modeler

Before SAP PowerDesigner reaches end of life, explore switching to erwin Data Modeler for industry-leading support, connectivit...
White Paper

Data Modeling: Drive Business Value and Underpin Governance with an Enterprise Data Model

This white paper discusses data modeling and its business value across the enterprise. It also discusses the most common use ca...
White Paper

5 Database Migration Traps to Avoid

In this paper, we will explore five common traps that organizations fall into during database migrations and provide practical ...
White Paper

Quantifying the Value of Your Organization’s Data

Use this introduction to data valuation primer from Infonomics author Douglas B. Laney to understand the role of data valuation...