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.
Marine Rabeyrin
Mars Petcare’s Digital Transformation Story
Over four years, Mars has instilled a culture of user centric design and agile sprint delivery.
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.
COVID-19, a gift for cybercriminals
How enterprise can better protect itself from online predators during COVID-19, with Mimecast’s Dr. Kiri Addison
What You Need To Know Before Hiring A Data Centre For Colocation
We break down the five things you need to consider before hiring a data centre for colocation
Locked in or leading forward? Rethinking IT support renewals
IT support contracts often auto-renew, costing businesses time and money. Al Kingsley MBE, CEO of NetSupport, explains why proactive reviews future-proof operations and boost efficiency.
How AI and ML are revolutionising electronics manufacturing
AI and ML are revolutionising electronics manufacturing by optimising production processes, improving quality control, and boosting productivity. Embracing these advanced technologies is crucial for success in Industry 4.0.
NODE Podcast: Episode 20
This month, Ben, Rom and Daniel discuss the rise of Workplace from Facebook and consider how collaboration tools might develop in the future. The panel also reviews our ALE case study, and Ben chats digital optimisation with Amplitude’s Daniel Bailey.
The intelligent automation of BT
BT’s Leigh Feaviour helps us illustrate how the world’s oldest telecoms company is leveraging robotic process automation to transform employee and customer experience.
Marine Rabeyrin
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.