6 verified briefings on It Strategy. Each story includes a plain-English summary, why it matters, and the concrete action engineering teams should take.
Companies rushing to adopt AI are finding their biggest hurdle isn't the new technology, but their old, legacy systems. This technical debt prevents the data access and speed that modern AI models require to be effective.
The perception of cybersecurity is shifting. It's no longer just about preventing breaches with tools. Instead, a mature security program is now seen as a key indicator of a company's overall resilience, reflecting its ability to manage risk, control systems, and respond effectively to disruptions.
A top university CIO argues that security fails when it's hard to use. He says controls should be invisible to users, and the same principle must apply to new AI agents to keep them secure.
Following its acquisition, Broadcom has overhauled VMware's pricing and licensing, leading to significant price increases for many customers. These changes are disrupting long-standing IT strategies, forcing organizations to urgently reconsider on-premise infrastructure and accelerate decisions to migrate to the cloud.
CIOs are under intense pressure to deliver measurable returns on AI investments. A new survey reveals a significant challenge: only 19% of AI projects are meeting their intended goals. This is forcing a shift from broad experimentation to prioritizing and scaling solutions that demonstrate clear business value.
A new presentation outlines a strategic shift from DevOps to platform engineering within regulated industries. The approach focuses on aligning platform KPIs with board-level business goals, reducing developer cognitive load through custom team structures, and using open-source technology to ensure innovation sovereignty and efficiency.