For most tech leaders, the decision to go multi-cloud or adopt edge computing isn’t about if, but how. The benefits are widely recognized: multi-cloud reduces vendor lock-in and offers pricing flexibility, while edge computing cuts latency and brings computing closer...
Engineering leaders today are facing a brutal equation: tighter budgets, scarce top-tier talent, and rising expectations for AI-driven products. The pressure to deliver more with less is real. Nearshore software development isn’t a new idea, but it’s evolved. Done...
Why chatbot demos impress, but rarely scale For many enterprises, AI exploration begins with a proof-of-concept. An LLM queries a dataset in plain English, the answers look sharp, and the demo sparks excitement about what’s possible. But when the same approach is...
How Attorney Share Scaled Their Platform Without Sacrificing Quality “Our QA engineer from Distillery is an MVP member of our team. They’ve developed deep knowledge of our product and our business. They’re a valuable thought partner when it comes to designing new...
Building and running a modern data team in 2025 takes a lot. The pace is fast, the expectations are high, and even with strong execution, it can be hard to know if you’re making meaningful progress. That’s why understanding the data leadership priorities in 2025...
Don’t launch another AI initiative until you know where your data’s been. There’s a strange irony in fintech right now: the sector that helped digitize banking is now being outpaced by its own ambition. Everyone’s talking about AI. Everyone’s talking about the next...
