To achieve these productivity gains, organizations must consider making process- and culture-specific changes alongside adding AI-powered tools. Here are three software development challenges that ...

Today, we are entering the most transformative phase yet, where AI doesn’t just support productivity but becomes a ...

Australia's labor productivity growth is at a 60-year low. Prime Minister Anthony Albanese plans a round table to address ...

Developers using AI tools took 19% longer to finish coding tasks, a METR study found, challenging assumptions about ...

AI is just as capable of increasing as it is reducing complexity. The impact of AI depends on where and how it is applied.

Slack launches comprehensive AI features including enterprise search and writing assistance as Salesforce challenges ...

"There is no sign of a significant impact on most labor market outcomes," chief economist Jan Hatzius writes. But the shift ...

Rules-based policies and processes offer opportunities for enterprises to begin successful AI automation journeys.

The integration of generative AI, specifically large language models (LLMs), into software development processes presents a myriad of opportunities for enhancing productivity and innovation.

As does much other recent research, the study explores the double-edged sword of enterprise AI, which provides both benefits and challenges, by examining how AI at work affects employees' work and ...

A PwC report in 2020 warned up to 30% of jobs were at risk from automation and AI across the Channel Islands between now and ...

Aiding frontline productivity with generative AI ... Join top leaders June 24–25 in San Francisco to tackle real-world AI challenges, share what’s working, and shape what’s next.