This video introduces guided projects as a highly effective method for building a professional data portfolio. By utilizing tools like Python, Power BI, and Tableau, viewers can follow step-by-step ...

Most text-to-SQL systems treat the task as translation. Feyn AI (YC-backed startup) reframes it around inspection. The Feyn team has released SQRL, a family of models that turn natural language ...

The most important AI chart for startups may not be the one showing larger models, higher benchmark scores or billion-dollar training runs. Representative AI infrastructure image. Photo by panumas ...

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

I've been thinking a lot lately about what it actually takes to make an AI agent genuinely useful for database work, both for administration and for application access to the data tier. Writing the ...

Artificial intelligence is changing how organisations use data. Tasks that once required complex queries and manual analysis can now be done in minutes with modern analytics platforms. Because of this ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. David Chisnall discusses how the CHERI ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice when building microservices. “It is tempting, if the only tool you have is ...

Data science continues to grow as one of the most in-demand fields across tech, business, and research. Professionals today look for programs that offer strong credentials, hands-on tools, and ...