Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

Oracle expands its AI database security strategy with new data protection, patching, and cyber resilience tools to help ...

IBM is introducing a variety of AI tools to IBM SQL Data Insights Pro (SQL DI Pro), generally available as of March 2026, offering semantic search, similarity discovery, anomaly detection, and unified ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Explaining how to sort data from a database (a warehouse of information) into your preferred order (using the ORDER BY clause). Dates: Day before yesterday → Yesterday → Today ... (in chronological ...

After a banner year for the “promise of progress” on AI ambitions, deepening CX fatigue, and ongoing economic volatility, Forrester is predicting 2026 will bring a year of reckoning. According to ...

SQL skills are essential for high-demand roles like data analyst, business analyst, data scientist, software developer, and database administrator. Mastering SQL enables professionals to efficiently ...

DataStax, an IBM company, provides integrated AI dev platforms that let you harness data in your app without building a complex tool stack. Interacting with databases often requires a level of ...

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...