Author archive for Kjell Carlsson, page 2

Kjell Carlsson

Kjell Carlsson is the head of AI strategy at Domino Data Lab where he advises organizations on scaling impact with AI technologies. Previously, he covered AI, ML, and data science as a Principal Analyst at Forrester Research. He has written dozens of reports on AI topics ranging from computer vision, MLOps, AutoML, and conversation intelligence to augmented intelligence, next-generation AI technologies, and data science best practices. He has spoken in countless keynotes, panels, and webinars, and is frequently quoted in the media. Dr. Carlsson is also the host of the Data Science Leaders podcast and received his Ph.D. from Harvard University.


Tackle The Three Rs of Trustworthy AI for Ethical, Legal And Reliable Models

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

By Kjell Carlsson8 min read


Shattering the Myth of the Citizen Data Scientist

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.

By Kjell Carlsson6 min read


Serious About AI? You Need a GPU Strategy

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.

By Kjell Carlsson8 min read


Celebrate Py Day!

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.

By Kjell Carlsson3 min read

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