Companies in the financial services industry are in a race to maximize the value of often enormous volumes of varied data, especially with AI. They need to turn data into actionable insights to drive ...

AI talent is scarce; builders and highly skilled users are in low supply. Data science was once the same. In the mid-2010s, my company Pandata (acquired by Further in 2024) helped solve the data ...

Evan Levy, industry consultant and partner at Integral Data, LLC, joins host Andrew Miller to go through a data governance bootcamp - including the importance of data governance, real-world examples, ...

Many organizations are planning applications for generative AI, but for AI to be successful, the organization’s data must be trustworthy. As organizations continue their journey to generative AI, new ...

Generative AI is transforming the way enterprise data scientists extract insights from data and deliver these insights to business teams. To accelerate analytics endeavors, data science teams are ...

As data sources grow in size, number, and complexity, your enterprise must learn how to get the most from all its data. This section focuses on techniques and best practices for unifying and ...

Sophisticated AI applications are at the heart of modern business go-to-market strategies. When deployed into customer-facing applications, AI can power better sales performance, more effective ...

Where data, analytics, and AI teams go to transform their strategy, skills, and careers.

The digital business era, driven by artificial intelligence (AI) and generative AI (gen AI), demands unified, interoperable data to overcome challenges like data integrity and control concerns. IDC’s ...

Are you ready to remove data silos quickly and create unique customer profiles for accurate segmentation? The latest white paper from Ventana Research reveals how you can achieve these goals and more.

If you have an older, traditional MDM system, it may be holding you back now. Not only do these systems often lack the scalability and performance needed for today’s massive data volumes, but they ...