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Data Science Magazine Cover - Issue 3
Some of this issue’s contributors include:
  • AI the World Can Trust: Bridging the Gap Between Data Science and Decision Intelligence With Neurosymbolic AI by James Duez from Rainbird
  • Transforming Freight Logistics with Advanced Machine Learning by Luís Moreira-Matias from sennder
  • Navigating the Future of Ads: Large Language Models and Their Impact on Programmatic Strategies by Javier Campos from Fenestra
  • Measuring the Effect of Change on Physical Assets by Colin Parry from Head for Data
  • How Language Models Are the Ultimate Database by Francesco Gadaleta from Amethix Technologies
  • Using LLMs in Language for Grammatical Error Correction (GEC) by Bartmoss St. Clair from LanguageTool
  • Leveraging Context for Sustainable Competitive Advantage with GenAI by Michel de Ru from Datastax

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Take a look at our previous issues…

Data Scientist magazine

Issue 1

November, 2022 Data Scientist magazine

Issue 2

February, 2023 Data Scientist magazine

Issue 3

May, 2023 Data Scientist magazine

Issue 4

September, 2023 Data Scientist magazine

Issue 5

November, 2023

Podcasts

We explore how the latest research in Data Science & AI could scale into broader industry applications so you can expand your knowledge and grow your career effectively in the real world.

Using Open Source LLMs in Language for Grammatical Error Correction (GEC)

Bartmoss St Clair

The Path to Responsible AI with Julia Stoyanovich of NYU

Julia Stoyanovich, NYU

Transforming Freight Logistics with AI and Machine Learning

Luis Moreira-Matias
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Blog

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Amsterdam – Data Science City: 7 Things About Amsterdam You May Not Know

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ChatGPT By Francesco Gadaleta

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What Is Causal Inference and Why Should Data Leaders and Data Scientists Pay Attention? By Graham Harrison

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