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7 Python Statistics Tools That Data Scientists Actually Use in 2025 - KDnuggets

KDnuggets

While NumPy and Pandas are great, to get the most out of them, you should also use Statsmodels for tasks like simple linear regressions, forecasting, time series analysis, and more. It offers tools for linear and nonlinear regression, time series analysis, and statistical tests. Learn more: [link] 6.

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

In retail, poor product master data skews demand forecasts and disrupts fulfillment. Publish metadata, documentation and use guidelines. Regularly reviewing these metrics, publishing dashboards and iterating in sprints allows organizations to gauge progress, identify emerging issues and refine strategies accordingly.

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The AI-native generation is here. Don’t get left behind

CIO Business Intelligence

Generally speaking, the closer the AI is to your companys core revenue activities such as manufacturing a product or forecasting sales the more rigorous your standards for adoption should be, since the business impact of an incorrect output is greater. This article is published as part of the Foundry Expert Contributor Network.

Metrics 126
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Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

Currently, shes working on learning and sharing her knowledge with the developer community by authoring tutorials, how-to guides, opinion pieces, and more. Bala also creates engaging resource overviews and coding tutorials. More On This Topic Data Warehouses vs. Data Lakes vs. Data Marts: Need Help Deciding?

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Why Should Business Users WANT to be a Citizen Data Scientist?

Smarten

The world-renowned technology research firm, Gartner, has published reams of research on the Citizen Data Scientist phenomenon. Here are just two of their many strategic predictions. ‘…the number of citizen data scientists will grow five times faster than the number of expert data scientists.’

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Unlocking business transformation through agentic AI

CIO Business Intelligence

In this pilot, store managers and inventory clerks use the new system to forecast demand and automate re-ordering. The CAF is a leadership community of the  IASA , the leading non-profit professional association for business technology architects.   This article is published as part of the Foundry Expert Contributor Network.

Insurance 115
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Agentic RAG AI: Why It’s the Future of BI Insights and Analytics Tools

Jet Global

With BI, this could mean sharing financial forecasts or customer dataan unthinkable risk. Data Exposure Risks Public AI models require training on external data, exposing sensitive dashboards, proprietary metrics, and client information to unknown entities. Vendor Lock-In Kills Innovation Todays leading LLMs might not reign tomorrow.