{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6710bd164114798e63e10fe5/6a1ffe5f3d098b7011ed944a?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"#058: Future Bytes with special guest Vignesh Subramanian ","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6710bd164114798e63e10fe5/1780481158893-c4c73299-c40a-450b-83bb-bb7fd889688a.jpeg?height=200","description":"<p>The era of logging into software and telling it what to do is ending. Magnus Oxenwaldt sits down with Vignesh Subramani, SVP of Product Management at Infor, with over 25 years of experience in enterprise software, to explore what the shift from applications to autonomous agents really means for business leaders in manufacturing, distribution, healthcare, fashion, and food and beverage.&nbsp;</p><p><br></p><p>Vignesh has lived through every major shift: client-server, e-commerce, mobile, SaaS. And he's clear this one is different. Not a new feature, but a new architecture. We are no longer adding intelligence to software. We are building software around intelligence.&nbsp;The conversation covers the jagged reality of AI today, the accountability gap between vendors and customers, and what leaders need to do right now to prepare their data, processes, and people. It's also a window into how Infor embeds industry-specific workflows and governed AI agents into its platform, so customers get AI that understands their business, not a generic model bolted on top.&nbsp;</p><p><br></p><p><strong>Episode Highlights&nbsp;</strong></p><p>&nbsp;&nbsp;</p><ul><li>Enterprise software is shifting from applications to agentic AI.&nbsp;</li><li>The 85% accuracy problem — why near-perfect AI still fails in mission-critical operations.&nbsp;</li><li>How to decide which business decisions to hand over to agents.&nbsp;</li><li>AI accountability: where vendor responsibility ends and customer responsibility begins.&nbsp;</li><li>Why industry specificity matters — how Infor builds AI agents trained on the data, workflows, and terminology of specific industries rather than generic models.&nbsp;</li><li>Practical steps to become AI-ready: data quality, governance, and upskilling.&nbsp;</li></ul><p><br></p><p>Connect with Vignesh on LinkedIn: <a href=\"https://www.linkedin.com/in/vsubran/\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.linkedin.com/in/vsubran/</a>&nbsp;</p>","author_name":"Magnus Oxenwaldt"}