As AI projects move into production, small IT teams are taking a closer look at when cloud — or on-prem — makes the most sense.

With more businesses relying on AI agents, they’ll need to adapt their security strategies to include the management of nonhuman identities.

As cyberattacks grow more aggressive, small businesses can take practical, scalable steps to strengthen defenses at any stage of the zero-trust journey.

Snowflake’s Artin Avanes explains why governance should be built into a small business’s data foundation to achieve artificial intelligence success.

Legacy applications can slow growth and increase risk for small businesses. Here’s how IT leaders can modernize apps without overwhelming lean teams.

The cloud isn’t a plug-and-play, cost-saving machine, but with a strategic approach to FinOps, SMBs come out ahead financially.

IT leaders at small businesses should evaluate virtualization options such as VMware ESXi, Microsoft Hyper-V and Nutanix AHV based on their workloads, budgets and operational realities.

Technical debt can limit the returns small businesses can garner from investments in artificial intelligence while reducing efficiencies and speed to innovation.

The number and variety of endpoints are growing. A security-first approach to daily workflows can reduce risk for small businesses.

Small businesses can bolster their security strategy by enforcing stricter user authentication.

Even with limited resources, SMBs can use artificial intelligence centers of excellence to drive smarter decisions, improve efficiency and scale innovation.

As part of data governance, small-business leaders must understand the contextual components of their data.