We must listen to women’s voices to deal with gender bias in AI
Rooting out bias in AI demands listening to women’s voices. With gender-diverse teams, organisations can pave the way for equitable AI systems and a diverse future.
Ada Lopez
Leading the future of work
Everything is about to change. Bain & Company, alongside Workato and Skan AI, help us understand how to prepare.
Intelligent Automation and the transformation of Hapag-Lloyd
Hapag-Lloyd employs Intelligent Automation, including RPA and AI, to boost efficiency and customer service in pursuit of its goal to become number one for quality.
Robotics rebooted
Shining light on the future of machine autonomy
In conversation with agile’s founding father
In a frank and fascinating interview, Tom Gilb talks to us about creating agile working methods and trying to stop World War Three
AI in housebuilding: Home wasn’t built in a day
AI’s emergence in housebuilding marks a pivotal shift, enhancing operations from customer service to data analysis. As we embrace innovation, efficiency and quality converge.
Multinational businesses are struggling to breathe under the weight of geographically-bound telephony
Multinational enterprises face fragmented, outdated telephony models. Cloud-based global providers deliver unified contracts, lower costs, and seamless Microsoft Teams integration, enabling consistent, flexible communication across borders.
The road to 4.0
What happens when digital transformation meets ice cream manufacturing? Digital Bulletin interviews key people from Unilever’s Caivano site to learn how the factory is embracing Industry 4.0.
NODE Podcast: Episode 6
This month Ben, Rom and James talk coronavirus and how it’s changing the way we work, how the outbreak is testing healthcare infrastructures and why it’s putting new demands on Silicon Valley. The trio also discuss our Thames Water case study and hear from Richard Brown, CTO of enterprise blockchain firm R3.
Ada Lopez
We must listen to women’s voices to deal with gender bias in AI
Rooting out bias in AI demands listening to women’s voices. With gender-diverse teams, organisations can pave the way for equitable AI systems and a diverse future.