{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/657b178ababc4c0017c46b78/6a67c7660bd0d38defb3f443?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI readiness in regulated laboratories","description":"<p>This episode establishes the broader context for AI adoption. Rather than focusing on AI tools themselves, the discussion explores what laboratories must have in place before AI can be applied responsibly.&nbsp;</p><p><br></p><p>Key discussion areas include:&nbsp;</p><ul><li>Why fragmented workflows and disconnected systems limit AI effectiveness&nbsp;</li><li>The importance of trusted, connected laboratory data&nbsp;</li><li>Human-guided AI and human-in-the-loop governance&nbsp;</li><li>Why compliance and auditability should be built into AI-enabled workflows from the outset&nbsp;</li></ul><p>Relevant reference to LabVantage CORTEX:&nbsp;</p><p><br></p><p>LabVantage CORTEX embeds AI within laboratory execution workflows so that intelligence operates within existing scientific and compliance processes, rather than as an external layer.</p>","author_name":"Genetic Engineering & Biotechnology News (GEN)"}