Setting realistic expectations and taking lessons from previous tech trends can help you plan for successful AI programs.

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 ...

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 ...

With high-quality, timely data for your business intelligence and AI/ML initiatives, you can improve business efficiency, mitigate risks, enhance the customer experience, and improve insights for ...

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.

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 ...

TDWI research indicates that a growing number of companies are collecting 100s of terabytes and petabytes of data. This includes structured data as well as text data, machine data, image data, and a ...

As organizations evolve their data infrastructures to support modernization efforts, they are often dealing with multiple engines and data repositories, including cloud data warehouses and data lakes ...

Modern businesses thrive on collaborative environments that allow knowledge workers to easily share data-driven insights. Today’s analytics environments are revolutionizing how teams collaborate on ...

Mark Madsen, president of Third Nature and TDWI faculty member, joins host Andrew Miller to discuss real-time data integration - including defining "real-time", which technologies organizations are ...