Palantir's key risks include government contract exposure and competitive threats from Snowflake, Databricks, and AI labs.

Palantir's success with AI projects, based on their tech and forward deployed engineering methodology, has led others to roll ...

Every evolution in software development has reduced the friction between an idea and a deployable application. AI may remove ...

For years, the promise of AI in software engineering has delivered incremental gains. Most organizations have adopted an ...

Enterprise AI agents deployment is stalling not on model capability but on MFA prompts, session tokens, and bot-detection ...

Anuj Tyagi's open-source innovations in cloud infrastructure, database automation and AI are improving enterprise reliability ...

Physical AI is a thing. It’s the process of embedding intelligence into quality assurance for critical assembly operations. We can say that, when compared to legacy techniques, physical AI cuts ...

This is the first piece in a new SiliconANGLE editorial series on sovereign artificial intelligence — covering the definition ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

Slapping AI on top of a broken workflow won't magically save you money — it just speeds up your existing operational mess.

The Tata Motors Passenger Vehicles CTO was recognised for leading the company's transition to software-defined vehicles, integrating OTA capabilities, advanced safety technologies and customer-centric ...