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

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 ...

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 ...

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 ...

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 ...

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 ...

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.

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 ...

To harness data’s full potential, organizations must ensure the integrity, availability, and efficiency of their data processes. They need to be able to track and observe the data flowing through ...