Reducing Shadow AI risk with Enterprise-level Automation

According to TechTarget's 2024 Technology Spending Intentions Study, the following areas have become significantly more important to organisations over the past 2 years: 1. Generative AI - 27% of respondents 2. Business and/or IT automation - 32% of respondents Clearly, there is high interest to invest in AI. However, the journey to enterprise AI is full of challenges and potential pitfalls, and there is a more fundamental consideration in order to ensure greater ease and security for AI - IT Automation. On top of that, many questions remain: -Which use cases make sense? Should we start small and only think about scaling across the enterprise later? -What about Shadow AI? Shouldn’t the use of AI be “democratised” to ensure greater adoption? -What are the human and platform capabilities that need to be established in order to eventually build enterprise AI at scale and help AI live up to its promises? Join us in this IDC webinar sponsored by Red Hat as we answer those questions and discuss how we can make the most of AI while minimising risk. 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.