The new features, including connectors to third-party data sources, are aimed at making the AI assistant more useful for ...
OpenAI has unveiled GPT-5.6, its most advanced AI model family yet, though most users will have to wait as access remains tightly restricted.
Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
Excel still takes hours out of your week. You write the same formulas by hand, fix broken data, and copy numbers between tabs before any real work starts.
This is a phrase I see often lately. Certainly, AI and Python are attracting attention in the world. If you open YouTube, topics on automation and data analysis are lined up, and people are saying, ...
J. William Carpenter is an economist who writes financial topics. He is an author of published works for higher education and business clients. Katie Miller is a consumer financial services expert.
Abstract: Energy demand forecasting has emerged as a crucial area of research, driven by the need for accurate predictions of future electricity consumption. This is critically essential for the ...
Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...
So far Excel users had three ways to invoke Copilot. Microsoft has now decided that was three too many. In February 2026, the company retired App Skills entry points from the Excel ribbon and context ...
Evaluate the effectiveness of Microsoft’s Python Risk Identification Toolkit (PyRIT) for agentic AI red teaming. Address evolving autonomous AI system threats.
Excel is constantly changing, and this month, you can use the enhanced capabilities of Copilot and Python to speed up your workflow, focus on data analysis, and tailor the program to your requirements ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...