{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/664486383ffb3a00121efba6/6aa2808dff74edfd00fbdb77?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Are Businesses Pointing AI at the Wrong Problems?","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/664486383ffb3a00121efba6/1789034593624-72895ce1-c0e4-4c29-ac84-a5c6d7e16085.jpeg?height=200","description":"<p>In this episode of AI Right!, we are back after some time away. Kris, Andy and Megan are joined by Senior AI Engineer Francis Beeson to discuss whether businesses are pointing AI at the wrong problems.</p><p><br></p><p>Francis breaks down the difference between static and dynamic task decomposition and explains why most enterprise use cases are better suited to structured workflows than autonomous agents. The group also gets into AI literacy, why giving people Copilot licenses without proper training rarely works, and how businesses can find real return on investment by automating back office processes rather than chasing the latest tools.</p><p><br></p><p>Francis shares frameworks for thinking about the taxonomy of knowledge in an organisation and the distinction between skills and judgment when building AI systems. Megan brings the perspective of someone working in a large media organisation, and Andy reflects on insights from the Oxford AI Summit.</p>","author_name":"Kristopher McFadyen"}