Analysts

“I feel of analysts as data wizards who help their product teams solve problems”

You’ve written extensively about agentic AI and frameworks like smolagents and LangGraph. What excites you most about this emerging space? I first began exploring generative AI largely out of curiosity and, admittedly, a little bit...

Linq raises $6.6M to make use of AI to make research easier for financial analysts

When generative AI tools began making waves in late 2022 after the launch of ChatGPT, the finance industry was considered one of the primary to acknowledge these tools’ potential for speeding up the data-gathering...

Will Generative AI Replace the Need for Data Analysts?

But first, let’s start with some perspective. If we glance back to the introduction of business intelligence tools within the early 2000s, the nice value of those tools lies of their ability to offer...

Prompt Engineering Guide for Data Analysts

As you'll be able to possibly infer from the examples above, prompt engineering requires a really specific technical communication craft. When you still require business context and problem-solving skills, it continues to be a...

18 Ultimate Cheatsheets for Data Scientists, ML engineers and Analysts

All Cheatsheets you'll ever need for Data Science!Data Science requires a deep understanding of programming concepts, algorithms, and statistical models. While there isn't a substitute for hands-on experience and practice, having quick access to...

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