The hyperscalers now offer multicloud ops tools. Cloud-native tools sound good in theory, but here are a few other things to keep in mind. The rise of cloudops tools (such as AIops) is in full swing.

25% of organizations use 10 or more business intelligence (BI) platforms, 61% of organizations use four or more, and 86% of organizations use two or more according to Forrester. While the adoption of ...

Enterprises‌ ‌have‌ ‌struggled‌ ‌to‌ ‌collaborate‌ ‌well ‌around‌ ‌their‌ ‌data, which hinders their ability to adopt‌ ‌transformative‌ ‌applications‌ ‌like‌ ‌AI.‌ ‌ ‌The‌ ‌evolution‌ ‌of‌ ‌‌DataOps‌ ...

Data management, already of significant importance for operational and business intelligence purposes, has taken on a new level of priority for businesses and organizations as the wave of AI ...

I often drawn parallels between our industry and the TV show "How It's Made," explaining that we, control systems engineers, function behind those fascinating scenes, choreographing the intricate ...

Managing, moving, transforming and governing data for business applications and data analytics purposes has always been an important part of IT operations. But those chores have taken on a new level ...

Quest Software revealed it has acquired Erwin to expand its reach into the emerging DataOps realm. Terms of the deal were not disclosed. Erwin is a longtime provider of the data modeling and metadata ...

On a mission to lighten the workload for data scientists, Google LLC’s cloud division today announced a wave of new artificial intelligence tools designed to help them build the next generation of AI ...

In this series, we dive into technologies and industries we’re excited about, going deep into their change drivers and stakeholders while exploring investment trends and opportunities through an early ...

Product innovation is important for any business to thrive in today's competitive landscape. A core part of the agile process is constantly asking customers what they think and using their feedback to ...

For a simplistic view of data processing architectures, we can draw an analogy with the structure and functions of a house. The foundation of the house is the data management platform that provides ...