A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

There is a widening gap between the sophistication of manufacturing data models and the reality of the production line.

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

SQL is still the connective tissue of every modern data stack—from cloud warehouses to mobile apps. Recruiters know it, too: employer demand for SQL skills grew 46% year-over-year, according to labour ...

It's clear that AI agents are only as good as the data behind them. Now, Google Cloud databases are being rebuilt to feed ...

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

Omni Analytics Inc. today announced that it has closed a $120 million funding round at a $1.5 billion valuation, more than ...

Oracle has expanded its partnership with Google Cloud to give joint customers new ways to operationalize AI across enterprise data. Under the expanded partnership, the Oracle AI Database Agent for ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

If you are a CIO or CISO evaluating an agentic AI platform, ask the same questions you would ask about any enterprise ...

Failed NEET 3 times? No JEE rank? No coding background? Read how Sanjay B. became a Data Scientist at Syngenta without a ...

Inductive Automation and Tiger Data, the creators of TimescaleDB, today announced a strategic alliance to modernize the industrial historian market. The collaboration brings together two platforms ...