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"Why are macroeconomists like myself so interested in and excited by Julia? Because our models are complicated. It’s easy to write the problem down, but it’s hard to solve it – especially if our model is high dimension. That’s why we need Julia."
"Solvency II compliant models in Julia are one thousand times faster than IBM Algorithmics, use 93% fewer lines of code and took one-tenth the time to implement.”
Dig Insights is a tech-enabled insight and strategy consultancy that's on a mission to help insights teams answer the question, 'what next?'. Dig empowers its team of researchers, analysts, data …
Fundmetric is an AI data ecosystem that connects siloed data, enabling teams to maximize lifetime giving, and increase predictability of revenue. Use first-party behavioral data and machine learning to cultivate …
Hortonworks is a leading innovator in the industry, creating, distributing and supporting enterprise-ready open data platforms and modern data applications. Their mission is to manage the world’s data. They have …
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