The micro stage might not generate headlines, but it generates trust—and trust is the currency of effective AI. When done well, it ensures your models aren’t being sabotaged by hidden errors or ...

A recent survey by Gartner, Inc. indicates that organisations with high AI maturity are significantly more successful at ...

Confluent’s Data Streaming Report highlights that 91% of organisations are increasing their use of DSPs to deliver real-time, ...

Discover how to secure browser usage in enterprises, from GenAI risks to control enforcement, with a three-stage maturity ...

My recent journey along the Nile River in Egypt sparked an unexpected professional revelation. Standing on the deck of a ...

Deloitte announced the launch of its Human Capital AI solution suite, featuring Workforce Analyzer and Workforce Planner+.

To do that, we must rethink the way we approach data security, data quality and data governance. A Crossroads For AI Innovation A low-cost, open-source AI model means that high-quality LLMs are no ...

American Honda laid out a generative AI strategy in 2023, focused on immediate risks, bringing capabilities in-house, training and long-term planning. As the company advanced on its broader goals, ...

Also, with the world moving into the AI era, a best-in-class data resiliency model should be considered a foundational component of companies’ AI strategy. A rigorous, vendor-agnostic framework ...

Why data maturity matters for AI AI solutions are only as strong as the data feeding them. High-quality, well-managed data enables AI to: Identify patterns and trends Automate decision-making Deliver ...

Many small organizations within the Defense Industrial Base are struggling to meet the rigorous requirements validated through the Cybersecurity Maturity Model Certification, writes Thomas Graham, ...

Leverage Risk Management Frameworks – Use industry-standard frameworks such as NIST’s Risk Assessment Guide. Implement Data Discovery & Classification – Identify, label, and secure sensitive data ...