As the construction of smart cities accelerates, "smart municipal management" has transitioned from concept to practice, with ...

The people closest to the data know the truth: messy, incomplete or poorly governed data cannot support effective AI. Yet ...

The modern data landscape demands sophisticated engineering solutions that can handle massive scale while maintaining operational excellence. As organizations increasingly rely on real-time analytics ...

Harsh Varshney, an engineer at Google, explains the biggest changes he's seen since the explosion of generative AI and his ...

Operational shortcuts during the exploration phase of a mining project’s development can lead to serious problems later in ...

Fear of competitors leveraging AI successfully, coupled with significant investments required in talent, infrastructure and ...

The global distributor decided to take ownership of its security data, liberating engineers and cutting costs.

Recently, discussions surrounding the practical implementation of AI projects have sparked widespread attention. This article focuses on the real-world challenges of AI applications in enterprises and ...

Shephard's Alix Valenti interviewed Project Kuiper's Don Brown at DSEI 2025, discussing the company's innovative approach to ...

The ETL frameworks Kishore Ande implemented ensured not only operational efficiency but also data quality—a critical prerequisite for advanced analytics and, eventually, artificial intelligence ...

Uber is aggressively pursuing top tech talent, particularly in AI, offering lucrative salaries, a recent report suggests. The ride-hailing giant's H-1B visa filings reveal a surge in hiring, with ...