Author archive for Kjell Carlsson, page 2

An exciting new trend is rising in enterprise data science, and it’s breaking down the silos between on-premises and cloud environments to unlock the benefits of each, all while improving collaboration and regulatory compliance. Advanced, model-driven companies—especially the ones that are out-innovating their competitors with machine learning and AI—are adopting hybrid cloud strategies for their data science initiatives. The most advanced are even repatriating data science workloads back on-premises, while simultaneously exploiting the flexibility of multiple cloud environments.

By Kjell Carlsson, Head of Data Science Strategy & Evangelism at Domino on April 27, 2022 in Perspective

It is finally time to kill the expensive, dangerous myth of the “Citizen Data Scientist” and shift attention to a neglected, real-life person that is already critical to your model-driven business today, and who will be even more important in the future – the “honorary” or part-time data scientist.

When it comes to scaling your AI capabilities, you need more graphics processing units (GPUs). They’re the fastest and most cost-effective way to train your deep learning models that power your AI applications. The parallel processing power of GPUs boosts performance for AI use cases ranging from natural language understanding (NLU) – such as speech recognition, text analytics, and virtual agents – to computer vision – such as defect detection, object recognition, and facial analysis. Indeed, they are critical for nearly every AI application built on unstructured and semi-structured data.

Pi Day is upon us and, while we celebrate “Pi” with pie, we mustn’t forget that other great “Pi” in our lives, which is, of course, Python! That programming language which has emerged as the de facto standard for production-grade data science, used by the majority of production-grade data scientists.