This TDWI Insight Accelerator considers the challenges that organizations are facing with diverse, distributed data types and explores techniques and approaches that can help data engineers overcome ...

Experts from Informatica joined DBTA's webinar, Emerging Data Management Foundations for AI Agent Success, to assess the implications that adopting AI agents has on data infrastructure, offering best ...

To win in AI, you need many expensive, technical building blocks. Google has almost all of these. Apple has very few.

Most data products fail not because of bad data – but because nobody uses them. Here's how to build tools that actually drive decisions and get adopted.

In fragmented data landscapes, a unified catalog is essential for data discovery, understanding, and governance. Historically ...

In another installation of the new webinar series brought to you by DBTA and Radiant Advisors-also sponsored by Quest and TimeXtender-John O'Brien, principal advisor and CEO, Radiant Advisors, ...

Especially, neglecting confidentiality constraints in the software architecture leads to severe issues ... considering confidentiality in architectural design phases by means of data processing ...

The question, if an application independent processing of sensor data is feasible is discussed and the most important aspects for the design of the system architecture are given. This provides the ...

And most importantly, to restore trust across systems, teams, and the data that binds them.For nearly twenty years, Hari ...

Abstract: In the practice of cloud manufacturing, there still exist some major challenges, including: 1) cloud based big data analytics and decision-making ... This paper proposes an open evolutionary ...

With advanced data analytics, asset managers can survive ... With its decentralized, tamper-proof data architecture, blockchain can secure transaction records. Blockchain could help buy-side ...

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, ...