Sponsored Content
Sponsored content is a special advertising section provided by IT vendors. It features educational content and interactive media aligned to the topics of this web site.
HPE & Intel: Harness AI
Learn how HPE & Intel are pioneering advancements in artificial intelligence (AI) and machine learning (ML) technologies. As a global leader in semiconductor innovation, Intel continues to drive the evolution of AI across diverse industries, from healthcare and finance to autonomous vehicles and edge computing. Explore the latest developments and strategies shaping the future of AI-driven technologies.
-
Why ethical use of data is so important to enterprises
Enterprises that don't use data ethically have a lot to lose. To maintain their businesses' trustworthiness and value, executives...
-
Domo adds App Catalyst to platform to aid AI development
By combining natural language code generation with enterprise-grade security and governance, the vendor aims to help customers ...
-
Inside a CIO's mind: Mastering time and knowing the business
CIO Sean McCormack explains how he balances strategy, vendors and frontline engagement -- and why his to-do list lives on his ...
-
CIOs are feeling the pressure of the AI leadership gap
In this Q&A, Wendy Lynch, founder of Analytic Translator, discusses how CIOs need to close a leadership gap to overcome the huge ...
-
Databricks launches PostgreSQL Lakebase to aid AI developers
Resulting from the $1B acquisition of Neon, the database built for AI workloads -- including separate compute and storage -- is ...
-
Pentaho update aids data integration, semantic modeling
The vendor's latest platform update aims to speed, simplify and better govern workloads to help customers build a trusted ...
-
Who's really governing enterprise systems: IT or leaders?
Across ERP, HR software and mobile platforms, governance decisions are being set earlier, often before organizations realize ...
-
C-suite should make AI data management the 2026 ERP priority
Aligning data lakehouses with those of ERP vendors and data partners is important, but it won't be enough without silo-busting ...