Craig Mackereth from Rimini Street discusses challenges facing financial leaders in adopting AI, including the need for tailored approaches, maximizing ROI in AI projects, embracing failures, and mastering current technologies before delving into generative AI.
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Quick takeaways
Financial services leaders need to prepare IT systems for AI adoption by rethinking workflows.
Brands implementing AI must mitigate risks to reputation and ensure trust and security in conservative industries.
Deep dives
Challenges in AI Adoption for Financial Services
Financial services leaders face challenges in preparing IT systems for AI adoption, needing to clean house and rethink workflows. The uncertainty of determining the future winner in the generative AI space presents a significant challenge due to multiple players and potential costly mistakes. Brands must consider and mitigate risks to their reputation when implementing AI to ensure brand trust and security, especially in industries known for conservatism. Corporate use of AI technology may require a controlled and locked-down approach, emphasizing the importance of data security and a safe environment for information.
Collaboration Opportunities in Technology Sector
Collaboration opportunities in the tech sector extend to areas like consumer education, cybersecurity, and philanthropic efforts. Sharing data and insights can enhance cybersecurity efforts and provide mutually beneficial outcomes for industries facing similar challenges. Engaging with parallel industries allows the tapping into diverse expertise and solutions, fostering an environment of continuous technological evolution and innovation through open-source sharing and iterative development.
Emphasis on Mastering First-Generation AI Capabilities
Leaders must prioritize mastering first-generation AI capabilities before diving into generative AI tools to ensure foundational knowledge and effective utilization. Starting with real-world business problems that offer a return on investment allows for incremental progression and platform building. Learning from failures and understanding that management should embrace unexpected outcomes as valuable insights can lead to future successes, driving innovation and organizational growth.
Today’s guest is Craig Mackereth, Executive Vice President of Global Service Delivery at Rimini Street. Rimini Street is a publicly traded company specializing in third-party support for mission-critical systems for financial services organizations and beyond. Craig joins Emerj Senior Matthew DeMello on today’s program to discuss the most significant challenges currently facing financial services leaders when it comes to driving the IT systems and infrastructure necessary to take advantage of data-heavy generative AI use cases. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.
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