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While data management was labelled as one of the most critical elements for AI success, only 7% of organisations can run real-time data pushes/pulls and just 26% have set up data governance models and can run advanced analytics.

As we continue to integrate generative AI into our daily lives, it’s important to understand and mitigate the potential risks that can arise from...

Confluent, Inc. announced AI Model Inference, an upcoming feature on Confluent Cloud for Apache Flink®, to enable teams to easily incorporate machine learning into...

Nutanix announced the findings of its sixth annual global Public Sector Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with...

New Relic announced the general availability of New Relic AI monitoring with a suite of powerful new features to meet the evolving needs of...

Gartner, Inc. identified the top data and analytics (D&A) trends for 2024 that are driving the emergence of a wide range of challenges, including...

A new Lenovo AI-powered sustainability engine empowers businesses to help make more data-driven and sustainable IT buying decisions. Lenovo’s Intelligent Sustainability Solutions Advisor (LISSA)...

Honeywell unveiled Honeywell Forge Performance+ for Aerospace, a cloud-based platform that utilises AI and machine learning (ML) to help commercial aerospace manufacturing and maintenance,...

CommScope announced the immediate availability of a new suite of RUCKUS Networks solutions designed specifically to drive operational efficiency, sustainability and brand loyalty for...

The study revealed that age, gender and educational levels did not influence the surveyed educators’ cyber decisions