Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

This approach allows developers to create applications through natural language conversations rather than traditional ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

Applied Digital benefits from AI data center demand, a REIT shift, modular sites, hyperscaler deals, and a $1B NOI target.

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The company is positioning itself as a direct global competitor to established AI platforms like ChatGPT and Claude.

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

While new technologies emerge, the data confirms foundational technical skills remain the gatekeepers for employment. The "Big Three" by assessment volume are Algorithms, SQL, and Data Structures, ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Security researchers from Palo Alto Networks have discovered vulnerabilities used in some top Artificial Intelligence (AI) ...

From Power Query to the Data Model, here are the five architectural gaps that keep me paying for Microsoft 365.