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Don’t call it technical debt unless you’re going to go back and fix it. Otherwise, you’re just giving the team permission to do things the wrong way.
Enterprises should look at cost-effective alternatives like private clouds, colocation, managed service providers, or hybrid solutions.
Developers don’t need open office spaces that foster spontaneous collaboration. They need a quiet place for deep concentration.
Most organizations lack the foundational infrastructure needed to deploy AI agents effectively, with fragmented knowledge access and security concerns the biggest barriers.
Application modernization isn’t a one-time project but an ongoing commitment to innovation. Here’s how to get started.
Faced with political uncertainty and complex global supply chains and regulations, smart enterprises will be proactive with their cloud strategies.
DeepSeek and OpenAI’s o1 models performed the best across the various benchmarks, but all models still struggle in a range of tasks, so there is much more work to be done.
AI benchmarking is critical to determine performance, but results can be irrelevant to enterprise workflows; enterprise buyers should consider benchmarks, but also perform company-specific evaluations.
The software industry has known for decades that rewriting a system from scratch is never the right solution. The bigger the system, the worse the mistake.
A strong AI governance defense does more than reduce risks: it drives the offense, and the offense is what delivers value.
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