Leveraging Technology for Best Practice Adoption

The session “Leveraging Technology for Best Practice Adoption” focuses on equipping finance professionals with a set of best practices to identify, select, and implement technology within their teams. Presented by Adam Shilton, Head of Partnerships at GrowCFO, provides a framework to navigate the evolving landscape of finance technology and make informed decisions that drive efficiency and productivity.
The topic is crucial as finance teams face increasing pressure to leverage technology to streamline operations, enhance decision-making, and stay competitive in the market. By exploring the latest innovations in areas such as quantum computing, generative AI, and automation, the session empowers attendees to make strategic technology investments that align with their specific challenges and ambitions. The session emphasizes the importance of a structured approach to technology adoption, emphasizing the need to start from zero, filter out noise, delay decisions, and pilot new solutions before full implementation.
Highlights:
- Overview of recent advancements in technology, including quantum computing, generative AI, and automation, and their potential impact on finance.
- Detailed discussion on the evolution of chatbots and language models, such as GPT-4, Claude, and Microsoft Copilot, and their practical applications.
- Presentation of a comprehensive framework for technology adoption, covering steps like starting from zero, filtering options, delaying decisions, piloting solutions, and implementing new technologies.
- Emphasis on the importance of understanding process complexity, mapping challenges and ambitions, and making informed decisions based on a wider set of options.
- Practical tips and resources for researching and evaluating technology solutions, including the use of platforms like G2 and the consideration of integration capabilities.
- Insights on decision-making strategies, such as the “rule of three” and the importance of thorough scoping and testing during implementation.
Responses