The world of AI is buzzing with excitement over Generative AI, but much of the work being done behind the scenes is more mundane and relies on automation. Intelligent systems and automation are being used together to increase productivity and add value to real-world applications. Christina Kucek, from CAI, discusses the challenges of implementing AI projects and stresses the importance of focusing on projects that provide immediate value in today’s fast-paced world.
One of the biggest challenges in implementing AI is the heavy reliance on data, which can often be lacking in quantity or quality. Many organizations struggle with data management, governance, and architecture, making it difficult to create successful AI projects. Christina emphasizes the importance of breaking down these challenges into manageable pieces to focus on leveraging AI tools for business development.
The CPMAI methodology emphasizes the importance of developing a Business Understanding to identify short-term, implementable AI projects that deliver positive returns. Christina stresses the need to focus on the business case for AI projects, rather than getting caught up in the technical details of the technology itself. As AI tools become more accessible, the focus shifts to changing people and processes rather than technology, which can be a more challenging task.
Christina shares her key lesson learned in working with AI projects, which includes the importance of working iteratively and focusing on the minimum viable product. She also stresses the importance of keeping humans in the loop and gathering accurate feedback to prevent degradation of AI solutions. Overall, the focus is on implementing AI projects that provide real-world value quickly, rather than getting caught up in the hype of cutting-edge technologies.
As AI continues to evolve and become more integrated into daily products and services, it is important for organizations to prioritize real-world value over flashy technologies. By focusing on practical solutions and incorporating feedback into AI projects, organizations can ensure the success of their AI initiatives. Christina Kucek’s insights shed light on the challenges and opportunities of implementing AI in today’s fast-paced world.
