Reducing shadow AI risk with Enterprise-level Automation - ERP Spain.com - España y América Latina

AI promises much in the way of improved operational efficiency and enhanced customer experience, and even offers new capabilities for business model innovation. But the journey to enterprise AI is fraught with challenges and potential pitfalls. Choosing use cases that allow the scaling of an AI capability across the enterprise, not just within one particular functional silo or leveraging one narrow data set. The real danger of Shadow AI courts disaster without a commitment to systematic enterprise approach. But how do organisations get started? What human and platform capabilities need to be in place to build enterprise AI at scale? How do we fulfill the promise of AI? Join us in this IDC webinar sponsored by Red Hat as we answer those questions and learn how to choose and implement use cases across different parts of the enterprise that generate significant business value reasonably quickly without expensive investments in skills, data and technology. Our speakers: Dr. Chris Marshall: Chris Marshall is a Vice President responsible for several areas of research at IDC. Chris leads the Asia/Pacific regional industry research teams, which includes coverage of healthcare, government, retail, energy, manufacturing, and financial services. Additionally, Chris leads our regional teams in data, analytics, artificial intelligence (AI), future of work, and sustainability. Nicholas Chia: At Red Hat Asia Pacific, Nicholas is the Automation Platform Specialist for management solutions in Red Hat’s APAC Office of Technology. He spends most of his time engaging his audiences in both the enterprise and community space on Red Hat management and automation capabilities.