Recent findings reveal that only 8% of organisations have fully embedded AI governance, while 80% of enterprise AI failures stem from poor cross-functional coordination. QA’s new learning paths aim to close both of these critical capability gaps.
Speed matters, but AI safety is non-negotiable
Many businesses are facing a critical challenge: how to expand AI adoption responsibly. This launch addresses the growing concerns around fragmented AI implementation, siloed skills, and governance bottlenecks.
“In the race to adopt AI, speed matters. But safety is non-negotiable,” Richard Beck, QA’s Portfolio Director for Cyber Security told That's Business.
“Our training pathways are built to ensure organisations don’t have to choose between AI innovation and governance - they can have both. Not in opposition, but in a mutually empowering way.”
AI learning pathways designed for real-world impact
QA's pathways have been created by AI and cyber security experts and are designed to help organisations adopt artificial intelligence at speed. The training programmes on offer include:
Certifications aligned with global AI frameworks including ISO, NIST, and the EU AI Act
Expert-led training and simulations for real-world impact
A cross-functional training approach, to unify business, legal, and technical teams
These pathways are designed to tackle today's most pressing AI-related business challenges head-on. They provide role-based training that gives teams the skills to deploy AI securely and confidently, while recognising the wide range of departments involved in adoption.
Training is available for both technical specialists, including cyber security and software engineering, and non-technical teams such as compliance officers and business leaders.
QA’s approach aims to ensure that every function is an enabler of safe, scalable AI adoption – not a blocker.
Learn more by visiting - www.qa.com/ai-speed-and-safety
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