It’s not the tech that tanks AI projects — it’s the people and planning. The smartest companies are finally getting both ...

The authors report that the overwhelming majority of respondents identified data quality, rather than model sophistication, ...

For Chaikesh Chouragade, an artificial intelligence research scientist at ZZAZZ AI Solutions, this question has guided a career at the intersection of economics and technology.

Companies of all sorts run on information to handle services like news platforms, e-commerce and financial markets, and ...

Data is the new oil, and data engineers are its key refiners. With the explosion of big data, GCCs are investing heavily in ...

AI refers to a machine-based system and ML refers to a set of techniques that can be used to train AI algorithms (2) so ML ...

Ten years can feel like an eternity in AI, given the current furious pace of change. AI’s adoption has outpaced even the PC ...

Saptaparna Gupta's Data Quality Control Assessment (DQCA) proactively embeds quality checks into financial workflows, ...

In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery performance and innovation. Through stories from our own journey, we’ll share ...

In industrial engineering, digital twins—computer models of systems or processes—let scientists try out ideas before finalizing designs. In addition, on the factory floor, twins can model processes in ...