Unlocking AI’s full potential in manufacturing requires a Responsible AI strategy grounded in transparency, accountability and human oversight. XpertRule’s Akeel Attar and Iain Crosley share why ...
Trust is the foundation for successful AI adoption. By addressing skepticism, prioritising data quality and ensuring algorithms are explainable and auditable, AI can become a powerful ...
However far along their AI journey they may be, most businesses are currently struggling with a similar question: where to draw the line between human and AI work, and how to manage the handoff.
To build trust in AI, manufacturers need models that are explainable, accountable and auditable. This begins with transparent AI models that reveal how and why predictions are made.
This week was Sustainability Industry LIVE and it was a day crammed full of debate, discussion, questions and answers on how to tackle the critical role of sustainability in manufacturing.
Ahead of Sustainable Industry Live next month, Head of Manufacturing at XpertRule, Professor Iain Crosley, looks at the key issues in delivering value for businesses, people and planet.
Agentic AI has arrived, but Gen AI’s problems aren’t going away. Here’s how Decision Intelligence can mitigate the risks and limitations of both technologies today.
At the recent PharmaTech Integrates conference, industry experts explored the pressing challenges facing pharmaceutical manufacturing and the role of technology in driving transformative change. ...
The challenge all manufacturers face is how to extract and preserve the priceless tacit knowledge of their workforce. Symbolic AI offers a solution by capturing specialized know-how and making it ...
AI offers powerful tools for improving pharmaceutical processes, but success lies in targeted applications. By balancing technology with reliability, regulatory control and process understanding, AI ...