AI becomes valuable when someone elaborates upon a specific process, runs the numbers and decides whether to build or move on.
Not every problem is safe to troubleshoot without involving IT; some simple DIY “fixes” could introduce security risks or complicate the diagnosis of underlying issues.
Reliability comes from having a clear specification and a system that verifies whether the output meets it.
The principle behind zero trust is familiar: Trust nothing, verify everything. But AI agents make verification harder.
In practice, interoperability can be a surprisingly tough sell for manufacturers. This is likely due to a few reasons.
What if our devices become tools to prioritize wellness?
Fine-tuning is transforming SLMs from efficient components into high-performance, enterprise-grade systems.
The projects that generate the most excitement at go-live do not always deliver the greatest business value a year later.
Cognyte, which sells technology to snoop on phone locations largely in Israel and Europe, is making inroads in America by tricking out trucks with spy tech.
Systems thinking told you how things worked. Second-order thinking tells you whether your decisions will work out.