Analytics

my first n8n workflow, as a knowledge scientist, it felt like I used to be cheating.I could connect with APIs without reading 30-page docs, trigger workflows from Gmail or Sheets, and deploy something...

content online focuses on how it might be applied in Product or Marketing — the 2 most typical fields where data scientists create great value. Nevertheless, working at a startup, I’ve needed to...

Embedded analytics refers to integrating interactive dashboards, reports, and AI-driven data insights directly into applications or workflows. This approach lets users access analytics in context without switching to a separate BI tool. It’s a...

AI-based solutions have gotten increasingly common, but those in the safety industry have been leveraging AI for years—they’ve just been using the word “analytics.”  As businesses seek recent ways to make use of AI...

If me for some time, you almost certainly know I began my profession as a QA engineer before transitioning into the world of data analytics. I didn’t go to high school for it,...

Jay Allardyce is General Manager, Data & Analytics at insightsoftware. He's a Technology Executive with 23+ years of experience across Enterprise B2B corporations similar to Google, Uptake, GE, and HP. He can be the...

Why construct things the hard way when you may design them the smart way? As a Supply Chain Data Scientist, I’ve explored various frameworks like LangChain and LangGraph to construct AI agents using Python. The illustration...

Joseph Mossel is the CEO of Ibex Medical Analytics. His profession within the tech industry spans greater than 20 years, commencing in software development and product management followed with leadership positions in startups, large...